id	sid	tid	token	lemma	pos
10_1101-2021_01_05_425266	1	1	DeepStrain	DeepStrain	NNP
10_1101-2021_01_05_425266	1	2	:	:	:
10_1101-2021_01_05_425266	1	3	A	a	DT
10_1101-2021_01_05_425266	1	4	Deep	Deep	NNP
10_1101-2021_01_05_425266	1	5	Learning	learning	NN
10_1101-2021_01_05_425266	1	6	Workflow	workflow	NN
10_1101-2021_01_05_425266	1	7	for	for	IN
10_1101-2021_01_05_425266	1	8	the	the	DT
10_1101-2021_01_05_425266	1	9	Automated	Automated	NNP
10_1101-2021_01_05_425266	1	10	Characterization	Characterization	NNP
10_1101-2021_01_05_425266	1	11	of	of	IN
10_1101-2021_01_05_425266	1	12	Cardiac	Cardiac	NNP
10_1101-2021_01_05_425266	1	13	Mechanics	Mechanics	NNP
10_1101-2021_01_05_425266	1	14	DeepStrain	DeepStrain	NNP
10_1101-2021_01_05_425266	1	15	:	:	:
10_1101-2021_01_05_425266	1	16	A	a	DT
10_1101-2021_01_05_425266	1	17	Deep	Deep	NNP
10_1101-2021_01_05_425266	1	18	Learning	learning	NN
10_1101-2021_01_05_425266	1	19	Workflow	workflow	NN
10_1101-2021_01_05_425266	1	20	for	for	IN
10_1101-2021_01_05_425266	1	21	the	the	DT
10_1101-2021_01_05_425266	1	22	Automated	Automated	NNP
10_1101-2021_01_05_425266	1	23	Characterization	Characterization	NNP
10_1101-2021_01_05_425266	1	24	of	of	IN
10_1101-2021_01_05_425266	1	25	Cardiac	Cardiac	NNP
10_1101-2021_01_05_425266	1	26	Mechanics	Mechanics	NNP
10_1101-2021_01_05_425266	1	27	Manuel	Manuel	NNP
10_1101-2021_01_05_425266	1	28	A.	A.	NNP
10_1101-2021_01_05_425266	1	29	Morales	Morales	NNP
10_1101-2021_01_05_425266	1	30	,	,	,
10_1101-2021_01_05_425266	1	31	Maaike	Maaike	NNP
10_1101-2021_01_05_425266	1	32	van	van	NNP
10_1101-2021_01_05_425266	1	33	den	den	NN
10_1101-2021_01_05_425266	1	34	Boomen	Boomen	NNP
10_1101-2021_01_05_425266	1	35	,	,	,
10_1101-2021_01_05_425266	1	36	Christopher	Christopher	NNP
10_1101-2021_01_05_425266	1	37	Nguyen	Nguyen	NNP
10_1101-2021_01_05_425266	1	38	,	,	,
10_1101-2021_01_05_425266	1	39	Jayashree	Jayashree	NNP
10_1101-2021_01_05_425266	1	40	Kalpathy	Kalpathy	NNP
10_1101-2021_01_05_425266	1	41	-	-	HYPH
10_1101-2021_01_05_425266	1	42	Cramer	Cramer	NNP
10_1101-2021_01_05_425266	1	43	,	,	,
10_1101-2021_01_05_425266	1	44	Bruce	Bruce	NNP
10_1101-2021_01_05_425266	1	45	R.	R.	NNP
10_1101-2021_01_05_425266	1	46	Rosen	Rosen	NNP
10_1101-2021_01_05_425266	1	47	,	,	,
10_1101-2021_01_05_425266	1	48	Collin	Collin	NNP
10_1101-2021_01_05_425266	1	49	M.	M.	NNP
10_1101-2021_01_05_425266	1	50	Stultz	Stultz	NNP
10_1101-2021_01_05_425266	1	51	,	,	,
10_1101-2021_01_05_425266	1	52	David	David	NNP
10_1101-2021_01_05_425266	1	53	Izquierdo	Izquierdo	NNP
10_1101-2021_01_05_425266	1	54	-	-	HYPH
10_1101-2021_01_05_425266	1	55	Garcia	Garcia	NNP
10_1101-2021_01_05_425266	1	56	*	*	NFP
10_1101-2021_01_05_425266	1	57	,	,	,
10_1101-2021_01_05_425266	1	58	and	and	CC
10_1101-2021_01_05_425266	1	59	Ciprian	Ciprian	NNP
10_1101-2021_01_05_425266	1	60	Catana	Catana	NNP
10_1101-2021_01_05_425266	1	61	*	*	NFP
10_1101-2021_01_05_425266	1	62	Abstract	Abstract	NNP
10_1101-2021_01_05_425266	1	63	—	—	:
10_1101-2021_01_05_425266	1	64	Myocardial	myocardial	JJ
10_1101-2021_01_05_425266	1	65	strain	strain	NN
10_1101-2021_01_05_425266	1	66	analysis	analysis	NN
10_1101-2021_01_05_425266	1	67	from	from	IN
10_1101-2021_01_05_425266	1	68	cinematic	cinematic	JJ
10_1101-2021_01_05_425266	1	69	magnetic	magnetic	JJ
10_1101-2021_01_05_425266	1	70	resonance	resonance	NN
10_1101-2021_01_05_425266	1	71	imaging	imaging	NN
10_1101-2021_01_05_425266	1	72	(	(	-LRB-
10_1101-2021_01_05_425266	1	73	cine	cine	NN
10_1101-2021_01_05_425266	1	74	-	-	HYPH
10_1101-2021_01_05_425266	1	75	MRI	MRI	NNP
10_1101-2021_01_05_425266	1	76	)	)	-RRB-
10_1101-2021_01_05_425266	1	77	data	datum	NNS
10_1101-2021_01_05_425266	1	78	could	could	MD
10_1101-2021_01_05_425266	1	79	provide	provide	VB
10_1101-2021_01_05_425266	1	80	a	a	DT
10_1101-2021_01_05_425266	1	81	more	more	RBR
10_1101-2021_01_05_425266	1	82	thorough	thorough	JJ
10_1101-2021_01_05_425266	1	83	characterization	characterization	NN
10_1101-2021_01_05_425266	1	84	of	of	IN
10_1101-2021_01_05_425266	1	85	cardiac	cardiac	JJ
10_1101-2021_01_05_425266	1	86	mechanics	mechanic	NNS
10_1101-2021_01_05_425266	1	87	than	than	IN
10_1101-2021_01_05_425266	1	88	volumetric	volumetric	NN
10_1101-2021_01_05_425266	1	89	parameters	parameter	NNS
10_1101-2021_01_05_425266	1	90	such	such	JJ
10_1101-2021_01_05_425266	1	91	as	as	IN
10_1101-2021_01_05_425266	1	92	left	left	JJ
10_1101-2021_01_05_425266	1	93	-	-	HYPH
10_1101-2021_01_05_425266	1	94	ventricular	ventricular	NN
10_1101-2021_01_05_425266	1	95	ejection	ejection	NN
10_1101-2021_01_05_425266	1	96	fraction	fraction	NN
10_1101-2021_01_05_425266	1	97	,	,	,
10_1101-2021_01_05_425266	1	98	but	but	CC
10_1101-2021_01_05_425266	1	99	sources	source	NNS
10_1101-2021_01_05_425266	1	100	of	of	IN
10_1101-2021_01_05_425266	1	101	variation	variation	NN
10_1101-2021_01_05_425266	1	102	including	include	VBG
10_1101-2021_01_05_425266	1	103	segmentation	segmentation	NN
10_1101-2021_01_05_425266	1	104	and	and	CC
10_1101-2021_01_05_425266	1	105	motion	motion	NN
10_1101-2021_01_05_425266	1	106	estimation	estimation	NN
10_1101-2021_01_05_425266	1	107	have	have	VBP
10_1101-2021_01_05_425266	1	108	limited	limit	VBN
10_1101-2021_01_05_425266	1	109	its	-PRON-	PRP$
10_1101-2021_01_05_425266	1	110	wide	wide	JJ
10_1101-2021_01_05_425266	1	111	clinical	clinical	JJ
10_1101-2021_01_05_425266	1	112	use	use	NN
10_1101-2021_01_05_425266	1	113	.	.	.
10_1101-2021_01_05_425266	2	1	We	-PRON-	PRP
10_1101-2021_01_05_425266	2	2	designed	design	VBD
10_1101-2021_01_05_425266	2	3	and	and	CC
10_1101-2021_01_05_425266	2	4	validated	validate	VBD
10_1101-2021_01_05_425266	2	5	a	a	DT
10_1101-2021_01_05_425266	2	6	deep	deep	JJ
10_1101-2021_01_05_425266	2	7	learning	learning	NN
10_1101-2021_01_05_425266	2	8	(	(	-LRB-
10_1101-2021_01_05_425266	2	9	DL	DL	NNP
10_1101-2021_01_05_425266	2	10	)	)	-RRB-
10_1101-2021_01_05_425266	2	11	workflow	workflow	VBP
10_1101-2021_01_05_425266	2	12	to	to	TO
10_1101-2021_01_05_425266	2	13	generate	generate	VB
10_1101-2021_01_05_425266	2	14	both	both	DT
10_1101-2021_01_05_425266	2	15	volumetric	volumetric	NN
10_1101-2021_01_05_425266	2	16	parameters	parameter	NNS
10_1101-2021_01_05_425266	2	17	and	and	CC
10_1101-2021_01_05_425266	2	18	strain	strain	VB
10_1101-2021_01_05_425266	2	19	measures	measure	NNS
10_1101-2021_01_05_425266	2	20	from	from	IN
10_1101-2021_01_05_425266	2	21	cine	cine	NN
10_1101-2021_01_05_425266	2	22	-	-	HYPH
10_1101-2021_01_05_425266	2	23	MRI	mri	NN
10_1101-2021_01_05_425266	2	24	data	datum	NNS
10_1101-2021_01_05_425266	2	25	,	,	,
10_1101-2021_01_05_425266	2	26	including	include	VBG
10_1101-2021_01_05_425266	2	27	strain	strain	NN
10_1101-2021_01_05_425266	2	28	rate	rate	NN
10_1101-2021_01_05_425266	2	29	(	(	-LRB-
10_1101-2021_01_05_425266	2	30	SR	SR	NNP
10_1101-2021_01_05_425266	2	31	)	)	-RRB-
10_1101-2021_01_05_425266	2	32	and	and	CC
10_1101-2021_01_05_425266	2	33	regional	regional	JJ
10_1101-2021_01_05_425266	2	34	strain	strain	NN
10_1101-2021_01_05_425266	2	35	polar	polar	JJ
10_1101-2021_01_05_425266	2	36	maps	map	NNS
10_1101-2021_01_05_425266	2	37	,	,	,
10_1101-2021_01_05_425266	2	38	consisting	consist	VBG
10_1101-2021_01_05_425266	2	39	of	of	IN
10_1101-2021_01_05_425266	2	40	segmentation	segmentation	NN
10_1101-2021_01_05_425266	2	41	and	and	CC
10_1101-2021_01_05_425266	2	42	motion	motion	NN
10_1101-2021_01_05_425266	2	43	estimation	estimation	NN
10_1101-2021_01_05_425266	2	44	convolutional	convolutional	JJ
10_1101-2021_01_05_425266	2	45	neural	neural	JJ
10_1101-2021_01_05_425266	2	46	networks	network	NNS
10_1101-2021_01_05_425266	2	47	developed	develop	VBD
10_1101-2021_01_05_425266	2	48	and	and	CC
10_1101-2021_01_05_425266	2	49	trained	train	VBD
10_1101-2021_01_05_425266	2	50	using	use	VBG
10_1101-2021_01_05_425266	2	51	healthy	healthy	JJ
10_1101-2021_01_05_425266	2	52	and	and	CC
10_1101-2021_01_05_425266	2	53	cardiovascular	cardiovascular	JJ
10_1101-2021_01_05_425266	2	54	disease	disease	NN
10_1101-2021_01_05_425266	2	55	(	(	-LRB-
10_1101-2021_01_05_425266	2	56	CVD	CVD	NNP
10_1101-2021_01_05_425266	2	57	)	)	-RRB-
10_1101-2021_01_05_425266	2	58	subjects	subject	NNS
10_1101-2021_01_05_425266	2	59	(	(	-LRB-
10_1101-2021_01_05_425266	2	60	n=150	n=150	NNP
10_1101-2021_01_05_425266	2	61	)	)	-RRB-
10_1101-2021_01_05_425266	2	62	.	.	.
10_1101-2021_01_05_425266	3	1	DL	DL	NNP
10_1101-2021_01_05_425266	3	2	-	-	HYPH
10_1101-2021_01_05_425266	3	3	based	base	VBN
10_1101-2021_01_05_425266	3	4	volumetric	volumetric	NN
10_1101-2021_01_05_425266	3	5	parameters	parameter	NNS
10_1101-2021_01_05_425266	3	6	were	be	VBD
10_1101-2021_01_05_425266	3	7	correlated	correlate	VBN
10_1101-2021_01_05_425266	3	8	(	(	-LRB-
10_1101-2021_01_05_425266	3	9	>	>	XX
10_1101-2021_01_05_425266	3	10	0.98	0.98	CD
10_1101-2021_01_05_425266	3	11	)	)	-RRB-
10_1101-2021_01_05_425266	3	12	and	and	CC
10_1101-2021_01_05_425266	3	13	without	without	IN
10_1101-2021_01_05_425266	3	14	significant	significant	JJ
10_1101-2021_01_05_425266	3	15	bias	bias	NN
10_1101-2021_01_05_425266	3	16	relative	relative	JJ
10_1101-2021_01_05_425266	3	17	to	to	IN
10_1101-2021_01_05_425266	3	18	parameters	parameter	NNS
10_1101-2021_01_05_425266	3	19	derived	derive	VBN
10_1101-2021_01_05_425266	3	20	from	from	IN
10_1101-2021_01_05_425266	3	21	manual	manual	JJ
10_1101-2021_01_05_425266	3	22	segmentations	segmentation	NNS
10_1101-2021_01_05_425266	3	23	in	in	IN
10_1101-2021_01_05_425266	3	24	50	50	CD
10_1101-2021_01_05_425266	3	25	healthy	healthy	JJ
10_1101-2021_01_05_425266	3	26	and	and	CC
10_1101-2021_01_05_425266	3	27	CVD	CVD	NNP
10_1101-2021_01_05_425266	3	28	subjects	subject	NNS
10_1101-2021_01_05_425266	3	29	.	.	.
10_1101-2021_01_05_425266	4	1	Compared	compare	VBN
10_1101-2021_01_05_425266	4	2	to	to	IN
10_1101-2021_01_05_425266	4	3	landmarks	landmark	NNS
10_1101-2021_01_05_425266	4	4	manually	manually	RB
10_1101-2021_01_05_425266	4	5	-	-	HYPH
10_1101-2021_01_05_425266	4	6	tracked	track	VBN
10_1101-2021_01_05_425266	4	7	on	on	IN
10_1101-2021_01_05_425266	4	8	tagging	tagging	NN
10_1101-2021_01_05_425266	4	9	-	-	HYPH
10_1101-2021_01_05_425266	4	10	MRI	mri	NN
10_1101-2021_01_05_425266	4	11	images	image	NNS
10_1101-2021_01_05_425266	4	12	from	from	IN
10_1101-2021_01_05_425266	4	13	15	15	CD
10_1101-2021_01_05_425266	4	14	healthy	healthy	JJ
10_1101-2021_01_05_425266	4	15	subjects	subject	NNS
10_1101-2021_01_05_425266	4	16	,	,	,
10_1101-2021_01_05_425266	4	17	landmark	landmark	NN
10_1101-2021_01_05_425266	4	18	deformation	deformation	NN
10_1101-2021_01_05_425266	4	19	using	use	VBG
10_1101-2021_01_05_425266	4	20	DL	DL	NNP
10_1101-2021_01_05_425266	4	21	-	-	HYPH
10_1101-2021_01_05_425266	4	22	based	base	VBN
10_1101-2021_01_05_425266	4	23	motion	motion	NN
10_1101-2021_01_05_425266	4	24	estimates	estimate	NNS
10_1101-2021_01_05_425266	4	25	from	from	IN
10_1101-2021_01_05_425266	4	26	paired	pair	VBN
10_1101-2021_01_05_425266	4	27	cine	cine	NN
10_1101-2021_01_05_425266	4	28	-	-	HYPH
10_1101-2021_01_05_425266	4	29	MRI	MRI	NNP
10_1101-2021_01_05_425266	4	30	data	datum	NNS
10_1101-2021_01_05_425266	4	31	resulted	result	VBD
10_1101-2021_01_05_425266	4	32	in	in	IN
10_1101-2021_01_05_425266	4	33	an	an	DT
10_1101-2021_01_05_425266	4	34	end-	end-	NN
10_1101-2021_01_05_425266	4	35	point	point	NN
10_1101-2021_01_05_425266	4	36	-	-	HYPH
10_1101-2021_01_05_425266	4	37	error	error	NN
10_1101-2021_01_05_425266	4	38	of	of	IN
10_1101-2021_01_05_425266	4	39	2.9	2.9	CD
10_1101-2021_01_05_425266	4	40	±	±	CD
10_1101-2021_01_05_425266	4	41	1.5	1.5	CD
10_1101-2021_01_05_425266	4	42	mm	mm	CD
10_1101-2021_01_05_425266	4	43	.	.	.
10_1101-2021_01_05_425266	5	1	Measures	measure	NNS
10_1101-2021_01_05_425266	5	2	of	of	IN
10_1101-2021_01_05_425266	5	3	end	end	NN
10_1101-2021_01_05_425266	5	4	-	-	HYPH
10_1101-2021_01_05_425266	5	5	systolic	systolic	JJ
10_1101-2021_01_05_425266	5	6	global	global	JJ
10_1101-2021_01_05_425266	5	7	strain	strain	NN
10_1101-2021_01_05_425266	5	8	from	from	IN
10_1101-2021_01_05_425266	5	9	these	these	DT
10_1101-2021_01_05_425266	5	10	cine	cine	NN
10_1101-2021_01_05_425266	5	11	-	-	HYPH
10_1101-2021_01_05_425266	5	12	MRI	mri	NN
10_1101-2021_01_05_425266	5	13	data	datum	NNS
10_1101-2021_01_05_425266	5	14	showed	show	VBD
10_1101-2021_01_05_425266	5	15	no	no	DT
10_1101-2021_01_05_425266	5	16	significant	significant	JJ
10_1101-2021_01_05_425266	5	17	biases	bias	NNS
10_1101-2021_01_05_425266	5	18	relative	relative	JJ
10_1101-2021_01_05_425266	5	19	to	to	IN
10_1101-2021_01_05_425266	5	20	a	a	DT
10_1101-2021_01_05_425266	5	21	tagging	tagging	NN
10_1101-2021_01_05_425266	5	22	-	-	HYPH
10_1101-2021_01_05_425266	5	23	MRI	mri	NN
10_1101-2021_01_05_425266	5	24	reference	reference	NN
10_1101-2021_01_05_425266	5	25	method	method	NN
10_1101-2021_01_05_425266	5	26	.	.	.
10_1101-2021_01_05_425266	6	1	On	on	IN
10_1101-2021_01_05_425266	6	2	4	4	CD
10_1101-2021_01_05_425266	6	3	healthy	healthy	JJ
10_1101-2021_01_05_425266	6	4	subjects	subject	NNS
10_1101-2021_01_05_425266	6	5	,	,	,
10_1101-2021_01_05_425266	6	6	intraclass	intraclass	NN
10_1101-2021_01_05_425266	6	7	correlation	correlation	NN
10_1101-2021_01_05_425266	6	8	coefficient	coefficient	NN
10_1101-2021_01_05_425266	6	9	for	for	IN
10_1101-2021_01_05_425266	6	10	intra-	intra-	NNP
10_1101-2021_01_05_425266	6	11	scanner	scanner	NN
10_1101-2021_01_05_425266	6	12	repeatability	repeatability	NN
10_1101-2021_01_05_425266	6	13	was	be	VBD
10_1101-2021_01_05_425266	6	14	excellent	excellent	JJ
10_1101-2021_01_05_425266	6	15	(	(	-LRB-
10_1101-2021_01_05_425266	6	16	>	>	XX
10_1101-2021_01_05_425266	6	17	0.95	0.95	CD
10_1101-2021_01_05_425266	6	18	)	)	-RRB-
10_1101-2021_01_05_425266	6	19	for	for	IN
10_1101-2021_01_05_425266	6	20	strain	strain	NN
10_1101-2021_01_05_425266	6	21	,	,	,
10_1101-2021_01_05_425266	6	22	moderate	moderate	JJ
10_1101-2021_01_05_425266	6	23	to	to	TO
10_1101-2021_01_05_425266	6	24	excellent	excellent	VB
10_1101-2021_01_05_425266	6	25	for	for	IN
10_1101-2021_01_05_425266	6	26	SR	SR	NNP
10_1101-2021_01_05_425266	6	27	(	(	-LRB-
10_1101-2021_01_05_425266	6	28	0.690	0.690	CD
10_1101-2021_01_05_425266	6	29	-	-	HYPH
10_1101-2021_01_05_425266	6	30	0.963	0.963	CD
10_1101-2021_01_05_425266	6	31	)	)	-RRB-
10_1101-2021_01_05_425266	6	32	,	,	,
10_1101-2021_01_05_425266	6	33	and	and	CC
10_1101-2021_01_05_425266	6	34	good	good	JJ
10_1101-2021_01_05_425266	6	35	to	to	TO
10_1101-2021_01_05_425266	6	36	excellent	excellent	VB
10_1101-2021_01_05_425266	6	37	(	(	-LRB-
10_1101-2021_01_05_425266	6	38	0.826	0.826	CD
10_1101-2021_01_05_425266	6	39	-	-	SYM
10_1101-2021_01_05_425266	6	40	0.994	0.994	CD
10_1101-2021_01_05_425266	6	41	)	)	-RRB-
10_1101-2021_01_05_425266	6	42	in	in	IN
10_1101-2021_01_05_425266	6	43	most	most	JJS
10_1101-2021_01_05_425266	6	44	polar	polar	JJ
10_1101-2021_01_05_425266	6	45	map	map	NN
10_1101-2021_01_05_425266	6	46	segments	segment	NNS
10_1101-2021_01_05_425266	6	47	.	.	.
10_1101-2021_01_05_425266	7	1	Absolute	absolute	JJ
10_1101-2021_01_05_425266	7	2	relative	relative	JJ
10_1101-2021_01_05_425266	7	3	change	change	NN
10_1101-2021_01_05_425266	7	4	was	be	VBD
10_1101-2021_01_05_425266	7	5	within	within	IN
10_1101-2021_01_05_425266	7	6	~5	~5	CD
10_1101-2021_01_05_425266	7	7	%	%	NN
10_1101-2021_01_05_425266	7	8	for	for	IN
10_1101-2021_01_05_425266	7	9	strain	strain	NN
10_1101-2021_01_05_425266	7	10	,	,	,
10_1101-2021_01_05_425266	7	11	within	within	IN
10_1101-2021_01_05_425266	7	12	~10	~10	NNP
10_1101-2021_01_05_425266	7	13	%	%	NN
10_1101-2021_01_05_425266	7	14	for	for	IN
10_1101-2021_01_05_425266	7	15	SR	SR	NNP
10_1101-2021_01_05_425266	7	16	,	,	,
10_1101-2021_01_05_425266	7	17	and	and	CC
10_1101-2021_01_05_425266	7	18	<	<	XX
10_1101-2021_01_05_425266	7	19	1	1	CD
10_1101-2021_01_05_425266	7	20	%	%	NN
10_1101-2021_01_05_425266	7	21	in	in	IN
10_1101-2021_01_05_425266	7	22	half	half	NN
10_1101-2021_01_05_425266	7	23	of	of	IN
10_1101-2021_01_05_425266	7	24	polar	polar	JJ
10_1101-2021_01_05_425266	7	25	map	map	NN
10_1101-2021_01_05_425266	7	26	segments	segment	NNS
10_1101-2021_01_05_425266	7	27	.	.	.
10_1101-2021_01_05_425266	8	1	In	in	IN
10_1101-2021_01_05_425266	8	2	conclusion	conclusion	NN
10_1101-2021_01_05_425266	8	3	,	,	,
10_1101-2021_01_05_425266	8	4	we	-PRON-	PRP
10_1101-2021_01_05_425266	8	5	developed	develop	VBD
10_1101-2021_01_05_425266	8	6	and	and	CC
10_1101-2021_01_05_425266	8	7	evaluated	evaluate	VBD
10_1101-2021_01_05_425266	8	8	a	a	DT
10_1101-2021_01_05_425266	8	9	DL	DL	NNP
10_1101-2021_01_05_425266	8	10	-	-	HYPH
10_1101-2021_01_05_425266	8	11	based	base	VBN
10_1101-2021_01_05_425266	8	12	,	,	,
10_1101-2021_01_05_425266	8	13	end-	end-	NN
10_1101-2021_01_05_425266	8	14	to	to	TO
10_1101-2021_01_05_425266	8	15	-	-	HYPH
10_1101-2021_01_05_425266	8	16	end	end	NN
10_1101-2021_01_05_425266	8	17	fully	fully	RB
10_1101-2021_01_05_425266	8	18	-	-	HYPH
10_1101-2021_01_05_425266	8	19	automatic	automatic	JJ
10_1101-2021_01_05_425266	8	20	workflow	workflow	NN
10_1101-2021_01_05_425266	8	21	for	for	IN
10_1101-2021_01_05_425266	8	22	global	global	JJ
10_1101-2021_01_05_425266	8	23	and	and	CC
10_1101-2021_01_05_425266	8	24	regional	regional	JJ
10_1101-2021_01_05_425266	8	25	myocardial	myocardial	JJ
10_1101-2021_01_05_425266	8	26	strain	strain	NN
10_1101-2021_01_05_425266	8	27	analysis	analysis	NN
10_1101-2021_01_05_425266	8	28	to	to	TO
10_1101-2021_01_05_425266	8	29	quantitatively	quantitatively	RB
10_1101-2021_01_05_425266	8	30	characterize	characterize	VB
10_1101-2021_01_05_425266	8	31	cardiac	cardiac	JJ
10_1101-2021_01_05_425266	8	32	mechanics	mechanic	NNS
10_1101-2021_01_05_425266	8	33	of	of	IN
10_1101-2021_01_05_425266	8	34	healthy	healthy	JJ
10_1101-2021_01_05_425266	8	35	and	and	CC
10_1101-2021_01_05_425266	8	36	CVD	CVD	NNP
10_1101-2021_01_05_425266	8	37	subjects	subject	NNS
10_1101-2021_01_05_425266	8	38	based	base	VBN
10_1101-2021_01_05_425266	8	39	on	on	IN
10_1101-2021_01_05_425266	8	40	ubiquitously	ubiquitously	RB
10_1101-2021_01_05_425266	8	41	acquired	acquire	VBN
10_1101-2021_01_05_425266	8	42	cine	cine	NN
10_1101-2021_01_05_425266	8	43	-	-	HYPH
10_1101-2021_01_05_425266	8	44	MRI	MRI	NNP
10_1101-2021_01_05_425266	8	45	data	datum	NNS
10_1101-2021_01_05_425266	8	46	.	.	.
10_1101-2021_01_05_425266	9	1	Index	index	NN
10_1101-2021_01_05_425266	9	2	Terms	term	NNS
10_1101-2021_01_05_425266	9	3	—	—	:
10_1101-2021_01_05_425266	9	4	cardiac	cardiac	JJ
10_1101-2021_01_05_425266	9	5	cine	cine	NN
10_1101-2021_01_05_425266	9	6	-	-	HYPH
10_1101-2021_01_05_425266	9	7	MRI	MRI	NNP
10_1101-2021_01_05_425266	9	8	,	,	,
10_1101-2021_01_05_425266	9	9	deep	deep	JJ
10_1101-2021_01_05_425266	9	10	learning	learning	NN
10_1101-2021_01_05_425266	9	11	,	,	,
10_1101-2021_01_05_425266	9	12	motion	motion	NN
10_1101-2021_01_05_425266	9	13	estimation	estimation	NN
10_1101-2021_01_05_425266	9	14	,	,	,
10_1101-2021_01_05_425266	9	15	myocardial	myocardial	JJ
10_1101-2021_01_05_425266	9	16	strain	strain	NN
10_1101-2021_01_05_425266	9	17	,	,	,
10_1101-2021_01_05_425266	9	18	segmentation	segmentation	NN
10_1101-2021_01_05_425266	9	19	.	.	.
10_1101-2021_01_05_425266	10	1	Submitted	submit	VBN
10_1101-2021_01_05_425266	10	2	for	for	IN
10_1101-2021_01_05_425266	10	3	review	review	NN
10_1101-2021_01_05_425266	10	4	on	on	IN
10_1101-2021_01_05_425266	10	5	Dec	Dec	NNP
10_1101-2021_01_05_425266	10	6	20	20	CD
10_1101-2021_01_05_425266	10	7	,	,	,
10_1101-2021_01_05_425266	10	8	2020	2020	CD
10_1101-2021_01_05_425266	10	9	.	.	.
10_1101-2021_01_05_425266	11	1	This	this	DT
10_1101-2021_01_05_425266	11	2	work	work	NN
10_1101-2021_01_05_425266	11	3	was	be	VBD
10_1101-2021_01_05_425266	11	4	supported	support	VBN
10_1101-2021_01_05_425266	11	5	in	in	IN
10_1101-2021_01_05_425266	11	6	part	part	NN
10_1101-2021_01_05_425266	11	7	by	by	IN
10_1101-2021_01_05_425266	11	8	the	the	DT
10_1101-2021_01_05_425266	11	9	U.S.	U.S.	NNP
10_1101-2021_01_05_425266	11	10	National	National	NNP
10_1101-2021_01_05_425266	11	11	Cancer	Cancer	NNP
10_1101-2021_01_05_425266	11	12	Institute	Institute	NNP
10_1101-2021_01_05_425266	11	13	under	under	IN
10_1101-2021_01_05_425266	11	14	Grant	Grant	NNP
10_1101-2021_01_05_425266	11	15	1R01CA218187	1R01CA218187	NNP
10_1101-2021_01_05_425266	11	16	-	-	HYPH
10_1101-2021_01_05_425266	11	17	01A1	01A1	NNP
10_1101-2021_01_05_425266	11	18	.	.	.
10_1101-2021_01_05_425266	12	1	(	(	-LRB-
10_1101-2021_01_05_425266	12	2	Asterisk	Asterisk	NNP
10_1101-2021_01_05_425266	12	3	indicates	indicate	VBZ
10_1101-2021_01_05_425266	12	4	D.	D.	NNP
10_1101-2021_01_05_425266	12	5	Izquierdo	Izquierdo	NNP
10_1101-2021_01_05_425266	12	6	-	-	HYPH
10_1101-2021_01_05_425266	12	7	Garcia	Garcia	NNP
10_1101-2021_01_05_425266	12	8	and	and	CC
10_1101-2021_01_05_425266	12	9	C.	C.	NNP
10_1101-2021_01_05_425266	12	10	Catana	Catana	NNP
10_1101-2021_01_05_425266	12	11	contributed	contribute	VBD
10_1101-2021_01_05_425266	12	12	equally	equally	RB
10_1101-2021_01_05_425266	12	13	to	to	IN
10_1101-2021_01_05_425266	12	14	this	this	DT
10_1101-2021_01_05_425266	12	15	work	work	NN
10_1101-2021_01_05_425266	12	16	)	)	-RRB-
10_1101-2021_01_05_425266	12	17	.	.	.
10_1101-2021_01_05_425266	13	1	(	(	-LRB-
10_1101-2021_01_05_425266	13	2	Corresponding	correspond	VBG
10_1101-2021_01_05_425266	13	3	authors	author	NNS
10_1101-2021_01_05_425266	13	4	:	:	:
10_1101-2021_01_05_425266	13	5	D.	D.	NNP
10_1101-2021_01_05_425266	13	6	Izquierdo	Izquierdo	NNP
10_1101-2021_01_05_425266	13	7	-	-	HYPH
10_1101-2021_01_05_425266	13	8	Garcia	Garcia	NNP
10_1101-2021_01_05_425266	13	9	;	;	:
10_1101-2021_01_05_425266	13	10	C.	C.	NNP
10_1101-2021_01_05_425266	13	11	Catana	Catana	NNP
10_1101-2021_01_05_425266	13	12	)	)	-RRB-
10_1101-2021_01_05_425266	13	13	.	.	.
10_1101-2021_01_05_425266	14	1	M.A.	M.A.	NNP
10_1101-2021_01_05_425266	15	1	Morales	Morales	NNP
10_1101-2021_01_05_425266	15	2	,	,	,
10_1101-2021_01_05_425266	15	3	D.	D.	NNP
10_1101-2021_01_05_425266	15	4	Izquierdo	Izquierdo	NNP
10_1101-2021_01_05_425266	15	5	-	-	HYPH
10_1101-2021_01_05_425266	15	6	Garcia	Garcia	NNP
10_1101-2021_01_05_425266	15	7	and	and	CC
10_1101-2021_01_05_425266	15	8	B.R.	B.R.	NNP
10_1101-2021_01_05_425266	16	1	Rosen	Rosen	NNP
10_1101-2021_01_05_425266	16	2	,	,	,
10_1101-2021_01_05_425266	16	3	with	with	IN
10_1101-2021_01_05_425266	16	4	Athinoula	Athinoula	NNP
10_1101-2021_01_05_425266	16	5	A.	A.	NNP
10_1101-2021_01_05_425266	16	6	Martinos	Martinos	NNP
10_1101-2021_01_05_425266	16	7	Center	Center	NNP
10_1101-2021_01_05_425266	16	8	for	for	IN
10_1101-2021_01_05_425266	16	9	Biomedical	Biomedical	NNP
10_1101-2021_01_05_425266	16	10	Imaging	Imaging	NNP
10_1101-2021_01_05_425266	16	11	,	,	,
10_1101-2021_01_05_425266	16	12	MGH	MGH	NNP
10_1101-2021_01_05_425266	16	13	,	,	,
10_1101-2021_01_05_425266	16	14	HMS	HMS	NNP
10_1101-2021_01_05_425266	16	15	,	,	,
10_1101-2021_01_05_425266	16	16	149	149	CD
10_1101-2021_01_05_425266	16	17	13th	13th	NN
10_1101-2021_01_05_425266	16	18	St	St	NNP
10_1101-2021_01_05_425266	16	19	,	,	,
10_1101-2021_01_05_425266	16	20	Boston	Boston	NNP
10_1101-2021_01_05_425266	16	21	,	,	,
10_1101-2021_01_05_425266	16	22	MA	MA	NNP
10_1101-2021_01_05_425266	16	23	02129	02129	CD
10_1101-2021_01_05_425266	16	24	(	(	-LRB-
10_1101-2021_01_05_425266	16	25	email	email	NN
10_1101-2021_01_05_425266	16	26	:	:	:
10_1101-2021_01_05_425266	16	27	moralesq@mit.edu	moralesq@mit.edu	NNP
10_1101-2021_01_05_425266	16	28	;	;	:
10_1101-2021_01_05_425266	16	29	davidizq@nmr.mgh.harvard.edu	davidizq@nmr.mgh.harvard.edu	NNP
10_1101-2021_01_05_425266	16	30	;	;	:
10_1101-2021_01_05_425266	16	31	brrosen@mgh.harvard.edu	brrosen@mgh.harvard.edu	ADD
10_1101-2021_01_05_425266	16	32	)	)	-RRB-
10_1101-2021_01_05_425266	16	33	and	and	CC
10_1101-2021_01_05_425266	16	34	with	with	IN
10_1101-2021_01_05_425266	16	35	Harvard	Harvard	NNP
10_1101-2021_01_05_425266	16	36	-	-	HYPH
10_1101-2021_01_05_425266	16	37	MIT	MIT	NNP
10_1101-2021_01_05_425266	16	38	Health	Health	NNP
10_1101-2021_01_05_425266	16	39	Science	Science	NNP
10_1101-2021_01_05_425266	16	40	and	and	CC
10_1101-2021_01_05_425266	16	41	Technology	Technology	NNP
10_1101-2021_01_05_425266	16	42	,	,	,
10_1101-2021_01_05_425266	16	43	77	77	CD
10_1101-2021_01_05_425266	16	44	Massachusetts	Massachusetts	NNP
10_1101-2021_01_05_425266	16	45	Ave	Ave	NNP
10_1101-2021_01_05_425266	16	46	,	,	,
10_1101-2021_01_05_425266	16	47	Cambridge	Cambridge	NNP
10_1101-2021_01_05_425266	16	48	,	,	,
10_1101-2021_01_05_425266	16	49	MA	MA	NNP
10_1101-2021_01_05_425266	16	50	,	,	,
10_1101-2021_01_05_425266	16	51	02139	02139	CD
10_1101-2021_01_05_425266	16	52	.	.	.
10_1101-2021_01_05_425266	17	1	M.V.D.	M.V.D.	NNP
10_1101-2021_01_05_425266	18	1	Boomen	Boomen	NNP
10_1101-2021_01_05_425266	18	2	and	and	CC
10_1101-2021_01_05_425266	18	3	C.	C.	NNP
10_1101-2021_01_05_425266	18	4	Nguyen	Nguyen	NNP
10_1101-2021_01_05_425266	18	5	,	,	,
10_1101-2021_01_05_425266	18	6	with	with	IN
10_1101-2021_01_05_425266	18	7	Cardiovascular	Cardiovascular	NNP
10_1101-2021_01_05_425266	18	8	Research	Research	NNP
10_1101-2021_01_05_425266	18	9	Center	Center	NNP
10_1101-2021_01_05_425266	18	10	and	and	CC
10_1101-2021_01_05_425266	18	11	Martinos	Martinos	NNP
10_1101-2021_01_05_425266	18	12	Center	Center	NNP
10_1101-2021_01_05_425266	18	13	for	for	IN
10_1101-2021_01_05_425266	18	14	Biomedical	Biomedical	NNP
10_1101-2021_01_05_425266	18	15	Imaging	Imaging	NNP
10_1101-2021_01_05_425266	18	16	,	,	,
10_1101-2021_01_05_425266	18	17	MGH	MGH	NNP
10_1101-2021_01_05_425266	18	18	,	,	,
10_1101-2021_01_05_425266	18	19	HMS	HMS	NNP
10_1101-2021_01_05_425266	18	20	,	,	,
10_1101-2021_01_05_425266	18	21	149	149	CD
10_1101-2021_01_05_425266	18	22	13th	13th	NN
10_1101-2021_01_05_425266	18	23	St	St	NNP
10_1101-2021_01_05_425266	18	24	,	,	,
10_1101-2021_01_05_425266	18	25	Boston	Boston	NNP
10_1101-2021_01_05_425266	18	26	,	,	,
10_1101-2021_01_05_425266	18	27	MA	MA	NNP
10_1101-2021_01_05_425266	18	28	02129	02129	CD
10_1101-2021_01_05_425266	18	29	,	,	,
10_1101-2021_01_05_425266	18	30	with	with	IN
10_1101-2021_01_05_425266	18	31	Department	Department	NNP
10_1101-2021_01_05_425266	18	32	of	of	IN
10_1101-2021_01_05_425266	18	33	Radiology	Radiology	NNP
10_1101-2021_01_05_425266	18	34	,	,	,
10_1101-2021_01_05_425266	18	35	and	and	CC
10_1101-2021_01_05_425266	18	36	M.V.D.	M.V.D.	NNP
10_1101-2021_01_05_425266	19	1	Boomen	booman	NNS
10_1101-2021_01_05_425266	19	2	also	also	RB
10_1101-2021_01_05_425266	19	3	with	with	IN
10_1101-2021_01_05_425266	19	4	University	University	NNP
10_1101-2021_01_05_425266	19	5	Medical	Medical	NNP
10_1101-2021_01_05_425266	19	6	Center	Center	NNP
10_1101-2021_01_05_425266	19	7	Groningen	Groningen	NNP
10_1101-2021_01_05_425266	19	8	,	,	,
10_1101-2021_01_05_425266	19	9	9713	9713	CD
10_1101-2021_01_05_425266	19	10	GZ	GZ	NNP
10_1101-2021_01_05_425266	19	11	Groningen	Groningen	NNP
10_1101-2021_01_05_425266	19	12	(	(	-LRB-
10_1101-2021_01_05_425266	19	13	email	email	NN
10_1101-2021_01_05_425266	19	14	:	:	:
10_1101-2021_01_05_425266	19	15	mvandenboomen@mgh.harvard.edu	mvandenboomen@mgh.harvard.edu	NNS
10_1101-2021_01_05_425266	19	16	;	;	:
10_1101-2021_01_05_425266	19	17	Christopher.nguyen@mgh.havard.edu	Christopher.nguyen@mgh.havard.edu	NNP
10_1101-2021_01_05_425266	19	18	)	)	-RRB-
10_1101-2021_01_05_425266	19	19	.	.	.
10_1101-2021_01_05_425266	20	1	C.M.	C.M.	NNP
10_1101-2021_01_05_425266	21	1	Stultz	Stultz	NNP
10_1101-2021_01_05_425266	21	2	,	,	,
10_1101-2021_01_05_425266	21	3	with	with	IN
10_1101-2021_01_05_425266	21	4	Electrical	Electrical	NNP
10_1101-2021_01_05_425266	21	5	Engineering	Engineering	NNP
10_1101-2021_01_05_425266	21	6	and	and	CC
10_1101-2021_01_05_425266	21	7	Computer	Computer	NNP
10_1101-2021_01_05_425266	21	8	Science	Science	NNP
10_1101-2021_01_05_425266	21	9	,	,	,
10_1101-2021_01_05_425266	21	10	with	with	IN
10_1101-2021_01_05_425266	21	11	Harvard	Harvard	NNP
10_1101-2021_01_05_425266	21	12	-	-	HYPH
10_1101-2021_01_05_425266	21	13	MIT	MIT	NNP
10_1101-2021_01_05_425266	21	14	Health	Health	NNP
10_1101-2021_01_05_425266	21	15	Science	Science	NNP
10_1101-2021_01_05_425266	21	16	and	and	CC
10_1101-2021_01_05_425266	21	17	Technology	Technology	NNP
10_1101-2021_01_05_425266	21	18	,	,	,
10_1101-2021_01_05_425266	21	19	77	77	CD
10_1101-2021_01_05_425266	21	20	Massachusetts	Massachusetts	NNP
10_1101-2021_01_05_425266	21	21	Ave	Ave	NNP
10_1101-2021_01_05_425266	21	22	,	,	,
10_1101-2021_01_05_425266	21	23	Cambridge	Cambridge	NNP
10_1101-2021_01_05_425266	21	24	,	,	,
10_1101-2021_01_05_425266	21	25	MA	MA	NNP
10_1101-2021_01_05_425266	21	26	,	,	,
10_1101-2021_01_05_425266	21	27	02139	02139	CD
10_1101-2021_01_05_425266	21	28	,	,	,
10_1101-2021_01_05_425266	21	29	and	and	CC
10_1101-2021_01_05_425266	21	30	with	with	IN
10_1101-2021_01_05_425266	21	31	Division	Division	NNP
10_1101-2021_01_05_425266	21	32	of	of	IN
10_1101-2021_01_05_425266	21	33	Cardiology	Cardiology	NNP
10_1101-2021_01_05_425266	21	34	,	,	,
10_1101-2021_01_05_425266	21	35	MGH	MGH	NNP
10_1101-2021_01_05_425266	21	36	,	,	,
10_1101-2021_01_05_425266	21	37	55	55	CD
10_1101-2021_01_05_425266	21	38	Fruit	Fruit	NNP
10_1101-2021_01_05_425266	21	39	St	St	NNP
10_1101-2021_01_05_425266	21	40	,	,	,
10_1101-2021_01_05_425266	21	41	Boston	Boston	NNP
10_1101-2021_01_05_425266	21	42	,	,	,
10_1101-2021_01_05_425266	21	43	MA	MA	NNP
10_1101-2021_01_05_425266	21	44	,	,	,
10_1101-2021_01_05_425266	21	45	02114	02114	CD
10_1101-2021_01_05_425266	21	46	(	(	-LRB-
10_1101-2021_01_05_425266	21	47	cmstultz@mit.edu	cmstultz@mit.edu	NNP
10_1101-2021_01_05_425266	21	48	)	)	-RRB-
10_1101-2021_01_05_425266	21	49	.	.	.
10_1101-2021_01_05_425266	22	1	J.	J.	NNP
10_1101-2021_01_05_425266	22	2	Kalpathy	Kalpathy	NNP
10_1101-2021_01_05_425266	22	3	-	-	HYPH
10_1101-2021_01_05_425266	22	4	Cramer	Cramer	NNP
10_1101-2021_01_05_425266	22	5	,	,	,
10_1101-2021_01_05_425266	22	6	and	and	CC
10_1101-2021_01_05_425266	22	7	Ciprian	Ciprian	NNP
10_1101-2021_01_05_425266	22	8	Catana	Catana	NNP
10_1101-2021_01_05_425266	22	9	,	,	,
10_1101-2021_01_05_425266	22	10	with	with	IN
10_1101-2021_01_05_425266	22	11	Athinoula	Athinoula	NNP
10_1101-2021_01_05_425266	22	12	A.	A.	NNP
10_1101-2021_01_05_425266	22	13	Martinos	Martinos	NNP
10_1101-2021_01_05_425266	22	14	Center	Center	NNP
10_1101-2021_01_05_425266	22	15	for	for	IN
10_1101-2021_01_05_425266	22	16	Biomedical	Biomedical	NNP
10_1101-2021_01_05_425266	22	17	Imaging	Imaging	NNP
10_1101-2021_01_05_425266	22	18	,	,	,
10_1101-2021_01_05_425266	22	19	MGH	MGH	NNP
10_1101-2021_01_05_425266	22	20	,	,	,
10_1101-2021_01_05_425266	22	21	HMS	HMS	NNP
10_1101-2021_01_05_425266	22	22	,	,	,
10_1101-2021_01_05_425266	22	23	149	149	CD
10_1101-2021_01_05_425266	22	24	13th	13th	NN
10_1101-2021_01_05_425266	22	25	St	St	NNP
10_1101-2021_01_05_425266	22	26	,	,	,
10_1101-2021_01_05_425266	22	27	Boston	Boston	NNP
10_1101-2021_01_05_425266	22	28	,	,	,
10_1101-2021_01_05_425266	22	29	MA	MA	NNP
10_1101-2021_01_05_425266	22	30	02129	02129	CD
10_1101-2021_01_05_425266	22	31	(	(	-LRB-
10_1101-2021_01_05_425266	22	32	jkalpathy-cramer@mgh.harvard.edu	jkalpathy-cramer@mgh.harvard.edu	NNP
10_1101-2021_01_05_425266	22	33	;	;	:
10_1101-2021_01_05_425266	22	34	ccatana@mgh.harvard.edu	ccatana@mgh.harvard.edu	ADD
10_1101-2021_01_05_425266	22	35	)	)	-RRB-
10_1101-2021_01_05_425266	22	36	.	.	.
10_1101-2021_01_05_425266	23	1	I.	I.	NNP
10_1101-2021_01_05_425266	24	1	INTRODUCTION	introduction	NN
10_1101-2021_01_05_425266	24	2	ARDIAC	ARDIAC	NNP
10_1101-2021_01_05_425266	24	3	mechanics	mechanic	NNS
10_1101-2021_01_05_425266	24	4	reflects	reflect	VBZ
10_1101-2021_01_05_425266	24	5	the	the	DT
10_1101-2021_01_05_425266	24	6	precise	precise	JJ
10_1101-2021_01_05_425266	24	7	interplay	interplay	NN
10_1101-2021_01_05_425266	24	8	between	between	IN
10_1101-2021_01_05_425266	24	9	myocardial	myocardial	JJ
10_1101-2021_01_05_425266	24	10	architecture	architecture	NN
10_1101-2021_01_05_425266	24	11	and	and	CC
10_1101-2021_01_05_425266	24	12	loading	loading	NN
10_1101-2021_01_05_425266	24	13	conditions	condition	NNS
10_1101-2021_01_05_425266	24	14	that	that	WDT
10_1101-2021_01_05_425266	24	15	is	be	VBZ
10_1101-2021_01_05_425266	24	16	essential	essential	JJ
10_1101-2021_01_05_425266	24	17	for	for	IN
10_1101-2021_01_05_425266	24	18	sustaining	sustain	VBG
10_1101-2021_01_05_425266	24	19	the	the	DT
10_1101-2021_01_05_425266	24	20	blood	blood	NN
10_1101-2021_01_05_425266	24	21	pumping	pump	VBG
10_1101-2021_01_05_425266	24	22	function	function	NN
10_1101-2021_01_05_425266	24	23	of	of	IN
10_1101-2021_01_05_425266	24	24	the	the	DT
10_1101-2021_01_05_425266	24	25	heart	heart	NN
10_1101-2021_01_05_425266	24	26	.	.	.
10_1101-2021_01_05_425266	25	1	The	the	DT
10_1101-2021_01_05_425266	25	2	ejection	ejection	NN
10_1101-2021_01_05_425266	25	3	fraction	fraction	NN
10_1101-2021_01_05_425266	25	4	(	(	-LRB-
10_1101-2021_01_05_425266	25	5	EF	EF	NNP
10_1101-2021_01_05_425266	25	6	)	)	-RRB-
10_1101-2021_01_05_425266	25	7	is	be	VBZ
10_1101-2021_01_05_425266	25	8	often	often	RB
10_1101-2021_01_05_425266	25	9	used	use	VBN
10_1101-2021_01_05_425266	25	10	as	as	IN
10_1101-2021_01_05_425266	25	11	a	a	DT
10_1101-2021_01_05_425266	25	12	left-	left-	NN
10_1101-2021_01_05_425266	25	13	ventricular	ventricular	NN
10_1101-2021_01_05_425266	25	14	(	(	-LRB-
10_1101-2021_01_05_425266	25	15	LV	LV	NNP
10_1101-2021_01_05_425266	25	16	)	)	-RRB-
10_1101-2021_01_05_425266	25	17	functional	functional	JJ
10_1101-2021_01_05_425266	25	18	index	index	NN
10_1101-2021_01_05_425266	25	19	,	,	,
10_1101-2021_01_05_425266	25	20	but	but	CC
10_1101-2021_01_05_425266	25	21	its	-PRON-	PRP$
10_1101-2021_01_05_425266	25	22	value	value	NN
10_1101-2021_01_05_425266	25	23	is	be	VBZ
10_1101-2021_01_05_425266	25	24	limited	limit	VBN
10_1101-2021_01_05_425266	25	25	when	when	WRB
10_1101-2021_01_05_425266	25	26	mechanical	mechanical	JJ
10_1101-2021_01_05_425266	25	27	impairment	impairment	NN
10_1101-2021_01_05_425266	25	28	occurs	occur	VBZ
10_1101-2021_01_05_425266	25	29	without	without	IN
10_1101-2021_01_05_425266	25	30	an	an	DT
10_1101-2021_01_05_425266	25	31	EF	EF	NNP
10_1101-2021_01_05_425266	25	32	reduction	reduction	NN
10_1101-2021_01_05_425266	25	33	[	[	-LRB-
10_1101-2021_01_05_425266	25	34	1	1	CD
10_1101-2021_01_05_425266	25	35	]	]	-RRB-
10_1101-2021_01_05_425266	25	36	.	.	.
10_1101-2021_01_05_425266	26	1	Alternatively	alternatively	RB
10_1101-2021_01_05_425266	26	2	,	,	,
10_1101-2021_01_05_425266	26	3	tissue	tissue	NN
10_1101-2021_01_05_425266	26	4	tracking	tracking	NN
10_1101-2021_01_05_425266	26	5	approaches	approach	NNS
10_1101-2021_01_05_425266	26	6	for	for	IN
10_1101-2021_01_05_425266	26	7	strain	strain	NNP
10_1101-2021_01_05_425266	26	8	analysis	analysis	NN
10_1101-2021_01_05_425266	26	9	provide	provide	VBP
10_1101-2021_01_05_425266	26	10	a	a	DT
10_1101-2021_01_05_425266	26	11	more	more	RBR
10_1101-2021_01_05_425266	26	12	thorough	thorough	JJ
10_1101-2021_01_05_425266	26	13	characterization	characterization	NN
10_1101-2021_01_05_425266	26	14	through	through	IN
10_1101-2021_01_05_425266	26	15	non	non	JJ
10_1101-2021_01_05_425266	26	16	-	-	JJ
10_1101-2021_01_05_425266	26	17	invasive	invasive	JJ
10_1101-2021_01_05_425266	26	18	evaluation	evaluation	NN
10_1101-2021_01_05_425266	26	19	of	of	IN
10_1101-2021_01_05_425266	26	20	myocardial	myocardial	JJ
10_1101-2021_01_05_425266	26	21	deformation	deformation	NN
10_1101-2021_01_05_425266	26	22	from	from	IN
10_1101-2021_01_05_425266	26	23	echocardiography	echocardiography	JJ
10_1101-2021_01_05_425266	26	24	or	or	CC
10_1101-2021_01_05_425266	26	25	cinematic	cinematic	JJ
10_1101-2021_01_05_425266	26	26	magnetic	magnetic	JJ
10_1101-2021_01_05_425266	26	27	resonance	resonance	NN
10_1101-2021_01_05_425266	26	28	imaging	imaging	NN
10_1101-2021_01_05_425266	26	29	(	(	-LRB-
10_1101-2021_01_05_425266	26	30	cine	cine	NN
10_1101-2021_01_05_425266	26	31	-	-	HYPH
10_1101-2021_01_05_425266	26	32	MRI	MRI	NNP
10_1101-2021_01_05_425266	26	33	)	)	-RRB-
10_1101-2021_01_05_425266	26	34	data	datum	NNS
10_1101-2021_01_05_425266	26	35	[	[	-LRB-
10_1101-2021_01_05_425266	26	36	2	2	CD
10_1101-2021_01_05_425266	26	37	]	]	-RRB-
10_1101-2021_01_05_425266	26	38	,	,	,
10_1101-2021_01_05_425266	26	39	and	and	CC
10_1101-2021_01_05_425266	26	40	could	could	MD
10_1101-2021_01_05_425266	26	41	be	be	VB
10_1101-2021_01_05_425266	26	42	used	use	VBN
10_1101-2021_01_05_425266	26	43	to	to	TO
10_1101-2021_01_05_425266	26	44	identify	identify	VB
10_1101-2021_01_05_425266	26	45	dysfunction	dysfunction	NN
10_1101-2021_01_05_425266	26	46	before	before	IN
10_1101-2021_01_05_425266	26	47	EF	EF	NNP
10_1101-2021_01_05_425266	26	48	is	be	VBZ
10_1101-2021_01_05_425266	26	49	reduced	reduce	VBN
10_1101-2021_01_05_425266	26	50	[	[	-LRB-
10_1101-2021_01_05_425266	26	51	3	3	CD
10_1101-2021_01_05_425266	26	52	]	]	-RRB-
10_1101-2021_01_05_425266	26	53	.	.	.
10_1101-2021_01_05_425266	27	1	Unfortunately	unfortunately	RB
10_1101-2021_01_05_425266	27	2	,	,	,
10_1101-2021_01_05_425266	27	3	various	various	JJ
10_1101-2021_01_05_425266	27	4	sources	source	NNS
10_1101-2021_01_05_425266	27	5	of	of	IN
10_1101-2021_01_05_425266	27	6	discrepancies	discrepancy	NNS
10_1101-2021_01_05_425266	27	7	have	have	VBP
10_1101-2021_01_05_425266	27	8	limited	limit	VBN
10_1101-2021_01_05_425266	27	9	the	the	DT
10_1101-2021_01_05_425266	27	10	wide	wide	JJ
10_1101-2021_01_05_425266	27	11	clinical	clinical	JJ
10_1101-2021_01_05_425266	27	12	applicability	applicability	NN
10_1101-2021_01_05_425266	27	13	of	of	IN
10_1101-2021_01_05_425266	27	14	these	these	DT
10_1101-2021_01_05_425266	27	15	techniques	technique	NNS
10_1101-2021_01_05_425266	27	16	,	,	,
10_1101-2021_01_05_425266	27	17	including	include	VBG
10_1101-2021_01_05_425266	27	18	factors	factor	NNS
10_1101-2021_01_05_425266	27	19	related	relate	VBN
10_1101-2021_01_05_425266	27	20	to	to	IN
10_1101-2021_01_05_425266	27	21	imaging	imaging	NN
10_1101-2021_01_05_425266	27	22	modality	modality	NN
10_1101-2021_01_05_425266	27	23	,	,	,
10_1101-2021_01_05_425266	27	24	algorithm	algorithm	NNP
10_1101-2021_01_05_425266	27	25	,	,	,
10_1101-2021_01_05_425266	27	26	and	and	CC
10_1101-2021_01_05_425266	27	27	operator	operator	NN
10_1101-2021_01_05_425266	27	28	[	[	-LRB-
10_1101-2021_01_05_425266	27	29	4	4	CD
10_1101-2021_01_05_425266	27	30	]	]	-RRB-
10_1101-2021_01_05_425266	27	31	.	.	.
10_1101-2021_01_05_425266	28	1	More	more	RBR
10_1101-2021_01_05_425266	28	2	accurate	accurate	JJ
10_1101-2021_01_05_425266	28	3	measures	measure	NNS
10_1101-2021_01_05_425266	28	4	could	could	MD
10_1101-2021_01_05_425266	28	5	be	be	VB
10_1101-2021_01_05_425266	28	6	obtained	obtain	VBN
10_1101-2021_01_05_425266	28	7	from	from	IN
10_1101-2021_01_05_425266	28	8	tagging	tag	VBG
10_1101-2021_01_05_425266	28	9	-	-	HYPH
10_1101-2021_01_05_425266	28	10	MRI	mri	NN
10_1101-2021_01_05_425266	28	11	data	datum	NNS
10_1101-2021_01_05_425266	28	12	widely	widely	RB
10_1101-2021_01_05_425266	28	13	regarded	regard	VBN
10_1101-2021_01_05_425266	28	14	as	as	IN
10_1101-2021_01_05_425266	28	15	the	the	DT
10_1101-2021_01_05_425266	28	16	reference	reference	NN
10_1101-2021_01_05_425266	28	17	standard	standard	NN
10_1101-2021_01_05_425266	28	18	for	for	IN
10_1101-2021_01_05_425266	28	19	strain	strain	NN
10_1101-2021_01_05_425266	28	20	quantification	quantification	NN
10_1101-2021_01_05_425266	28	21	[	[	-LRB-
10_1101-2021_01_05_425266	28	22	5	5	CD
10_1101-2021_01_05_425266	28	23	]	]	-RRB-
10_1101-2021_01_05_425266	28	24	,	,	,
10_1101-2021_01_05_425266	28	25	[	[	-LRB-
10_1101-2021_01_05_425266	28	26	6	6	CD
10_1101-2021_01_05_425266	28	27	]	]	-RRB-
10_1101-2021_01_05_425266	28	28	,	,	,
10_1101-2021_01_05_425266	28	29	but	but	CC
10_1101-2021_01_05_425266	28	30	collection	collection	NN
10_1101-2021_01_05_425266	28	31	of	of	IN
10_1101-2021_01_05_425266	28	32	these	these	DT
10_1101-2021_01_05_425266	28	33	data	datum	NNS
10_1101-2021_01_05_425266	28	34	requires	require	VBZ
10_1101-2021_01_05_425266	28	35	highly	highly	RB
10_1101-2021_01_05_425266	28	36	specialized	specialized	JJ
10_1101-2021_01_05_425266	28	37	and	and	CC
10_1101-2021_01_05_425266	28	38	complex	complex	JJ
10_1101-2021_01_05_425266	28	39	sequences	sequence	NNS
10_1101-2021_01_05_425266	28	40	that	that	WDT
10_1101-2021_01_05_425266	28	41	have	have	VBP
10_1101-2021_01_05_425266	28	42	mainly	mainly	RB
10_1101-2021_01_05_425266	28	43	remained	remain	VBN
10_1101-2021_01_05_425266	28	44	research	research	NN
10_1101-2021_01_05_425266	28	45	tools	tool	NNS
10_1101-2021_01_05_425266	28	46	,	,	,
10_1101-2021_01_05_425266	28	47	whereas	whereas	IN
10_1101-2021_01_05_425266	28	48	echocardiography	echocardiography	JJ
10_1101-2021_01_05_425266	28	49	and	and	CC
10_1101-2021_01_05_425266	28	50	cine	cine	NN
10_1101-2021_01_05_425266	28	51	-	-	HYPH
10_1101-2021_01_05_425266	28	52	MRI	mri	NN
10_1101-2021_01_05_425266	28	53	data	datum	NNS
10_1101-2021_01_05_425266	28	54	are	be	VBP
10_1101-2021_01_05_425266	28	55	ubiquitously	ubiquitously	RB
10_1101-2021_01_05_425266	28	56	acquired	acquire	VBN
10_1101-2021_01_05_425266	28	57	in	in	IN
10_1101-2021_01_05_425266	28	58	clinical	clinical	JJ
10_1101-2021_01_05_425266	28	59	practice	practice	NN
10_1101-2021_01_05_425266	28	60	.	.	.
10_1101-2021_01_05_425266	29	1	Irrespective	irrespective	RB
10_1101-2021_01_05_425266	29	2	of	of	IN
10_1101-2021_01_05_425266	29	3	algorithm	algorithm	NN
10_1101-2021_01_05_425266	29	4	or	or	CC
10_1101-2021_01_05_425266	29	5	modality	modality	NN
10_1101-2021_01_05_425266	29	6	,	,	,
10_1101-2021_01_05_425266	29	7	e.g.	e.g.	RB
10_1101-2021_01_05_425266	29	8	,	,	,
10_1101-2021_01_05_425266	29	9	speckle	speckle	VB
10_1101-2021_01_05_425266	29	10	tracking	tracking	NN
10_1101-2021_01_05_425266	29	11	for	for	IN
10_1101-2021_01_05_425266	29	12	echocardiography	echocardiography	NN
10_1101-2021_01_05_425266	29	13	or	or	CC
10_1101-2021_01_05_425266	29	14	feature	feature	NN
10_1101-2021_01_05_425266	29	15	tracking	track	VBG
10_1101-2021_01_05_425266	29	16	for	for	IN
10_1101-2021_01_05_425266	29	17	cine	cine	NN
10_1101-2021_01_05_425266	29	18	-	-	HYPH
10_1101-2021_01_05_425266	29	19	MRI	MRI	NNP
10_1101-2021_01_05_425266	29	20	,	,	,
10_1101-2021_01_05_425266	29	21	the	the	DT
10_1101-2021_01_05_425266	29	22	main	main	JJ
10_1101-2021_01_05_425266	29	23	challenge	challenge	NN
10_1101-2021_01_05_425266	29	24	is	be	VBZ
10_1101-2021_01_05_425266	29	25	to	to	TO
10_1101-2021_01_05_425266	29	26	estimate	estimate	VB
10_1101-2021_01_05_425266	29	27	motion	motion	NN
10_1101-2021_01_05_425266	29	28	within	within	IN
10_1101-2021_01_05_425266	29	29	regions	region	NNS
10_1101-2021_01_05_425266	29	30	along	along	IN
10_1101-2021_01_05_425266	29	31	the	the	DT
10_1101-2021_01_05_425266	29	32	myocardial	myocardial	JJ
10_1101-2021_01_05_425266	29	33	wall	wall	NN
10_1101-2021_01_05_425266	29	34	[	[	-LRB-
10_1101-2021_01_05_425266	29	35	2	2	CD
10_1101-2021_01_05_425266	29	36	]	]	-RRB-
10_1101-2021_01_05_425266	29	37	.	.	.
10_1101-2021_01_05_425266	30	1	Operator	operator	NN
10_1101-2021_01_05_425266	30	2	-	-	HYPH
10_1101-2021_01_05_425266	30	3	related	relate	VBN
10_1101-2021_01_05_425266	30	4	discrepancies	discrepancy	NNS
10_1101-2021_01_05_425266	30	5	are	be	VBP
10_1101-2021_01_05_425266	30	6	introduced	introduce	VBN
10_1101-2021_01_05_425266	30	7	when	when	WRB
10_1101-2021_01_05_425266	30	8	the	the	DT
10_1101-2021_01_05_425266	30	9	myocardial	myocardial	JJ
10_1101-2021_01_05_425266	30	10	wall	wall	NN
10_1101-2021_01_05_425266	30	11	borders	border	NNS
10_1101-2021_01_05_425266	30	12	are	be	VBP
10_1101-2021_01_05_425266	30	13	delineated	delineate	VBN
10_1101-2021_01_05_425266	30	14	manually	manually	RB
10_1101-2021_01_05_425266	30	15	,	,	,
10_1101-2021_01_05_425266	30	16	a	a	DT
10_1101-2021_01_05_425266	30	17	time	time	NN
10_1101-2021_01_05_425266	30	18	-	-	HYPH
10_1101-2021_01_05_425266	30	19	consuming	consume	VBG
10_1101-2021_01_05_425266	30	20	process	process	NN
10_1101-2021_01_05_425266	30	21	that	that	WDT
10_1101-2021_01_05_425266	30	22	requires	require	VBZ
10_1101-2021_01_05_425266	30	23	considerable	considerable	JJ
10_1101-2021_01_05_425266	30	24	expertise	expertise	NN
10_1101-2021_01_05_425266	30	25	and	and	CC
10_1101-2021_01_05_425266	30	26	results	result	NNS
10_1101-2021_01_05_425266	30	27	in	in	IN
10_1101-2021_01_05_425266	30	28	significant	significant	JJ
10_1101-2021_01_05_425266	30	29	inter-	inter-	NN
10_1101-2021_01_05_425266	30	30	and	and	CC
10_1101-2021_01_05_425266	30	31	intra	intra	JJ
10_1101-2021_01_05_425266	30	32	-	-	JJ
10_1101-2021_01_05_425266	30	33	observer	observer	JJ
10_1101-2021_01_05_425266	30	34	variability	variability	NN
10_1101-2021_01_05_425266	30	35	[	[	-LRB-
10_1101-2021_01_05_425266	30	36	7	7	CD
10_1101-2021_01_05_425266	30	37	]	]	-RRB-
10_1101-2021_01_05_425266	30	38	,	,	,
10_1101-2021_01_05_425266	30	39	[	[	-LRB-
10_1101-2021_01_05_425266	30	40	8	8	CD
10_1101-2021_01_05_425266	30	41	]	]	-RRB-
10_1101-2021_01_05_425266	30	42	.	.	.
10_1101-2021_01_05_425266	31	1	Automatic	automatic	JJ
10_1101-2021_01_05_425266	31	2	delineation	delineation	NN
10_1101-2021_01_05_425266	31	3	approaches	approach	NNS
10_1101-2021_01_05_425266	31	4	have	have	VBP
10_1101-2021_01_05_425266	31	5	been	be	VBN
10_1101-2021_01_05_425266	31	6	implemented	implement	VBN
10_1101-2021_01_05_425266	31	7	within	within	IN
10_1101-2021_01_05_425266	31	8	computational	computational	JJ
10_1101-2021_01_05_425266	31	9	pipelines	pipeline	NNS
10_1101-2021_01_05_425266	31	10	[	[	-LRB-
10_1101-2021_01_05_425266	31	11	9	9	CD
10_1101-2021_01_05_425266	31	12	]	]	-RRB-
10_1101-2021_01_05_425266	31	13	,	,	,
10_1101-2021_01_05_425266	31	14	but	but	CC
10_1101-2021_01_05_425266	31	15	other	other	JJ
10_1101-2021_01_05_425266	31	16	factors	factor	NNS
10_1101-2021_01_05_425266	31	17	related	relate	VBN
10_1101-2021_01_05_425266	31	18	to	to	IN
10_1101-2021_01_05_425266	31	19	motion	motion	NN
10_1101-2021_01_05_425266	31	20	tracking	tracking	NN
10_1101-2021_01_05_425266	31	21	algorithms	algorithm	NNS
10_1101-2021_01_05_425266	31	22	also	also	RB
10_1101-2021_01_05_425266	31	23	influence	influence	VBP
10_1101-2021_01_05_425266	31	24	strain	strain	NN
10_1101-2021_01_05_425266	31	25	assessment	assessment	NN
10_1101-2021_01_05_425266	31	26	,	,	,
10_1101-2021_01_05_425266	31	27	including	include	VBG
10_1101-2021_01_05_425266	31	28	the	the	DT
10_1101-2021_01_05_425266	31	29	appropriate	appropriate	JJ
10_1101-2021_01_05_425266	31	30	selection	selection	NN
10_1101-2021_01_05_425266	31	31	of	of	IN
10_1101-2021_01_05_425266	31	32	tuneable	tuneable	JJ
10_1101-2021_01_05_425266	31	33	parameters	parameter	NNS
10_1101-2021_01_05_425266	31	34	whose	whose	WP$
10_1101-2021_01_05_425266	31	35	optimal	optimal	JJ
10_1101-2021_01_05_425266	31	36	values	value	NNS
10_1101-2021_01_05_425266	31	37	can	can	MD
10_1101-2021_01_05_425266	31	38	differ	differ	VB
10_1101-2021_01_05_425266	31	39	between	between	IN
10_1101-2021_01_05_425266	31	40	C	C	NNP
10_1101-2021_01_05_425266	31	41	.CC	.CC	:
10_1101-2021_01_05_425266	31	42	-	-	HYPH
10_1101-2021_01_05_425266	31	43	BY	by	IN
10_1101-2021_01_05_425266	31	44	-	-	HYPH
10_1101-2021_01_05_425266	31	45	NC	NC	NNP
10_1101-2021_01_05_425266	31	46	-	-	HYPH
10_1101-2021_01_05_425266	31	47	ND	ND	NNP
10_1101-2021_01_05_425266	31	48	4.0	4.0	CD
10_1101-2021_01_05_425266	31	49	International	International	NNP
10_1101-2021_01_05_425266	31	50	licenseavailable	licenseavailable	NN
10_1101-2021_01_05_425266	31	51	under	under	IN
10_1101-2021_01_05_425266	31	52	a	a	DT
10_1101-2021_01_05_425266	31	53	(	(	-LRB-
10_1101-2021_01_05_425266	31	54	which	which	WDT
10_1101-2021_01_05_425266	31	55	was	be	VBD
10_1101-2021_01_05_425266	31	56	not	not	RB
10_1101-2021_01_05_425266	31	57	certified	certify	VBN
10_1101-2021_01_05_425266	31	58	by	by	IN
10_1101-2021_01_05_425266	31	59	peer	peer	NN
10_1101-2021_01_05_425266	31	60	review	review	NN
10_1101-2021_01_05_425266	31	61	)	)	-RRB-
10_1101-2021_01_05_425266	31	62	is	be	VBZ
10_1101-2021_01_05_425266	31	63	the	the	DT
10_1101-2021_01_05_425266	31	64	author	author	NN
10_1101-2021_01_05_425266	31	65	/	/	SYM
10_1101-2021_01_05_425266	31	66	funder	funder	NN
10_1101-2021_01_05_425266	31	67	,	,	,
10_1101-2021_01_05_425266	31	68	who	who	WP
10_1101-2021_01_05_425266	31	69	has	have	VBZ
10_1101-2021_01_05_425266	31	70	granted	grant	VBN
10_1101-2021_01_05_425266	31	71	bioRxiv	biorxiv	IN
10_1101-2021_01_05_425266	31	72	a	a	DT
10_1101-2021_01_05_425266	31	73	license	license	NN
10_1101-2021_01_05_425266	31	74	to	to	TO
10_1101-2021_01_05_425266	31	75	display	display	VB
10_1101-2021_01_05_425266	31	76	the	the	DT
10_1101-2021_01_05_425266	31	77	preprint	preprint	NN
10_1101-2021_01_05_425266	31	78	in	in	IN
10_1101-2021_01_05_425266	31	79	perpetuity	perpetuity	NN
10_1101-2021_01_05_425266	31	80	.	.	.
10_1101-2021_01_05_425266	32	1	It	-PRON-	PRP
10_1101-2021_01_05_425266	32	2	is	be	VBZ
10_1101-2021_01_05_425266	32	3	made	make	VBN
10_1101-2021_01_05_425266	32	4	The	the	DT
10_1101-2021_01_05_425266	32	5	copyright	copyright	NN
10_1101-2021_01_05_425266	32	6	holder	holder	NN
10_1101-2021_01_05_425266	32	7	for	for	IN
10_1101-2021_01_05_425266	32	8	this	this	DT
10_1101-2021_01_05_425266	32	9	preprintthis	preprintthis	NN
10_1101-2021_01_05_425266	32	10	version	version	NN
10_1101-2021_01_05_425266	32	11	posted	post	VBD
10_1101-2021_01_05_425266	32	12	January	January	NNP
10_1101-2021_01_05_425266	32	13	7	7	CD
10_1101-2021_01_05_425266	32	14	,	,	,
10_1101-2021_01_05_425266	32	15	2021	2021	CD
10_1101-2021_01_05_425266	32	16	.	.	.
10_1101-2021_01_05_425266	32	17	;	;	:
10_1101-2021_01_05_425266	32	18	https://doi.org/10.1101/2021.01.05.425266doi	https://doi.org/10.1101/2021.01.05.425266doi	NNP
10_1101-2021_01_05_425266	32	19	:	:	:
10_1101-2021_01_05_425266	32	20	bioRxiv	biorxiv	IN
10_1101-2021_01_05_425266	32	21	preprint	preprint	NN
10_1101-2021_01_05_425266	32	22	https://doi.org/10.1101/2021.01.05.425266	https://doi.org/10.1101/2021.01.05.425266	NN
10_1101-2021_01_05_425266	32	23	http://creativecommons.org/licenses/by-nc-nd/4.0/	http://creativecommons.org/licenses/by-nc-nd/4.0/	JJ
10_1101-2021_01_05_425266	32	24	patient	patient	NN
10_1101-2021_01_05_425266	32	25	cohorts	cohort	NNS
10_1101-2021_01_05_425266	32	26	and	and	CC
10_1101-2021_01_05_425266	32	27	acquisition	acquisition	NN
10_1101-2021_01_05_425266	32	28	protocols	protocol	NNS
10_1101-2021_01_05_425266	32	29	(	(	-LRB-
10_1101-2021_01_05_425266	32	30	e.g.	e.g.	RB
10_1101-2021_01_05_425266	32	31	,	,	,
10_1101-2021_01_05_425266	32	32	the	the	DT
10_1101-2021_01_05_425266	32	33	size	size	NN
10_1101-2021_01_05_425266	32	34	of	of	IN
10_1101-2021_01_05_425266	32	35	the	the	DT
10_1101-2021_01_05_425266	32	36	search	search	NN
10_1101-2021_01_05_425266	32	37	region	region	NN
10_1101-2021_01_05_425266	32	38	in	in	IN
10_1101-2021_01_05_425266	32	39	block	block	NN
10_1101-2021_01_05_425266	32	40	-	-	HYPH
10_1101-2021_01_05_425266	32	41	matching	matching	NN
10_1101-2021_01_05_425266	32	42	methods	method	NNS
10_1101-2021_01_05_425266	32	43	[	[	-LRB-
10_1101-2021_01_05_425266	32	44	10	10	CD
10_1101-2021_01_05_425266	32	45	]	]	-RRB-
10_1101-2021_01_05_425266	32	46	)	)	-RRB-
10_1101-2021_01_05_425266	32	47	.	.	.
10_1101-2021_01_05_425266	33	1	Further	further	RB
10_1101-2021_01_05_425266	33	2	,	,	,
10_1101-2021_01_05_425266	33	3	these	these	DT
10_1101-2021_01_05_425266	33	4	algorithms	algorithm	NNS
10_1101-2021_01_05_425266	33	5	often	often	RB
10_1101-2021_01_05_425266	33	6	make	make	VBP
10_1101-2021_01_05_425266	33	7	assumptions	assumption	NNS
10_1101-2021_01_05_425266	33	8	about	about	IN
10_1101-2021_01_05_425266	33	9	the	the	DT
10_1101-2021_01_05_425266	33	10	properties	property	NNS
10_1101-2021_01_05_425266	33	11	of	of	IN
10_1101-2021_01_05_425266	33	12	the	the	DT
10_1101-2021_01_05_425266	33	13	myocardial	myocardial	JJ
10_1101-2021_01_05_425266	33	14	tissue	tissue	NN
10_1101-2021_01_05_425266	33	15	(	(	-LRB-
10_1101-2021_01_05_425266	33	16	e.g.	e.g.	RB
10_1101-2021_01_05_425266	33	17	,	,	,
10_1101-2021_01_05_425266	33	18	incompressible	incompressible	JJ
10_1101-2021_01_05_425266	33	19	and	and	CC
10_1101-2021_01_05_425266	33	20	elastic	elastic	JJ
10_1101-2021_01_05_425266	33	21	[	[	-LRB-
10_1101-2021_01_05_425266	33	22	11	11	CD
10_1101-2021_01_05_425266	33	23	]	]	-RRB-
10_1101-2021_01_05_425266	33	24	,	,	,
10_1101-2021_01_05_425266	33	25	[	[	-LRB-
10_1101-2021_01_05_425266	33	26	12	12	CD
10_1101-2021_01_05_425266	33	27	]	]	-RRB-
10_1101-2021_01_05_425266	33	28	)	)	-RRB-
10_1101-2021_01_05_425266	33	29	,	,	,
10_1101-2021_01_05_425266	33	30	or	or	CC
10_1101-2021_01_05_425266	33	31	use	use	VB
10_1101-2021_01_05_425266	33	32	registration	registration	NN
10_1101-2021_01_05_425266	33	33	methods	method	NNS
10_1101-2021_01_05_425266	33	34	to	to	TO
10_1101-2021_01_05_425266	33	35	drive	drive	VB
10_1101-2021_01_05_425266	33	36	the	the	DT
10_1101-2021_01_05_425266	33	37	solution	solution	NN
10_1101-2021_01_05_425266	33	38	towards	towards	IN
10_1101-2021_01_05_425266	33	39	an	an	DT
10_1101-2021_01_05_425266	33	40	expected	expect	VBN
10_1101-2021_01_05_425266	33	41	geometry	geometry	NN
10_1101-2021_01_05_425266	33	42	.	.	.
10_1101-2021_01_05_425266	34	1	However	however	RB
10_1101-2021_01_05_425266	34	2	,	,	,
10_1101-2021_01_05_425266	34	3	recent	recent	JJ
10_1101-2021_01_05_425266	34	4	evidence	evidence	NN
10_1101-2021_01_05_425266	34	5	has	have	VBZ
10_1101-2021_01_05_425266	34	6	shown	show	VBN
10_1101-2021_01_05_425266	34	7	the	the	DT
10_1101-2021_01_05_425266	34	8	validity	validity	NN
10_1101-2021_01_05_425266	34	9	of	of	IN
10_1101-2021_01_05_425266	34	10	these	these	DT
10_1101-2021_01_05_425266	34	11	assumptions	assumption	NNS
10_1101-2021_01_05_425266	34	12	varies	vary	VBZ
10_1101-2021_01_05_425266	34	13	between	between	IN
10_1101-2021_01_05_425266	34	14	healthy	healthy	JJ
10_1101-2021_01_05_425266	34	15	and	and	CC
10_1101-2021_01_05_425266	34	16	diseased	diseased	JJ
10_1101-2021_01_05_425266	34	17	myocardium	myocardium	NN
10_1101-2021_01_05_425266	34	18	[	[	-LRB-
10_1101-2021_01_05_425266	34	19	13	13	CD
10_1101-2021_01_05_425266	34	20	]	]	-RRB-
10_1101-2021_01_05_425266	34	21	,	,	,
10_1101-2021_01_05_425266	34	22	[	[	-LRB-
10_1101-2021_01_05_425266	34	23	14	14	CD
10_1101-2021_01_05_425266	34	24	]	]	-RRB-
10_1101-2021_01_05_425266	34	25	,	,	,
10_1101-2021_01_05_425266	34	26	suggesting	suggest	VBG
10_1101-2021_01_05_425266	34	27	these	these	DT
10_1101-2021_01_05_425266	34	28	approaches	approach	NNS
10_1101-2021_01_05_425266	34	29	may	may	MD
10_1101-2021_01_05_425266	34	30	not	not	RB
10_1101-2021_01_05_425266	34	31	accurately	accurately	RB
10_1101-2021_01_05_425266	34	32	reflect	reflect	VB
10_1101-2021_01_05_425266	34	33	the	the	DT
10_1101-2021_01_05_425266	34	34	underlying	underlie	VBG
10_1101-2021_01_05_425266	34	35	biomechanical	biomechanical	JJ
10_1101-2021_01_05_425266	34	36	motion	motion	NN
10_1101-2021_01_05_425266	34	37	[	[	-LRB-
10_1101-2021_01_05_425266	34	38	14	14	CD
10_1101-2021_01_05_425266	34	39	]	]	-RRB-
10_1101-2021_01_05_425266	34	40	.	.	.
10_1101-2021_01_05_425266	35	1	Lastly	lastly	RB
10_1101-2021_01_05_425266	35	2	,	,	,
10_1101-2021_01_05_425266	35	3	modality	modality	NN
10_1101-2021_01_05_425266	35	4	-	-	HYPH
10_1101-2021_01_05_425266	35	5	related	relate	VBN
10_1101-2021_01_05_425266	35	6	image	image	NN
10_1101-2021_01_05_425266	35	7	quality	quality	NN
10_1101-2021_01_05_425266	35	8	could	could	MD
10_1101-2021_01_05_425266	35	9	complicate	complicate	VB
10_1101-2021_01_05_425266	35	10	interpretation	interpretation	NN
10_1101-2021_01_05_425266	35	11	of	of	IN
10_1101-2021_01_05_425266	35	12	abnormal	abnormal	JJ
10_1101-2021_01_05_425266	35	13	strain	strain	NN
10_1101-2021_01_05_425266	35	14	values	value	NNS
10_1101-2021_01_05_425266	35	15	since	since	IN
10_1101-2021_01_05_425266	35	16	these	these	DT
10_1101-2021_01_05_425266	35	17	could	could	MD
10_1101-2021_01_05_425266	35	18	reflect	reflect	VB
10_1101-2021_01_05_425266	35	19	either	either	CC
10_1101-2021_01_05_425266	35	20	real	real	JJ
10_1101-2021_01_05_425266	35	21	dysfunction	dysfunction	NN
10_1101-2021_01_05_425266	35	22	or	or	CC
10_1101-2021_01_05_425266	35	23	artifact	artifact	RB
10_1101-2021_01_05_425266	35	24	-	-	HYPH
10_1101-2021_01_05_425266	35	25	related	relate	VBN
10_1101-2021_01_05_425266	35	26	inaccuracies	inaccuracy	NNS
10_1101-2021_01_05_425266	35	27	,	,	,
10_1101-2021_01_05_425266	35	28	leading	lead	VBG
10_1101-2021_01_05_425266	35	29	to	to	IN
10_1101-2021_01_05_425266	35	30	some	some	DT
10_1101-2021_01_05_425266	35	31	degree	degree	NN
10_1101-2021_01_05_425266	35	32	of	of	IN
10_1101-2021_01_05_425266	35	33	subjectivity	subjectivity	NN
10_1101-2021_01_05_425266	35	34	or	or	CC
10_1101-2021_01_05_425266	35	35	non	non	JJ
10_1101-2021_01_05_425266	35	36	-	-	JJ
10_1101-2021_01_05_425266	35	37	conclusive	conclusive	JJ
10_1101-2021_01_05_425266	35	38	results	result	NNS
10_1101-2021_01_05_425266	35	39	[	[	-LRB-
10_1101-2021_01_05_425266	35	40	3	3	CD
10_1101-2021_01_05_425266	35	41	]	]	-RRB-
10_1101-2021_01_05_425266	35	42	.	.	.
10_1101-2021_01_05_425266	36	1	Deep	deep	JJ
10_1101-2021_01_05_425266	36	2	Learning	Learning	NNP
10_1101-2021_01_05_425266	36	3	(	(	-LRB-
10_1101-2021_01_05_425266	36	4	DL	DL	NNP
10_1101-2021_01_05_425266	36	5	)	)	-RRB-
10_1101-2021_01_05_425266	36	6	methods	method	NNS
10_1101-2021_01_05_425266	36	7	have	have	VBP
10_1101-2021_01_05_425266	36	8	demonstrated	demonstrate	VBN
10_1101-2021_01_05_425266	36	9	the	the	DT
10_1101-2021_01_05_425266	36	10	advantage	advantage	NN
10_1101-2021_01_05_425266	36	11	of	of	IN
10_1101-2021_01_05_425266	36	12	allowing	allow	VBG
10_1101-2021_01_05_425266	36	13	real	real	JJ
10_1101-2021_01_05_425266	36	14	-	-	HYPH
10_1101-2021_01_05_425266	36	15	world	world	NN
10_1101-2021_01_05_425266	36	16	data	data	NN
10_1101-2021_01_05_425266	36	17	guide	guide	NN
10_1101-2021_01_05_425266	36	18	learning	learning	NN
10_1101-2021_01_05_425266	36	19	of	of	IN
10_1101-2021_01_05_425266	36	20	abstract	abstract	JJ
10_1101-2021_01_05_425266	36	21	representations	representation	NNS
10_1101-2021_01_05_425266	36	22	that	that	WDT
10_1101-2021_01_05_425266	36	23	can	can	MD
10_1101-2021_01_05_425266	36	24	be	be	VB
10_1101-2021_01_05_425266	36	25	used	use	VBN
10_1101-2021_01_05_425266	36	26	to	to	TO
10_1101-2021_01_05_425266	36	27	accomplish	accomplish	VB
10_1101-2021_01_05_425266	36	28	pre	pre	JJ
10_1101-2021_01_05_425266	36	29	-	-	JJ
10_1101-2021_01_05_425266	36	30	specified	specified	JJ
10_1101-2021_01_05_425266	36	31	tasks	task	NNS
10_1101-2021_01_05_425266	36	32	,	,	,
10_1101-2021_01_05_425266	36	33	and	and	CC
10_1101-2021_01_05_425266	36	34	have	have	VBP
10_1101-2021_01_05_425266	36	35	been	be	VBN
10_1101-2021_01_05_425266	36	36	shown	show	VBN
10_1101-2021_01_05_425266	36	37	to	to	TO
10_1101-2021_01_05_425266	36	38	be	be	VB
10_1101-2021_01_05_425266	36	39	more	more	RBR
10_1101-2021_01_05_425266	36	40	robust	robust	JJ
10_1101-2021_01_05_425266	36	41	to	to	IN
10_1101-2021_01_05_425266	36	42	image	image	NN
10_1101-2021_01_05_425266	36	43	artifacts	artifact	NNS
10_1101-2021_01_05_425266	36	44	than	than	IN
10_1101-2021_01_05_425266	36	45	non	non	JJ
10_1101-2021_01_05_425266	36	46	-	-	JJ
10_1101-2021_01_05_425266	36	47	learning	learning	JJ
10_1101-2021_01_05_425266	36	48	techniques	technique	NNS
10_1101-2021_01_05_425266	36	49	for	for	IN
10_1101-2021_01_05_425266	36	50	some	some	DT
10_1101-2021_01_05_425266	36	51	applications	application	NNS
10_1101-2021_01_05_425266	36	52	[	[	-LRB-
10_1101-2021_01_05_425266	36	53	15	15	CD
10_1101-2021_01_05_425266	36	54	]	]	-RRB-
10_1101-2021_01_05_425266	36	55	,	,	,
10_1101-2021_01_05_425266	36	56	[	[	-LRB-
10_1101-2021_01_05_425266	36	57	16	16	CD
10_1101-2021_01_05_425266	36	58	]	]	-RRB-
10_1101-2021_01_05_425266	36	59	.	.	.
10_1101-2021_01_05_425266	37	1	DL	DL	NNP
10_1101-2021_01_05_425266	37	2	segmentation	segmentation	NN
10_1101-2021_01_05_425266	37	3	methods	method	NNS
10_1101-2021_01_05_425266	37	4	have	have	VBP
10_1101-2021_01_05_425266	37	5	been	be	VBN
10_1101-2021_01_05_425266	37	6	proposed	propose	VBN
10_1101-2021_01_05_425266	37	7	[	[	-LRB-
10_1101-2021_01_05_425266	37	8	17]–[20	17]–[20	CD
10_1101-2021_01_05_425266	37	9	]	]	-RRB-
10_1101-2021_01_05_425266	37	10	and	and	CC
10_1101-2021_01_05_425266	37	11	implemented	implement	VBN
10_1101-2021_01_05_425266	37	12	within	within	IN
10_1101-2021_01_05_425266	37	13	strain	strain	VB
10_1101-2021_01_05_425266	37	14	computational	computational	JJ
10_1101-2021_01_05_425266	37	15	pipelines	pipeline	NNS
10_1101-2021_01_05_425266	37	16	[	[	-LRB-
10_1101-2021_01_05_425266	37	17	21	21	CD
10_1101-2021_01_05_425266	37	18	]	]	-RRB-
10_1101-2021_01_05_425266	37	19	,	,	,
10_1101-2021_01_05_425266	37	20	[	[	-LRB-
10_1101-2021_01_05_425266	37	21	22	22	CD
10_1101-2021_01_05_425266	37	22	]	]	-RRB-
10_1101-2021_01_05_425266	37	23	,	,	,
10_1101-2021_01_05_425266	37	24	and	and	CC
10_1101-2021_01_05_425266	37	25	recent	recent	JJ
10_1101-2021_01_05_425266	37	26	studies	study	NNS
10_1101-2021_01_05_425266	37	27	have	have	VBP
10_1101-2021_01_05_425266	37	28	shown	show	VBN
10_1101-2021_01_05_425266	37	29	that	that	IN
10_1101-2021_01_05_425266	37	30	cardiac	cardiac	JJ
10_1101-2021_01_05_425266	37	31	motion	motion	NN
10_1101-2021_01_05_425266	37	32	estimation	estimation	NN
10_1101-2021_01_05_425266	37	33	can	can	MD
10_1101-2021_01_05_425266	37	34	also	also	RB
10_1101-2021_01_05_425266	37	35	be	be	VB
10_1101-2021_01_05_425266	37	36	recast	recast	VBN
10_1101-2021_01_05_425266	37	37	as	as	IN
10_1101-2021_01_05_425266	37	38	a	a	DT
10_1101-2021_01_05_425266	37	39	learnable	learnable	JJ
10_1101-2021_01_05_425266	37	40	problem	problem	NN
10_1101-2021_01_05_425266	37	41	[	[	-LRB-
10_1101-2021_01_05_425266	37	42	23]–[26	23]–[26	CD
10_1101-2021_01_05_425266	37	43	]	]	-RRB-
10_1101-2021_01_05_425266	37	44	.	.	.
10_1101-2021_01_05_425266	38	1	These	these	DT
10_1101-2021_01_05_425266	38	2	methods	method	NNS
10_1101-2021_01_05_425266	38	3	usually	usually	RB
10_1101-2021_01_05_425266	38	4	consist	consist	VBP
10_1101-2021_01_05_425266	38	5	of	of	IN
10_1101-2021_01_05_425266	38	6	an	an	DT
10_1101-2021_01_05_425266	38	7	intensity	intensity	NN
10_1101-2021_01_05_425266	38	8	-	-	HYPH
10_1101-2021_01_05_425266	38	9	based	base	VBN
10_1101-2021_01_05_425266	38	10	loss	loss	NN
10_1101-2021_01_05_425266	38	11	function	function	NN
10_1101-2021_01_05_425266	38	12	and	and	CC
10_1101-2021_01_05_425266	38	13	a	a	DT
10_1101-2021_01_05_425266	38	14	constrain	constrain	NN
10_1101-2021_01_05_425266	38	15	term	term	NN
10_1101-2021_01_05_425266	38	16	[	[	-LRB-
10_1101-2021_01_05_425266	38	17	23	23	CD
10_1101-2021_01_05_425266	38	18	]	]	-RRB-
10_1101-2021_01_05_425266	38	19	,	,	,
10_1101-2021_01_05_425266	38	20	[	[	-LRB-
10_1101-2021_01_05_425266	38	21	27	27	CD
10_1101-2021_01_05_425266	38	22	]	]	-RRB-
10_1101-2021_01_05_425266	38	23	,	,	,
10_1101-2021_01_05_425266	38	24	the	the	DT
10_1101-2021_01_05_425266	38	25	latter	latter	JJ
10_1101-2021_01_05_425266	38	26	using	use	VBG
10_1101-2021_01_05_425266	38	27	common	common	JJ
10_1101-2021_01_05_425266	38	28	machine	machine	NN
10_1101-2021_01_05_425266	38	29	learning	learning	NN
10_1101-2021_01_05_425266	38	30	techniques	technique	NNS
10_1101-2021_01_05_425266	38	31	(	(	-LRB-
10_1101-2021_01_05_425266	38	32	e.g.	e.g.	RB
10_1101-2021_01_05_425266	38	33	,	,	,
10_1101-2021_01_05_425266	38	34	L2	l2	JJ
10_1101-2021_01_05_425266	38	35	regularization	regularization	NN
10_1101-2021_01_05_425266	38	36	of	of	IN
10_1101-2021_01_05_425266	38	37	all	all	DT
10_1101-2021_01_05_425266	38	38	learnable	learnable	JJ
10_1101-2021_01_05_425266	38	39	parameters	parameter	NNS
10_1101-2021_01_05_425266	38	40	[	[	-LRB-
10_1101-2021_01_05_425266	38	41	24	24	CD
10_1101-2021_01_05_425266	38	42	]	]	-RRB-
10_1101-2021_01_05_425266	38	43	)	)	-RRB-
10_1101-2021_01_05_425266	38	44	or	or	CC
10_1101-2021_01_05_425266	38	45	direct	direct	JJ
10_1101-2021_01_05_425266	38	46	regularization	regularization	NN
10_1101-2021_01_05_425266	38	47	of	of	IN
10_1101-2021_01_05_425266	38	48	the	the	DT
10_1101-2021_01_05_425266	38	49	motion	motion	NN
10_1101-2021_01_05_425266	38	50	estimates	estimate	NNS
10_1101-2021_01_05_425266	38	51	(	(	-LRB-
10_1101-2021_01_05_425266	38	52	e.g.	e.g.	RB
10_1101-2021_01_05_425266	38	53	,	,	,
10_1101-2021_01_05_425266	38	54	smoothness	smoothness	JJ
10_1101-2021_01_05_425266	38	55	penalty	penalty	NN
10_1101-2021_01_05_425266	38	56	[	[	-LRB-
10_1101-2021_01_05_425266	38	57	23	23	CD
10_1101-2021_01_05_425266	38	58	]	]	-RRB-
10_1101-2021_01_05_425266	38	59	,	,	,
10_1101-2021_01_05_425266	38	60	anatomy	anatomy	NN
10_1101-2021_01_05_425266	38	61	-	-	HYPH
10_1101-2021_01_05_425266	38	62	aware	aware	NNP
10_1101-2021_01_05_425266	38	63	[	[	-LRB-
10_1101-2021_01_05_425266	38	64	26	26	CD
10_1101-2021_01_05_425266	38	65	]	]	-RRB-
10_1101-2021_01_05_425266	38	66	)	)	-RRB-
10_1101-2021_01_05_425266	38	67	.	.	.
10_1101-2021_01_05_425266	39	1	However	however	RB
10_1101-2021_01_05_425266	39	2	,	,	,
10_1101-2021_01_05_425266	39	3	because	because	IN
10_1101-2021_01_05_425266	39	4	ground	ground	NN
10_1101-2021_01_05_425266	39	5	-	-	HYPH
10_1101-2021_01_05_425266	39	6	truth	truth	NN
10_1101-2021_01_05_425266	39	7	cardiac	cardiac	JJ
10_1101-2021_01_05_425266	39	8	motion	motion	NN
10_1101-2021_01_05_425266	39	9	is	be	VBZ
10_1101-2021_01_05_425266	39	10	challenging	challenge	VBG
10_1101-2021_01_05_425266	39	11	to	to	TO
10_1101-2021_01_05_425266	39	12	acquire	acquire	VB
10_1101-2021_01_05_425266	39	13	,	,	,
10_1101-2021_01_05_425266	39	14	whether	whether	IN
10_1101-2021_01_05_425266	39	15	these	these	DT
10_1101-2021_01_05_425266	39	16	constrains	constrain	NNS
10_1101-2021_01_05_425266	39	17	improve	improve	VBP
10_1101-2021_01_05_425266	39	18	the	the	DT
10_1101-2021_01_05_425266	39	19	accuracy	accuracy	NN
10_1101-2021_01_05_425266	39	20	of	of	IN
10_1101-2021_01_05_425266	39	21	motion	motion	NN
10_1101-2021_01_05_425266	39	22	or	or	CC
10_1101-2021_01_05_425266	39	23	strain	strain	NN
10_1101-2021_01_05_425266	39	24	estimates	estimate	NNS
10_1101-2021_01_05_425266	39	25	is	be	VBZ
10_1101-2021_01_05_425266	39	26	not	not	RB
10_1101-2021_01_05_425266	39	27	yet	yet	RB
10_1101-2021_01_05_425266	39	28	clear	clear	JJ
10_1101-2021_01_05_425266	39	29	.	.	.
10_1101-2021_01_05_425266	40	1	Further	further	RB
10_1101-2021_01_05_425266	40	2	,	,	,
10_1101-2021_01_05_425266	40	3	the	the	DT
10_1101-2021_01_05_425266	40	4	added	add	VBN
10_1101-2021_01_05_425266	40	5	-	-	HYPH
10_1101-2021_01_05_425266	40	6	value	value	NN
10_1101-2021_01_05_425266	40	7	of	of	IN
10_1101-2021_01_05_425266	40	8	DL-	DL-	NNP
10_1101-2021_01_05_425266	40	9	based	base	VBN
10_1101-2021_01_05_425266	40	10	regional	regional	JJ
10_1101-2021_01_05_425266	40	11	strain	strain	NN
10_1101-2021_01_05_425266	40	12	estimation	estimation	NN
10_1101-2021_01_05_425266	40	13	has	have	VBZ
10_1101-2021_01_05_425266	40	14	not	not	RB
10_1101-2021_01_05_425266	40	15	been	be	VBN
10_1101-2021_01_05_425266	40	16	demonstrated	demonstrate	VBN
10_1101-2021_01_05_425266	40	17	.	.	.
10_1101-2021_01_05_425266	41	1	We	-PRON-	PRP
10_1101-2021_01_05_425266	41	2	have	have	VBP
10_1101-2021_01_05_425266	41	3	recently	recently	RB
10_1101-2021_01_05_425266	41	4	developed	develop	VBN
10_1101-2021_01_05_425266	41	5	a	a	DT
10_1101-2021_01_05_425266	41	6	learning	learning	NN
10_1101-2021_01_05_425266	41	7	method	method	NN
10_1101-2021_01_05_425266	41	8	for	for	IN
10_1101-2021_01_05_425266	41	9	cardiac	cardiac	JJ
10_1101-2021_01_05_425266	41	10	motion	motion	NN
10_1101-2021_01_05_425266	41	11	estimation	estimation	NN
10_1101-2021_01_05_425266	41	12	that	that	WDT
10_1101-2021_01_05_425266	41	13	produces	produce	VBZ
10_1101-2021_01_05_425266	41	14	more	more	RBR
10_1101-2021_01_05_425266	41	15	accurate	accurate	JJ
10_1101-2021_01_05_425266	41	16	estimates	estimate	NNS
10_1101-2021_01_05_425266	41	17	than	than	IN
10_1101-2021_01_05_425266	41	18	various	various	JJ
10_1101-2021_01_05_425266	41	19	techniques	technique	NNS
10_1101-2021_01_05_425266	41	20	,	,	,
10_1101-2021_01_05_425266	41	21	including	include	VBG
10_1101-2021_01_05_425266	41	22	B	b	NN
10_1101-2021_01_05_425266	41	23	-	-	HYPH
10_1101-2021_01_05_425266	41	24	spline	spline	NNP
10_1101-2021_01_05_425266	41	25	,	,	,
10_1101-2021_01_05_425266	41	26	diffeomorphic	diffeomorphic	JJ
10_1101-2021_01_05_425266	41	27	,	,	,
10_1101-2021_01_05_425266	41	28	and	and	CC
10_1101-2021_01_05_425266	41	29	mass	mass	NN
10_1101-2021_01_05_425266	41	30	-	-	HYPH
10_1101-2021_01_05_425266	41	31	preserving	preserve	VBG
10_1101-2021_01_05_425266	41	32	algorithms	algorithm	NNS
10_1101-2021_01_05_425266	41	33	[	[	-LRB-
10_1101-2021_01_05_425266	41	34	28	28	CD
10_1101-2021_01_05_425266	41	35	]	]	-RRB-
10_1101-2021_01_05_425266	41	36	,	,	,
10_1101-2021_01_05_425266	41	37	and	and	CC
10_1101-2021_01_05_425266	41	38	showed	show	VBD
10_1101-2021_01_05_425266	41	39	these	these	DT
10_1101-2021_01_05_425266	41	40	estimates	estimate	NNS
10_1101-2021_01_05_425266	41	41	could	could	MD
10_1101-2021_01_05_425266	41	42	potentially	potentially	RB
10_1101-2021_01_05_425266	41	43	be	be	VB
10_1101-2021_01_05_425266	41	44	used	use	VBN
10_1101-2021_01_05_425266	41	45	to	to	TO
10_1101-2021_01_05_425266	41	46	detect	detect	VB
10_1101-2021_01_05_425266	41	47	regional	regional	JJ
10_1101-2021_01_05_425266	41	48	dysfunction	dysfunction	NN
10_1101-2021_01_05_425266	41	49	.	.	.
10_1101-2021_01_05_425266	42	1	Thus	thus	RB
10_1101-2021_01_05_425266	42	2	,	,	,
10_1101-2021_01_05_425266	42	3	incorporating	incorporate	VBG
10_1101-2021_01_05_425266	42	4	our	-PRON-	PRP$
10_1101-2021_01_05_425266	42	5	method	method	NN
10_1101-2021_01_05_425266	42	6	within	within	IN
10_1101-2021_01_05_425266	42	7	a	a	DT
10_1101-2021_01_05_425266	42	8	strain	strain	NN
10_1101-2021_01_05_425266	42	9	analysis	analysis	NN
10_1101-2021_01_05_425266	42	10	framework	framework	NN
10_1101-2021_01_05_425266	42	11	could	could	MD
10_1101-2021_01_05_425266	42	12	potentially	potentially	RB
10_1101-2021_01_05_425266	42	13	enable	enable	VB
10_1101-2021_01_05_425266	42	14	accurate	accurate	JJ
10_1101-2021_01_05_425266	42	15	,	,	,
10_1101-2021_01_05_425266	42	16	user	user	NN
10_1101-2021_01_05_425266	42	17	-	-	HYPH
10_1101-2021_01_05_425266	42	18	independent	independent	JJ
10_1101-2021_01_05_425266	42	19	,	,	,
10_1101-2021_01_05_425266	42	20	and	and	CC
10_1101-2021_01_05_425266	42	21	quantitative	quantitative	JJ
10_1101-2021_01_05_425266	42	22	characterization	characterization	NN
10_1101-2021_01_05_425266	42	23	of	of	IN
10_1101-2021_01_05_425266	42	24	cardiac	cardiac	JJ
10_1101-2021_01_05_425266	42	25	mechanics	mechanic	NNS
10_1101-2021_01_05_425266	42	26	at	at	IN
10_1101-2021_01_05_425266	42	27	a	a	DT
10_1101-2021_01_05_425266	42	28	both	both	CC
10_1101-2021_01_05_425266	42	29	global	global	JJ
10_1101-2021_01_05_425266	42	30	and	and	CC
10_1101-2021_01_05_425266	42	31	regional	regional	JJ
10_1101-2021_01_05_425266	42	32	level	level	NN
10_1101-2021_01_05_425266	42	33	.	.	.
10_1101-2021_01_05_425266	43	1	Once	once	RB
10_1101-2021_01_05_425266	43	2	trained	train	VBN
10_1101-2021_01_05_425266	43	3	,	,	,
10_1101-2021_01_05_425266	43	4	such	such	JJ
10_1101-2021_01_05_425266	43	5	method	method	NN
10_1101-2021_01_05_425266	43	6	would	would	MD
10_1101-2021_01_05_425266	43	7	not	not	RB
10_1101-2021_01_05_425266	43	8	necessitate	necessitate	VB
10_1101-2021_01_05_425266	43	9	further	further	JJ
10_1101-2021_01_05_425266	43	10	parameter	parameter	NN
10_1101-2021_01_05_425266	43	11	tunning	tunning	NN
10_1101-2021_01_05_425266	43	12	or	or	CC
10_1101-2021_01_05_425266	43	13	optimization	optimization	NN
10_1101-2021_01_05_425266	43	14	,	,	,
10_1101-2021_01_05_425266	43	15	which	which	WDT
10_1101-2021_01_05_425266	43	16	is	be	VBZ
10_1101-2021_01_05_425266	43	17	time	time	NN
10_1101-2021_01_05_425266	43	18	-	-	HYPH
10_1101-2021_01_05_425266	43	19	consuming	consume	VBG
10_1101-2021_01_05_425266	43	20	for	for	IN
10_1101-2021_01_05_425266	43	21	larger	large	JJR
10_1101-2021_01_05_425266	43	22	datasets	dataset	NNS
10_1101-2021_01_05_425266	43	23	and	and	CC
10_1101-2021_01_05_425266	43	24	daily	daily	JJ
10_1101-2021_01_05_425266	43	25	clinical	clinical	JJ
10_1101-2021_01_05_425266	43	26	practice	practice	NN
10_1101-2021_01_05_425266	43	27	.	.	.
10_1101-2021_01_05_425266	44	1	While	while	IN
10_1101-2021_01_05_425266	44	2	this	this	DT
10_1101-2021_01_05_425266	44	3	framework	framework	NN
10_1101-2021_01_05_425266	44	4	could	could	MD
10_1101-2021_01_05_425266	44	5	be	be	VB
10_1101-2021_01_05_425266	44	6	based	base	VBN
10_1101-2021_01_05_425266	44	7	on	on	IN
10_1101-2021_01_05_425266	44	8	echocardiography	echocardiography	JJ
10_1101-2021_01_05_425266	44	9	images	image	NNS
10_1101-2021_01_05_425266	44	10	[	[	-LRB-
10_1101-2021_01_05_425266	44	11	29	29	CD
10_1101-2021_01_05_425266	44	12	]	]	-RRB-
10_1101-2021_01_05_425266	44	13	,	,	,
10_1101-2021_01_05_425266	44	14	these	these	DT
10_1101-2021_01_05_425266	44	15	data	datum	NNS
10_1101-2021_01_05_425266	44	16	remain	remain	VBP
10_1101-2021_01_05_425266	44	17	limited	limited	JJ
10_1101-2021_01_05_425266	44	18	for	for	IN
10_1101-2021_01_05_425266	44	19	strain	strain	NN
10_1101-2021_01_05_425266	44	20	mapping	mapping	NN
10_1101-2021_01_05_425266	44	21	tasks	task	NNS
10_1101-2021_01_05_425266	44	22	by	by	IN
10_1101-2021_01_05_425266	44	23	their	-PRON-	PRP$
10_1101-2021_01_05_425266	44	24	low	low	JJ
10_1101-2021_01_05_425266	44	25	reproducibility	reproducibility	NN
10_1101-2021_01_05_425266	44	26	of	of	IN
10_1101-2021_01_05_425266	44	27	acquisition	acquisition	NN
10_1101-2021_01_05_425266	44	28	planes	plane	NNS
10_1101-2021_01_05_425266	44	29	[	[	-LRB-
10_1101-2021_01_05_425266	44	30	4	4	CD
10_1101-2021_01_05_425266	44	31	]	]	-RRB-
10_1101-2021_01_05_425266	44	32	and	and	CC
10_1101-2021_01_05_425266	44	33	temporal	temporal	JJ
10_1101-2021_01_05_425266	44	34	stability	stability	NN
10_1101-2021_01_05_425266	44	35	of	of	IN
10_1101-2021_01_05_425266	44	36	tracking	track	VBG
10_1101-2021_01_05_425266	44	37	patterns	pattern	NNS
10_1101-2021_01_05_425266	44	38	[	[	-LRB-
10_1101-2021_01_05_425266	44	39	30	30	CD
10_1101-2021_01_05_425266	44	40	]	]	-RRB-
10_1101-2021_01_05_425266	44	41	.	.	.
10_1101-2021_01_05_425266	45	1	In	in	IN
10_1101-2021_01_05_425266	45	2	contrast	contrast	NN
10_1101-2021_01_05_425266	45	3	,	,	,
10_1101-2021_01_05_425266	45	4	cine-	cine-	JJ
10_1101-2021_01_05_425266	45	5	MRI	MRI	NNP
10_1101-2021_01_05_425266	45	6	offers	offer	VBZ
10_1101-2021_01_05_425266	45	7	the	the	DT
10_1101-2021_01_05_425266	45	8	most	most	RBS
10_1101-2021_01_05_425266	45	9	accurate	accurate	JJ
10_1101-2021_01_05_425266	45	10	and	and	CC
10_1101-2021_01_05_425266	45	11	reproducible	reproducible	JJ
10_1101-2021_01_05_425266	45	12	assessment	assessment	NN
10_1101-2021_01_05_425266	45	13	of	of	IN
10_1101-2021_01_05_425266	45	14	cardiac	cardiac	JJ
10_1101-2021_01_05_425266	45	15	anatomy	anatomy	NN
10_1101-2021_01_05_425266	45	16	and	and	CC
10_1101-2021_01_05_425266	45	17	function	function	NN
10_1101-2021_01_05_425266	45	18	,	,	,
10_1101-2021_01_05_425266	45	19	thus	thus	RB
10_1101-2021_01_05_425266	45	20	providing	provide	VBG
10_1101-2021_01_05_425266	45	21	a	a	DT
10_1101-2021_01_05_425266	45	22	more	more	RBR
10_1101-2021_01_05_425266	45	23	thorough	thorough	JJ
10_1101-2021_01_05_425266	45	24	set	set	NN
10_1101-2021_01_05_425266	45	25	of	of	IN
10_1101-2021_01_05_425266	45	26	data	datum	NNS
10_1101-2021_01_05_425266	45	27	for	for	IN
10_1101-2021_01_05_425266	45	28	learning	learning	NN
10_1101-2021_01_05_425266	45	29	-	-	HYPH
10_1101-2021_01_05_425266	45	30	based	base	VBN
10_1101-2021_01_05_425266	45	31	motion	motion	NN
10_1101-2021_01_05_425266	45	32	models	model	NNS
10_1101-2021_01_05_425266	45	33	.	.	.
10_1101-2021_01_05_425266	46	1	We	-PRON-	PRP
10_1101-2021_01_05_425266	46	2	propose	propose	VBP
10_1101-2021_01_05_425266	46	3	DeepStrain	DeepStrain	NNP
10_1101-2021_01_05_425266	46	4	,	,	,
10_1101-2021_01_05_425266	46	5	an	an	DT
10_1101-2021_01_05_425266	46	6	automated	automate	VBN
10_1101-2021_01_05_425266	46	7	workflow	workflow	NN
10_1101-2021_01_05_425266	46	8	that	that	WDT
10_1101-2021_01_05_425266	46	9	derives	derive	VBZ
10_1101-2021_01_05_425266	46	10	global	global	JJ
10_1101-2021_01_05_425266	46	11	and	and	CC
10_1101-2021_01_05_425266	46	12	regional	regional	JJ
10_1101-2021_01_05_425266	46	13	strain	strain	NN
10_1101-2021_01_05_425266	46	14	measures	measure	NNS
10_1101-2021_01_05_425266	46	15	from	from	IN
10_1101-2021_01_05_425266	46	16	cine	cine	NN
10_1101-2021_01_05_425266	46	17	-	-	HYPH
10_1101-2021_01_05_425266	46	18	MRI	mri	NN
10_1101-2021_01_05_425266	46	19	data	datum	NNS
10_1101-2021_01_05_425266	46	20	by	by	IN
10_1101-2021_01_05_425266	46	21	decoupling	decouple	VBG
10_1101-2021_01_05_425266	46	22	motion	motion	NN
10_1101-2021_01_05_425266	46	23	estimation	estimation	NN
10_1101-2021_01_05_425266	46	24	and	and	CC
10_1101-2021_01_05_425266	46	25	segmentation	segmentation	NN
10_1101-2021_01_05_425266	46	26	tasks	task	NNS
10_1101-2021_01_05_425266	46	27	.	.	.
10_1101-2021_01_05_425266	47	1	After	after	IN
10_1101-2021_01_05_425266	47	2	verifying	verify	VBG
10_1101-2021_01_05_425266	47	3	the	the	DT
10_1101-2021_01_05_425266	47	4	effects	effect	NNS
10_1101-2021_01_05_425266	47	5	of	of	IN
10_1101-2021_01_05_425266	47	6	smoothing	smoothing	JJ
10_1101-2021_01_05_425266	47	7	and	and	CC
10_1101-2021_01_05_425266	47	8	anatomical	anatomical	JJ
10_1101-2021_01_05_425266	47	9	regularizers	regularizer	NNS
10_1101-2021_01_05_425266	47	10	on	on	IN
10_1101-2021_01_05_425266	47	11	motion	motion	NN
10_1101-2021_01_05_425266	47	12	and	and	CC
10_1101-2021_01_05_425266	47	13	strain	strain	NN
10_1101-2021_01_05_425266	47	14	,	,	,
10_1101-2021_01_05_425266	47	15	convolutional	convolutional	JJ
10_1101-2021_01_05_425266	47	16	neural	neural	JJ
10_1101-2021_01_05_425266	47	17	networks	network	NNS
10_1101-2021_01_05_425266	47	18	for	for	IN
10_1101-2021_01_05_425266	47	19	pre-	pre-	NN
10_1101-2021_01_05_425266	47	20	processing	processing	NN
10_1101-2021_01_05_425266	47	21	(	(	-LRB-
10_1101-2021_01_05_425266	47	22	i.e.	i.e.	FW
10_1101-2021_01_05_425266	47	23	,	,	,
10_1101-2021_01_05_425266	47	24	centering	center	VBG
10_1101-2021_01_05_425266	47	25	and	and	CC
10_1101-2021_01_05_425266	47	26	cropping	cropping	NN
10_1101-2021_01_05_425266	47	27	)	)	-RRB-
10_1101-2021_01_05_425266	47	28	,	,	,
10_1101-2021_01_05_425266	47	29	segmentation	segmentation	NN
10_1101-2021_01_05_425266	47	30	,	,	,
10_1101-2021_01_05_425266	47	31	and	and	CC
10_1101-2021_01_05_425266	47	32	motion	motion	NN
10_1101-2021_01_05_425266	47	33	estimation	estimation	NN
10_1101-2021_01_05_425266	47	34	were	be	VBD
10_1101-2021_01_05_425266	47	35	implemented	implement	VBN
10_1101-2021_01_05_425266	47	36	,	,	,
10_1101-2021_01_05_425266	47	37	trained	train	VBN
10_1101-2021_01_05_425266	47	38	,	,	,
10_1101-2021_01_05_425266	47	39	validated	validate	VBD
10_1101-2021_01_05_425266	47	40	,	,	,
10_1101-2021_01_05_425266	47	41	and	and	CC
10_1101-2021_01_05_425266	47	42	compared	compare	VBN
10_1101-2021_01_05_425266	47	43	to	to	IN
10_1101-2021_01_05_425266	47	44	state	state	NN
10_1101-2021_01_05_425266	47	45	-	-	HYPH
10_1101-2021_01_05_425266	47	46	of	of	IN
10_1101-2021_01_05_425266	47	47	-	-	HYPH
10_1101-2021_01_05_425266	47	48	the	the	DT
10_1101-2021_01_05_425266	47	49	-	-	HYPH
10_1101-2021_01_05_425266	47	50	art	art	NN
10_1101-2021_01_05_425266	47	51	methods	method	NNS
10_1101-2021_01_05_425266	47	52	.	.	.
10_1101-2021_01_05_425266	48	1	Finally	finally	RB
10_1101-2021_01_05_425266	48	2	,	,	,
10_1101-2021_01_05_425266	48	3	accuracy	accuracy	NN
10_1101-2021_01_05_425266	48	4	of	of	IN
10_1101-2021_01_05_425266	48	5	strain	strain	JJ
10_1101-2021_01_05_425266	48	6	values	value	NNS
10_1101-2021_01_05_425266	48	7	was	be	VBD
10_1101-2021_01_05_425266	48	8	assessed	assess	VBN
10_1101-2021_01_05_425266	48	9	using	use	VBG
10_1101-2021_01_05_425266	48	10	a	a	DT
10_1101-2021_01_05_425266	48	11	tagging	tagging	NN
10_1101-2021_01_05_425266	48	12	-	-	HYPH
10_1101-2021_01_05_425266	48	13	MRI	mri	NN
10_1101-2021_01_05_425266	48	14	algorithm	algorithm	NN
10_1101-2021_01_05_425266	48	15	as	as	IN
10_1101-2021_01_05_425266	48	16	reference	reference	NN
10_1101-2021_01_05_425266	48	17	standard	standard	NN
10_1101-2021_01_05_425266	48	18	,	,	,
10_1101-2021_01_05_425266	48	19	intra	intra	JJ
10_1101-2021_01_05_425266	48	20	-	-	JJ
10_1101-2021_01_05_425266	48	21	scanner	scanner	JJ
10_1101-2021_01_05_425266	48	22	repeatability	repeatability	NN
10_1101-2021_01_05_425266	48	23	was	be	VBD
10_1101-2021_01_05_425266	48	24	measured	measure	VBN
10_1101-2021_01_05_425266	48	25	using	use	VBG
10_1101-2021_01_05_425266	48	26	subjects	subject	NNS
10_1101-2021_01_05_425266	48	27	with	with	IN
10_1101-2021_01_05_425266	48	28	repeated	repeat	VBN
10_1101-2021_01_05_425266	48	29	scans	scan	NNS
10_1101-2021_01_05_425266	48	30	,	,	,
10_1101-2021_01_05_425266	48	31	and	and	CC
10_1101-2021_01_05_425266	48	32	potential	potential	JJ
10_1101-2021_01_05_425266	48	33	clinical	clinical	JJ
10_1101-2021_01_05_425266	48	34	applications	application	NNS
10_1101-2021_01_05_425266	48	35	of	of	IN
10_1101-2021_01_05_425266	48	36	global	global	JJ
10_1101-2021_01_05_425266	48	37	and	and	CC
10_1101-2021_01_05_425266	48	38	regionals	regional	VBZ
10_1101-2021_01_05_425266	48	39	myocardial	myocardial	NN
10_1101-2021_01_05_425266	48	40	strain	strain	NN
10_1101-2021_01_05_425266	48	41	measures	measure	NNS
10_1101-2021_01_05_425266	48	42	were	be	VBD
10_1101-2021_01_05_425266	48	43	demonstrated	demonstrate	VBN
10_1101-2021_01_05_425266	48	44	on	on	IN
10_1101-2021_01_05_425266	48	45	patient	patient	JJ
10_1101-2021_01_05_425266	48	46	populations	population	NNS
10_1101-2021_01_05_425266	48	47	.	.	.
10_1101-2021_01_05_425266	49	1	II	ii	CD
10_1101-2021_01_05_425266	49	2	.	.	.
10_1101-2021_01_05_425266	50	1	METHOD	METHOD	NNP
10_1101-2021_01_05_425266	50	2	A.	A.	NNP
10_1101-2021_01_05_425266	50	3	Datasets	Datasets	NNP
10_1101-2021_01_05_425266	50	4	For	for	IN
10_1101-2021_01_05_425266	50	5	development	development	NN
10_1101-2021_01_05_425266	50	6	we	-PRON-	PRP
10_1101-2021_01_05_425266	50	7	used	use	VBD
10_1101-2021_01_05_425266	50	8	the	the	DT
10_1101-2021_01_05_425266	50	9	Automated	Automated	NNP
10_1101-2021_01_05_425266	50	10	Cardiac	Cardiac	NNP
10_1101-2021_01_05_425266	50	11	Diagnosis	Diagnosis	NNP
10_1101-2021_01_05_425266	50	12	Challenge	Challenge	NNP
10_1101-2021_01_05_425266	50	13	(	(	-LRB-
10_1101-2021_01_05_425266	50	14	ACDC	ACDC	NNP
10_1101-2021_01_05_425266	50	15	)	)	-RRB-
10_1101-2021_01_05_425266	50	16	dataset	dataset	VBD
10_1101-2021_01_05_425266	50	17	[	[	-LRB-
10_1101-2021_01_05_425266	50	18	31	31	CD
10_1101-2021_01_05_425266	50	19	]	]	-RRB-
10_1101-2021_01_05_425266	50	20	,	,	,
10_1101-2021_01_05_425266	50	21	consisting	consist	VBG
10_1101-2021_01_05_425266	50	22	of	of	IN
10_1101-2021_01_05_425266	50	23	cine	cine	NN
10_1101-2021_01_05_425266	50	24	-	-	HYPH
10_1101-2021_01_05_425266	50	25	MRI	mri	NN
10_1101-2021_01_05_425266	50	26	data	datum	NNS
10_1101-2021_01_05_425266	50	27	from	from	IN
10_1101-2021_01_05_425266	50	28	150	150	CD
10_1101-2021_01_05_425266	50	29	subjects	subject	NNS
10_1101-2021_01_05_425266	50	30	evenly	evenly	RB
10_1101-2021_01_05_425266	50	31	divided	divide	VBD
10_1101-2021_01_05_425266	50	32	into	into	IN
10_1101-2021_01_05_425266	50	33	five	five	CD
10_1101-2021_01_05_425266	50	34	groups	group	NNS
10_1101-2021_01_05_425266	50	35	:	:	:
10_1101-2021_01_05_425266	50	36	healthy	healthy	JJ
10_1101-2021_01_05_425266	50	37	and	and	CC
10_1101-2021_01_05_425266	50	38	patients	patient	NNS
10_1101-2021_01_05_425266	50	39	with	with	IN
10_1101-2021_01_05_425266	50	40	hypertrophic	hypertrophic	JJ
10_1101-2021_01_05_425266	50	41	cardiomyopathy	cardiomyopathy	NNS
10_1101-2021_01_05_425266	50	42	(	(	-LRB-
10_1101-2021_01_05_425266	50	43	HCM	HCM	NNP
10_1101-2021_01_05_425266	50	44	)	)	-RRB-
10_1101-2021_01_05_425266	50	45	,	,	,
10_1101-2021_01_05_425266	50	46	abnormal	abnormal	JJ
10_1101-2021_01_05_425266	50	47	right	right	JJ
10_1101-2021_01_05_425266	50	48	ventricle	ventricle	NN
10_1101-2021_01_05_425266	50	49	(	(	-LRB-
10_1101-2021_01_05_425266	50	50	ARV	ARV	NNP
10_1101-2021_01_05_425266	50	51	)	)	-RRB-
10_1101-2021_01_05_425266	50	52	,	,	,
10_1101-2021_01_05_425266	50	53	myocardial	myocardial	JJ
10_1101-2021_01_05_425266	50	54	infarction	infarction	NN
10_1101-2021_01_05_425266	50	55	with	with	IN
10_1101-2021_01_05_425266	50	56	reduced	reduce	VBN
10_1101-2021_01_05_425266	50	57	ejection	ejection	NN
10_1101-2021_01_05_425266	50	58	fraction	fraction	NN
10_1101-2021_01_05_425266	50	59	(	(	-LRB-
10_1101-2021_01_05_425266	50	60	MI	MI	NNP
10_1101-2021_01_05_425266	50	61	)	)	-RRB-
10_1101-2021_01_05_425266	50	62	,	,	,
10_1101-2021_01_05_425266	50	63	and	and	CC
10_1101-2021_01_05_425266	50	64	dilated	dilate	VBN
10_1101-2021_01_05_425266	50	65	cardiomyopathy	cardiomyopathy	NNP
10_1101-2021_01_05_425266	50	66	(	(	-LRB-
10_1101-2021_01_05_425266	50	67	DCM	DCM	NNP
10_1101-2021_01_05_425266	50	68	)	)	-RRB-
10_1101-2021_01_05_425266	50	69	.	.	.
10_1101-2021_01_05_425266	51	1	These	these	DT
10_1101-2021_01_05_425266	51	2	data	datum	NNS
10_1101-2021_01_05_425266	51	3	were	be	VBD
10_1101-2021_01_05_425266	51	4	publicly	publicly	RB
10_1101-2021_01_05_425266	51	5	available	available	JJ
10_1101-2021_01_05_425266	51	6	as	as	IN
10_1101-2021_01_05_425266	51	7	train	train	NN
10_1101-2021_01_05_425266	51	8	(	(	-LRB-
10_1101-2021_01_05_425266	51	9	n=100	n=100	CD
10_1101-2021_01_05_425266	51	10	)	)	-RRB-
10_1101-2021_01_05_425266	51	11	and	and	CC
10_1101-2021_01_05_425266	51	12	test	test	VB
10_1101-2021_01_05_425266	51	13	(	(	-LRB-
10_1101-2021_01_05_425266	51	14	n=50	n=50	NNP
10_1101-2021_01_05_425266	51	15	)	)	-RRB-
10_1101-2021_01_05_425266	51	16	sets	set	NNS
10_1101-2021_01_05_425266	51	17	,	,	,
10_1101-2021_01_05_425266	51	18	with	with	IN
10_1101-2021_01_05_425266	51	19	manual	manual	JJ
10_1101-2021_01_05_425266	51	20	segmentations	segmentation	NNS
10_1101-2021_01_05_425266	51	21	included	include	VBN
10_1101-2021_01_05_425266	51	22	for	for	IN
10_1101-2021_01_05_425266	51	23	the	the	DT
10_1101-2021_01_05_425266	51	24	train	train	NN
10_1101-2021_01_05_425266	51	25	set	set	VBN
10_1101-2021_01_05_425266	51	26	only	only	RB
10_1101-2021_01_05_425266	51	27	.	.	.
10_1101-2021_01_05_425266	52	1	For	for	IN
10_1101-2021_01_05_425266	52	2	validation	validation	NN
10_1101-2021_01_05_425266	52	3	of	of	IN
10_1101-2021_01_05_425266	52	4	motion	motion	NN
10_1101-2021_01_05_425266	52	5	and	and	CC
10_1101-2021_01_05_425266	52	6	strain	strain	VB
10_1101-2021_01_05_425266	52	7	measures	measure	NNS
10_1101-2021_01_05_425266	52	8	we	-PRON-	PRP
10_1101-2021_01_05_425266	52	9	used	use	VBD
10_1101-2021_01_05_425266	52	10	the	the	DT
10_1101-2021_01_05_425266	52	11	Cardiac	Cardiac	NNP
10_1101-2021_01_05_425266	52	12	Motion	Motion	NNP
10_1101-2021_01_05_425266	52	13	Analysis	Analysis	NNP
10_1101-2021_01_05_425266	52	14	Challenge	Challenge	NNP
10_1101-2021_01_05_425266	52	15	(	(	-LRB-
10_1101-2021_01_05_425266	52	16	CMAC	CMAC	NNP
10_1101-2021_01_05_425266	52	17	)	)	-RRB-
10_1101-2021_01_05_425266	52	18	dataset	dataset	NN
10_1101-2021_01_05_425266	52	19	[	[	-LRB-
10_1101-2021_01_05_425266	52	20	32	32	CD
10_1101-2021_01_05_425266	52	21	]	]	-RRB-
10_1101-2021_01_05_425266	52	22	,	,	,
10_1101-2021_01_05_425266	52	23	consisting	consist	VBG
10_1101-2021_01_05_425266	52	24	of	of	IN
10_1101-2021_01_05_425266	52	25	paired	pair	VBN
10_1101-2021_01_05_425266	52	26	tagging-	tagging-	NN
10_1101-2021_01_05_425266	52	27	and	and	CC
10_1101-2021_01_05_425266	52	28	cine	cine	NN
10_1101-2021_01_05_425266	52	29	-	-	HYPH
10_1101-2021_01_05_425266	52	30	MRI	MRI	NNP
10_1101-2021_01_05_425266	52	31	data	datum	NNS
10_1101-2021_01_05_425266	52	32	from	from	IN
10_1101-2021_01_05_425266	52	33	15	15	CD
10_1101-2021_01_05_425266	52	34	healthy	healthy	JJ
10_1101-2021_01_05_425266	52	35	subjects	subject	NNS
10_1101-2021_01_05_425266	52	36	.	.	.
10_1101-2021_01_05_425266	53	1	To	to	TO
10_1101-2021_01_05_425266	53	2	assess	assess	VB
10_1101-2021_01_05_425266	53	3	intra	intra	JJ
10_1101-2021_01_05_425266	53	4	-	-	JJ
10_1101-2021_01_05_425266	53	5	scanner	scanner	JJ
10_1101-2021_01_05_425266	53	6	repeatability	repeatability	NN
10_1101-2021_01_05_425266	53	7	,	,	,
10_1101-2021_01_05_425266	53	8	four	four	CD
10_1101-2021_01_05_425266	53	9	healthy	healthy	JJ
10_1101-2021_01_05_425266	53	10	volunteers	volunteer	NNS
10_1101-2021_01_05_425266	53	11	were	be	VBD
10_1101-2021_01_05_425266	53	12	recruited	recruit	VBN
10_1101-2021_01_05_425266	53	13	to	to	TO
10_1101-2021_01_05_425266	53	14	undergo	undergo	VB
10_1101-2021_01_05_425266	53	15	repeated	repeat	VBN
10_1101-2021_01_05_425266	53	16	scans	scan	NNS
10_1101-2021_01_05_425266	53	17	on	on	IN
10_1101-2021_01_05_425266	53	18	a	a	DT
10_1101-2021_01_05_425266	53	19	3	3	CD
10_1101-2021_01_05_425266	53	20	T	t	NN
10_1101-2021_01_05_425266	53	21	MRI	mri	NN
10_1101-2021_01_05_425266	53	22	scanner	scanner	NN
10_1101-2021_01_05_425266	53	23	.	.	.
10_1101-2021_01_05_425266	54	1	All	all	DT
10_1101-2021_01_05_425266	54	2	cine	cine	NN
10_1101-2021_01_05_425266	54	3	-	-	HYPH
10_1101-2021_01_05_425266	54	4	MRI	mri	NN
10_1101-2021_01_05_425266	54	5	frames	frame	NNS
10_1101-2021_01_05_425266	54	6	and	and	CC
10_1101-2021_01_05_425266	54	7	corresponding	correspond	VBG
10_1101-2021_01_05_425266	54	8	segmentations	segmentation	NNS
10_1101-2021_01_05_425266	54	9	were	be	VBD
10_1101-2021_01_05_425266	54	10	resampled	resample	VBN
10_1101-2021_01_05_425266	54	11	to	to	IN
10_1101-2021_01_05_425266	54	12	a	a	DT
10_1101-2021_01_05_425266	54	13	256×256×16	256×256×16	CD
10_1101-2021_01_05_425266	54	14	volume	volume	NN
10_1101-2021_01_05_425266	54	15	grid	grid	NN
10_1101-2021_01_05_425266	54	16	with	with	IN
10_1101-2021_01_05_425266	54	17	1.25	1.25	CD
10_1101-2021_01_05_425266	54	18	mm	mm	CD
10_1101-2021_01_05_425266	54	19	×	×	NN
10_1101-2021_01_05_425266	54	20	1.25	1.25	CD
10_1101-2021_01_05_425266	54	21	mm	mm	NNP
10_1101-2021_01_05_425266	54	22	in	in	IN
10_1101-2021_01_05_425266	54	23	-	-	HYPH
10_1101-2021_01_05_425266	54	24	plane	plane	NN
10_1101-2021_01_05_425266	54	25	resolution	resolution	NN
10_1101-2021_01_05_425266	54	26	and	and	CC
10_1101-2021_01_05_425266	54	27	variable	variable	JJ
10_1101-2021_01_05_425266	54	28	slice	slice	NN
10_1101-2021_01_05_425266	54	29	thickness	thickness	NN
10_1101-2021_01_05_425266	54	30	(	(	-LRB-
10_1101-2021_01_05_425266	54	31	4	4	CD
10_1101-2021_01_05_425266	54	32	-	-	SYM
10_1101-2021_01_05_425266	54	33	7	7	CD
10_1101-2021_01_05_425266	54	34	mm	mm	NNP
10_1101-2021_01_05_425266	54	35	)	)	-RRB-
10_1101-2021_01_05_425266	54	36	.	.	.
10_1101-2021_01_05_425266	55	1	See	see	VB
10_1101-2021_01_05_425266	55	2	supplementary	supplementary	JJ
10_1101-2021_01_05_425266	55	3	section	section	NN
10_1101-2021_01_05_425266	55	4	S1	S1	NNS
10_1101-2021_01_05_425266	55	5	for	for	IN
10_1101-2021_01_05_425266	55	6	acquisition	acquisition	NN
10_1101-2021_01_05_425266	55	7	protocol	protocol	NN
10_1101-2021_01_05_425266	55	8	.	.	.
10_1101-2021_01_05_425266	56	1	B.	B.	NNP
10_1101-2021_01_05_425266	56	2	Myocardial	Myocardial	NNP
10_1101-2021_01_05_425266	56	3	Strain	Strain	NNP
10_1101-2021_01_05_425266	56	4	Definitions	Definitions	NNPS
10_1101-2021_01_05_425266	56	5	Strain	Strain	NNP
10_1101-2021_01_05_425266	56	6	represents	represent	VBZ
10_1101-2021_01_05_425266	56	7	percent	percent	NN
10_1101-2021_01_05_425266	56	8	change	change	NN
10_1101-2021_01_05_425266	56	9	in	in	IN
10_1101-2021_01_05_425266	56	10	myocardial	myocardial	JJ
10_1101-2021_01_05_425266	56	11	length	length	NN
10_1101-2021_01_05_425266	56	12	per	per	IN
10_1101-2021_01_05_425266	56	13	unit	unit	NN
10_1101-2021_01_05_425266	56	14	length	length	NN
10_1101-2021_01_05_425266	56	15	.	.	.
10_1101-2021_01_05_425266	57	1	The	the	DT
10_1101-2021_01_05_425266	57	2	three	three	CD
10_1101-2021_01_05_425266	57	3	-	-	HYPH
10_1101-2021_01_05_425266	57	4	dimensional	dimensional	JJ
10_1101-2021_01_05_425266	57	5	(	(	-LRB-
10_1101-2021_01_05_425266	57	6	3D	3d	NN
10_1101-2021_01_05_425266	57	7	)	)	-RRB-
10_1101-2021_01_05_425266	57	8	analog	analog	VB
10_1101-2021_01_05_425266	57	9	for	for	IN
10_1101-2021_01_05_425266	57	10	MRI	MRI	NNP
10_1101-2021_01_05_425266	57	11	is	be	VBZ
10_1101-2021_01_05_425266	57	12	given	give	VBN
10_1101-2021_01_05_425266	57	13	by	by	IN
10_1101-2021_01_05_425266	57	14	the	the	DT
10_1101-2021_01_05_425266	57	15	Lagrange	Lagrange	NNP
10_1101-2021_01_05_425266	57	16	strain	strain	NN
10_1101-2021_01_05_425266	57	17	tensor	tensor	NN
10_1101-2021_01_05_425266	57	18	𝝐	𝝐	NNP
10_1101-2021_01_05_425266	57	19	𝑡	𝑡	NNP
10_1101-2021_01_05_425266	57	20	=	=	SYM
10_1101-2021_01_05_425266	57	21	𝛻𝒖	𝛻𝒖	NN
10_1101-2021_01_05_425266	57	22	𝑡	𝑡	NN
10_1101-2021_01_05_425266	57	23	+	+	SYM
10_1101-2021_01_05_425266	57	24	𝛻𝒖	𝛻𝒖	NN
10_1101-2021_01_05_425266	57	25	𝑡	𝑡	NN
10_1101-2021_01_05_425266	57	26	(	(	-LRB-
10_1101-2021_01_05_425266	57	27	+	+	CC
10_1101-2021_01_05_425266	57	28	𝛻𝒖	𝛻𝒖	NN
10_1101-2021_01_05_425266	57	29	𝑡	𝑡	NN
10_1101-2021_01_05_425266	57	30	(	(	-LRB-
10_1101-2021_01_05_425266	57	31	𝛻𝒖	𝛻𝒖	NN
10_1101-2021_01_05_425266	57	32	𝑡	𝑡	NNP
10_1101-2021_01_05_425266	57	33	/2	/2	NNP
10_1101-2021_01_05_425266	57	34	,	,	,
10_1101-2021_01_05_425266	57	35	(	(	-LRB-
10_1101-2021_01_05_425266	57	36	1	1	LS
10_1101-2021_01_05_425266	57	37	)	)	-RRB-
10_1101-2021_01_05_425266	57	38	where	where	WRB
10_1101-2021_01_05_425266	57	39	𝒖	𝒖	NNP
10_1101-2021_01_05_425266	57	40	𝑡	𝑡	NNP
10_1101-2021_01_05_425266	57	41	denotes	denote	VBZ
10_1101-2021_01_05_425266	57	42	myocardial	myocardial	JJ
10_1101-2021_01_05_425266	57	43	displacement	displacement	NN
10_1101-2021_01_05_425266	57	44	from	from	IN
10_1101-2021_01_05_425266	57	45	a	a	DT
10_1101-2021_01_05_425266	57	46	fully-	fully-	JJ
10_1101-2021_01_05_425266	57	47	relaxed	relaxed	JJ
10_1101-2021_01_05_425266	57	48	end	end	JJ
10_1101-2021_01_05_425266	57	49	-	-	HYPH
10_1101-2021_01_05_425266	57	50	diastolic	diastolic	NN
10_1101-2021_01_05_425266	57	51	phase	phase	NN
10_1101-2021_01_05_425266	57	52	at	at	IN
10_1101-2021_01_05_425266	57	53	t=0	t=0	NNP
10_1101-2021_01_05_425266	57	54	,	,	,
10_1101-2021_01_05_425266	57	55	to	to	IN
10_1101-2021_01_05_425266	57	56	a	a	DT
10_1101-2021_01_05_425266	57	57	contracted	contract	VBN
10_1101-2021_01_05_425266	57	58	frame	frame	NN
10_1101-2021_01_05_425266	57	59	at	at	IN
10_1101-2021_01_05_425266	57	60	t>0	t>0	NN
10_1101-2021_01_05_425266	57	61	.	.	.
10_1101-2021_01_05_425266	58	1	Radial	radial	JJ
10_1101-2021_01_05_425266	58	2	and	and	CC
10_1101-2021_01_05_425266	58	3	circumferential	circumferential	JJ
10_1101-2021_01_05_425266	58	4	strain	strain	NN
10_1101-2021_01_05_425266	58	5	are	be	VBP
10_1101-2021_01_05_425266	58	6	the	the	DT
10_1101-2021_01_05_425266	58	7	diagonal	diagonal	JJ
10_1101-2021_01_05_425266	58	8	components	component	NNS
10_1101-2021_01_05_425266	58	9	of	of	IN
10_1101-2021_01_05_425266	58	10	the	the	DT
10_1101-2021_01_05_425266	58	11	tensor	tensor	NN
10_1101-2021_01_05_425266	58	12	𝝐	𝝐	NNP
10_1101-2021_01_05_425266	58	13	evaluated	evaluate	VBD
10_1101-2021_01_05_425266	58	14	in	in	IN
10_1101-2021_01_05_425266	58	15	cylindrical	cylindrical	JJ
10_1101-2021_01_05_425266	58	16	coordinates	coordinate	NNS
10_1101-2021_01_05_425266	58	17	.	.	.
10_1101-2021_01_05_425266	59	1	Strain	strain	NN
10_1101-2021_01_05_425266	59	2	rate	rate	NN
10_1101-2021_01_05_425266	59	3	(	(	-LRB-
10_1101-2021_01_05_425266	59	4	SR	SR	NNP
10_1101-2021_01_05_425266	59	5	)	)	-RRB-
10_1101-2021_01_05_425266	59	6	is	be	VBZ
10_1101-2021_01_05_425266	59	7	the	the	DT
10_1101-2021_01_05_425266	59	8	time	time	NN
10_1101-2021_01_05_425266	59	9	derivative	derivative	JJ
10_1101-2021_01_05_425266	59	10	of	of	IN
10_1101-2021_01_05_425266	59	11	(	(	-LRB-
10_1101-2021_01_05_425266	59	12	1	1	CD
10_1101-2021_01_05_425266	59	13	)	)	-RRB-
10_1101-2021_01_05_425266	59	14	.	.	.
10_1101-2021_01_05_425266	60	1	Global	global	JJ
10_1101-2021_01_05_425266	60	2	strain	strain	NN
10_1101-2021_01_05_425266	60	3	is	be	VBZ
10_1101-2021_01_05_425266	60	4	defined	define	VBN
10_1101-2021_01_05_425266	60	5	as	as	IN
10_1101-2021_01_05_425266	60	6	the	the	DT
10_1101-2021_01_05_425266	60	7	average	average	NN
10_1101-2021_01_05_425266	60	8	of	of	IN
10_1101-2021_01_05_425266	60	9	𝝐	𝝐	NN
10_1101-2021_01_05_425266	60	10	over	over	IN
10_1101-2021_01_05_425266	60	11	the	the	DT
10_1101-2021_01_05_425266	60	12	whole	whole	JJ
10_1101-2021_01_05_425266	60	13	LV	LV	NNP
10_1101-2021_01_05_425266	60	14	myocardium	myocardium	NN
10_1101-2021_01_05_425266	60	15	(	(	-LRB-
10_1101-2021_01_05_425266	60	16	LVM	LVM	NNP
10_1101-2021_01_05_425266	60	17	)	)	-RRB-
10_1101-2021_01_05_425266	60	18	volume	volume	NN
10_1101-2021_01_05_425266	60	19	.	.	.
10_1101-2021_01_05_425266	61	1	Regional	regional	JJ
10_1101-2021_01_05_425266	61	2	strain	strain	NN
10_1101-2021_01_05_425266	61	3	is	be	VBZ
10_1101-2021_01_05_425266	61	4	defined	define	VBN
10_1101-2021_01_05_425266	61	5	as	as	IN
10_1101-2021_01_05_425266	61	6	the	the	DT
10_1101-2021_01_05_425266	61	7	average	average	NN
10_1101-2021_01_05_425266	61	8	of	of	IN
10_1101-2021_01_05_425266	61	9	𝝐	𝝐	NN
10_1101-2021_01_05_425266	61	10	over	over	IN
10_1101-2021_01_05_425266	61	11	the	the	DT
10_1101-2021_01_05_425266	61	12	volume	volume	NN
10_1101-2021_01_05_425266	61	13	of	of	IN
10_1101-2021_01_05_425266	61	14	specific	specific	JJ
10_1101-2021_01_05_425266	61	15	LVM	LVM	NNP
10_1101-2021_01_05_425266	61	16	segments	segment	NNS
10_1101-2021_01_05_425266	61	17	defined	define	VBN
10_1101-2021_01_05_425266	61	18	by	by	IN
10_1101-2021_01_05_425266	61	19	the	the	DT
10_1101-2021_01_05_425266	61	20	American	American	NNP
10_1101-2021_01_05_425266	61	21	Heart	Heart	NNP
10_1101-2021_01_05_425266	61	22	Association	Association	NNP
10_1101-2021_01_05_425266	61	23	(	(	-LRB-
10_1101-2021_01_05_425266	61	24	AHA	AHA	NNP
10_1101-2021_01_05_425266	61	25	)	)	-RRB-
10_1101-2021_01_05_425266	61	26	polar	polar	JJ
10_1101-2021_01_05_425266	61	27	map	map	NN
10_1101-2021_01_05_425266	61	28	[	[	-LRB-
10_1101-2021_01_05_425266	61	29	33	33	CD
10_1101-2021_01_05_425266	61	30	]	]	-RRB-
10_1101-2021_01_05_425266	61	31	,	,	,
10_1101-2021_01_05_425266	61	32	which	which	WDT
10_1101-2021_01_05_425266	61	33	requires	require	VBZ
10_1101-2021_01_05_425266	61	34	labels	label	NNS
10_1101-2021_01_05_425266	61	35	of	of	IN
10_1101-2021_01_05_425266	61	36	the	the	DT
10_1101-2021_01_05_425266	61	37	right	right	JJ
10_1101-2021_01_05_425266	61	38	ventricle	ventricle	NN
10_1101-2021_01_05_425266	61	39	to	to	TO
10_1101-2021_01_05_425266	61	40	construct	construct	VB
10_1101-2021_01_05_425266	61	41	.	.	.
10_1101-2021_01_05_425266	62	1	Specific	specific	JJ
10_1101-2021_01_05_425266	62	2	parameters	parameter	NNS
10_1101-2021_01_05_425266	62	3	based	base	VBN
10_1101-2021_01_05_425266	62	4	on	on	IN
10_1101-2021_01_05_425266	62	5	timing	timing	NN
10_1101-2021_01_05_425266	62	6	and	and	CC
10_1101-2021_01_05_425266	62	7	magnitude	magnitude	NN
10_1101-2021_01_05_425266	62	8	are	be	VBP
10_1101-2021_01_05_425266	62	9	extracted	extract	VBN
10_1101-2021_01_05_425266	62	10	from	from	IN
10_1101-2021_01_05_425266	62	11	the	the	DT
10_1101-2021_01_05_425266	62	12	measures	measure	NNS
10_1101-2021_01_05_425266	62	13	evaluated	evaluate	VBN
10_1101-2021_01_05_425266	62	14	over	over	IN
10_1101-2021_01_05_425266	62	15	a	a	DT
10_1101-2021_01_05_425266	62	16	whole	whole	JJ
10_1101-2021_01_05_425266	62	17	cardiac	cardiac	JJ
10_1101-2021_01_05_425266	62	18	cycle	cycle	NN
10_1101-2021_01_05_425266	62	19	:	:	:
10_1101-2021_01_05_425266	62	20	end	end	NN
10_1101-2021_01_05_425266	62	21	-	-	HYPH
10_1101-2021_01_05_425266	62	22	systolic	systolic	JJ
10_1101-2021_01_05_425266	62	23	strain	strain	NN
10_1101-2021_01_05_425266	62	24	(	(	-LRB-
10_1101-2021_01_05_425266	62	25	ESS	ESS	NNP
10_1101-2021_01_05_425266	62	26	)	)	-RRB-
10_1101-2021_01_05_425266	62	27	,	,	,
10_1101-2021_01_05_425266	62	28	defined	define	VBN
10_1101-2021_01_05_425266	62	29	as	as	IN
10_1101-2021_01_05_425266	62	30	the	the	DT
10_1101-2021_01_05_425266	62	31	global	global	JJ
10_1101-2021_01_05_425266	62	32	strain	strain	NN
10_1101-2021_01_05_425266	62	33	value	value	NN
10_1101-2021_01_05_425266	62	34	at	at	IN
10_1101-2021_01_05_425266	62	35	end	end	NN
10_1101-2021_01_05_425266	62	36	-	-	HYPH
10_1101-2021_01_05_425266	62	37	systole	systole	NN
10_1101-2021_01_05_425266	62	38	;	;	:
10_1101-2021_01_05_425266	62	39	systolic	systolic	JJ
10_1101-2021_01_05_425266	62	40	strain	strain	NN
10_1101-2021_01_05_425266	62	41	rate	rate	NN
10_1101-2021_01_05_425266	62	42	(	(	-LRB-
10_1101-2021_01_05_425266	62	43	SRs	sr	NNS
10_1101-2021_01_05_425266	62	44	)	)	-RRB-
10_1101-2021_01_05_425266	62	45	,	,	,
10_1101-2021_01_05_425266	62	46	defined	define	VBN
10_1101-2021_01_05_425266	62	47	as	as	IN
10_1101-2021_01_05_425266	62	48	the	the	DT
10_1101-2021_01_05_425266	62	49	peak	peak	NN
10_1101-2021_01_05_425266	62	50	(	(	-LRB-
10_1101-2021_01_05_425266	62	51	i.e.	i.e.	FW
10_1101-2021_01_05_425266	62	52	,	,	,
10_1101-2021_01_05_425266	62	53	maximum	maximum	JJ
10_1101-2021_01_05_425266	62	54	)	)	-RRB-
10_1101-2021_01_05_425266	62	55	absolute	absolute	JJ
10_1101-2021_01_05_425266	62	56	value	value	NN
10_1101-2021_01_05_425266	62	57	of	of	IN
10_1101-2021_01_05_425266	62	58	global	global	JJ
10_1101-2021_01_05_425266	62	59	SR	SR	NNP
10_1101-2021_01_05_425266	62	60	during	during	IN
10_1101-2021_01_05_425266	62	61	systole	systole	NNS
10_1101-2021_01_05_425266	62	62	;	;	:
10_1101-2021_01_05_425266	62	63	early	early	JJ
10_1101-2021_01_05_425266	62	64	-	-	HYPH
10_1101-2021_01_05_425266	62	65	diastolic	diastolic	JJ
10_1101-2021_01_05_425266	62	66	strain	strain	NN
10_1101-2021_01_05_425266	62	67	rate	rate	NN
10_1101-2021_01_05_425266	62	68	(	(	-LRB-
10_1101-2021_01_05_425266	62	69	SRe	SRe	NNP
10_1101-2021_01_05_425266	62	70	)	)	-RRB-
10_1101-2021_01_05_425266	62	71	,	,	,
10_1101-2021_01_05_425266	62	72	defined	define	VBN
10_1101-2021_01_05_425266	62	73	as	as	IN
10_1101-2021_01_05_425266	62	74	the	the	DT
10_1101-2021_01_05_425266	62	75	peak	peak	JJ
10_1101-2021_01_05_425266	62	76	absolute	absolute	JJ
10_1101-2021_01_05_425266	62	77	value	value	NN
10_1101-2021_01_05_425266	62	78	of	of	IN
10_1101-2021_01_05_425266	62	79	global	global	JJ
10_1101-2021_01_05_425266	62	80	SR	SR	NNP
10_1101-2021_01_05_425266	62	81	during	during	IN
10_1101-2021_01_05_425266	62	82	diastole	diastole	NNP
10_1101-2021_01_05_425266	62	83	.	.	.
10_1101-2021_01_05_425266	63	1	.CC	.CC	NFP
10_1101-2021_01_05_425266	63	2	-	-	:
10_1101-2021_01_05_425266	63	3	BY	by	IN
10_1101-2021_01_05_425266	63	4	-	-	HYPH
10_1101-2021_01_05_425266	63	5	NC	NC	NNP
10_1101-2021_01_05_425266	63	6	-	-	HYPH
10_1101-2021_01_05_425266	63	7	ND	ND	NNP
10_1101-2021_01_05_425266	63	8	4.0	4.0	CD
10_1101-2021_01_05_425266	63	9	International	International	NNP
10_1101-2021_01_05_425266	63	10	licenseavailable	licenseavailable	NN
10_1101-2021_01_05_425266	63	11	under	under	IN
10_1101-2021_01_05_425266	63	12	a	a	DT
10_1101-2021_01_05_425266	63	13	(	(	-LRB-
10_1101-2021_01_05_425266	63	14	which	which	WDT
10_1101-2021_01_05_425266	63	15	was	be	VBD
10_1101-2021_01_05_425266	63	16	not	not	RB
10_1101-2021_01_05_425266	63	17	certified	certify	VBN
10_1101-2021_01_05_425266	63	18	by	by	IN
10_1101-2021_01_05_425266	63	19	peer	peer	NN
10_1101-2021_01_05_425266	63	20	review	review	NN
10_1101-2021_01_05_425266	63	21	)	)	-RRB-
10_1101-2021_01_05_425266	63	22	is	be	VBZ
10_1101-2021_01_05_425266	63	23	the	the	DT
10_1101-2021_01_05_425266	63	24	author	author	NN
10_1101-2021_01_05_425266	63	25	/	/	SYM
10_1101-2021_01_05_425266	63	26	funder	funder	NN
10_1101-2021_01_05_425266	63	27	,	,	,
10_1101-2021_01_05_425266	63	28	who	who	WP
10_1101-2021_01_05_425266	63	29	has	have	VBZ
10_1101-2021_01_05_425266	63	30	granted	grant	VBN
10_1101-2021_01_05_425266	63	31	bioRxiv	biorxiv	IN
10_1101-2021_01_05_425266	63	32	a	a	DT
10_1101-2021_01_05_425266	63	33	license	license	NN
10_1101-2021_01_05_425266	63	34	to	to	TO
10_1101-2021_01_05_425266	63	35	display	display	VB
10_1101-2021_01_05_425266	63	36	the	the	DT
10_1101-2021_01_05_425266	63	37	preprint	preprint	NN
10_1101-2021_01_05_425266	63	38	in	in	IN
10_1101-2021_01_05_425266	63	39	perpetuity	perpetuity	NN
10_1101-2021_01_05_425266	63	40	.	.	.
10_1101-2021_01_05_425266	64	1	It	-PRON-	PRP
10_1101-2021_01_05_425266	64	2	is	be	VBZ
10_1101-2021_01_05_425266	64	3	made	make	VBN
10_1101-2021_01_05_425266	64	4	The	the	DT
10_1101-2021_01_05_425266	64	5	copyright	copyright	NN
10_1101-2021_01_05_425266	64	6	holder	holder	NN
10_1101-2021_01_05_425266	64	7	for	for	IN
10_1101-2021_01_05_425266	64	8	this	this	DT
10_1101-2021_01_05_425266	64	9	preprintthis	preprintthis	NN
10_1101-2021_01_05_425266	64	10	version	version	NN
10_1101-2021_01_05_425266	64	11	posted	post	VBD
10_1101-2021_01_05_425266	64	12	January	January	NNP
10_1101-2021_01_05_425266	64	13	7	7	CD
10_1101-2021_01_05_425266	64	14	,	,	,
10_1101-2021_01_05_425266	64	15	2021	2021	CD
10_1101-2021_01_05_425266	64	16	.	.	.
10_1101-2021_01_05_425266	64	17	;	;	:
10_1101-2021_01_05_425266	64	18	https://doi.org/10.1101/2021.01.05.425266doi	https://doi.org/10.1101/2021.01.05.425266doi	NNP
10_1101-2021_01_05_425266	64	19	:	:	:
10_1101-2021_01_05_425266	64	20	bioRxiv	biorxiv	IN
10_1101-2021_01_05_425266	64	21	preprint	preprint	NN
10_1101-2021_01_05_425266	64	22	https://doi.org/10.1101/2021.01.05.425266	https://doi.org/10.1101/2021.01.05.425266	NN
10_1101-2021_01_05_425266	64	23	http://creativecommons.org/licenses/by-nc-nd/4.0/	http://creativecommons.org/licenses/by-nc-nd/4.0/	NN
10_1101-2021_01_05_425266	64	24	C.	C.	NNP
10_1101-2021_01_05_425266	64	25	Centering	Centering	NNP
10_1101-2021_01_05_425266	64	26	,	,	,
10_1101-2021_01_05_425266	64	27	Segmentation	Segmentation	NNP
10_1101-2021_01_05_425266	64	28	,	,	,
10_1101-2021_01_05_425266	64	29	and	and	CC
10_1101-2021_01_05_425266	64	30	Motion	Motion	NNP
10_1101-2021_01_05_425266	64	31	Estimation	Estimation	NNP
10_1101-2021_01_05_425266	64	32	DeepStrain	DeepStrain	NNP
10_1101-2021_01_05_425266	64	33	(	(	-LRB-
10_1101-2021_01_05_425266	64	34	Fig	fig	NN
10_1101-2021_01_05_425266	64	35	.	.	.
10_1101-2021_01_05_425266	65	1	1	1	LS
10_1101-2021_01_05_425266	65	2	)	)	-RRB-
10_1101-2021_01_05_425266	65	3	consists	consist	VBZ
10_1101-2021_01_05_425266	65	4	of	of	IN
10_1101-2021_01_05_425266	65	5	a	a	DT
10_1101-2021_01_05_425266	65	6	series	series	NN
10_1101-2021_01_05_425266	65	7	of	of	IN
10_1101-2021_01_05_425266	65	8	convolutional	convolutional	JJ
10_1101-2021_01_05_425266	65	9	neural	neural	JJ
10_1101-2021_01_05_425266	65	10	networks	network	NNS
10_1101-2021_01_05_425266	65	11	that	that	WDT
10_1101-2021_01_05_425266	65	12	perform	perform	VBP
10_1101-2021_01_05_425266	65	13	three	three	CD
10_1101-2021_01_05_425266	65	14	tasks	task	NNS
10_1101-2021_01_05_425266	65	15	:	:	:
10_1101-2021_01_05_425266	65	16	a	a	DT
10_1101-2021_01_05_425266	65	17	ventricular	ventricular	JJ
10_1101-2021_01_05_425266	65	18	centering	centering	JJ
10_1101-2021_01_05_425266	65	19	network	network	NN
10_1101-2021_01_05_425266	65	20	(	(	-LRB-
10_1101-2021_01_05_425266	65	21	VCN	VCN	NNP
10_1101-2021_01_05_425266	65	22	)	)	-RRB-
10_1101-2021_01_05_425266	65	23	for	for	IN
10_1101-2021_01_05_425266	65	24	automated	automate	VBN
10_1101-2021_01_05_425266	65	25	centering	center	VBG
10_1101-2021_01_05_425266	65	26	and	and	CC
10_1101-2021_01_05_425266	65	27	cropping	crop	VBG
10_1101-2021_01_05_425266	65	28	,	,	,
10_1101-2021_01_05_425266	65	29	a	a	DT
10_1101-2021_01_05_425266	65	30	cardiac	cardiac	JJ
10_1101-2021_01_05_425266	65	31	motion	motion	NN
10_1101-2021_01_05_425266	65	32	estimation	estimation	NN
10_1101-2021_01_05_425266	65	33	network	network	NN
10_1101-2021_01_05_425266	65	34	(	(	-LRB-
10_1101-2021_01_05_425266	65	35	CarMEN	CarMEN	NNP
10_1101-2021_01_05_425266	65	36	)	)	-RRB-
10_1101-2021_01_05_425266	65	37	to	to	TO
10_1101-2021_01_05_425266	65	38	generate	generate	VB
10_1101-2021_01_05_425266	65	39	𝒖	𝒖	NNP
10_1101-2021_01_05_425266	65	40	,	,	,
10_1101-2021_01_05_425266	65	41	and	and	CC
10_1101-2021_01_05_425266	65	42	a	a	DT
10_1101-2021_01_05_425266	65	43	cardiac	cardiac	JJ
10_1101-2021_01_05_425266	65	44	segmentation	segmentation	NN
10_1101-2021_01_05_425266	65	45	network	network	NN
10_1101-2021_01_05_425266	65	46	(	(	-LRB-
10_1101-2021_01_05_425266	65	47	CarSON	CarSON	NNP
10_1101-2021_01_05_425266	65	48	)	)	-RRB-
10_1101-2021_01_05_425266	65	49	to	to	IN
10_1101-2021_01_05_425266	65	50	generates	generate	VBZ
10_1101-2021_01_05_425266	65	51	tissue	tissue	NN
10_1101-2021_01_05_425266	65	52	labels	label	NNS
10_1101-2021_01_05_425266	65	53	.	.	.
10_1101-2021_01_05_425266	66	1	Estimates	estimate	NNS
10_1101-2021_01_05_425266	66	2	of	of	IN
10_1101-2021_01_05_425266	66	3	𝒖	𝒖	NN
10_1101-2021_01_05_425266	66	4	are	be	VBP
10_1101-2021_01_05_425266	66	5	used	use	VBN
10_1101-2021_01_05_425266	66	6	to	to	TO
10_1101-2021_01_05_425266	66	7	calculate	calculate	VB
10_1101-2021_01_05_425266	66	8	myocardial	myocardial	JJ
10_1101-2021_01_05_425266	66	9	strain	strain	NN
10_1101-2021_01_05_425266	66	10	,	,	,
10_1101-2021_01_05_425266	66	11	and	and	CC
10_1101-2021_01_05_425266	66	12	segmentations	segmentation	NNS
10_1101-2021_01_05_425266	66	13	are	be	VBP
10_1101-2021_01_05_425266	66	14	used	use	VBN
10_1101-2021_01_05_425266	66	15	to	to	TO
10_1101-2021_01_05_425266	66	16	derive	derive	VB
10_1101-2021_01_05_425266	66	17	volumetric	volumetric	NN
10_1101-2021_01_05_425266	66	18	parameters	parameter	NNS
10_1101-2021_01_05_425266	66	19	,	,	,
10_1101-2021_01_05_425266	66	20	identify	identify	VB
10_1101-2021_01_05_425266	66	21	a	a	DT
10_1101-2021_01_05_425266	66	22	cardiac	cardiac	JJ
10_1101-2021_01_05_425266	66	23	coordinate	coordinate	NN
10_1101-2021_01_05_425266	66	24	system	system	NN
10_1101-2021_01_05_425266	66	25	for	for	IN
10_1101-2021_01_05_425266	66	26	strain	strain	NN
10_1101-2021_01_05_425266	66	27	analysis	analysis	NN
10_1101-2021_01_05_425266	66	28	,	,	,
10_1101-2021_01_05_425266	66	29	and	and	CC
10_1101-2021_01_05_425266	66	30	generate	generate	VB
10_1101-2021_01_05_425266	66	31	tissue	tissue	NN
10_1101-2021_01_05_425266	66	32	labels	label	NNS
10_1101-2021_01_05_425266	66	33	used	use	VBN
10_1101-2021_01_05_425266	66	34	for	for	IN
10_1101-2021_01_05_425266	66	35	anatomical	anatomical	JJ
10_1101-2021_01_05_425266	66	36	regularization	regularization	NN
10_1101-2021_01_05_425266	66	37	of	of	IN
10_1101-2021_01_05_425266	66	38	the	the	DT
10_1101-2021_01_05_425266	66	39	motion	motion	NN
10_1101-2021_01_05_425266	66	40	estimates	estimate	NNS
10_1101-2021_01_05_425266	66	41	at	at	IN
10_1101-2021_01_05_425266	66	42	training	training	NN
10_1101-2021_01_05_425266	66	43	time	time	NN
10_1101-2021_01_05_425266	66	44	.	.	.
10_1101-2021_01_05_425266	67	1	Let	let	VB
10_1101-2021_01_05_425266	67	2	𝑉-	𝑉-	PRP
10_1101-2021_01_05_425266	67	3	be	be	VB
10_1101-2021_01_05_425266	67	4	a	a	DT
10_1101-2021_01_05_425266	67	5	cine	cine	NN
10_1101-2021_01_05_425266	67	6	-	-	HYPH
10_1101-2021_01_05_425266	67	7	MRI	mri	NN
10_1101-2021_01_05_425266	67	8	frame	frame	NN
10_1101-2021_01_05_425266	67	9	at	at	IN
10_1101-2021_01_05_425266	67	10	time	time	NNP
10_1101-2021_01_05_425266	67	11	t	t	NNP
10_1101-2021_01_05_425266	67	12	defined	define	VBN
10_1101-2021_01_05_425266	67	13	over	over	IN
10_1101-2021_01_05_425266	67	14	a	a	DT
10_1101-2021_01_05_425266	67	15	3D	3d	JJ
10_1101-2021_01_05_425266	67	16	spatial	spatial	JJ
10_1101-2021_01_05_425266	67	17	domain	domain	NN
10_1101-2021_01_05_425266	67	18	𝛺	𝛺	NNP
10_1101-2021_01_05_425266	67	19	⊂	⊂	CD
10_1101-2021_01_05_425266	67	20	ℝ3	ℝ3	CD
10_1101-2021_01_05_425266	67	21	.	.	.
10_1101-2021_01_05_425266	68	1	Using	use	VBG
10_1101-2021_01_05_425266	68	2	a	a	DT
10_1101-2021_01_05_425266	68	3	pair	pair	NN
10_1101-2021_01_05_425266	68	4	of	of	IN
10_1101-2021_01_05_425266	68	5	frames	frame	NNS
10_1101-2021_01_05_425266	68	6	𝑉4,𝑉-	𝑉4,𝑉-	NNPS
10_1101-2021_01_05_425266	68	7	as	as	IN
10_1101-2021_01_05_425266	68	8	an	an	DT
10_1101-2021_01_05_425266	68	9	input	input	NN
10_1101-2021_01_05_425266	68	10	,	,	,
10_1101-2021_01_05_425266	68	11	VCN	VCN	NNP
10_1101-2021_01_05_425266	68	12	centers	center	NNS
10_1101-2021_01_05_425266	68	13	and	and	CC
10_1101-2021_01_05_425266	68	14	crops	crop	VBZ
10_1101-2021_01_05_425266	68	15	the	the	DT
10_1101-2021_01_05_425266	68	16	images	image	NNS
10_1101-2021_01_05_425266	68	17	around	around	IN
10_1101-2021_01_05_425266	68	18	the	the	DT
10_1101-2021_01_05_425266	68	19	center	center	NNP
10_1101-2021_01_05_425266	68	20	of	of	IN
10_1101-2021_01_05_425266	68	21	mass	mass	NN
10_1101-2021_01_05_425266	68	22	of	of	IN
10_1101-2021_01_05_425266	68	23	the	the	DT
10_1101-2021_01_05_425266	68	24	LV	LV	NNP
10_1101-2021_01_05_425266	68	25	,	,	,
10_1101-2021_01_05_425266	68	26	CarSON	CarSON	NNP
10_1101-2021_01_05_425266	68	27	generates	generate	VBZ
10_1101-2021_01_05_425266	68	28	segmentations	segmentation	NNS
10_1101-2021_01_05_425266	68	29	𝑀4,𝑀-	𝑀4,𝑀-	NNP
10_1101-2021_01_05_425266	68	30	of	of	IN
10_1101-2021_01_05_425266	68	31	the	the	DT
10_1101-2021_01_05_425266	68	32	LV	LV	NNP
10_1101-2021_01_05_425266	68	33	,	,	,
10_1101-2021_01_05_425266	68	34	RV	RV	NNP
10_1101-2021_01_05_425266	68	35	,	,	,
10_1101-2021_01_05_425266	68	36	and	and	CC
10_1101-2021_01_05_425266	68	37	LVM	LVM	NNP
10_1101-2021_01_05_425266	68	38	,	,	,
10_1101-2021_01_05_425266	68	39	and	and	CC
10_1101-2021_01_05_425266	68	40	CarMEN	CarMEN	NNP
10_1101-2021_01_05_425266	68	41	estimates	estimate	VBZ
10_1101-2021_01_05_425266	68	42	the	the	DT
10_1101-2021_01_05_425266	68	43	motion	motion	NN
10_1101-2021_01_05_425266	68	44	𝒖-	𝒖-	XX
10_1101-2021_01_05_425266	68	45	of	of	IN
10_1101-2021_01_05_425266	68	46	the	the	DT
10_1101-2021_01_05_425266	68	47	heart	heart	NN
10_1101-2021_01_05_425266	68	48	from	from	IN
10_1101-2021_01_05_425266	68	49	𝑉4	𝑉4	NNP
10_1101-2021_01_05_425266	68	50	to	to	IN
10_1101-2021_01_05_425266	68	51	𝑉-	𝑉-	NNP
10_1101-2021_01_05_425266	68	52	.	.	.
10_1101-2021_01_05_425266	69	1	Thus	thus	RB
10_1101-2021_01_05_425266	69	2	,	,	,
10_1101-2021_01_05_425266	69	3	for	for	IN
10_1101-2021_01_05_425266	69	4	each	each	DT
10_1101-2021_01_05_425266	69	5	voxel	voxel	NNP
10_1101-2021_01_05_425266	69	6	𝑝	𝑝	NNP
10_1101-2021_01_05_425266	69	7	∈	∈	NNP
10_1101-2021_01_05_425266	69	8	𝛺	𝛺	NNP
10_1101-2021_01_05_425266	69	9	,	,	,
10_1101-2021_01_05_425266	69	10	𝒖-	𝒖-	NNP
10_1101-2021_01_05_425266	69	11	𝑝	𝑝	NNP
10_1101-2021_01_05_425266	69	12	is	be	VBZ
10_1101-2021_01_05_425266	69	13	an	an	DT
10_1101-2021_01_05_425266	69	14	approximation	approximation	NN
10_1101-2021_01_05_425266	69	15	of	of	IN
10_1101-2021_01_05_425266	69	16	the	the	DT
10_1101-2021_01_05_425266	69	17	myocardial	myocardial	JJ
10_1101-2021_01_05_425266	69	18	displacement	displacement	NN
10_1101-2021_01_05_425266	69	19	during	during	IN
10_1101-2021_01_05_425266	69	20	contraction	contraction	NN
10_1101-2021_01_05_425266	69	21	such	such	JJ
10_1101-2021_01_05_425266	69	22	that	that	DT
10_1101-2021_01_05_425266	69	23	𝑉4(𝑝	𝑉4(𝑝	NN
10_1101-2021_01_05_425266	69	24	)	)	-RRB-
10_1101-2021_01_05_425266	69	25	and	and	CC
10_1101-2021_01_05_425266	69	26	(	(	-LRB-
10_1101-2021_01_05_425266	69	27	𝒖-	𝒖-	XX
10_1101-2021_01_05_425266	69	28	∘	∘	NNP
10_1101-2021_01_05_425266	69	29	𝑉-)(𝑝	𝑉-)(𝑝	NN
10_1101-2021_01_05_425266	69	30	)	)	-RRB-
10_1101-2021_01_05_425266	69	31	correspond	correspond	VB
10_1101-2021_01_05_425266	69	32	to	to	IN
10_1101-2021_01_05_425266	69	33	similar	similar	JJ
10_1101-2021_01_05_425266	69	34	cardiac	cardiac	JJ
10_1101-2021_01_05_425266	69	35	regions	region	NNS
10_1101-2021_01_05_425266	69	36	.	.	.
10_1101-2021_01_05_425266	70	1	The	the	DT
10_1101-2021_01_05_425266	70	2	operator	operator	NN
10_1101-2021_01_05_425266	70	3	∘	∘	NN
10_1101-2021_01_05_425266	70	4	refers	refer	VBZ
10_1101-2021_01_05_425266	70	5	to	to	IN
10_1101-2021_01_05_425266	70	6	application	application	NN
10_1101-2021_01_05_425266	70	7	of	of	IN
10_1101-2021_01_05_425266	70	8	a	a	DT
10_1101-2021_01_05_425266	70	9	spatial	spatial	JJ
10_1101-2021_01_05_425266	70	10	transform	transform	NN
10_1101-2021_01_05_425266	70	11	to	to	IN
10_1101-2021_01_05_425266	70	12	𝑉-	𝑉-	NNP
10_1101-2021_01_05_425266	70	13	using	use	VBG
10_1101-2021_01_05_425266	70	14	𝒖-	𝒖-	XX
10_1101-2021_01_05_425266	70	15	via	via	IN
10_1101-2021_01_05_425266	70	16	trilinear	trilinear	NN
10_1101-2021_01_05_425266	70	17	interpolation	interpolation	NN
10_1101-2021_01_05_425266	70	18	[	[	-LRB-
10_1101-2021_01_05_425266	70	19	34	34	CD
10_1101-2021_01_05_425266	70	20	]	]	-RRB-
10_1101-2021_01_05_425266	70	21	.	.	.
10_1101-2021_01_05_425266	71	1	1	1	LS
10_1101-2021_01_05_425266	71	2	)	)	-RRB-
10_1101-2021_01_05_425266	71	3	Architectures	architecture	NNS
10_1101-2021_01_05_425266	71	4	All	all	DT
10_1101-2021_01_05_425266	71	5	networks	network	NNS
10_1101-2021_01_05_425266	71	6	have	have	VBP
10_1101-2021_01_05_425266	71	7	a	a	DT
10_1101-2021_01_05_425266	71	8	common	common	JJ
10_1101-2021_01_05_425266	71	9	encoder	encoder	NN
10_1101-2021_01_05_425266	71	10	-	-	HYPH
10_1101-2021_01_05_425266	71	11	decoder	decoder	NN
10_1101-2021_01_05_425266	71	12	architecture	architecture	NN
10_1101-2021_01_05_425266	71	13	consisting	consist	VBG
10_1101-2021_01_05_425266	71	14	primarily	primarily	RB
10_1101-2021_01_05_425266	71	15	of	of	IN
10_1101-2021_01_05_425266	71	16	convolution	convolution	NN
10_1101-2021_01_05_425266	71	17	,	,	,
10_1101-2021_01_05_425266	71	18	batch	batch	NN
10_1101-2021_01_05_425266	71	19	normalization	normalization	NN
10_1101-2021_01_05_425266	71	20	[	[	-LRB-
10_1101-2021_01_05_425266	71	21	35	35	CD
10_1101-2021_01_05_425266	71	22	]	]	-RRB-
10_1101-2021_01_05_425266	71	23	,	,	,
10_1101-2021_01_05_425266	71	24	and	and	CC
10_1101-2021_01_05_425266	71	25	PReLU	prelu	VB
10_1101-2021_01_05_425266	71	26	[	[	-LRB-
10_1101-2021_01_05_425266	71	27	36	36	CD
10_1101-2021_01_05_425266	71	28	]	]	-RRB-
10_1101-2021_01_05_425266	71	29	layers	layer	NNS
10_1101-2021_01_05_425266	71	30	with	with	IN
10_1101-2021_01_05_425266	71	31	residual	residual	JJ
10_1101-2021_01_05_425266	71	32	connections	connection	NNS
10_1101-2021_01_05_425266	71	33	[	[	-LRB-
10_1101-2021_01_05_425266	71	34	37	37	CD
10_1101-2021_01_05_425266	71	35	]	]	-RRB-
10_1101-2021_01_05_425266	71	36	(	(	-LRB-
10_1101-2021_01_05_425266	71	37	see	see	VB
10_1101-2021_01_05_425266	71	38	supplementary	supplementary	JJ
10_1101-2021_01_05_425266	71	39	section	section	NNP
10_1101-2021_01_05_425266	71	40	S2	S2	NNP
10_1101-2021_01_05_425266	71	41	)	)	-RRB-
10_1101-2021_01_05_425266	71	42	.	.	.
10_1101-2021_01_05_425266	72	1	Briefly	briefly	RB
10_1101-2021_01_05_425266	72	2	,	,	,
10_1101-2021_01_05_425266	72	3	VCN	VCN	NNP
10_1101-2021_01_05_425266	72	4	is	be	VBZ
10_1101-2021_01_05_425266	72	5	a	a	DT
10_1101-2021_01_05_425266	72	6	3D	3d	JJ
10_1101-2021_01_05_425266	72	7	architecture	architecture	NN
10_1101-2021_01_05_425266	72	8	that	that	WDT
10_1101-2021_01_05_425266	72	9	uses	use	VBZ
10_1101-2021_01_05_425266	72	10	a	a	DT
10_1101-2021_01_05_425266	72	11	single	single	JJ
10_1101-2021_01_05_425266	72	12	-	-	HYPH
10_1101-2021_01_05_425266	72	13	channel	channel	NN
10_1101-2021_01_05_425266	72	14	array	array	NN
10_1101-2021_01_05_425266	72	15	𝑉	𝑉	NNP
10_1101-2021_01_05_425266	72	16	with	with	IN
10_1101-2021_01_05_425266	72	17	size	size	NN
10_1101-2021_01_05_425266	72	18	256×256×16	256×256×16	CD
10_1101-2021_01_05_425266	72	19	to	to	TO
10_1101-2021_01_05_425266	72	20	generate	generate	VB
10_1101-2021_01_05_425266	72	21	a	a	DT
10_1101-2021_01_05_425266	72	22	single	single	JJ
10_1101-2021_01_05_425266	72	23	-	-	HYPH
10_1101-2021_01_05_425266	72	24	channel	channel	NN
10_1101-2021_01_05_425266	72	25	array	array	NN
10_1101-2021_01_05_425266	72	26	𝐺<=	𝐺<=	NNP
10_1101-2021_01_05_425266	72	27	>	>	XX
10_1101-2021_01_05_425266	72	28	?	?	.
10_1101-2021_01_05_425266	73	1	of	of	IN
10_1101-2021_01_05_425266	73	2	equal	equal	JJ
10_1101-2021_01_05_425266	73	3	size	size	NN
10_1101-2021_01_05_425266	73	4	,	,	,
10_1101-2021_01_05_425266	73	5	where	where	WRB
10_1101-2021_01_05_425266	73	6	𝐺<=	𝐺<=	NNP
10_1101-2021_01_05_425266	73	7	>	>	XX
10_1101-2021_01_05_425266	73	8	?	?	.
10_1101-2021_01_05_425266	74	1	corresponds	correspond	NNS
10_1101-2021_01_05_425266	74	2	to	to	IN
10_1101-2021_01_05_425266	74	3	a	a	DT
10_1101-2021_01_05_425266	74	4	Gaussian	gaussian	JJ
10_1101-2021_01_05_425266	74	5	distribution	distribution	NN
10_1101-2021_01_05_425266	74	6	with	with	IN
10_1101-2021_01_05_425266	74	7	mean	mean	NN
10_1101-2021_01_05_425266	74	8	defined	define	VBN
10_1101-2021_01_05_425266	74	9	as	as	IN
10_1101-2021_01_05_425266	74	10	the	the	DT
10_1101-2021_01_05_425266	74	11	LVM	LVM	NNP
10_1101-2021_01_05_425266	74	12	center	center	NN
10_1101-2021_01_05_425266	74	13	of	of	IN
10_1101-2021_01_05_425266	74	14	mass	mass	NNP
10_1101-2021_01_05_425266	74	15	.	.	.
10_1101-2021_01_05_425266	75	1	V	V	NNP
10_1101-2021_01_05_425266	75	2	is	be	VBZ
10_1101-2021_01_05_425266	75	3	centered	center	VBN
10_1101-2021_01_05_425266	75	4	and	and	CC
10_1101-2021_01_05_425266	75	5	cropped	crop	VBN
10_1101-2021_01_05_425266	75	6	around	around	IN
10_1101-2021_01_05_425266	75	7	the	the	DT
10_1101-2021_01_05_425266	75	8	voxel	voxel	NN
10_1101-2021_01_05_425266	75	9	with	with	IN
10_1101-2021_01_05_425266	75	10	the	the	DT
10_1101-2021_01_05_425266	75	11	highest	high	JJS
10_1101-2021_01_05_425266	75	12	value	value	NN
10_1101-2021_01_05_425266	75	13	in	in	IN
10_1101-2021_01_05_425266	75	14	𝐺<=	𝐺<=	NNP
10_1101-2021_01_05_425266	75	15	>	>	XX
10_1101-2021_01_05_425266	75	16	?	?	.
10_1101-2021_01_05_425266	76	1	to	to	TO
10_1101-2021_01_05_425266	76	2	generate	generate	VB
10_1101-2021_01_05_425266	76	3	a	a	DT
10_1101-2021_01_05_425266	76	4	new	new	JJ
10_1101-2021_01_05_425266	76	5	cropped	crop	VBN
10_1101-2021_01_05_425266	76	6	array	array	NN
10_1101-2021_01_05_425266	76	7	of	of	IN
10_1101-2021_01_05_425266	76	8	size	size	NN
10_1101-2021_01_05_425266	76	9	128×128×16	128×128×16	NN
10_1101-2021_01_05_425266	76	10	,	,	,
10_1101-2021_01_05_425266	76	11	which	which	WDT
10_1101-2021_01_05_425266	76	12	is	be	VBZ
10_1101-2021_01_05_425266	76	13	then	then	RB
10_1101-2021_01_05_425266	76	14	the	the	DT
10_1101-2021_01_05_425266	76	15	input	input	NN
10_1101-2021_01_05_425266	76	16	to	to	IN
10_1101-2021_01_05_425266	76	17	segmentation	segmentation	NN
10_1101-2021_01_05_425266	76	18	and	and	CC
10_1101-2021_01_05_425266	76	19	motion	motion	NN
10_1101-2021_01_05_425266	76	20	estimation	estimation	NN
10_1101-2021_01_05_425266	76	21	networks	network	NNS
10_1101-2021_01_05_425266	76	22	.	.	.
10_1101-2021_01_05_425266	77	1	CarSON	CarSON	NNP
10_1101-2021_01_05_425266	77	2	is	be	VBZ
10_1101-2021_01_05_425266	77	3	a	a	DT
10_1101-2021_01_05_425266	77	4	two	two	CD
10_1101-2021_01_05_425266	77	5	-	-	HYPH
10_1101-2021_01_05_425266	77	6	dimensional	dimensional	JJ
10_1101-2021_01_05_425266	77	7	(	(	-LRB-
10_1101-2021_01_05_425266	77	8	2D	2d	NN
10_1101-2021_01_05_425266	77	9	)	)	-RRB-
10_1101-2021_01_05_425266	77	10	architecture	architecture	NN
10_1101-2021_01_05_425266	77	11	that	that	WDT
10_1101-2021_01_05_425266	77	12	uses	use	VBZ
10_1101-2021_01_05_425266	77	13	images	image	NNS
10_1101-2021_01_05_425266	77	14	of	of	IN
10_1101-2021_01_05_425266	77	15	size	size	NN
10_1101-2021_01_05_425266	77	16	128×128	128×128	CD
10_1101-2021_01_05_425266	77	17	to	to	TO
10_1101-2021_01_05_425266	77	18	generate	generate	VB
10_1101-2021_01_05_425266	77	19	a	a	DT
10_1101-2021_01_05_425266	77	20	4-channel	4-channel	CD
10_1101-2021_01_05_425266	77	21	segmentation	segmentation	NN
10_1101-2021_01_05_425266	77	22	𝑀<=	𝑀<=	NNS
10_1101-2021_01_05_425266	77	23	>	>	XX
10_1101-2021_01_05_425266	77	24	?	?	.
10_1101-2021_01_05_425266	78	1	of	of	IN
10_1101-2021_01_05_425266	78	2	equal	equal	JJ
10_1101-2021_01_05_425266	78	3	size	size	NN
10_1101-2021_01_05_425266	78	4	,	,	,
10_1101-2021_01_05_425266	78	5	each	each	DT
10_1101-2021_01_05_425266	78	6	channel	channel	NN
10_1101-2021_01_05_425266	78	7	corresponding	correspond	VBG
10_1101-2021_01_05_425266	78	8	to	to	IN
10_1101-2021_01_05_425266	78	9	a	a	DT
10_1101-2021_01_05_425266	78	10	label	label	NN
10_1101-2021_01_05_425266	78	11	.	.	.
10_1101-2021_01_05_425266	79	1	CarMEN	CarMEN	NNP
10_1101-2021_01_05_425266	79	2	uses	use	VBZ
10_1101-2021_01_05_425266	79	3	a	a	DT
10_1101-2021_01_05_425266	79	4	2-	2-	NNP
10_1101-2021_01_05_425266	79	5	channel	channel	NN
10_1101-2021_01_05_425266	79	6	input	input	NN
10_1101-2021_01_05_425266	79	7	volume	volume	NN
10_1101-2021_01_05_425266	79	8	,	,	,
10_1101-2021_01_05_425266	79	9	consisting	consist	VBG
10_1101-2021_01_05_425266	79	10	of	of	IN
10_1101-2021_01_05_425266	79	11	two	two	CD
10_1101-2021_01_05_425266	79	12	concatenated	concatenate	VBN
10_1101-2021_01_05_425266	79	13	arrays	array	NNS
10_1101-2021_01_05_425266	79	14	with	with	IN
10_1101-2021_01_05_425266	79	15	size	size	NN
10_1101-2021_01_05_425266	79	16	128×128×16	128×128×16	NN
10_1101-2021_01_05_425266	79	17	,	,	,
10_1101-2021_01_05_425266	79	18	to	to	TO
10_1101-2021_01_05_425266	79	19	generate	generate	VB
10_1101-2021_01_05_425266	79	20	a	a	DT
10_1101-2021_01_05_425266	79	21	3-chanel	3-chanel	CD
10_1101-2021_01_05_425266	79	22	array	array	NN
10_1101-2021_01_05_425266	79	23	𝒖	𝒖	NN
10_1101-2021_01_05_425266	79	24	of	of	IN
10_1101-2021_01_05_425266	79	25	equal	equal	JJ
10_1101-2021_01_05_425266	79	26	size	size	NN
10_1101-2021_01_05_425266	79	27	.	.	.
10_1101-2021_01_05_425266	80	1	Each	each	DT
10_1101-2021_01_05_425266	80	2	channel	channel	NN
10_1101-2021_01_05_425266	80	3	in	in	IN
10_1101-2021_01_05_425266	80	4	𝒖	𝒖	NN
10_1101-2021_01_05_425266	80	5	represents	represent	VBZ
10_1101-2021_01_05_425266	80	6	the	the	DT
10_1101-2021_01_05_425266	80	7	𝑥	𝑥	NNP
10_1101-2021_01_05_425266	80	8	,	,	,
10_1101-2021_01_05_425266	80	9	𝑦	𝑦	NNP
10_1101-2021_01_05_425266	80	10	and	and	CC
10_1101-2021_01_05_425266	80	11	𝑧	𝑧	NNP
10_1101-2021_01_05_425266	80	12	components	component	NNS
10_1101-2021_01_05_425266	80	13	of	of	IN
10_1101-2021_01_05_425266	80	14	motion	motion	NN
10_1101-2021_01_05_425266	80	15	.	.	.
10_1101-2021_01_05_425266	81	1	2	2	LS
10_1101-2021_01_05_425266	81	2	)	)	-RRB-
10_1101-2021_01_05_425266	81	3	Loss	Loss	NNP
10_1101-2021_01_05_425266	81	4	Functions	Functions	NNP
10_1101-2021_01_05_425266	81	5	VCN	VCN	NNP
10_1101-2021_01_05_425266	81	6	was	be	VBD
10_1101-2021_01_05_425266	81	7	evaluated	evaluate	VBN
10_1101-2021_01_05_425266	81	8	using	use	VBG
10_1101-2021_01_05_425266	81	9	the	the	DT
10_1101-2021_01_05_425266	81	10	mean	mean	JJ
10_1101-2021_01_05_425266	81	11	square	square	NN
10_1101-2021_01_05_425266	81	12	error	error	NN
10_1101-2021_01_05_425266	81	13	ℒDEF	ℒDEF	NNP
10_1101-2021_01_05_425266	81	14	𝐺G-,𝐺<=	𝐺G-,𝐺<=	,
10_1101-2021_01_05_425266	81	15	>	>	XX
10_1101-2021_01_05_425266	81	16	?	?	.
10_1101-2021_01_05_425266	82	1	=	=	NFP
10_1101-2021_01_05_425266	82	2	H	h	NN
10_1101-2021_01_05_425266	82	3	|J|	|J|	NFP
10_1101-2021_01_05_425266	82	4	𝐺(𝑝	𝐺(𝑝	NN
10_1101-2021_01_05_425266	82	5	)	)	-RRB-
10_1101-2021_01_05_425266	82	6	−	−	NNP
10_1101-2021_01_05_425266	82	7	𝐺<=	𝐺<=	NNP
10_1101-2021_01_05_425266	82	8	>	>	XX
10_1101-2021_01_05_425266	82	9	?	?	.
10_1101-2021_01_05_425266	83	1	𝑝	𝑝	NNP
10_1101-2021_01_05_425266	83	2	L	L	NNP
10_1101-2021_01_05_425266	83	3	<	<	XX
10_1101-2021_01_05_425266	83	4	∈J	∈J	NNP
10_1101-2021_01_05_425266	83	5	.	.	.
10_1101-2021_01_05_425266	84	1	(	(	-LRB-
10_1101-2021_01_05_425266	84	2	2	2	LS
10_1101-2021_01_05_425266	84	3	)	)	-RRB-
10_1101-2021_01_05_425266	84	4	For	for	IN
10_1101-2021_01_05_425266	84	5	CarSON	CarSON	NNP
10_1101-2021_01_05_425266	84	6	,	,	,
10_1101-2021_01_05_425266	84	7	we	-PRON-	PRP
10_1101-2021_01_05_425266	84	8	implemented	implement	VBD
10_1101-2021_01_05_425266	84	9	a	a	DT
10_1101-2021_01_05_425266	84	10	multi	multi	JJ
10_1101-2021_01_05_425266	84	11	-	-	JJ
10_1101-2021_01_05_425266	84	12	class	class	JJ
10_1101-2021_01_05_425266	84	13	Dice	Dice	NNP
10_1101-2021_01_05_425266	84	14	coefficient	coefficient	NN
10_1101-2021_01_05_425266	84	15	function	function	NN
10_1101-2021_01_05_425266	84	16	ℒN	ℒN	NNP
10_1101-2021_01_05_425266	84	17	>	>	FW
10_1101-2021_01_05_425266	84	18	G	g	NN
10_1101-2021_01_05_425266	84	19	𝑀G-,𝑀<=	𝑀g-,𝑀<=	ADD
10_1101-2021_01_05_425266	84	20	>	>	XX
10_1101-2021_01_05_425266	84	21	?	?	.
10_1101-2021_01_05_425266	85	1	=	=	NFP
10_1101-2021_01_05_425266	85	2	−	−	NNP
10_1101-2021_01_05_425266	85	3	H	h	NN
10_1101-2021_01_05_425266	85	4	O	o	NN
10_1101-2021_01_05_425266	85	5	2	2	CD
10_1101-2021_01_05_425266	85	6	<	<	XX
10_1101-2021_01_05_425266	85	7	PQ	pq	NN
10_1101-2021_01_05_425266	85	8	R	r	NN
10_1101-2021_01_05_425266	85	9	∩<TUVW	∩<tuvw	NN
10_1101-2021_01_05_425266	85	10	R	r	NN
10_1101-2021_01_05_425266	85	11	<	<	XX
10_1101-2021_01_05_425266	85	12	PQ	pq	NN
10_1101-2021_01_05_425266	85	13	R	r	NN
10_1101-2021_01_05_425266	85	14	X	x	NN
10_1101-2021_01_05_425266	85	15	<	<	XX
10_1101-2021_01_05_425266	85	16	TUVW	tuvw	NN
10_1101-2021_01_05_425266	85	17	R	r	NN
10_1101-2021_01_05_425266	85	18	Y	y	NN
10_1101-2021_01_05_425266	85	19	Z[H	z[h	CD
10_1101-2021_01_05_425266	85	20	,	,	,
10_1101-2021_01_05_425266	85	21	(	(	-LRB-
10_1101-2021_01_05_425266	85	22	3	3	LS
10_1101-2021_01_05_425266	85	23	)	)	-RRB-
10_1101-2021_01_05_425266	85	24	where	where	WRB
10_1101-2021_01_05_425266	85	25	𝑘	𝑘	DT
10_1101-2021_01_05_425266	85	26	∈	∈	VBP
10_1101-2021_01_05_425266	85	27	[	[	-LRB-
10_1101-2021_01_05_425266	85	28	1,4	1,4	CD
10_1101-2021_01_05_425266	85	29	]	]	-RRB-
10_1101-2021_01_05_425266	85	30	represents	represent	VBZ
10_1101-2021_01_05_425266	85	31	each	each	DT
10_1101-2021_01_05_425266	85	32	of	of	IN
10_1101-2021_01_05_425266	85	33	the	the	DT
10_1101-2021_01_05_425266	85	34	tissue	tissue	NN
10_1101-2021_01_05_425266	85	35	labels	label	NNS
10_1101-2021_01_05_425266	85	36	,	,	,
10_1101-2021_01_05_425266	85	37	and	and	CC
10_1101-2021_01_05_425266	85	38	𝑝Z	𝑝Z	NNP
10_1101-2021_01_05_425266	85	39	∈	∈	NNP
10_1101-2021_01_05_425266	85	40	𝑀	𝑀	NNP
10_1101-2021_01_05_425266	85	41	denotes	denote	VBZ
10_1101-2021_01_05_425266	85	42	all	all	PDT
10_1101-2021_01_05_425266	85	43	the	the	DT
10_1101-2021_01_05_425266	85	44	pixels	pixel	NNS
10_1101-2021_01_05_425266	85	45	with	with	IN
10_1101-2021_01_05_425266	85	46	label	label	NNP
10_1101-2021_01_05_425266	85	47	𝑘.	𝑘.	NNP
10_1101-2021_01_05_425266	86	1	A	a	DT
10_1101-2021_01_05_425266	86	2	combination	combination	NN
10_1101-2021_01_05_425266	86	3	of	of	IN
10_1101-2021_01_05_425266	86	4	three	three	CD
10_1101-2021_01_05_425266	86	5	functions	function	NNS
10_1101-2021_01_05_425266	86	6	was	be	VBD
10_1101-2021_01_05_425266	86	7	used	use	VBN
10_1101-2021_01_05_425266	86	8	for	for	IN
10_1101-2021_01_05_425266	86	9	motion	motion	NN
10_1101-2021_01_05_425266	86	10	estimation	estimation	NN
10_1101-2021_01_05_425266	86	11	.	.	.
10_1101-2021_01_05_425266	87	1	First	first	RB
10_1101-2021_01_05_425266	87	2	,	,	,
10_1101-2021_01_05_425266	87	3	we	-PRON-	PRP
10_1101-2021_01_05_425266	87	4	used	use	VBD
10_1101-2021_01_05_425266	87	5	an	an	DT
10_1101-2021_01_05_425266	87	6	unsupervised	unsupervised	JJ
10_1101-2021_01_05_425266	87	7	loss	loss	NN
10_1101-2021_01_05_425266	87	8	function	function	NN
10_1101-2021_01_05_425266	87	9	ℒab->bNa	ℒab->bNa	NNP
10_1101-2021_01_05_425266	87	10	-	-	HYPH
10_1101-2021_01_05_425266	87	11	c	c	NNP
10_1101-2021_01_05_425266	87	12	that	that	WDT
10_1101-2021_01_05_425266	87	13	evaluates	evaluate	VBZ
10_1101-2021_01_05_425266	87	14	CarMEN	CarMEN	NNP
10_1101-2021_01_05_425266	87	15	using	use	VBG
10_1101-2021_01_05_425266	87	16	the	the	DT
10_1101-2021_01_05_425266	87	17	input	input	NN
10_1101-2021_01_05_425266	87	18	volumes	volume	NNS
10_1101-2021_01_05_425266	87	19	and	and	CC
10_1101-2021_01_05_425266	87	20	generated	generate	VBD
10_1101-2021_01_05_425266	87	21	motion	motion	NN
10_1101-2021_01_05_425266	87	22	estimates	estimate	VBZ
10_1101-2021_01_05_425266	87	23	ℒab->bNa	ℒab->bNa	NNP
10_1101-2021_01_05_425266	87	24	-	-	HYPH
10_1101-2021_01_05_425266	87	25	c	c	NN
10_1101-2021_01_05_425266	87	26	𝑉4,𝑉-,𝑢-	𝑉4,𝑉-,𝑢-	NN
10_1101-2021_01_05_425266	87	27	=	=	SYM
10_1101-2021_01_05_425266	87	28	H	H	NNP
10_1101-2021_01_05_425266	87	29	J	J	NNP
10_1101-2021_01_05_425266	87	30	𝑉4	𝑉4	NNP
10_1101-2021_01_05_425266	87	31	𝑝	𝑝	NNP
10_1101-2021_01_05_425266	87	32	−	−	NNP
10_1101-2021_01_05_425266	87	33	(	(	-LRB-
10_1101-2021_01_05_425266	87	34	𝑢-	𝑢-	NN
10_1101-2021_01_05_425266	87	35	∘	∘	NN
10_1101-2021_01_05_425266	87	36	𝑉-	𝑉-	NNP
10_1101-2021_01_05_425266	87	37	𝑝<∈J	𝑝<∈J	NNP
10_1101-2021_01_05_425266	87	38	.	.	.
10_1101-2021_01_05_425266	88	1	(	(	-LRB-
10_1101-2021_01_05_425266	88	2	4	4	LS
10_1101-2021_01_05_425266	88	3	)	)	-RRB-
10_1101-2021_01_05_425266	88	4	Second	second	RB
10_1101-2021_01_05_425266	88	5	,	,	,
10_1101-2021_01_05_425266	88	6	we	-PRON-	PRP
10_1101-2021_01_05_425266	88	7	used	use	VBD
10_1101-2021_01_05_425266	88	8	a	a	DT
10_1101-2021_01_05_425266	88	9	supervised	supervised	JJ
10_1101-2021_01_05_425266	88	10	function	function	NN
10_1101-2021_01_05_425266	88	11	ℒebe	ℒebe	NNP
10_1101-2021_01_05_425266	88	12	-	-	HYPH
10_1101-2021_01_05_425266	88	13	fgahei	fgahei	NN
10_1101-2021_01_05_425266	88	14	that	that	WDT
10_1101-2021_01_05_425266	88	15	leverages	leverage	VBZ
10_1101-2021_01_05_425266	88	16	segmentations	segmentation	NNS
10_1101-2021_01_05_425266	88	17	of	of	IN
10_1101-2021_01_05_425266	88	18	the	the	DT
10_1101-2021_01_05_425266	88	19	input	input	NN
10_1101-2021_01_05_425266	88	20	volumes	volume	NNS
10_1101-2021_01_05_425266	88	21	at	at	IN
10_1101-2021_01_05_425266	88	22	training	training	NN
10_1101-2021_01_05_425266	88	23	time	time	NN
10_1101-2021_01_05_425266	88	24	to	to	TO
10_1101-2021_01_05_425266	88	25	impose	impose	VB
10_1101-2021_01_05_425266	88	26	an	an	DT
10_1101-2021_01_05_425266	88	27	anatomical	anatomical	JJ
10_1101-2021_01_05_425266	88	28	constrain	constrain	NN
10_1101-2021_01_05_425266	88	29	on	on	IN
10_1101-2021_01_05_425266	88	30	the	the	DT
10_1101-2021_01_05_425266	88	31	estimates	estimate	NNS
10_1101-2021_01_05_425266	88	32	Fig	Fig	NNP
10_1101-2021_01_05_425266	88	33	.	.	.
10_1101-2021_01_05_425266	89	1	1	1	LS
10_1101-2021_01_05_425266	89	2	.	.	.
10_1101-2021_01_05_425266	90	1	Overview	overview	NN
10_1101-2021_01_05_425266	90	2	of	of	IN
10_1101-2021_01_05_425266	90	3	proposed	propose	VBN
10_1101-2021_01_05_425266	90	4	DeepStrain	DeepStrain	NNP
10_1101-2021_01_05_425266	90	5	workflow	workflow	NN
10_1101-2021_01_05_425266	90	6	.	.	.
10_1101-2021_01_05_425266	91	1	VCN	VCN	NNP
10_1101-2021_01_05_425266	91	2	centers	center	NNS
10_1101-2021_01_05_425266	91	3	and	and	CC
10_1101-2021_01_05_425266	91	4	crops	crop	VBZ
10_1101-2021_01_05_425266	91	5	the	the	DT
10_1101-2021_01_05_425266	91	6	input	input	JJ
10_1101-2021_01_05_425266	91	7	pair	pair	NN
10_1101-2021_01_05_425266	91	8	of	of	IN
10_1101-2021_01_05_425266	91	9	cine	cine	NN
10_1101-2021_01_05_425266	91	10	-	-	HYPH
10_1101-2021_01_05_425266	91	11	MRI	mri	NN
10_1101-2021_01_05_425266	91	12	frames	frame	NNS
10_1101-2021_01_05_425266	91	13	.	.	.
10_1101-2021_01_05_425266	92	1	Tissue	tissue	NN
10_1101-2021_01_05_425266	92	2	labels	label	NNS
10_1101-2021_01_05_425266	92	3	generated	generate	VBN
10_1101-2021_01_05_425266	92	4	by	by	IN
10_1101-2021_01_05_425266	92	5	CarSON	CarSON	NNP
10_1101-2021_01_05_425266	92	6	are	be	VBP
10_1101-2021_01_05_425266	92	7	used	use	VBN
10_1101-2021_01_05_425266	92	8	to	to	TO
10_1101-2021_01_05_425266	92	9	build	build	VB
10_1101-2021_01_05_425266	92	10	an	an	DT
10_1101-2021_01_05_425266	92	11	anatomical	anatomical	JJ
10_1101-2021_01_05_425266	92	12	model	model	NN
10_1101-2021_01_05_425266	92	13	.	.	.
10_1101-2021_01_05_425266	93	1	Motion	motion	NN
10_1101-2021_01_05_425266	93	2	estimates	estimate	NNS
10_1101-2021_01_05_425266	93	3	derived	derive	VBN
10_1101-2021_01_05_425266	93	4	from	from	IN
10_1101-2021_01_05_425266	93	5	CarMEN	CarMEN	NNP
10_1101-2021_01_05_425266	93	6	are	be	VBP
10_1101-2021_01_05_425266	93	7	used	use	VBN
10_1101-2021_01_05_425266	93	8	to	to	TO
10_1101-2021_01_05_425266	93	9	calculate	calculate	VB
10_1101-2021_01_05_425266	93	10	strain	strain	NN
10_1101-2021_01_05_425266	93	11	measures	measure	NNS
10_1101-2021_01_05_425266	93	12	,	,	,
10_1101-2021_01_05_425266	93	13	and	and	CC
10_1101-2021_01_05_425266	93	14	these	these	DT
10_1101-2021_01_05_425266	93	15	estimates	estimate	NNS
10_1101-2021_01_05_425266	93	16	are	be	VBP
10_1101-2021_01_05_425266	93	17	combined	combine	VBN
10_1101-2021_01_05_425266	93	18	with	with	IN
10_1101-2021_01_05_425266	93	19	the	the	DT
10_1101-2021_01_05_425266	93	20	anatomical	anatomical	JJ
10_1101-2021_01_05_425266	93	21	model	model	NN
10_1101-2021_01_05_425266	93	22	to	to	TO
10_1101-2021_01_05_425266	93	23	enable	enable	VB
10_1101-2021_01_05_425266	93	24	global	global	JJ
10_1101-2021_01_05_425266	93	25	and	and	CC
10_1101-2021_01_05_425266	93	26	regional	regional	JJ
10_1101-2021_01_05_425266	93	27	strain	strain	NN
10_1101-2021_01_05_425266	93	28	analyses	analysis	NNS
10_1101-2021_01_05_425266	93	29	.	.	.
10_1101-2021_01_05_425266	94	1	.CC	.CC	NFP
10_1101-2021_01_05_425266	94	2	-	-	:
10_1101-2021_01_05_425266	94	3	BY	by	IN
10_1101-2021_01_05_425266	94	4	-	-	HYPH
10_1101-2021_01_05_425266	94	5	NC	NC	NNP
10_1101-2021_01_05_425266	94	6	-	-	HYPH
10_1101-2021_01_05_425266	94	7	ND	ND	NNP
10_1101-2021_01_05_425266	94	8	4.0	4.0	CD
10_1101-2021_01_05_425266	94	9	International	International	NNP
10_1101-2021_01_05_425266	94	10	licenseavailable	licenseavailable	NN
10_1101-2021_01_05_425266	94	11	under	under	IN
10_1101-2021_01_05_425266	94	12	a	a	DT
10_1101-2021_01_05_425266	94	13	(	(	-LRB-
10_1101-2021_01_05_425266	94	14	which	which	WDT
10_1101-2021_01_05_425266	94	15	was	be	VBD
10_1101-2021_01_05_425266	94	16	not	not	RB
10_1101-2021_01_05_425266	94	17	certified	certify	VBN
10_1101-2021_01_05_425266	94	18	by	by	IN
10_1101-2021_01_05_425266	94	19	peer	peer	NN
10_1101-2021_01_05_425266	94	20	review	review	NN
10_1101-2021_01_05_425266	94	21	)	)	-RRB-
10_1101-2021_01_05_425266	94	22	is	be	VBZ
10_1101-2021_01_05_425266	94	23	the	the	DT
10_1101-2021_01_05_425266	94	24	author	author	NN
10_1101-2021_01_05_425266	94	25	/	/	SYM
10_1101-2021_01_05_425266	94	26	funder	funder	NN
10_1101-2021_01_05_425266	94	27	,	,	,
10_1101-2021_01_05_425266	94	28	who	who	WP
10_1101-2021_01_05_425266	94	29	has	have	VBZ
10_1101-2021_01_05_425266	94	30	granted	grant	VBN
10_1101-2021_01_05_425266	94	31	bioRxiv	biorxiv	IN
10_1101-2021_01_05_425266	94	32	a	a	DT
10_1101-2021_01_05_425266	94	33	license	license	NN
10_1101-2021_01_05_425266	94	34	to	to	TO
10_1101-2021_01_05_425266	94	35	display	display	VB
10_1101-2021_01_05_425266	94	36	the	the	DT
10_1101-2021_01_05_425266	94	37	preprint	preprint	NN
10_1101-2021_01_05_425266	94	38	in	in	IN
10_1101-2021_01_05_425266	94	39	perpetuity	perpetuity	NN
10_1101-2021_01_05_425266	94	40	.	.	.
10_1101-2021_01_05_425266	95	1	It	-PRON-	PRP
10_1101-2021_01_05_425266	95	2	is	be	VBZ
10_1101-2021_01_05_425266	95	3	made	make	VBN
10_1101-2021_01_05_425266	95	4	The	the	DT
10_1101-2021_01_05_425266	95	5	copyright	copyright	NN
10_1101-2021_01_05_425266	95	6	holder	holder	NN
10_1101-2021_01_05_425266	95	7	for	for	IN
10_1101-2021_01_05_425266	95	8	this	this	DT
10_1101-2021_01_05_425266	95	9	preprintthis	preprintthis	NN
10_1101-2021_01_05_425266	95	10	version	version	NN
10_1101-2021_01_05_425266	95	11	posted	post	VBD
10_1101-2021_01_05_425266	95	12	January	January	NNP
10_1101-2021_01_05_425266	95	13	7	7	CD
10_1101-2021_01_05_425266	95	14	,	,	,
10_1101-2021_01_05_425266	95	15	2021	2021	CD
10_1101-2021_01_05_425266	95	16	.	.	.
10_1101-2021_01_05_425266	95	17	;	;	:
10_1101-2021_01_05_425266	95	18	https://doi.org/10.1101/2021.01.05.425266doi	https://doi.org/10.1101/2021.01.05.425266doi	NNP
10_1101-2021_01_05_425266	95	19	:	:	:
10_1101-2021_01_05_425266	95	20	bioRxiv	biorxiv	IN
10_1101-2021_01_05_425266	95	21	preprint	preprint	NN
10_1101-2021_01_05_425266	95	22	https://doi.org/10.1101/2021.01.05.425266	https://doi.org/10.1101/2021.01.05.425266	NN
10_1101-2021_01_05_425266	95	23	http://creativecommons.org/licenses/by-nc-nd/4.0/	http://creativecommons.org/licenses/by-nc-nd/4.0/	JJ
10_1101-2021_01_05_425266	95	24	ℒebe	ℒebe	NNP
10_1101-2021_01_05_425266	95	25	-	-	HYPH
10_1101-2021_01_05_425266	95	26	fgahei	fgahei	NN
10_1101-2021_01_05_425266	95	27	𝑀4,𝑀-,𝑢-	𝑀4,𝑀-,𝑢-	HYPH
10_1101-2021_01_05_425266	95	28	=	=	NFP
10_1101-2021_01_05_425266	95	29	ℒN	ℒN	NNP
10_1101-2021_01_05_425266	95	30	>	>	FW
10_1101-2021_01_05_425266	95	31	G	G	NNP
10_1101-2021_01_05_425266	95	32	𝑀4,𝑢-	𝑀4,𝑢-	NNP
10_1101-2021_01_05_425266	95	33	∘	∘	NNP
10_1101-2021_01_05_425266	95	34	𝑀-	𝑀-	NNP
10_1101-2021_01_05_425266	95	35	.	.	.
10_1101-2021_01_05_425266	96	1	(	(	-LRB-
10_1101-2021_01_05_425266	96	2	5	5	LS
10_1101-2021_01_05_425266	96	3	)	)	-RRB-
10_1101-2021_01_05_425266	96	4	Third	third	JJ
10_1101-2021_01_05_425266	96	5	,	,	,
10_1101-2021_01_05_425266	96	6	smooth	smooth	JJ
10_1101-2021_01_05_425266	96	7	estimates	estimate	NNS
10_1101-2021_01_05_425266	96	8	were	be	VBD
10_1101-2021_01_05_425266	96	9	encouraged	encourage	VBN
10_1101-2021_01_05_425266	96	10	by	by	IN
10_1101-2021_01_05_425266	96	11	using	use	VBG
10_1101-2021_01_05_425266	96	12	a	a	DT
10_1101-2021_01_05_425266	96	13	diffusion	diffusion	NN
10_1101-2021_01_05_425266	96	14	regularizer	regularizer	NNP
10_1101-2021_01_05_425266	96	15	ℒNgff	ℒNgff	NNP
10_1101-2021_01_05_425266	96	16	-	-	HYPH
10_1101-2021_01_05_425266	96	17	jb	jb	NNP
10_1101-2021_01_05_425266	96	18	>	>	XX
10_1101-2021_01_05_425266	96	19	NN(𝑢-	NN(𝑢-	NNP
10_1101-2021_01_05_425266	96	20	)	)	-RRB-
10_1101-2021_01_05_425266	96	21	=	=	NFP
10_1101-2021_01_05_425266	96	22	𝛻𝑢-	𝛻𝑢-	NNP
10_1101-2021_01_05_425266	96	23	𝑝	𝑝	NNP
10_1101-2021_01_05_425266	96	24	⋅	⋅	NNP
10_1101-2021_01_05_425266	96	25	𝑑𝑟	𝑑𝑟	NNP
10_1101-2021_01_05_425266	96	26	L<∈J	L<∈J	NNP
10_1101-2021_01_05_425266	96	27	(	(	-LRB-
10_1101-2021_01_05_425266	96	28	6	6	CD
10_1101-2021_01_05_425266	96	29	)	)	-RRB-
10_1101-2021_01_05_425266	96	30	where	where	WRB
10_1101-2021_01_05_425266	96	31	𝑑𝑟	𝑑𝑟	NNP
10_1101-2021_01_05_425266	96	32	is	be	VBZ
10_1101-2021_01_05_425266	96	33	the	the	DT
10_1101-2021_01_05_425266	96	34	spatial	spatial	JJ
10_1101-2021_01_05_425266	96	35	resolution	resolution	NN
10_1101-2021_01_05_425266	96	36	of	of	IN
10_1101-2021_01_05_425266	96	37	𝑉	𝑉	NNP
10_1101-2021_01_05_425266	96	38	and	and	CC
10_1101-2021_01_05_425266	96	39	accounts	account	VBZ
10_1101-2021_01_05_425266	96	40	for	for	IN
10_1101-2021_01_05_425266	96	41	differences	difference	NNS
10_1101-2021_01_05_425266	96	42	between	between	IN
10_1101-2021_01_05_425266	96	43	in	in	IN
10_1101-2021_01_05_425266	96	44	-	-	HYPH
10_1101-2021_01_05_425266	96	45	plane	plane	NN
10_1101-2021_01_05_425266	96	46	and	and	CC
10_1101-2021_01_05_425266	96	47	slice	slice	NN
10_1101-2021_01_05_425266	96	48	resolution	resolution	NN
10_1101-2021_01_05_425266	96	49	.	.	.
10_1101-2021_01_05_425266	97	1	Thus	thus	RB
10_1101-2021_01_05_425266	97	2	,	,	,
10_1101-2021_01_05_425266	97	3	the	the	DT
10_1101-2021_01_05_425266	97	4	loss	loss	NN
10_1101-2021_01_05_425266	97	5	function	function	NN
10_1101-2021_01_05_425266	97	6	for	for	IN
10_1101-2021_01_05_425266	97	7	CarMEN	CarMEN	NNP
10_1101-2021_01_05_425266	97	8	is	be	VBZ
10_1101-2021_01_05_425266	97	9	a	a	DT
10_1101-2021_01_05_425266	97	10	linear	linear	JJ
10_1101-2021_01_05_425266	97	11	combination	combination	NN
10_1101-2021_01_05_425266	97	12	of	of	IN
10_1101-2021_01_05_425266	97	13	(	(	-LRB-
10_1101-2021_01_05_425266	97	14	4	4	CD
10_1101-2021_01_05_425266	97	15	)	)	-RRB-
10_1101-2021_01_05_425266	97	16	,	,	,
10_1101-2021_01_05_425266	97	17	(	(	-LRB-
10_1101-2021_01_05_425266	97	18	5	5	CD
10_1101-2021_01_05_425266	97	19	)	)	-RRB-
10_1101-2021_01_05_425266	97	20	,	,	,
10_1101-2021_01_05_425266	97	21	and	and	CC
10_1101-2021_01_05_425266	97	22	(	(	-LRB-
10_1101-2021_01_05_425266	97	23	6	6	CD
10_1101-2021_01_05_425266	97	24	)	)	-RRB-
10_1101-2021_01_05_425266	97	25	,	,	,
10_1101-2021_01_05_425266	97	26	weighted	weight	VBN
10_1101-2021_01_05_425266	97	27	by	by	IN
10_1101-2021_01_05_425266	97	28	𝜆a	𝜆a	NNP
10_1101-2021_01_05_425266	97	29	,	,	,
10_1101-2021_01_05_425266	97	30	𝜆e,𝜆N	𝜆e,𝜆N	NNP
10_1101-2021_01_05_425266	97	31	,	,	,
10_1101-2021_01_05_425266	97	32	accordingly	accordingly	RB
10_1101-2021_01_05_425266	97	33	.	.	.
10_1101-2021_01_05_425266	98	1	We	-PRON-	PRP
10_1101-2021_01_05_425266	98	2	conducted	conduct	VBD
10_1101-2021_01_05_425266	98	3	optimization	optimization	NN
10_1101-2021_01_05_425266	98	4	experiments	experiment	NNS
10_1101-2021_01_05_425266	98	5	using	use	VBG
10_1101-2021_01_05_425266	98	6	synthetic	synthetic	JJ
10_1101-2021_01_05_425266	98	7	data	datum	NNS
10_1101-2021_01_05_425266	98	8	[	[	-LRB-
10_1101-2021_01_05_425266	98	9	38	38	CD
10_1101-2021_01_05_425266	98	10	]	]	-RRB-
10_1101-2021_01_05_425266	98	11	,	,	,
10_1101-2021_01_05_425266	98	12	[	[	-LRB-
10_1101-2021_01_05_425266	98	13	39	39	CD
10_1101-2021_01_05_425266	98	14	]	]	-RRB-
10_1101-2021_01_05_425266	98	15	to	to	TO
10_1101-2021_01_05_425266	98	16	assess	assess	VB
10_1101-2021_01_05_425266	98	17	the	the	DT
10_1101-2021_01_05_425266	98	18	impact	impact	NN
10_1101-2021_01_05_425266	98	19	of	of	IN
10_1101-2021_01_05_425266	98	20	smoothing	smoothing	JJ
10_1101-2021_01_05_425266	98	21	and	and	CC
10_1101-2021_01_05_425266	98	22	anatomical	anatomical	JJ
10_1101-2021_01_05_425266	98	23	regularization	regularization	NN
10_1101-2021_01_05_425266	98	24	on	on	IN
10_1101-2021_01_05_425266	98	25	motion	motion	NN
10_1101-2021_01_05_425266	98	26	and	and	CC
10_1101-2021_01_05_425266	98	27	strain	strain	NN
10_1101-2021_01_05_425266	98	28	estimates	estimate	NNS
10_1101-2021_01_05_425266	98	29	(	(	-LRB-
10_1101-2021_01_05_425266	98	30	supplementary	supplementary	JJ
10_1101-2021_01_05_425266	98	31	section	section	NN
10_1101-2021_01_05_425266	98	32	S3	S3	NNP
10_1101-2021_01_05_425266	98	33	)	)	-RRB-
10_1101-2021_01_05_425266	98	34	.	.	.
10_1101-2021_01_05_425266	99	1	These	these	DT
10_1101-2021_01_05_425266	99	2	experiments	experiment	NNS
10_1101-2021_01_05_425266	99	3	showed	show	VBD
10_1101-2021_01_05_425266	99	4	smoothness	smoothness	JJ
10_1101-2021_01_05_425266	99	5	improves	improve	VBZ
10_1101-2021_01_05_425266	99	6	the	the	DT
10_1101-2021_01_05_425266	99	7	accuracy	accuracy	NN
10_1101-2021_01_05_425266	99	8	of	of	IN
10_1101-2021_01_05_425266	99	9	the	the	DT
10_1101-2021_01_05_425266	99	10	motion	motion	NN
10_1101-2021_01_05_425266	99	11	vectors	vector	NNS
10_1101-2021_01_05_425266	99	12	direction	direction	NN
10_1101-2021_01_05_425266	99	13	,	,	,
10_1101-2021_01_05_425266	99	14	and	and	CC
10_1101-2021_01_05_425266	99	15	anatomical	anatomical	JJ
10_1101-2021_01_05_425266	99	16	regularization	regularization	NN
10_1101-2021_01_05_425266	99	17	improves	improve	VBZ
10_1101-2021_01_05_425266	99	18	the	the	DT
10_1101-2021_01_05_425266	99	19	magnitude	magnitude	NN
10_1101-2021_01_05_425266	99	20	of	of	IN
10_1101-2021_01_05_425266	99	21	the	the	DT
10_1101-2021_01_05_425266	99	22	vectors	vector	NNS
10_1101-2021_01_05_425266	99	23	relative	relative	JJ
10_1101-2021_01_05_425266	99	24	to	to	IN
10_1101-2021_01_05_425266	99	25	the	the	DT
10_1101-2021_01_05_425266	99	26	ground	ground	NN
10_1101-2021_01_05_425266	99	27	-	-	HYPH
10_1101-2021_01_05_425266	99	28	truth	truth	NN
10_1101-2021_01_05_425266	99	29	motion	motion	NN
10_1101-2021_01_05_425266	99	30	(	(	-LRB-
10_1101-2021_01_05_425266	99	31	see	see	VB
10_1101-2021_01_05_425266	99	32	supplementary	supplementary	JJ
10_1101-2021_01_05_425266	99	33	Fig	Fig	NNP
10_1101-2021_01_05_425266	99	34	.	.	.
10_1101-2021_01_05_425266	100	1	S1	S1	NNP
10_1101-2021_01_05_425266	100	2	and	and	CC
10_1101-2021_01_05_425266	100	3	S2	S2	NNP
10_1101-2021_01_05_425266	100	4	)	)	-RRB-
10_1101-2021_01_05_425266	100	5	.	.	.
10_1101-2021_01_05_425266	101	1	The	the	DT
10_1101-2021_01_05_425266	101	2	optimal	optimal	JJ
10_1101-2021_01_05_425266	101	3	values	value	NNS
10_1101-2021_01_05_425266	101	4	𝜆a	𝜆a	IN
10_1101-2021_01_05_425266	101	5	=	=	NNS
10_1101-2021_01_05_425266	101	6	0.01	0.01	CD
10_1101-2021_01_05_425266	101	7	,	,	,
10_1101-2021_01_05_425266	101	8	𝜆e	𝜆e	NNP
10_1101-2021_01_05_425266	101	9	=	=	SYM
10_1101-2021_01_05_425266	101	10	0.5,𝜆N	0.5,𝜆N	.
10_1101-2021_01_05_425266	101	11	=	=	SYM
10_1101-2021_01_05_425266	101	12	0.1	0.1	CD
10_1101-2021_01_05_425266	101	13	were	be	VBD
10_1101-2021_01_05_425266	101	14	used	use	VBN
10_1101-2021_01_05_425266	101	15	to	to	TO
10_1101-2021_01_05_425266	101	16	train	train	VB
10_1101-2021_01_05_425266	101	17	CarMEN	CarMEN	NNP
10_1101-2021_01_05_425266	101	18	.	.	.
10_1101-2021_01_05_425266	102	1	3	3	LS
10_1101-2021_01_05_425266	102	2	)	)	-RRB-
10_1101-2021_01_05_425266	102	3	Training	training	NN
10_1101-2021_01_05_425266	102	4	and	and	CC
10_1101-2021_01_05_425266	102	5	Testing	Testing	NNP
10_1101-2021_01_05_425266	102	6	Networks	Networks	NNPS
10_1101-2021_01_05_425266	102	7	were	be	VBD
10_1101-2021_01_05_425266	102	8	trained	train	VBN
10_1101-2021_01_05_425266	102	9	in	in	IN
10_1101-2021_01_05_425266	102	10	TensorFlow	TensorFlow	NNP
10_1101-2021_01_05_425266	102	11	ver	ver	RB
10_1101-2021_01_05_425266	102	12	.	.	.
10_1101-2021_01_05_425266	103	1	2.0	2.0	CD
10_1101-2021_01_05_425266	103	2	with	with	IN
10_1101-2021_01_05_425266	103	3	Adam	Adam	NNP
10_1101-2021_01_05_425266	103	4	optimizer	optimizer	NN
10_1101-2021_01_05_425266	103	5	parameters	parameter	VBZ
10_1101-2021_01_05_425266	103	6	beta1,2	beta1,2	.
10_1101-2021_01_05_425266	103	7	=	=	SYM
10_1101-2021_01_05_425266	103	8	0.9,0.999	0.9,0.999	NNP
10_1101-2021_01_05_425266	103	9	,	,	,
10_1101-2021_01_05_425266	103	10	batchsize	batchsize	NNP
10_1101-2021_01_05_425266	103	11	=	=	SYM
10_1101-2021_01_05_425266	103	12	80	80	CD
10_1101-2021_01_05_425266	103	13	(	(	-LRB-
10_1101-2021_01_05_425266	103	14	5	5	CD
10_1101-2021_01_05_425266	103	15	for	for	IN
10_1101-2021_01_05_425266	103	16	CarMEN	CarMEN	NNP
10_1101-2021_01_05_425266	103	17	)	)	-RRB-
10_1101-2021_01_05_425266	103	18	,	,	,
10_1101-2021_01_05_425266	103	19	and	and	CC
10_1101-2021_01_05_425266	103	20	epochs	epoch	NNS
10_1101-2021_01_05_425266	103	21	=	=	SYM
10_1101-2021_01_05_425266	103	22	1000	1000	CD
10_1101-2021_01_05_425266	103	23	(	(	-LRB-
10_1101-2021_01_05_425266	103	24	300	300	CD
10_1101-2021_01_05_425266	103	25	for	for	IN
10_1101-2021_01_05_425266	103	26	CarMEN	CarMEN	NNP
10_1101-2021_01_05_425266	103	27	)	)	-RRB-
10_1101-2021_01_05_425266	103	28	.	.	.
10_1101-2021_01_05_425266	104	1	Ground	ground	NN
10_1101-2021_01_05_425266	104	2	-	-	HYPH
10_1101-2021_01_05_425266	104	3	truth	truth	NN
10_1101-2021_01_05_425266	104	4	distributions	distribution	NNS
10_1101-2021_01_05_425266	104	5	for	for	IN
10_1101-2021_01_05_425266	104	6	VCN	VCN	NNP
10_1101-2021_01_05_425266	104	7	were	be	VBD
10_1101-2021_01_05_425266	104	8	created	create	VBN
10_1101-2021_01_05_425266	104	9	using	use	VBG
10_1101-2021_01_05_425266	104	10	the	the	DT
10_1101-2021_01_05_425266	104	11	manual	manual	JJ
10_1101-2021_01_05_425266	104	12	segmentations	segmentation	NNS
10_1101-2021_01_05_425266	104	13	.	.	.
10_1101-2021_01_05_425266	105	1	VCN	VCN	NNP
10_1101-2021_01_05_425266	105	2	and	and	CC
10_1101-2021_01_05_425266	105	3	CarSON	CarSON	NNP
10_1101-2021_01_05_425266	105	4	were	be	VBD
10_1101-2021_01_05_425266	105	5	trained	train	VBN
10_1101-2021_01_05_425266	105	6	using	use	VBG
10_1101-2021_01_05_425266	105	7	the	the	DT
10_1101-2021_01_05_425266	105	8	end-	end-	NN
10_1101-2021_01_05_425266	105	9	diastolic	diastolic	NN
10_1101-2021_01_05_425266	105	10	and	and	CC
10_1101-2021_01_05_425266	105	11	end	end	NN
10_1101-2021_01_05_425266	105	12	-	-	HYPH
10_1101-2021_01_05_425266	105	13	systolic	systolic	JJ
10_1101-2021_01_05_425266	105	14	frames	frame	NNS
10_1101-2021_01_05_425266	105	15	of	of	IN
10_1101-2021_01_05_425266	105	16	the	the	DT
10_1101-2021_01_05_425266	105	17	train	train	NN
10_1101-2021_01_05_425266	105	18	set	set	NN
10_1101-2021_01_05_425266	105	19	,	,	,
10_1101-2021_01_05_425266	105	20	as	as	IN
10_1101-2021_01_05_425266	105	21	only	only	RB
10_1101-2021_01_05_425266	105	22	these	these	DT
10_1101-2021_01_05_425266	105	23	included	include	VBN
10_1101-2021_01_05_425266	105	24	ground	ground	NN
10_1101-2021_01_05_425266	105	25	-	-	HYPH
10_1101-2021_01_05_425266	105	26	truth	truth	NN
10_1101-2021_01_05_425266	105	27	segmentations	segmentation	NNS
10_1101-2021_01_05_425266	105	28	.	.	.
10_1101-2021_01_05_425266	106	1	This	this	DT
10_1101-2021_01_05_425266	106	2	provided	provide	VBD
10_1101-2021_01_05_425266	106	3	200	200	CD
10_1101-2021_01_05_425266	106	4	training	training	NN
10_1101-2021_01_05_425266	106	5	samples	sample	NNS
10_1101-2021_01_05_425266	106	6	for	for	IN
10_1101-2021_01_05_425266	106	7	VCN	VCN	NNP
10_1101-2021_01_05_425266	106	8	and	and	CC
10_1101-2021_01_05_425266	106	9	3200	3200	CD
10_1101-2021_01_05_425266	106	10	for	for	IN
10_1101-2021_01_05_425266	106	11	CarSON	CarSON	NNP
10_1101-2021_01_05_425266	106	12	,	,	,
10_1101-2021_01_05_425266	106	13	the	the	DT
10_1101-2021_01_05_425266	106	14	latter	latter	JJ
10_1101-2021_01_05_425266	106	15	having	have	VBG
10_1101-2021_01_05_425266	106	16	more	more	JJR
10_1101-2021_01_05_425266	106	17	samples	sample	NNS
10_1101-2021_01_05_425266	106	18	since	since	IN
10_1101-2021_01_05_425266	106	19	it	-PRON-	PRP
10_1101-2021_01_05_425266	106	20	is	be	VBZ
10_1101-2021_01_05_425266	106	21	a	a	DT
10_1101-2021_01_05_425266	106	22	2D	2d	JJ
10_1101-2021_01_05_425266	106	23	architecture	architecture	NN
10_1101-2021_01_05_425266	106	24	and	and	CC
10_1101-2021_01_05_425266	106	25	all	all	DT
10_1101-2021_01_05_425266	106	26	frames	frame	NNS
10_1101-2021_01_05_425266	106	27	were	be	VBD
10_1101-2021_01_05_425266	106	28	resampled	resample	VBN
10_1101-2021_01_05_425266	106	29	to	to	IN
10_1101-2021_01_05_425266	106	30	a	a	DT
10_1101-2021_01_05_425266	106	31	volume	volume	NN
10_1101-2021_01_05_425266	106	32	with	with	IN
10_1101-2021_01_05_425266	106	33	16	16	CD
10_1101-2021_01_05_425266	106	34	slices	slice	NNS
10_1101-2021_01_05_425266	106	35	.	.	.
10_1101-2021_01_05_425266	107	1	VCN	VCN	NNP
10_1101-2021_01_05_425266	107	2	was	be	VBD
10_1101-2021_01_05_425266	107	3	tested	test	VBN
10_1101-2021_01_05_425266	107	4	by	by	IN
10_1101-2021_01_05_425266	107	5	five	five	CD
10_1101-2021_01_05_425266	107	6	-	-	HYPH
10_1101-2021_01_05_425266	107	7	fold	fold	JJ
10_1101-2021_01_05_425266	107	8	cross	cross	NN
10_1101-2021_01_05_425266	107	9	-	-	NN
10_1101-2021_01_05_425266	107	10	validation	validation	NN
10_1101-2021_01_05_425266	107	11	,	,	,
10_1101-2021_01_05_425266	107	12	whereas	whereas	IN
10_1101-2021_01_05_425266	107	13	the	the	DT
10_1101-2021_01_05_425266	107	14	accuracy	accuracy	NN
10_1101-2021_01_05_425266	107	15	of	of	IN
10_1101-2021_01_05_425266	107	16	CarSON	CarSON	NNP
10_1101-2021_01_05_425266	107	17	was	be	VBD
10_1101-2021_01_05_425266	107	18	assessed	assess	VBN
10_1101-2021_01_05_425266	107	19	by	by	IN
10_1101-2021_01_05_425266	107	20	submitting	submit	VBG
10_1101-2021_01_05_425266	107	21	the	the	DT
10_1101-2021_01_05_425266	107	22	results	result	NNS
10_1101-2021_01_05_425266	107	23	to	to	IN
10_1101-2021_01_05_425266	107	24	the	the	DT
10_1101-2021_01_05_425266	107	25	challenge	challenge	NN
10_1101-2021_01_05_425266	107	26	website	website	NN
10_1101-2021_01_05_425266	107	27	.	.	.
10_1101-2021_01_05_425266	108	1	Once	once	IN
10_1101-2021_01_05_425266	108	2	CarSON	CarSON	NNP
10_1101-2021_01_05_425266	108	3	was	be	VBD
10_1101-2021_01_05_425266	108	4	trained	train	VBN
10_1101-2021_01_05_425266	108	5	,	,	,
10_1101-2021_01_05_425266	108	6	we	-PRON-	PRP
10_1101-2021_01_05_425266	108	7	generated	generate	VBD
10_1101-2021_01_05_425266	108	8	segmentations	segmentation	NNS
10_1101-2021_01_05_425266	108	9	of	of	IN
10_1101-2021_01_05_425266	108	10	the	the	DT
10_1101-2021_01_05_425266	108	11	test	test	NN
10_1101-2021_01_05_425266	108	12	set	set	VBN
10_1101-2021_01_05_425266	108	13	to	to	TO
10_1101-2021_01_05_425266	108	14	train	train	VB
10_1101-2021_01_05_425266	108	15	CarMEN	CarMEN	NNP
10_1101-2021_01_05_425266	108	16	using	use	VBG
10_1101-2021_01_05_425266	108	17	the	the	DT
10_1101-2021_01_05_425266	108	18	entire	entire	JJ
10_1101-2021_01_05_425266	108	19	ACDC	ACDC	NNP
10_1101-2021_01_05_425266	108	20	dataset	dataset	NN
10_1101-2021_01_05_425266	108	21	.	.	.
10_1101-2021_01_05_425266	109	1	Only	only	RB
10_1101-2021_01_05_425266	109	2	the	the	DT
10_1101-2021_01_05_425266	109	3	[	[	-LRB-
10_1101-2021_01_05_425266	109	4	end	end	NN
10_1101-2021_01_05_425266	109	5	-	-	HYPH
10_1101-2021_01_05_425266	109	6	diastolic	diastolic	NN
10_1101-2021_01_05_425266	109	7	,	,	,
10_1101-2021_01_05_425266	109	8	end	end	NN
10_1101-2021_01_05_425266	109	9	-	-	HYPH
10_1101-2021_01_05_425266	109	10	diastolic	diastolic	NN
10_1101-2021_01_05_425266	109	11	]	]	-RRB-
10_1101-2021_01_05_425266	109	12	and	and	CC
10_1101-2021_01_05_425266	109	13	[	[	-LRB-
10_1101-2021_01_05_425266	109	14	end	end	NN
10_1101-2021_01_05_425266	109	15	-	-	HYPH
10_1101-2021_01_05_425266	109	16	diastolic	diastolic	NN
10_1101-2021_01_05_425266	109	17	,	,	,
10_1101-2021_01_05_425266	109	18	end-	end-	NNP
10_1101-2021_01_05_425266	109	19	systolic	systolic	NNP
10_1101-2021_01_05_425266	109	20	]	]	-RRB-
10_1101-2021_01_05_425266	109	21	pairs	pair	NNS
10_1101-2021_01_05_425266	109	22	were	be	VBD
10_1101-2021_01_05_425266	109	23	used	use	VBN
10_1101-2021_01_05_425266	109	24	.	.	.
10_1101-2021_01_05_425266	110	1	The	the	DT
10_1101-2021_01_05_425266	110	2	former	former	JJ
10_1101-2021_01_05_425266	110	3	is	be	VBZ
10_1101-2021_01_05_425266	110	4	essential	essential	JJ
10_1101-2021_01_05_425266	110	5	for	for	IN
10_1101-2021_01_05_425266	110	6	the	the	DT
10_1101-2021_01_05_425266	110	7	network	network	NN
10_1101-2021_01_05_425266	110	8	to	to	TO
10_1101-2021_01_05_425266	110	9	adequately	adequately	RB
10_1101-2021_01_05_425266	110	10	learn	learn	VB
10_1101-2021_01_05_425266	110	11	how	how	WRB
10_1101-2021_01_05_425266	110	12	to	to	TO
10_1101-2021_01_05_425266	110	13	scale	scale	VB
10_1101-2021_01_05_425266	110	14	the	the	DT
10_1101-2021_01_05_425266	110	15	motion	motion	NN
10_1101-2021_01_05_425266	110	16	vectors	vector	NNS
10_1101-2021_01_05_425266	110	17	,	,	,
10_1101-2021_01_05_425266	110	18	i.e.	i.e.	FW
10_1101-2021_01_05_425266	110	19	,	,	,
10_1101-2021_01_05_425266	110	20	motion	motion	NN
10_1101-2021_01_05_425266	110	21	should	should	MD
10_1101-2021_01_05_425266	110	22	be	be	VB
10_1101-2021_01_05_425266	110	23	exactly	exactly	RB
10_1101-2021_01_05_425266	110	24	zero	zero	CD
10_1101-2021_01_05_425266	110	25	if	if	IN
10_1101-2021_01_05_425266	110	26	the	the	DT
10_1101-2021_01_05_425266	110	27	frames	frame	NNS
10_1101-2021_01_05_425266	110	28	are	be	VBP
10_1101-2021_01_05_425266	110	29	equal	equal	JJ
10_1101-2021_01_05_425266	110	30	.	.	.
10_1101-2021_01_05_425266	111	1	The	the	DT
10_1101-2021_01_05_425266	111	2	entire	entire	JJ
10_1101-2021_01_05_425266	111	3	cycle	cycle	NN
10_1101-2021_01_05_425266	111	4	is	be	VBZ
10_1101-2021_01_05_425266	111	5	analyzed	analyze	VBN
10_1101-2021_01_05_425266	111	6	at	at	IN
10_1101-2021_01_05_425266	111	7	testing	testing	NN
10_1101-2021_01_05_425266	111	8	time	time	NN
10_1101-2021_01_05_425266	111	9	by	by	IN
10_1101-2021_01_05_425266	111	10	using	use	VBG
10_1101-2021_01_05_425266	111	11	sequential	sequential	JJ
10_1101-2021_01_05_425266	111	12	input	input	NN
10_1101-2021_01_05_425266	111	13	pairs	pair	NNS
10_1101-2021_01_05_425266	111	14	[	[	-LRB-
10_1101-2021_01_05_425266	111	15	𝑉4	𝑉4	NNP
10_1101-2021_01_05_425266	111	16	,	,	,
10_1101-2021_01_05_425266	111	17	•	•	VBP
10_1101-2021_01_05_425266	111	18	]	]	-RRB-
10_1101-2021_01_05_425266	111	19	that	that	WDT
10_1101-2021_01_05_425266	111	20	kept	keep	VBD
10_1101-2021_01_05_425266	111	21	the	the	DT
10_1101-2021_01_05_425266	111	22	end	end	JJ
10_1101-2021_01_05_425266	111	23	-	-	HYPH
10_1101-2021_01_05_425266	111	24	diastolic	diastolic	NN
10_1101-2021_01_05_425266	111	25	frame	frame	NN
10_1101-2021_01_05_425266	111	26	constant	constant	JJ
10_1101-2021_01_05_425266	111	27	while	while	IN
10_1101-2021_01_05_425266	111	28	we	-PRON-	PRP
10_1101-2021_01_05_425266	111	29	varied	vary	VBD
10_1101-2021_01_05_425266	111	30	𝑉-	𝑉-	NNS
10_1101-2021_01_05_425266	111	31	for	for	IN
10_1101-2021_01_05_425266	111	32	all	all	DT
10_1101-2021_01_05_425266	111	33	time	time	NN
10_1101-2021_01_05_425266	111	34	frames	frame	NNS
10_1101-2021_01_05_425266	111	35	t	t	NNP
10_1101-2021_01_05_425266	111	36	>	>	XX
10_1101-2021_01_05_425266	111	37	0	0	CD
10_1101-2021_01_05_425266	111	38	.	.	.
10_1101-2021_01_05_425266	112	1	Using	use	VBG
10_1101-2021_01_05_425266	112	2	this	this	DT
10_1101-2021_01_05_425266	112	3	approach	approach	NN
10_1101-2021_01_05_425266	112	4	𝒖-	𝒖-	NN
10_1101-2021_01_05_425266	112	5	was	be	VBD
10_1101-2021_01_05_425266	112	6	derived	derive	VBN
10_1101-2021_01_05_425266	112	7	for	for	IN
10_1101-2021_01_05_425266	112	8	all	all	DT
10_1101-2021_01_05_425266	112	9	times	time	NNS
10_1101-2021_01_05_425266	112	10	.	.	.
10_1101-2021_01_05_425266	113	1	Data	datum	NNS
10_1101-2021_01_05_425266	113	2	augmentation	augmentation	NN
10_1101-2021_01_05_425266	113	3	included	include	VBD
10_1101-2021_01_05_425266	113	4	random	random	JJ
10_1101-2021_01_05_425266	113	5	rotations	rotation	NNS
10_1101-2021_01_05_425266	113	6	and	and	CC
10_1101-2021_01_05_425266	113	7	translations	translation	NNS
10_1101-2021_01_05_425266	113	8	,	,	,
10_1101-2021_01_05_425266	113	9	random	random	JJ
10_1101-2021_01_05_425266	113	10	mirroring	mirroring	NN
10_1101-2021_01_05_425266	113	11	along	along	IN
10_1101-2021_01_05_425266	113	12	the	the	DT
10_1101-2021_01_05_425266	113	13	x	x	NNP
10_1101-2021_01_05_425266	113	14	and	and	CC
10_1101-2021_01_05_425266	113	15	y	y	NNP
10_1101-2021_01_05_425266	113	16	axes	axis	NNS
10_1101-2021_01_05_425266	113	17	,	,	,
10_1101-2021_01_05_425266	113	18	and	and	CC
10_1101-2021_01_05_425266	113	19	gamma	gamma	NN
10_1101-2021_01_05_425266	113	20	contrast	contrast	NN
10_1101-2021_01_05_425266	113	21	correction	correction	NN
10_1101-2021_01_05_425266	113	22	.	.	.
10_1101-2021_01_05_425266	114	1	All	all	DT
10_1101-2021_01_05_425266	114	2	data	datum	NNS
10_1101-2021_01_05_425266	114	3	augmentation	augmentation	NN
10_1101-2021_01_05_425266	114	4	was	be	VBD
10_1101-2021_01_05_425266	114	5	performed	perform	VBN
10_1101-2021_01_05_425266	114	6	only	only	RB
10_1101-2021_01_05_425266	114	7	in	in	IN
10_1101-2021_01_05_425266	114	8	the	the	DT
10_1101-2021_01_05_425266	114	9	x	x	NNP
10_1101-2021_01_05_425266	114	10	-	-	NNP
10_1101-2021_01_05_425266	114	11	y	y	NNP
10_1101-2021_01_05_425266	114	12	plane	plane	NN
10_1101-2021_01_05_425266	114	13	.	.	.
10_1101-2021_01_05_425266	115	1	D.	D.	NNP
10_1101-2021_01_05_425266	115	2	Evaluation	Evaluation	NNP
10_1101-2021_01_05_425266	115	3	1	1	CD
10_1101-2021_01_05_425266	115	4	)	)	-RRB-
10_1101-2021_01_05_425266	115	5	Segmentation	segmentation	NN
10_1101-2021_01_05_425266	115	6	and	and	CC
10_1101-2021_01_05_425266	115	7	Motion	Motion	NNP
10_1101-2021_01_05_425266	115	8	Estimation	Estimation	NNP
10_1101-2021_01_05_425266	115	9	CarSON	CarSON	NNP
10_1101-2021_01_05_425266	115	10	and	and	CC
10_1101-2021_01_05_425266	115	11	manual	manual	JJ
10_1101-2021_01_05_425266	115	12	segmentations	segmentation	NNS
10_1101-2021_01_05_425266	115	13	were	be	VBD
10_1101-2021_01_05_425266	115	14	compared	compare	VBN
10_1101-2021_01_05_425266	115	15	using	use	VBG
10_1101-2021_01_05_425266	115	16	the	the	DT
10_1101-2021_01_05_425266	115	17	Hausdorff	Hausdorff	NNP
10_1101-2021_01_05_425266	115	18	distance	distance	NN
10_1101-2021_01_05_425266	115	19	(	(	-LRB-
10_1101-2021_01_05_425266	115	20	HD	hd	NN
10_1101-2021_01_05_425266	115	21	)	)	-RRB-
10_1101-2021_01_05_425266	115	22	and	and	CC
10_1101-2021_01_05_425266	115	23	Dice	Dice	NNP
10_1101-2021_01_05_425266	115	24	Similarity	Similarity	NNP
10_1101-2021_01_05_425266	115	25	Coefficient	Coefficient	NNP
10_1101-2021_01_05_425266	115	26	(	(	-LRB-
10_1101-2021_01_05_425266	115	27	DSC	DSC	NNP
10_1101-2021_01_05_425266	115	28	)	)	-RRB-
10_1101-2021_01_05_425266	115	29	metrics	metric	NNS
10_1101-2021_01_05_425266	115	30	at	at	IN
10_1101-2021_01_05_425266	115	31	both	both	DT
10_1101-2021_01_05_425266	115	32	end	end	NN
10_1101-2021_01_05_425266	115	33	-	-	HYPH
10_1101-2021_01_05_425266	115	34	diastole	diastole	NN
10_1101-2021_01_05_425266	115	35	and	and	CC
10_1101-2021_01_05_425266	115	36	end	end	NN
10_1101-2021_01_05_425266	115	37	-	-	HYPH
10_1101-2021_01_05_425266	115	38	systole	systole	NN
10_1101-2021_01_05_425266	115	39	.	.	.
10_1101-2021_01_05_425266	116	1	Accuracy	accuracy	NN
10_1101-2021_01_05_425266	116	2	of	of	IN
10_1101-2021_01_05_425266	116	3	LV	LV	NNP
10_1101-2021_01_05_425266	116	4	volumetric	volumetric	NN
10_1101-2021_01_05_425266	116	5	measures	measure	NNS
10_1101-2021_01_05_425266	116	6	derived	derive	VBN
10_1101-2021_01_05_425266	116	7	from	from	IN
10_1101-2021_01_05_425266	116	8	segmentations	segmentation	NNS
10_1101-2021_01_05_425266	116	9	,	,	,
10_1101-2021_01_05_425266	116	10	including	include	VBG
10_1101-2021_01_05_425266	116	11	end	end	NN
10_1101-2021_01_05_425266	116	12	-	-	HYPH
10_1101-2021_01_05_425266	116	13	diastolic	diastolic	NN
10_1101-2021_01_05_425266	116	14	volume	volume	NN
10_1101-2021_01_05_425266	116	15	(	(	-LRB-
10_1101-2021_01_05_425266	116	16	EDV	EDV	NNP
10_1101-2021_01_05_425266	116	17	)	)	-RRB-
10_1101-2021_01_05_425266	116	18	,	,	,
10_1101-2021_01_05_425266	116	19	EF	EF	NNP
10_1101-2021_01_05_425266	116	20	,	,	,
10_1101-2021_01_05_425266	116	21	and	and	CC
10_1101-2021_01_05_425266	116	22	LVM	LVM	NNP
10_1101-2021_01_05_425266	116	23	,	,	,
10_1101-2021_01_05_425266	116	24	was	be	VBD
10_1101-2021_01_05_425266	116	25	assessed	assess	VBN
10_1101-2021_01_05_425266	116	26	using	use	VBG
10_1101-2021_01_05_425266	116	27	the	the	DT
10_1101-2021_01_05_425266	116	28	correlation	correlation	NN
10_1101-2021_01_05_425266	116	29	,	,	,
10_1101-2021_01_05_425266	116	30	bias	bias	NN
10_1101-2021_01_05_425266	116	31	,	,	,
10_1101-2021_01_05_425266	116	32	and	and	CC
10_1101-2021_01_05_425266	116	33	standard	standard	JJ
10_1101-2021_01_05_425266	116	34	deviation	deviation	NN
10_1101-2021_01_05_425266	116	35	metrics	metric	NNS
10_1101-2021_01_05_425266	116	36	.	.	.
10_1101-2021_01_05_425266	117	1	The	the	DT
10_1101-2021_01_05_425266	117	2	mean	mean	JJ
10_1101-2021_01_05_425266	117	3	absolute	absolute	JJ
10_1101-2021_01_05_425266	117	4	error	error	NN
10_1101-2021_01_05_425266	117	5	(	(	-LRB-
10_1101-2021_01_05_425266	117	6	MAE	MAE	NNP
10_1101-2021_01_05_425266	117	7	)	)	-RRB-
10_1101-2021_01_05_425266	117	8	for	for	IN
10_1101-2021_01_05_425266	117	9	the	the	DT
10_1101-2021_01_05_425266	117	10	LV	LV	NNP
10_1101-2021_01_05_425266	117	11	EDV	EDV	NNP
10_1101-2021_01_05_425266	117	12	and	and	CC
10_1101-2021_01_05_425266	117	13	LVM	LVM	NNP
10_1101-2021_01_05_425266	117	14	were	be	VBD
10_1101-2021_01_05_425266	117	15	also	also	RB
10_1101-2021_01_05_425266	117	16	computed	compute	VBN
10_1101-2021_01_05_425266	117	17	for	for	IN
10_1101-2021_01_05_425266	117	18	comparison	comparison	NN
10_1101-2021_01_05_425266	117	19	against	against	IN
10_1101-2021_01_05_425266	117	20	the	the	DT
10_1101-2021_01_05_425266	117	21	intra-	intra-	JJ
10_1101-2021_01_05_425266	117	22	and	and	CC
10_1101-2021_01_05_425266	117	23	inter	inter	JJ
10_1101-2021_01_05_425266	117	24	-	-	JJ
10_1101-2021_01_05_425266	117	25	observer	observer	JJ
10_1101-2021_01_05_425266	117	26	variability	variability	NN
10_1101-2021_01_05_425266	117	27	reported	report	VBN
10_1101-2021_01_05_425266	117	28	by	by	IN
10_1101-2021_01_05_425266	117	29	[	[	-LRB-
10_1101-2021_01_05_425266	117	30	31	31	CD
10_1101-2021_01_05_425266	117	31	]	]	-RRB-
10_1101-2021_01_05_425266	117	32	.	.	.
10_1101-2021_01_05_425266	118	1	We	-PRON-	PRP
10_1101-2021_01_05_425266	118	2	compared	compare	VBD
10_1101-2021_01_05_425266	118	3	our	-PRON-	PRP$
10_1101-2021_01_05_425266	118	4	results	result	NNS
10_1101-2021_01_05_425266	118	5	to	to	IN
10_1101-2021_01_05_425266	118	6	top-3	top-3	JJ
10_1101-2021_01_05_425266	118	7	ranked	rank	VBN
10_1101-2021_01_05_425266	118	8	methods	method	NNS
10_1101-2021_01_05_425266	118	9	published	publish	VBN
10_1101-2021_01_05_425266	118	10	for	for	IN
10_1101-2021_01_05_425266	118	11	the	the	DT
10_1101-2021_01_05_425266	118	12	ACDC	ACDC	NNP
10_1101-2021_01_05_425266	118	13	test	test	NN
10_1101-2021_01_05_425266	118	14	set	set	VBN
10_1101-2021_01_05_425266	118	15	as	as	IN
10_1101-2021_01_05_425266	118	16	these	these	DT
10_1101-2021_01_05_425266	118	17	appear	appear	VBP
10_1101-2021_01_05_425266	118	18	in	in	IN
10_1101-2021_01_05_425266	118	19	the	the	DT
10_1101-2021_01_05_425266	118	20	leader	leader	NN
10_1101-2021_01_05_425266	118	21	-	-	HYPH
10_1101-2021_01_05_425266	118	22	board	board	NN
10_1101-2021_01_05_425266	118	23	of	of	IN
10_1101-2021_01_05_425266	118	24	the	the	DT
10_1101-2021_01_05_425266	118	25	challenge	challenge	NN
10_1101-2021_01_05_425266	118	26	[	[	-LRB-
10_1101-2021_01_05_425266	118	27	17]–[20	17]–[20	CD
10_1101-2021_01_05_425266	118	28	]	]	-RRB-
10_1101-2021_01_05_425266	118	29	.	.	.
10_1101-2021_01_05_425266	119	1	The	the	DT
10_1101-2021_01_05_425266	119	2	CMAC	CMAC	NNP
10_1101-2021_01_05_425266	119	3	organizers	organizer	NNS
10_1101-2021_01_05_425266	119	4	defined	define	VBD
10_1101-2021_01_05_425266	119	5	12	12	CD
10_1101-2021_01_05_425266	119	6	landmarks	landmark	NNS
10_1101-2021_01_05_425266	119	7	at	at	IN
10_1101-2021_01_05_425266	119	8	the	the	DT
10_1101-2021_01_05_425266	119	9	intersection	intersection	NN
10_1101-2021_01_05_425266	119	10	of	of	IN
10_1101-2021_01_05_425266	119	11	gridded	gridded	JJ
10_1101-2021_01_05_425266	119	12	tagging	tag	VBG
10_1101-2021_01_05_425266	119	13	lines	line	NNS
10_1101-2021_01_05_425266	119	14	at	at	IN
10_1101-2021_01_05_425266	119	15	end	end	NN
10_1101-2021_01_05_425266	119	16	-	-	HYPH
10_1101-2021_01_05_425266	119	17	diastole	diastole	NN
10_1101-2021_01_05_425266	119	18	on	on	IN
10_1101-2021_01_05_425266	119	19	tagging	tag	VBG
10_1101-2021_01_05_425266	119	20	images	image	NNS
10_1101-2021_01_05_425266	119	21	,	,	,
10_1101-2021_01_05_425266	119	22	one	one	CD
10_1101-2021_01_05_425266	119	23	landmark	landmark	NN
10_1101-2021_01_05_425266	119	24	𝑝4	𝑝4	NN
10_1101-2021_01_05_425266	119	25	per	per	IN
10_1101-2021_01_05_425266	119	26	wall	wall	NN
10_1101-2021_01_05_425266	119	27	per	per	IN
10_1101-2021_01_05_425266	119	28	ventricular	ventricular	JJ
10_1101-2021_01_05_425266	119	29	level	level	NN
10_1101-2021_01_05_425266	119	30	.	.	.
10_1101-2021_01_05_425266	120	1	These	these	DT
10_1101-2021_01_05_425266	120	2	landmarks	landmark	NNS
10_1101-2021_01_05_425266	120	3	were	be	VBD
10_1101-2021_01_05_425266	120	4	manually	manually	RB
10_1101-2021_01_05_425266	120	5	-	-	HYPH
10_1101-2021_01_05_425266	120	6	tracked	track	VBN
10_1101-2021_01_05_425266	120	7	by	by	IN
10_1101-2021_01_05_425266	120	8	two	two	CD
10_1101-2021_01_05_425266	120	9	observers	observer	NNS
10_1101-2021_01_05_425266	120	10	over	over	IN
10_1101-2021_01_05_425266	120	11	the	the	DT
10_1101-2021_01_05_425266	120	12	cardiac	cardiac	JJ
10_1101-2021_01_05_425266	120	13	cycle	cycle	NN
10_1101-2021_01_05_425266	120	14	.	.	.
10_1101-2021_01_05_425266	121	1	Conversion	conversion	NN
10_1101-2021_01_05_425266	121	2	from	from	IN
10_1101-2021_01_05_425266	121	3	tagging	tag	VBG
10_1101-2021_01_05_425266	121	4	to	to	IN
10_1101-2021_01_05_425266	121	5	cine	cine	NN
10_1101-2021_01_05_425266	121	6	coordinates	coordinate	NNS
10_1101-2021_01_05_425266	121	7	was	be	VBD
10_1101-2021_01_05_425266	121	8	done	do	VBN
10_1101-2021_01_05_425266	121	9	using	use	VBG
10_1101-2021_01_05_425266	121	10	DICOM	DICOM	NNP
10_1101-2021_01_05_425266	121	11	header	header	NN
10_1101-2021_01_05_425266	121	12	information	information	NN
10_1101-2021_01_05_425266	121	13	.	.	.
10_1101-2021_01_05_425266	122	1	We	-PRON-	PRP
10_1101-2021_01_05_425266	122	2	used	use	VBD
10_1101-2021_01_05_425266	122	3	the	the	DT
10_1101-2021_01_05_425266	122	4	CarMEN	CarMEN	NNP
10_1101-2021_01_05_425266	122	5	motion	motion	NN
10_1101-2021_01_05_425266	122	6	estimates	estimate	VBZ
10_1101-2021_01_05_425266	122	7	𝑢-	𝑢-	PRP
10_1101-2021_01_05_425266	122	8	to	to	TO
10_1101-2021_01_05_425266	122	9	automatically	automatically	RB
10_1101-2021_01_05_425266	122	10	deform	deform	VB
10_1101-2021_01_05_425266	122	11	the	the	DT
10_1101-2021_01_05_425266	122	12	landmarks	landmark	NNS
10_1101-2021_01_05_425266	122	13	at	at	IN
10_1101-2021_01_05_425266	122	14	end	end	NN
10_1101-2021_01_05_425266	122	15	-	-	HYPH
10_1101-2021_01_05_425266	122	16	diastole	diastole	NN
10_1101-2021_01_05_425266	122	17	,	,	,
10_1101-2021_01_05_425266	122	18	and	and	CC
10_1101-2021_01_05_425266	122	19	the	the	DT
10_1101-2021_01_05_425266	122	20	accuracy	accuracy	NN
10_1101-2021_01_05_425266	122	21	was	be	VBD
10_1101-2021_01_05_425266	122	22	assessed	assess	VBN
10_1101-2021_01_05_425266	122	23	using	use	VBG
10_1101-2021_01_05_425266	122	24	the	the	DT
10_1101-2021_01_05_425266	122	25	in	in	IN
10_1101-2021_01_05_425266	122	26	-	-	HYPH
10_1101-2021_01_05_425266	122	27	plane	plane	NN
10_1101-2021_01_05_425266	122	28	end	end	NN
10_1101-2021_01_05_425266	122	29	-	-	HYPH
10_1101-2021_01_05_425266	122	30	point	point	NN
10_1101-2021_01_05_425266	122	31	error	error	NN
10_1101-2021_01_05_425266	122	32	(	(	-LRB-
10_1101-2021_01_05_425266	122	33	EPE	EPE	NNP
10_1101-2021_01_05_425266	122	34	)	)	-RRB-
10_1101-2021_01_05_425266	122	35	between	between	IN
10_1101-2021_01_05_425266	122	36	deformed	deformed	NNP
10_1101-2021_01_05_425266	122	37	𝑝-q	𝑝-q	NNP
10_1101-2021_01_05_425266	122	38	=	=	SYM
10_1101-2021_01_05_425266	122	39	𝑢-	𝑢-	XX
10_1101-2021_01_05_425266	122	40	∘	∘	NNP
10_1101-2021_01_05_425266	122	41	𝑝4	𝑝4	NN
10_1101-2021_01_05_425266	122	42	and	and	CC
10_1101-2021_01_05_425266	122	43	manually	manually	RB
10_1101-2021_01_05_425266	122	44	-	-	HYPH
10_1101-2021_01_05_425266	122	45	tracked	track	VBN
10_1101-2021_01_05_425266	122	46	𝑝-	𝑝-	NNP
10_1101-2021_01_05_425266	122	47	landmarks	landmark	NNS
10_1101-2021_01_05_425266	122	48	,	,	,
10_1101-2021_01_05_425266	122	49	defined	define	VBN
10_1101-2021_01_05_425266	122	50	by	by	IN
10_1101-2021_01_05_425266	122	51	𝐸𝑃𝐸	𝐸𝑃𝐸	NNP
10_1101-2021_01_05_425266	122	52	𝑝,𝑝q	𝑝,𝑝q	NNP
10_1101-2021_01_05_425266	122	53	=	=	SYM
10_1101-2021_01_05_425266	122	54	𝑝t	𝑝t	NNP
10_1101-2021_01_05_425266	122	55	−	−	NNP
10_1101-2021_01_05_425266	122	56	𝑝tq	𝑝tq	VBD
10_1101-2021_01_05_425266	122	57	L	L	NNP
10_1101-2021_01_05_425266	122	58	+	+	SYM
10_1101-2021_01_05_425266	122	59	𝑝c	𝑝c	NNP
10_1101-2021_01_05_425266	122	60	−	−	NNP
10_1101-2021_01_05_425266	122	61	𝑝cq	𝑝cq	NNP
10_1101-2021_01_05_425266	122	62	L	L	NNP
10_1101-2021_01_05_425266	122	63	.	.	.
10_1101-2021_01_05_425266	123	1	(	(	-LRB-
10_1101-2021_01_05_425266	123	2	7	7	LS
10_1101-2021_01_05_425266	123	3	)	)	-RRB-
10_1101-2021_01_05_425266	123	4	Due	due	IN
10_1101-2021_01_05_425266	123	5	to	to	IN
10_1101-2021_01_05_425266	123	6	temporal	temporal	JJ
10_1101-2021_01_05_425266	123	7	misalignment	misalignment	NN
10_1101-2021_01_05_425266	123	8	between	between	IN
10_1101-2021_01_05_425266	123	9	the	the	DT
10_1101-2021_01_05_425266	123	10	tagging	tagging	NN
10_1101-2021_01_05_425266	123	11	and	and	CC
10_1101-2021_01_05_425266	123	12	cine	cine	NN
10_1101-2021_01_05_425266	123	13	acquisitions	acquisition	NNS
10_1101-2021_01_05_425266	123	14	,	,	,
10_1101-2021_01_05_425266	123	15	EPE	EPE	NNP
10_1101-2021_01_05_425266	123	16	was	be	VBD
10_1101-2021_01_05_425266	123	17	evaluated	evaluate	VBN
10_1101-2021_01_05_425266	123	18	only	only	RB
10_1101-2021_01_05_425266	123	19	at	at	IN
10_1101-2021_01_05_425266	123	20	end	end	NN
10_1101-2021_01_05_425266	123	21	-	-	HYPH
10_1101-2021_01_05_425266	123	22	systole	systole	NN
10_1101-2021_01_05_425266	123	23	(	(	-LRB-
10_1101-2021_01_05_425266	123	24	𝑡	𝑡	NN
10_1101-2021_01_05_425266	123	25	=	=	SYM
10_1101-2021_01_05_425266	123	26	𝑡FE	𝑡FE	NNP
10_1101-2021_01_05_425266	123	27	)	)	-RRB-
10_1101-2021_01_05_425266	123	28	.	.	.
10_1101-2021_01_05_425266	124	1	Specifically	specifically	RB
10_1101-2021_01_05_425266	124	2	,	,	,
10_1101-2021_01_05_425266	124	3	let	let	VB
10_1101-2021_01_05_425266	124	4	𝑝au(𝑡	𝑝au(𝑡	NN
10_1101-2021_01_05_425266	124	5	)	)	-RRB-
10_1101-2021_01_05_425266	124	6	denote	denote	VB
10_1101-2021_01_05_425266	124	7	the	the	DT
10_1101-2021_01_05_425266	124	8	manually	manually	RB
10_1101-2021_01_05_425266	124	9	-	-	HYPH
10_1101-2021_01_05_425266	124	10	tracked	track	VBN
10_1101-2021_01_05_425266	124	11	landmarks	landmark	NNS
10_1101-2021_01_05_425266	124	12	of	of	IN
10_1101-2021_01_05_425266	124	13	subject	subject	JJ
10_1101-2021_01_05_425266	124	14	𝑖	𝑖	NNP
10_1101-2021_01_05_425266	124	15	at	at	IN
10_1101-2021_01_05_425266	124	16	frame	frame	NNP
10_1101-2021_01_05_425266	124	17	𝑡	𝑡	NNP
10_1101-2021_01_05_425266	124	18	by	by	IN
10_1101-2021_01_05_425266	124	19	observer	observer	NNP
10_1101-2021_01_05_425266	124	20	𝑗.	𝑗.	NNP
10_1101-2021_01_05_425266	125	1	The	the	DT
10_1101-2021_01_05_425266	125	2	accuracy	accuracy	NN
10_1101-2021_01_05_425266	125	3	of	of	IN
10_1101-2021_01_05_425266	125	4	CarMEN	CarMEN	NNP
10_1101-2021_01_05_425266	125	5	was	be	VBD
10_1101-2021_01_05_425266	125	6	assessed	assess	VBN
10_1101-2021_01_05_425266	125	7	using	use	VBG
10_1101-2021_01_05_425266	125	8	the	the	DT
10_1101-2021_01_05_425266	125	9	average	average	JJ
10_1101-2021_01_05_425266	125	10	EPE	EPE	NNP
10_1101-2021_01_05_425266	125	11	AEPE	AEPE	NNP
10_1101-2021_01_05_425266	125	12	=	=	SYM
10_1101-2021_01_05_425266	125	13	H	H	NNP
10_1101-2021_01_05_425266	125	14	Lb	Lb	NNP
10_1101-2021_01_05_425266	125	15	𝐸𝑃𝐸(𝑝au	𝐸𝑃𝐸(𝑝au	NNP
10_1101-2021_01_05_425266	125	16	𝑡FE	𝑡fe	NN
10_1101-2021_01_05_425266	125	17	,	,	,
10_1101-2021_01_05_425266	125	18	𝑢a(𝑡FE	𝑢a(𝑡FE	NNP
10_1101-2021_01_05_425266	125	19	)	)	-RRB-
10_1101-2021_01_05_425266	125	20	∘	∘	NN
10_1101-2021_01_05_425266	125	21	𝑝4	𝑝4	NN
10_1101-2021_01_05_425266	125	22	)	)	-RRB-
10_1101-2021_01_05_425266	125	23	L	l	NN
10_1101-2021_01_05_425266	125	24	u[H	u[h	NN
10_1101-2021_01_05_425266	125	25	b	b	NN
10_1101-2021_01_05_425266	125	26	a[H	a[h	NN
10_1101-2021_01_05_425266	125	27	.	.	.
10_1101-2021_01_05_425266	126	1	(	(	-LRB-
10_1101-2021_01_05_425266	126	2	8)	8)	CD
10_1101-2021_01_05_425266	126	3	Our	-PRON-	PRP$
10_1101-2021_01_05_425266	126	4	results	result	NNS
10_1101-2021_01_05_425266	126	5	were	be	VBD
10_1101-2021_01_05_425266	126	6	compared	compare	VBN
10_1101-2021_01_05_425266	126	7	to	to	IN
10_1101-2021_01_05_425266	126	8	those	those	DT
10_1101-2021_01_05_425266	126	9	reported	report	VBN
10_1101-2021_01_05_425266	126	10	by	by	IN
10_1101-2021_01_05_425266	126	11	the	the	DT
10_1101-2021_01_05_425266	126	12	four	four	CD
10_1101-2021_01_05_425266	126	13	groups	group	NNS
10_1101-2021_01_05_425266	126	14	that	that	WDT
10_1101-2021_01_05_425266	126	15	responded	respond	VBD
10_1101-2021_01_05_425266	126	16	to	to	IN
10_1101-2021_01_05_425266	126	17	the	the	DT
10_1101-2021_01_05_425266	126	18	challenge	challenge	NN
10_1101-2021_01_05_425266	126	19	[	[	-LRB-
10_1101-2021_01_05_425266	126	20	32	32	CD
10_1101-2021_01_05_425266	126	21	]	]	-RRB-
10_1101-2021_01_05_425266	126	22	,	,	,
10_1101-2021_01_05_425266	126	23	MEVIS	MEVIS	NNP
10_1101-2021_01_05_425266	126	24	[	[	-LRB-
10_1101-2021_01_05_425266	126	25	40	40	CD
10_1101-2021_01_05_425266	126	26	]	]	-RRB-
10_1101-2021_01_05_425266	126	27	,	,	,
10_1101-2021_01_05_425266	126	28	IUCL	IUCL	NNP
10_1101-2021_01_05_425266	126	29	[	[	-LRB-
10_1101-2021_01_05_425266	126	30	9	9	CD
10_1101-2021_01_05_425266	126	31	]	]	-RRB-
10_1101-2021_01_05_425266	126	32	,	,	,
10_1101-2021_01_05_425266	126	33	UPF	UPF	NNP
10_1101-2021_01_05_425266	126	34	[	[	-LRB-
10_1101-2021_01_05_425266	126	35	11	11	CD
10_1101-2021_01_05_425266	126	36	]	]	-RRB-
10_1101-2021_01_05_425266	126	37	,	,	,
10_1101-2021_01_05_425266	126	38	and	and	CC
10_1101-2021_01_05_425266	126	39	INRIA	INRIA	NNP
10_1101-2021_01_05_425266	126	40	[	[	-LRB-
10_1101-2021_01_05_425266	126	41	12	12	CD
10_1101-2021_01_05_425266	126	42	]	]	-RRB-
10_1101-2021_01_05_425266	126	43	,	,	,
10_1101-2021_01_05_425266	126	44	[	[	-LRB-
10_1101-2021_01_05_425266	126	45	41	41	CD
10_1101-2021_01_05_425266	126	46	]	]	-RRB-
10_1101-2021_01_05_425266	126	47	.	.	.
10_1101-2021_01_05_425266	127	1	All	all	DT
10_1101-2021_01_05_425266	127	2	groups	group	NNS
10_1101-2021_01_05_425266	127	3	submitted	submit	VBD
10_1101-2021_01_05_425266	127	4	tagging	tagging	NN
10_1101-2021_01_05_425266	127	5	-	-	HYPH
10_1101-2021_01_05_425266	127	6	based	base	VBN
10_1101-2021_01_05_425266	127	7	motion	motion	NN
10_1101-2021_01_05_425266	127	8	estimates	estimate	NNS
10_1101-2021_01_05_425266	127	9	,	,	,
10_1101-2021_01_05_425266	127	10	but	but	CC
10_1101-2021_01_05_425266	127	11	only	only	RB
10_1101-2021_01_05_425266	127	12	UPF	UPF	NNP
10_1101-2021_01_05_425266	127	13	and	and	CC
10_1101-2021_01_05_425266	127	14	INRIA	inria	IN
10_1101-2021_01_05_425266	127	15	provided	provide	VBN
10_1101-2021_01_05_425266	127	16	estimates	estimate	NNS
10_1101-2021_01_05_425266	127	17	based	base	VBN
10_1101-2021_01_05_425266	127	18	on	on	IN
10_1101-2021_01_05_425266	127	19	cine	cine	NN
10_1101-2021_01_05_425266	127	20	-	-	HYPH
10_1101-2021_01_05_425266	127	21	MRI	mri	NN
10_1101-2021_01_05_425266	127	22	.	.	.
10_1101-2021_01_05_425266	128	1	2	2	LS
10_1101-2021_01_05_425266	128	2	)	)	-RRB-
10_1101-2021_01_05_425266	128	3	Strain	Strain	NNP
10_1101-2021_01_05_425266	128	4	Validation	validation	NN
10_1101-2021_01_05_425266	128	5	and	and	CC
10_1101-2021_01_05_425266	128	6	Intra	intra	JJ
10_1101-2021_01_05_425266	128	7	-	-	HYPH
10_1101-2021_01_05_425266	128	8	Scanner	Scanner	NNP
10_1101-2021_01_05_425266	128	9	Repeatability	Repeatability	NNP
10_1101-2021_01_05_425266	128	10	The	the	DT
10_1101-2021_01_05_425266	128	11	tagging	tagging	NN
10_1101-2021_01_05_425266	128	12	-	-	HYPH
10_1101-2021_01_05_425266	128	13	MRI	mri	NN
10_1101-2021_01_05_425266	128	14	method	method	NN
10_1101-2021_01_05_425266	128	15	with	with	IN
10_1101-2021_01_05_425266	128	16	the	the	DT
10_1101-2021_01_05_425266	128	17	lowest	low	JJS
10_1101-2021_01_05_425266	128	18	AEPE	AEPE	NNP
10_1101-2021_01_05_425266	128	19	was	be	VBD
10_1101-2021_01_05_425266	128	20	used	use	VBN
10_1101-2021_01_05_425266	128	21	as	as	IN
10_1101-2021_01_05_425266	128	22	the	the	DT
10_1101-2021_01_05_425266	128	23	reference	reference	NN
10_1101-2021_01_05_425266	128	24	for	for	IN
10_1101-2021_01_05_425266	128	25	strain	strain	NN
10_1101-2021_01_05_425266	128	26	analysis	analysis	NN
10_1101-2021_01_05_425266	128	27	.	.	.
10_1101-2021_01_05_425266	129	1	The	the	DT
10_1101-2021_01_05_425266	129	2	tagging	tagging	NN
10_1101-2021_01_05_425266	129	3	-	-	HYPH
10_1101-2021_01_05_425266	129	4	MRI	mri	NN
10_1101-2021_01_05_425266	129	5	-	-	HYPH
10_1101-2021_01_05_425266	129	6	based	base	VBN
10_1101-2021_01_05_425266	129	7	motion	motion	NN
10_1101-2021_01_05_425266	129	8	estimates	estimate	NNS
10_1101-2021_01_05_425266	129	9	were	be	VBD
10_1101-2021_01_05_425266	129	10	registered	register	VBN
10_1101-2021_01_05_425266	129	11	and	and	CC
10_1101-2021_01_05_425266	129	12	resampled	resample	VBN
10_1101-2021_01_05_425266	129	13	to	to	IN
10_1101-2021_01_05_425266	129	14	the	the	DT
10_1101-2021_01_05_425266	129	15	cine-	cine-	JJ
10_1101-2021_01_05_425266	129	16	MRI	MRI	NNP
10_1101-2021_01_05_425266	129	17	space	space	NN
10_1101-2021_01_05_425266	129	18	.	.	.
10_1101-2021_01_05_425266	130	1	Global	global	JJ
10_1101-2021_01_05_425266	130	2	strain	strain	NN
10_1101-2021_01_05_425266	130	3	and	and	CC
10_1101-2021_01_05_425266	130	4	SR	sr	JJ
10_1101-2021_01_05_425266	130	5	values	value	NNS
10_1101-2021_01_05_425266	130	6	throughout	throughout	IN
10_1101-2021_01_05_425266	130	7	the	the	DT
10_1101-2021_01_05_425266	130	8	entire	entire	JJ
10_1101-2021_01_05_425266	130	9	cardiac	cardiac	JJ
10_1101-2021_01_05_425266	130	10	cycle	cycle	NN
10_1101-2021_01_05_425266	130	11	were	be	VBD
10_1101-2021_01_05_425266	130	12	derived	derive	VBN
10_1101-2021_01_05_425266	130	13	from	from	IN
10_1101-2021_01_05_425266	130	14	the	the	DT
10_1101-2021_01_05_425266	130	15	resampled	resample	VBN
10_1101-2021_01_05_425266	130	16	estimates	estimate	NNS
10_1101-2021_01_05_425266	130	17	as	as	IN
10_1101-2021_01_05_425266	130	18	described	describe	VBN
10_1101-2021_01_05_425266	130	19	in	in	IN
10_1101-2021_01_05_425266	130	20	[	[	-LRB-
10_1101-2021_01_05_425266	130	21	42	42	CD
10_1101-2021_01_05_425266	130	22	]	]	-RRB-
10_1101-2021_01_05_425266	130	23	.	.	.
10_1101-2021_01_05_425266	131	1	Global-	Global-	NNP
10_1101-2021_01_05_425266	131	2	and	and	CC
10_1101-2021_01_05_425266	131	3	regional	regional	NNP
10_1101-2021_01_05_425266	131	4	-	-	HYPH
10_1101-2021_01_05_425266	131	5	based	base	VBN
10_1101-2021_01_05_425266	131	6	analyses	analysis	NNS
10_1101-2021_01_05_425266	131	7	were	be	VBD
10_1101-2021_01_05_425266	131	8	performed	perform	VBN
10_1101-2021_01_05_425266	131	9	to	to	TO
10_1101-2021_01_05_425266	131	10	assess	assess	VB
10_1101-2021_01_05_425266	131	11	the	the	DT
10_1101-2021_01_05_425266	131	12	repeatability	repeatability	NN
10_1101-2021_01_05_425266	131	13	of	of	IN
10_1101-2021_01_05_425266	131	14	measures	measure	NNS
10_1101-2021_01_05_425266	131	15	from	from	IN
10_1101-2021_01_05_425266	131	16	two	two	CD
10_1101-2021_01_05_425266	131	17	acquisitions	acquisition	NNS
10_1101-2021_01_05_425266	131	18	.	.	.
10_1101-2021_01_05_425266	132	1	Relative	relative	JJ
10_1101-2021_01_05_425266	132	2	changes	change	NNS
10_1101-2021_01_05_425266	132	3	(	(	-LRB-
10_1101-2021_01_05_425266	132	4	RC	rc	NN
10_1101-2021_01_05_425266	132	5	)	)	-RRB-
10_1101-2021_01_05_425266	132	6	and	and	CC
10_1101-2021_01_05_425266	132	7	absolute	absolute	JJ
10_1101-2021_01_05_425266	132	8	relative	relative	JJ
10_1101-2021_01_05_425266	132	9	changes	change	NNS
10_1101-2021_01_05_425266	132	10	(	(	-LRB-
10_1101-2021_01_05_425266	132	11	aRC	aRC	NNP
10_1101-2021_01_05_425266	132	12	)	)	-RRB-
10_1101-2021_01_05_425266	132	13	were	be	VBD
10_1101-2021_01_05_425266	132	14	calculated	calculate	VBN
10_1101-2021_01_05_425266	132	15	,	,	,
10_1101-2021_01_05_425266	132	16	taking	take	VBG
10_1101-2021_01_05_425266	132	17	the	the	DT
10_1101-2021_01_05_425266	132	18	first	first	JJ
10_1101-2021_01_05_425266	132	19	acquisition	acquisition	NN
10_1101-2021_01_05_425266	132	20	as	as	IN
10_1101-2021_01_05_425266	132	21	the	the	DT
10_1101-2021_01_05_425266	132	22	reference	reference	NN
10_1101-2021_01_05_425266	132	23	.	.	.
10_1101-2021_01_05_425266	133	1	ESS	ESS	NNP
10_1101-2021_01_05_425266	133	2	and	and	CC
10_1101-2021_01_05_425266	133	3	SR	SR	NNP
10_1101-2021_01_05_425266	133	4	were	be	VBD
10_1101-2021_01_05_425266	133	5	calculated	calculate	VBN
10_1101-2021_01_05_425266	133	6	for	for	IN
10_1101-2021_01_05_425266	133	7	the	the	DT
10_1101-2021_01_05_425266	133	8	global	global	NNP
10_1101-2021_01_05_425266	133	9	-	-	HYPH
10_1101-2021_01_05_425266	133	10	based	base	VBN
10_1101-2021_01_05_425266	133	11	analysis	analysis	NN
10_1101-2021_01_05_425266	133	12	,	,	,
10_1101-2021_01_05_425266	133	13	and	and	CC
10_1101-2021_01_05_425266	133	14	for	for	IN
10_1101-2021_01_05_425266	133	15	region	region	NN
10_1101-2021_01_05_425266	133	16	-	-	HYPH
10_1101-2021_01_05_425266	133	17	based	base	VBN
10_1101-2021_01_05_425266	133	18	analyses	analysis	NNS
10_1101-2021_01_05_425266	133	19	,	,	,
10_1101-2021_01_05_425266	133	20	ESS	ESS	NNP
10_1101-2021_01_05_425266	133	21	values	value	NNS
10_1101-2021_01_05_425266	133	22	were	be	VBD
10_1101-2021_01_05_425266	133	23	normalized	normalized	JJ
10_1101-2021_01_05_425266	133	24	using	use	VBG
10_1101-2021_01_05_425266	133	25	the	the	DT
10_1101-2021_01_05_425266	133	26	AHA	AHA	NNP
10_1101-2021_01_05_425266	133	27	polar	polar	JJ
10_1101-2021_01_05_425266	133	28	map	map	NN
10_1101-2021_01_05_425266	133	29	,	,	,
10_1101-2021_01_05_425266	133	30	and	and	CC
10_1101-2021_01_05_425266	133	31	both	both	DT
10_1101-2021_01_05_425266	133	32	RC	RC	NNP
10_1101-2021_01_05_425266	133	33	and	and	CC
10_1101-2021_01_05_425266	133	34	aRC	aRC	NNP
10_1101-2021_01_05_425266	133	35	were	be	VBD
10_1101-2021_01_05_425266	133	36	evaluated	evaluate	VBN
10_1101-2021_01_05_425266	133	37	for	for	IN
10_1101-2021_01_05_425266	133	38	each	each	DT
10_1101-2021_01_05_425266	133	39	of	of	IN
10_1101-2021_01_05_425266	133	40	the	the	DT
10_1101-2021_01_05_425266	133	41	segments	segment	NNS
10_1101-2021_01_05_425266	133	42	in	in	IN
10_1101-2021_01_05_425266	133	43	the	the	DT
10_1101-2021_01_05_425266	133	44	polar	polar	JJ
10_1101-2021_01_05_425266	133	45	map	map	NN
10_1101-2021_01_05_425266	133	46	.	.	.
10_1101-2021_01_05_425266	134	1	3	3	LS
10_1101-2021_01_05_425266	134	2	)	)	-RRB-
10_1101-2021_01_05_425266	134	3	Statistics	Statistics	NNPS
10_1101-2021_01_05_425266	134	4	Bland	Bland	NNP
10_1101-2021_01_05_425266	134	5	-	-	HYPH
10_1101-2021_01_05_425266	134	6	Altman	Altman	NNP
10_1101-2021_01_05_425266	134	7	analysis	analysis	NN
10_1101-2021_01_05_425266	134	8	was	be	VBD
10_1101-2021_01_05_425266	134	9	used	use	VBN
10_1101-2021_01_05_425266	134	10	to	to	TO
10_1101-2021_01_05_425266	134	11	quantify	quantify	VB
10_1101-2021_01_05_425266	134	12	agreement	agreement	NN
10_1101-2021_01_05_425266	134	13	between	between	IN
10_1101-2021_01_05_425266	134	14	predicted	predicted	JJ
10_1101-2021_01_05_425266	134	15	and	and	CC
10_1101-2021_01_05_425266	134	16	tagging	tag	VBG
10_1101-2021_01_05_425266	134	17	strain	strain	NN
10_1101-2021_01_05_425266	134	18	measures	measure	NNS
10_1101-2021_01_05_425266	134	19	.	.	.
10_1101-2021_01_05_425266	135	1	We	-PRON-	PRP
10_1101-2021_01_05_425266	135	2	used	use	VBD
10_1101-2021_01_05_425266	135	3	the	the	DT
10_1101-2021_01_05_425266	135	4	term	term	NN
10_1101-2021_01_05_425266	135	5	bias	bias	NN
10_1101-2021_01_05_425266	135	6	to	to	TO
10_1101-2021_01_05_425266	135	7	denote	denote	VB
10_1101-2021_01_05_425266	135	8	the	the	DT
10_1101-2021_01_05_425266	135	9	mean	mean	JJ
10_1101-2021_01_05_425266	135	10	difference	difference	NN
10_1101-2021_01_05_425266	135	11	and	and	CC
10_1101-2021_01_05_425266	135	12	the	the	DT
10_1101-2021_01_05_425266	135	13	term	term	NN
10_1101-2021_01_05_425266	135	14	precision	precision	NN
10_1101-2021_01_05_425266	135	15	to	to	TO
10_1101-2021_01_05_425266	135	16	denote	denote	VB
10_1101-2021_01_05_425266	135	17	the	the	DT
10_1101-2021_01_05_425266	135	18	standard	standard	JJ
10_1101-2021_01_05_425266	135	19	deviation	deviation	NN
10_1101-2021_01_05_425266	135	20	of	of	IN
10_1101-2021_01_05_425266	135	21	the	the	DT
10_1101-2021_01_05_425266	135	22	differences	difference	NNS
10_1101-2021_01_05_425266	135	23	.	.	.
10_1101-2021_01_05_425266	136	1	Differences	difference	NNS
10_1101-2021_01_05_425266	136	2	were	be	VBD
10_1101-2021_01_05_425266	136	3	also	also	RB
10_1101-2021_01_05_425266	136	4	assessed	assess	VBN
10_1101-2021_01_05_425266	136	5	using	use	VBG
10_1101-2021_01_05_425266	136	6	a	a	DT
10_1101-2021_01_05_425266	136	7	paired	pair	VBN
10_1101-2021_01_05_425266	136	8	t	t	NN
10_1101-2021_01_05_425266	136	9	-	-	HYPH
10_1101-2021_01_05_425266	136	10	test	test	NN
10_1101-2021_01_05_425266	136	11	with	with	IN
10_1101-2021_01_05_425266	136	12	Bonferroni	Bonferroni	NNP
10_1101-2021_01_05_425266	136	13	correction	correction	NN
10_1101-2021_01_05_425266	136	14	for	for	IN
10_1101-2021_01_05_425266	136	15	multiple	multiple	JJ
10_1101-2021_01_05_425266	136	16	comparisons	comparison	NNS
10_1101-2021_01_05_425266	136	17	.	.	.
10_1101-2021_01_05_425266	137	1	For	for	IN
10_1101-2021_01_05_425266	137	2	global-	global-	NN
10_1101-2021_01_05_425266	137	3	and	and	CC
10_1101-2021_01_05_425266	137	4	regional-	regional-	NN
10_1101-2021_01_05_425266	137	5	based	base	VBN
10_1101-2021_01_05_425266	137	6	analyses	analysis	NNS
10_1101-2021_01_05_425266	137	7	of	of	IN
10_1101-2021_01_05_425266	137	8	intra	intra	JJ
10_1101-2021_01_05_425266	137	9	-	-	JJ
10_1101-2021_01_05_425266	137	10	scanner	scanner	JJ
10_1101-2021_01_05_425266	137	11	repeatability	repeatability	NN
10_1101-2021_01_05_425266	137	12	,	,	,
10_1101-2021_01_05_425266	137	13	ICC	ICC	NNP
10_1101-2021_01_05_425266	137	14	estimates	estimate	NNS
10_1101-2021_01_05_425266	137	15	and	and	CC
10_1101-2021_01_05_425266	137	16	their	-PRON-	PRP$
10_1101-2021_01_05_425266	137	17	95	95	CD
10_1101-2021_01_05_425266	137	18	%	%	NN
10_1101-2021_01_05_425266	137	19	confidence	confidence	NN
10_1101-2021_01_05_425266	137	20	intervals	interval	NNS
10_1101-2021_01_05_425266	137	21	(	(	-LRB-
10_1101-2021_01_05_425266	137	22	CI	CI	NNP
10_1101-2021_01_05_425266	137	23	)	)	-RRB-
10_1101-2021_01_05_425266	137	24	were	be	VBD
10_1101-2021_01_05_425266	137	25	calculated	calculate	VBN
10_1101-2021_01_05_425266	137	26	based	base	VBN
10_1101-2021_01_05_425266	137	27	on	on	IN
10_1101-2021_01_05_425266	137	28	a	a	DT
10_1101-2021_01_05_425266	137	29	single	single	JJ
10_1101-2021_01_05_425266	137	30	-	-	HYPH
10_1101-2021_01_05_425266	137	31	rating	rating	NN
10_1101-2021_01_05_425266	137	32	,	,	,
10_1101-2021_01_05_425266	137	33	absolute	absolute	JJ
10_1101-2021_01_05_425266	137	34	agreement	agreement	NN
10_1101-2021_01_05_425266	137	35	,	,	,
10_1101-2021_01_05_425266	137	36	2-way	2-way	CD
10_1101-2021_01_05_425266	137	37	mixed	mix	VBN
10_1101-2021_01_05_425266	137	38	-	-	HYPH
10_1101-2021_01_05_425266	137	39	effects	effect	NNS
10_1101-2021_01_05_425266	137	40	model	model	NN
10_1101-2021_01_05_425266	137	41	.	.	.
10_1101-2021_01_05_425266	138	1	Analyses	Analyses	NNP
10_1101-2021_01_05_425266	138	2	were	be	VBD
10_1101-2021_01_05_425266	138	3	performed	perform	VBN
10_1101-2021_01_05_425266	138	4	on	on	IN
10_1101-2021_01_05_425266	138	5	python	python	NNP
10_1101-2021_01_05_425266	138	6	v3.4	v3.4	CD
10_1101-2021_01_05_425266	138	7	[	[	-LRB-
10_1101-2021_01_05_425266	138	8	43	43	CD
10_1101-2021_01_05_425266	138	9	]	]	-RRB-
10_1101-2021_01_05_425266	138	10	.	.	.
10_1101-2021_01_05_425266	139	1	.CC	.CC	NFP
10_1101-2021_01_05_425266	139	2	-	-	:
10_1101-2021_01_05_425266	139	3	BY	by	IN
10_1101-2021_01_05_425266	139	4	-	-	HYPH
10_1101-2021_01_05_425266	139	5	NC	NC	NNP
10_1101-2021_01_05_425266	139	6	-	-	HYPH
10_1101-2021_01_05_425266	139	7	ND	ND	NNP
10_1101-2021_01_05_425266	139	8	4.0	4.0	CD
10_1101-2021_01_05_425266	139	9	International	International	NNP
10_1101-2021_01_05_425266	139	10	licenseavailable	licenseavailable	NN
10_1101-2021_01_05_425266	139	11	under	under	IN
10_1101-2021_01_05_425266	139	12	a	a	DT
10_1101-2021_01_05_425266	139	13	(	(	-LRB-
10_1101-2021_01_05_425266	139	14	which	which	WDT
10_1101-2021_01_05_425266	139	15	was	be	VBD
10_1101-2021_01_05_425266	139	16	not	not	RB
10_1101-2021_01_05_425266	139	17	certified	certify	VBN
10_1101-2021_01_05_425266	139	18	by	by	IN
10_1101-2021_01_05_425266	139	19	peer	peer	NN
10_1101-2021_01_05_425266	139	20	review	review	NN
10_1101-2021_01_05_425266	139	21	)	)	-RRB-
10_1101-2021_01_05_425266	139	22	is	be	VBZ
10_1101-2021_01_05_425266	139	23	the	the	DT
10_1101-2021_01_05_425266	139	24	author	author	NN
10_1101-2021_01_05_425266	139	25	/	/	SYM
10_1101-2021_01_05_425266	139	26	funder	funder	NN
10_1101-2021_01_05_425266	139	27	,	,	,
10_1101-2021_01_05_425266	139	28	who	who	WP
10_1101-2021_01_05_425266	139	29	has	have	VBZ
10_1101-2021_01_05_425266	139	30	granted	grant	VBN
10_1101-2021_01_05_425266	139	31	bioRxiv	biorxiv	IN
10_1101-2021_01_05_425266	139	32	a	a	DT
10_1101-2021_01_05_425266	139	33	license	license	NN
10_1101-2021_01_05_425266	139	34	to	to	TO
10_1101-2021_01_05_425266	139	35	display	display	VB
10_1101-2021_01_05_425266	139	36	the	the	DT
10_1101-2021_01_05_425266	139	37	preprint	preprint	NN
10_1101-2021_01_05_425266	139	38	in	in	IN
10_1101-2021_01_05_425266	139	39	perpetuity	perpetuity	NN
10_1101-2021_01_05_425266	139	40	.	.	.
10_1101-2021_01_05_425266	140	1	It	-PRON-	PRP
10_1101-2021_01_05_425266	140	2	is	be	VBZ
10_1101-2021_01_05_425266	140	3	made	make	VBN
10_1101-2021_01_05_425266	140	4	The	the	DT
10_1101-2021_01_05_425266	140	5	copyright	copyright	NN
10_1101-2021_01_05_425266	140	6	holder	holder	NN
10_1101-2021_01_05_425266	140	7	for	for	IN
10_1101-2021_01_05_425266	140	8	this	this	DT
10_1101-2021_01_05_425266	140	9	preprintthis	preprintthis	NN
10_1101-2021_01_05_425266	140	10	version	version	NN
10_1101-2021_01_05_425266	140	11	posted	post	VBD
10_1101-2021_01_05_425266	140	12	January	January	NNP
10_1101-2021_01_05_425266	140	13	7	7	CD
10_1101-2021_01_05_425266	140	14	,	,	,
10_1101-2021_01_05_425266	140	15	2021	2021	CD
10_1101-2021_01_05_425266	140	16	.	.	.
10_1101-2021_01_05_425266	140	17	;	;	:
10_1101-2021_01_05_425266	140	18	https://doi.org/10.1101/2021.01.05.425266doi	https://doi.org/10.1101/2021.01.05.425266doi	NNP
10_1101-2021_01_05_425266	140	19	:	:	:
10_1101-2021_01_05_425266	140	20	bioRxiv	biorxiv	IN
10_1101-2021_01_05_425266	140	21	preprint	preprint	NN
10_1101-2021_01_05_425266	140	22	https://doi.org/10.1101/2021.01.05.425266	https://doi.org/10.1101/2021.01.05.425266	NN
10_1101-2021_01_05_425266	140	23	http://creativecommons.org/licenses/by-nc-nd/4.0/	http://creativecommons.org/licenses/by-nc-nd/4.0/	NN
10_1101-2021_01_05_425266	140	24	III	III	NNP
10_1101-2021_01_05_425266	140	25	.	.	.
10_1101-2021_01_05_425266	141	1	RESULTS	RESULTS	NNP
10_1101-2021_01_05_425266	141	2	A.	A.	NNP
10_1101-2021_01_05_425266	142	1	Segmentation	segmentation	NN
10_1101-2021_01_05_425266	142	2	and	and	CC
10_1101-2021_01_05_425266	142	3	Motion	Motion	NNP
10_1101-2021_01_05_425266	142	4	Estimation	Estimation	NNP
10_1101-2021_01_05_425266	142	5	Centering	Centering	NNP
10_1101-2021_01_05_425266	142	6	,	,	,
10_1101-2021_01_05_425266	142	7	segmentation	segmentation	NN
10_1101-2021_01_05_425266	142	8	,	,	,
10_1101-2021_01_05_425266	142	9	and	and	CC
10_1101-2021_01_05_425266	142	10	motion	motion	NN
10_1101-2021_01_05_425266	142	11	estimation	estimation	NN
10_1101-2021_01_05_425266	142	12	for	for	IN
10_1101-2021_01_05_425266	142	13	an	an	DT
10_1101-2021_01_05_425266	142	14	entire	entire	JJ
10_1101-2021_01_05_425266	142	15	cardiac	cardiac	JJ
10_1101-2021_01_05_425266	142	16	cycle	cycle	NN
10_1101-2021_01_05_425266	142	17	(	(	-LRB-
10_1101-2021_01_05_425266	142	18	~25	~25	NFP
10_1101-2021_01_05_425266	142	19	frames	frame	NNS
10_1101-2021_01_05_425266	142	20	)	)	-RRB-
10_1101-2021_01_05_425266	142	21	was	be	VBD
10_1101-2021_01_05_425266	142	22	accomplished	accomplish	VBN
10_1101-2021_01_05_425266	142	23	in	in	IN
10_1101-2021_01_05_425266	142	24	<	<	XX
10_1101-2021_01_05_425266	142	25	13s	13	NNS
10_1101-2021_01_05_425266	142	26	on	on	IN
10_1101-2021_01_05_425266	142	27	a	a	DT
10_1101-2021_01_05_425266	142	28	12	12	CD
10_1101-2021_01_05_425266	142	29	GB	GB	NNP
10_1101-2021_01_05_425266	142	30	GPU	GPU	NNP
10_1101-2021_01_05_425266	142	31	and	and	CC
10_1101-2021_01_05_425266	142	32	<	<	XX
10_1101-2021_01_05_425266	142	33	2.2	2.2	CD
10_1101-2021_01_05_425266	142	34	min	min	NN
10_1101-2021_01_05_425266	142	35	on	on	IN
10_1101-2021_01_05_425266	142	36	a	a	DT
10_1101-2021_01_05_425266	142	37	32	32	CD
10_1101-2021_01_05_425266	142	38	GB	GB	NNP
10_1101-2021_01_05_425266	142	39	RAM	ram	NN
10_1101-2021_01_05_425266	142	40	CPU	cpu	NN
10_1101-2021_01_05_425266	142	41	.	.	.
10_1101-2021_01_05_425266	143	1	VCN	VCN	NNP
10_1101-2021_01_05_425266	143	2	located	locate	VBD
10_1101-2021_01_05_425266	143	3	the	the	DT
10_1101-2021_01_05_425266	143	4	LV	LV	NNP
10_1101-2021_01_05_425266	143	5	center	center	NN
10_1101-2021_01_05_425266	143	6	of	of	IN
10_1101-2021_01_05_425266	143	7	mass	mass	NN
10_1101-2021_01_05_425266	143	8	with	with	IN
10_1101-2021_01_05_425266	143	9	a	a	DT
10_1101-2021_01_05_425266	143	10	median	median	JJ
10_1101-2021_01_05_425266	143	11	error	error	NN
10_1101-2021_01_05_425266	143	12	of	of	IN
10_1101-2021_01_05_425266	143	13	1.3	1.3	CD
10_1101-2021_01_05_425266	143	14	mm	mm	NNS
10_1101-2021_01_05_425266	143	15	.	.	.
10_1101-2021_01_05_425266	144	1	Correlation	correlation	NN
10_1101-2021_01_05_425266	144	2	of	of	IN
10_1101-2021_01_05_425266	144	3	CarSON	CarSON	NNP
10_1101-2021_01_05_425266	144	4	and	and	CC
10_1101-2021_01_05_425266	144	5	manual	manual	JJ
10_1101-2021_01_05_425266	144	6	LV	LV	NNP
10_1101-2021_01_05_425266	144	7	volumetric	volumetric	NN
10_1101-2021_01_05_425266	144	8	measures	measure	NNS
10_1101-2021_01_05_425266	144	9	was	be	VBD
10_1101-2021_01_05_425266	144	10	>	>	XX
10_1101-2021_01_05_425266	144	11	0.98	0.98	CD
10_1101-2021_01_05_425266	144	12	across	across	IN
10_1101-2021_01_05_425266	144	13	all	all	DT
10_1101-2021_01_05_425266	144	14	measures	measure	NNS
10_1101-2021_01_05_425266	144	15	(	(	-LRB-
10_1101-2021_01_05_425266	144	16	Table	table	NN
10_1101-2021_01_05_425266	144	17	1	1	CD
10_1101-2021_01_05_425266	144	18	)	)	-RRB-
10_1101-2021_01_05_425266	144	19	,	,	,
10_1101-2021_01_05_425266	144	20	and	and	CC
10_1101-2021_01_05_425266	144	21	biases	bias	NNS
10_1101-2021_01_05_425266	144	22	in	in	IN
10_1101-2021_01_05_425266	144	23	EF	EF	NNP
10_1101-2021_01_05_425266	144	24	(	(	-LRB-
10_1101-2021_01_05_425266	144	25	+0.25	+0.25	NNP
10_1101-2021_01_05_425266	144	26	±	±	NNP
10_1101-2021_01_05_425266	144	27	3.2	3.2	CD
10_1101-2021_01_05_425266	144	28	%	%	NN
10_1101-2021_01_05_425266	144	29	)	)	-RRB-
10_1101-2021_01_05_425266	144	30	,	,	,
10_1101-2021_01_05_425266	144	31	end	end	NN
10_1101-2021_01_05_425266	144	32	-	-	HYPH
10_1101-2021_01_05_425266	144	33	diastolic	diastolic	NN
10_1101-2021_01_05_425266	144	34	(	(	-LRB-
10_1101-2021_01_05_425266	144	35	+0.76	+0.76	NNP
10_1101-2021_01_05_425266	144	36	±	±	NNP
10_1101-2021_01_05_425266	144	37	6.7	6.7	CD
10_1101-2021_01_05_425266	144	38	mL	mL	NNP
10_1101-2021_01_05_425266	144	39	)	)	-RRB-
10_1101-2021_01_05_425266	144	40	and	and	CC
10_1101-2021_01_05_425266	144	41	end	end	NN
10_1101-2021_01_05_425266	144	42	-	-	HYPH
10_1101-2021_01_05_425266	144	43	systolic	systolic	JJ
10_1101-2021_01_05_425266	144	44	(	(	-LRB-
10_1101-2021_01_05_425266	144	45	+0.19	+0.19	NNP
10_1101-2021_01_05_425266	144	46	±	±	NNP
10_1101-2021_01_05_425266	144	47	5.8	5.8	CD
10_1101-2021_01_05_425266	144	48	mL	mL	NNP
10_1101-2021_01_05_425266	144	49	)	)	-RRB-
10_1101-2021_01_05_425266	144	50	volumes	volume	NNS
10_1101-2021_01_05_425266	144	51	,	,	,
10_1101-2021_01_05_425266	144	52	and	and	CC
10_1101-2021_01_05_425266	144	53	mass	mass	NNP
10_1101-2021_01_05_425266	144	54	(	(	-LRB-
10_1101-2021_01_05_425266	144	55	+1.4	+1.4	NNP
10_1101-2021_01_05_425266	144	56	±	±	CD
10_1101-2021_01_05_425266	144	57	10.3	10.3	CD
10_1101-2021_01_05_425266	144	58	g	g	NNP
10_1101-2021_01_05_425266	144	59	)	)	-RRB-
10_1101-2021_01_05_425266	144	60	were	be	VBD
10_1101-2021_01_05_425266	144	61	not	not	RB
10_1101-2021_01_05_425266	144	62	significant	significant	JJ
10_1101-2021_01_05_425266	144	63	.	.	.
10_1101-2021_01_05_425266	145	1	Further	further	RB
10_1101-2021_01_05_425266	145	2	,	,	,
10_1101-2021_01_05_425266	145	3	these	these	DT
10_1101-2021_01_05_425266	145	4	biases	bias	NNS
10_1101-2021_01_05_425266	145	5	were	be	VBD
10_1101-2021_01_05_425266	145	6	smaller	small	JJR
10_1101-2021_01_05_425266	145	7	than	than	IN
10_1101-2021_01_05_425266	145	8	those	those	DT
10_1101-2021_01_05_425266	145	9	obtained	obtain	VBN
10_1101-2021_01_05_425266	145	10	with	with	IN
10_1101-2021_01_05_425266	145	11	other	other	JJ
10_1101-2021_01_05_425266	145	12	methods	method	NNS
10_1101-2021_01_05_425266	145	13	,	,	,
10_1101-2021_01_05_425266	145	14	which	which	WDT
10_1101-2021_01_05_425266	145	15	were	be	VBD
10_1101-2021_01_05_425266	145	16	positive	positive	JJ
10_1101-2021_01_05_425266	145	17	for	for	IN
10_1101-2021_01_05_425266	145	18	LV	LV	NNP
10_1101-2021_01_05_425266	145	19	EDV	EDV	NNP
10_1101-2021_01_05_425266	145	20	(	(	-LRB-
10_1101-2021_01_05_425266	145	21	1.5	1.5	CD
10_1101-2021_01_05_425266	145	22	to	to	TO
10_1101-2021_01_05_425266	145	23	3.7	3.7	CD
10_1101-2021_01_05_425266	145	24	mL	mL	NNP
10_1101-2021_01_05_425266	145	25	)	)	-RRB-
10_1101-2021_01_05_425266	145	26	,	,	,
10_1101-2021_01_05_425266	145	27	negative	negative	JJ
10_1101-2021_01_05_425266	145	28	for	for	IN
10_1101-2021_01_05_425266	145	29	LVM	LVM	NNP
10_1101-2021_01_05_425266	145	30	(	(	-LRB-
10_1101-2021_01_05_425266	145	31	-2.1	-2.1	NNP
10_1101-2021_01_05_425266	145	32	to	to	IN
10_1101-2021_01_05_425266	145	33	-2.9	-2.9	NNP
10_1101-2021_01_05_425266	145	34	g	g	NNP
10_1101-2021_01_05_425266	145	35	)	)	-RRB-
10_1101-2021_01_05_425266	145	36	,	,	,
10_1101-2021_01_05_425266	145	37	and	and	CC
10_1101-2021_01_05_425266	145	38	close	close	RB
10_1101-2021_01_05_425266	145	39	to	to	IN
10_1101-2021_01_05_425266	145	40	zero	zero	CD
10_1101-2021_01_05_425266	145	41	(	(	-LRB-
10_1101-2021_01_05_425266	145	42	±0.5	±0.5	NNP
10_1101-2021_01_05_425266	145	43	%	%	NN
10_1101-2021_01_05_425266	145	44	)	)	-RRB-
10_1101-2021_01_05_425266	145	45	for	for	IN
10_1101-2021_01_05_425266	145	46	EF	EF	NNP
10_1101-2021_01_05_425266	145	47	.	.	.
10_1101-2021_01_05_425266	146	1	Simantiris	Simantiris	NNP
10_1101-2021_01_05_425266	146	2	et	et	NNP
10_1101-2021_01_05_425266	146	3	al	al	NNP
10_1101-2021_01_05_425266	146	4	.	.	.
10_1101-2021_01_05_425266	147	1	[	[	-LRB-
10_1101-2021_01_05_425266	147	2	17	17	CD
10_1101-2021_01_05_425266	147	3	]	]	-RRB-
10_1101-2021_01_05_425266	147	4	obtained	obtain	VBD
10_1101-2021_01_05_425266	147	5	the	the	DT
10_1101-2021_01_05_425266	147	6	best	good	JJS
10_1101-2021_01_05_425266	147	7	precision	precision	NN
10_1101-2021_01_05_425266	147	8	for	for	IN
10_1101-2021_01_05_425266	147	9	LV	LV	NNP
10_1101-2021_01_05_425266	147	10	EF	EF	NNP
10_1101-2021_01_05_425266	147	11	(	(	-LRB-
10_1101-2021_01_05_425266	147	12	2.7	2.7	CD
10_1101-2021_01_05_425266	147	13	vs.	vs.	NN
10_1101-2021_01_05_425266	147	14	3.2	3.2	CD
10_1101-2021_01_05_425266	147	15	%	%	NN
10_1101-2021_01_05_425266	147	16	variance	variance	NN
10_1101-2021_01_05_425266	147	17	with	with	IN
10_1101-2021_01_05_425266	147	18	CarSON	CarSON	NNP
10_1101-2021_01_05_425266	147	19	)	)	-RRB-
10_1101-2021_01_05_425266	147	20	,	,	,
10_1101-2021_01_05_425266	147	21	EDV	EDV	NNP
10_1101-2021_01_05_425266	147	22	(	(	-LRB-
10_1101-2021_01_05_425266	147	23	4.6	4.6	CD
10_1101-2021_01_05_425266	147	24	vs.	vs.	IN
10_1101-2021_01_05_425266	147	25	6.7	6.7	CD
10_1101-2021_01_05_425266	147	26	mm	mm	NNP
10_1101-2021_01_05_425266	147	27	)	)	-RRB-
10_1101-2021_01_05_425266	147	28	,	,	,
10_1101-2021_01_05_425266	147	29	and	and	CC
10_1101-2021_01_05_425266	147	30	LVM	LVM	NNP
10_1101-2021_01_05_425266	147	31	(	(	-LRB-
10_1101-2021_01_05_425266	147	32	6.5	6.5	CD
10_1101-2021_01_05_425266	147	33	vs.	vs.	NN
10_1101-2021_01_05_425266	147	34	10.3	10.3	CD
10_1101-2021_01_05_425266	147	35	g	g	NNP
10_1101-2021_01_05_425266	147	36	)	)	-RRB-
10_1101-2021_01_05_425266	147	37	.	.	.
10_1101-2021_01_05_425266	148	1	Isensee	Isensee	NNP
10_1101-2021_01_05_425266	148	2	et	et	FW
10_1101-2021_01_05_425266	148	3	al	al	NNP
10_1101-2021_01_05_425266	148	4	.	.	.
10_1101-2021_01_05_425266	149	1	[	[	-LRB-
10_1101-2021_01_05_425266	149	2	18	18	CD
10_1101-2021_01_05_425266	149	3	]	]	-RRB-
10_1101-2021_01_05_425266	149	4	obtained	obtain	VBD
10_1101-2021_01_05_425266	149	5	the	the	DT
10_1101-2021_01_05_425266	149	6	best	good	JJS
10_1101-2021_01_05_425266	149	7	results	result	NNS
10_1101-2021_01_05_425266	149	8	on	on	IN
10_1101-2021_01_05_425266	149	9	geometric	geometric	JJ
10_1101-2021_01_05_425266	149	10	metrics	metric	NNS
10_1101-2021_01_05_425266	149	11	,	,	,
10_1101-2021_01_05_425266	149	12	i.e.	i.e.	FW
10_1101-2021_01_05_425266	149	13	,	,	,
10_1101-2021_01_05_425266	149	14	lower	low	JJR
10_1101-2021_01_05_425266	149	15	HD	hd	NN
10_1101-2021_01_05_425266	149	16	for	for	IN
10_1101-2021_01_05_425266	149	17	the	the	DT
10_1101-2021_01_05_425266	149	18	LV	LV	NNP
10_1101-2021_01_05_425266	149	19	(	(	-LRB-
10_1101-2021_01_05_425266	149	20	end	end	NN
10_1101-2021_01_05_425266	149	21	-	-	HYPH
10_1101-2021_01_05_425266	149	22	diastole	diastole	NN
10_1101-2021_01_05_425266	149	23	5.5	5.5	CD
10_1101-2021_01_05_425266	149	24	vs.	vs.	CC
10_1101-2021_01_05_425266	149	25	5.7	5.7	CD
10_1101-2021_01_05_425266	149	26	mm	mm	NN
10_1101-2021_01_05_425266	149	27	;	;	:
10_1101-2021_01_05_425266	149	28	end	end	NN
10_1101-2021_01_05_425266	149	29	-	-	HYPH
10_1101-2021_01_05_425266	149	30	systole	systole	NN
10_1101-2021_01_05_425266	149	31	6.9	6.9	CD
10_1101-2021_01_05_425266	149	32	vs.	vs.	CC
10_1101-2021_01_05_425266	149	33	7.7	7.7	CD
10_1101-2021_01_05_425266	149	34	mm	mm	NN
10_1101-2021_01_05_425266	149	35	)	)	-RRB-
10_1101-2021_01_05_425266	149	36	and	and	CC
10_1101-2021_01_05_425266	149	37	LVM	LVM	NNP
10_1101-2021_01_05_425266	149	38	(	(	-LRB-
10_1101-2021_01_05_425266	149	39	7.0	7.0	CD
10_1101-2021_01_05_425266	149	40	vs.	vs.	NN
10_1101-2021_01_05_425266	149	41	8.1	8.1	CD
10_1101-2021_01_05_425266	149	42	mm	mm	CD
10_1101-2021_01_05_425266	149	43	;	;	:
10_1101-2021_01_05_425266	149	44	7.3	7.3	CD
10_1101-2021_01_05_425266	149	45	vs.	vs.	CC
10_1101-2021_01_05_425266	149	46	9.2	9.2	CD
10_1101-2021_01_05_425266	149	47	mm	mm	CD
10_1101-2021_01_05_425266	149	48	)	)	-RRB-
10_1101-2021_01_05_425266	149	49	,	,	,
10_1101-2021_01_05_425266	149	50	and	and	CC
10_1101-2021_01_05_425266	149	51	higher	high	JJR
10_1101-2021_01_05_425266	149	52	DSC	dsc	NN
10_1101-2021_01_05_425266	149	53	for	for	IN
10_1101-2021_01_05_425266	149	54	the	the	DT
10_1101-2021_01_05_425266	149	55	LVM	lvm	NN
10_1101-2021_01_05_425266	149	56	(	(	-LRB-
10_1101-2021_01_05_425266	149	57	0.904	0.904	CD
10_1101-2021_01_05_425266	149	58	vs.	vs.	IN
10_1101-2021_01_05_425266	149	59	0.898	0.898	CD
10_1101-2021_01_05_425266	149	60	;	;	:
10_1101-2021_01_05_425266	149	61	0.923	0.923	CD
10_1101-2021_01_05_425266	149	62	vs.	vs.	IN
10_1101-2021_01_05_425266	149	63	0.913	0.913	CD
10_1101-2021_01_05_425266	149	64	)	)	-RRB-
10_1101-2021_01_05_425266	149	65	.	.	.
10_1101-2021_01_05_425266	150	1	The	the	DT
10_1101-2021_01_05_425266	150	2	DSC	dsc	NN
10_1101-2021_01_05_425266	150	3	for	for	IN
10_1101-2021_01_05_425266	150	4	the	the	DT
10_1101-2021_01_05_425266	150	5	LV	LV	NNP
10_1101-2021_01_05_425266	150	6	was	be	VBD
10_1101-2021_01_05_425266	150	7	similar	similar	JJ
10_1101-2021_01_05_425266	150	8	for	for	IN
10_1101-2021_01_05_425266	150	9	all	all	DT
10_1101-2021_01_05_425266	150	10	methods	method	NNS
10_1101-2021_01_05_425266	150	11	(	(	-LRB-
10_1101-2021_01_05_425266	150	12	~0.967	~0.967	UH
10_1101-2021_01_05_425266	150	13	,	,	,
10_1101-2021_01_05_425266	150	14	~0.929	~0.929	NN
10_1101-2021_01_05_425266	150	15	)	)	-RRB-
10_1101-2021_01_05_425266	150	16	.	.	.
10_1101-2021_01_05_425266	151	1	MAE	MAE	NNP
10_1101-2021_01_05_425266	151	2	for	for	IN
10_1101-2021_01_05_425266	151	3	the	the	DT
10_1101-2021_01_05_425266	151	4	LV	LV	NNP
10_1101-2021_01_05_425266	151	5	EDV	EDV	NNP
10_1101-2021_01_05_425266	151	6	and	and	CC
10_1101-2021_01_05_425266	151	7	LVM	LVM	NNP
10_1101-2021_01_05_425266	151	8	were	be	VBD
10_1101-2021_01_05_425266	151	9	5.3	5.3	CD
10_1101-2021_01_05_425266	151	10	±	±	CD
10_1101-2021_01_05_425266	151	11	4.1	4.1	CD
10_1101-2021_01_05_425266	151	12	mL	ml	CD
10_1101-2021_01_05_425266	151	13	and	and	CC
10_1101-2021_01_05_425266	151	14	6.8	6.8	CD
10_1101-2021_01_05_425266	151	15	±	±	CD
10_1101-2021_01_05_425266	151	16	6.5	6.5	CD
10_1101-2021_01_05_425266	151	17	g.	g.	NN
10_1101-2021_01_05_425266	151	18	Fig	Fig	NNP
10_1101-2021_01_05_425266	151	19	.	.	.
10_1101-2021_01_05_425266	152	1	2a	2a	CD
10_1101-2021_01_05_425266	152	2	illustrates	illustrate	VBZ
10_1101-2021_01_05_425266	152	3	a	a	DT
10_1101-2021_01_05_425266	152	4	representative	representative	JJ
10_1101-2021_01_05_425266	152	5	example	example	NN
10_1101-2021_01_05_425266	152	6	of	of	IN
10_1101-2021_01_05_425266	152	7	the	the	DT
10_1101-2021_01_05_425266	152	8	tagging	tagging	NN
10_1101-2021_01_05_425266	152	9	and	and	CC
10_1101-2021_01_05_425266	152	10	cine	cine	NN
10_1101-2021_01_05_425266	152	11	images	image	NNS
10_1101-2021_01_05_425266	152	12	from	from	IN
10_1101-2021_01_05_425266	152	13	a	a	DT
10_1101-2021_01_05_425266	152	14	CMAC	CMAC	NNP
10_1101-2021_01_05_425266	152	15	subject	subject	NN
10_1101-2021_01_05_425266	152	16	.	.	.
10_1101-2021_01_05_425266	153	1	Landmarks	landmark	NNS
10_1101-2021_01_05_425266	153	2	defined	define	VBN
10_1101-2021_01_05_425266	153	3	at	at	IN
10_1101-2021_01_05_425266	153	4	end	end	NN
10_1101-2021_01_05_425266	153	5	-	-	HYPH
10_1101-2021_01_05_425266	153	6	diastole	diastole	NN
10_1101-2021_01_05_425266	153	7	were	be	VBD
10_1101-2021_01_05_425266	153	8	deformed	deform	VBN
10_1101-2021_01_05_425266	153	9	to	to	TO
10_1101-2021_01_05_425266	153	10	end	end	VB
10_1101-2021_01_05_425266	153	11	-	-	HYPH
10_1101-2021_01_05_425266	153	12	systole	systole	NN
10_1101-2021_01_05_425266	153	13	using	use	VBG
10_1101-2021_01_05_425266	153	14	the	the	DT
10_1101-2021_01_05_425266	153	15	CarMEN	CarMEN	NNP
10_1101-2021_01_05_425266	153	16	estimates	estimate	NNS
10_1101-2021_01_05_425266	153	17	and	and	CC
10_1101-2021_01_05_425266	153	18	compared	compare	VBN
10_1101-2021_01_05_425266	153	19	to	to	IN
10_1101-2021_01_05_425266	153	20	manual	manual	JJ
10_1101-2021_01_05_425266	153	21	tracking	tracking	NN
10_1101-2021_01_05_425266	153	22	.	.	.
10_1101-2021_01_05_425266	154	1	Banding	band	VBG
10_1101-2021_01_05_425266	154	2	artifacts	artifact	NNS
10_1101-2021_01_05_425266	154	3	on	on	IN
10_1101-2021_01_05_425266	154	4	cine	cine	NN
10_1101-2021_01_05_425266	154	5	images	image	NNS
10_1101-2021_01_05_425266	154	6	showed	show	VBD
10_1101-2021_01_05_425266	154	7	no	no	DT
10_1101-2021_01_05_425266	154	8	clear	clear	JJ
10_1101-2021_01_05_425266	154	9	effect	effect	NN
10_1101-2021_01_05_425266	154	10	on	on	IN
10_1101-2021_01_05_425266	154	11	derived	derive	VBN
10_1101-2021_01_05_425266	154	12	motion	motion	NN
10_1101-2021_01_05_425266	154	13	estimates	estimate	NNS
10_1101-2021_01_05_425266	154	14	or	or	CC
10_1101-2021_01_05_425266	154	15	landmark	landmark	NN
10_1101-2021_01_05_425266	154	16	deformation	deformation	NN
10_1101-2021_01_05_425266	154	17	,	,	,
10_1101-2021_01_05_425266	154	18	as	as	IN
10_1101-2021_01_05_425266	154	19	shown	show	VBN
10_1101-2021_01_05_425266	154	20	in	in	IN
10_1101-2021_01_05_425266	154	21	end	end	NN
10_1101-2021_01_05_425266	154	22	-	-	HYPH
10_1101-2021_01_05_425266	154	23	systole	systole	NN
10_1101-2021_01_05_425266	154	24	(	(	-LRB-
10_1101-2021_01_05_425266	154	25	Fig	fig	NN
10_1101-2021_01_05_425266	154	26	.	.	.
10_1101-2021_01_05_425266	155	1	2a	2a	CD
10_1101-2021_01_05_425266	155	2	,	,	,
10_1101-2021_01_05_425266	155	3	yellow	yellow	JJ
10_1101-2021_01_05_425266	155	4	arrow	arrow	NN
10_1101-2021_01_05_425266	155	5	)	)	-RRB-
10_1101-2021_01_05_425266	155	6	or	or	CC
10_1101-2021_01_05_425266	155	7	throughout	throughout	IN
10_1101-2021_01_05_425266	155	8	the	the	DT
10_1101-2021_01_05_425266	155	9	whole	whole	JJ
10_1101-2021_01_05_425266	155	10	cardiac	cardiac	JJ
10_1101-2021_01_05_425266	155	11	cycle	cycle	NN
10_1101-2021_01_05_425266	155	12	(	(	-LRB-
10_1101-2021_01_05_425266	155	13	see	see	VB
10_1101-2021_01_05_425266	155	14	supplementary	supplementary	JJ
10_1101-2021_01_05_425266	155	15	video	video	NN
10_1101-2021_01_05_425266	155	16	)	)	-RRB-
10_1101-2021_01_05_425266	155	17	.	.	.
10_1101-2021_01_05_425266	156	1	The	the	DT
10_1101-2021_01_05_425266	156	2	manual	manual	JJ
10_1101-2021_01_05_425266	156	3	tracking	track	VBG
10_1101-2021_01_05_425266	156	4	inter	inter	JJ
10_1101-2021_01_05_425266	156	5	-	-	JJ
10_1101-2021_01_05_425266	156	6	observer	observer	JJ
10_1101-2021_01_05_425266	156	7	variability	variability	NN
10_1101-2021_01_05_425266	156	8	was	be	VBD
10_1101-2021_01_05_425266	156	9	0.86	0.86	CD
10_1101-2021_01_05_425266	156	10	mm	mm	NNS
10_1101-2021_01_05_425266	156	11	(	(	-LRB-
10_1101-2021_01_05_425266	156	12	Fig	fig	NN
10_1101-2021_01_05_425266	156	13	.	.	.
10_1101-2021_01_05_425266	157	1	2b	2b	NNP
10_1101-2021_01_05_425266	157	2	,	,	,
10_1101-2021_01_05_425266	157	3	dotted	dotted	JJ
10_1101-2021_01_05_425266	157	4	line	line	NN
10_1101-2021_01_05_425266	157	5	)	)	-RRB-
10_1101-2021_01_05_425266	157	6	.	.	.
10_1101-2021_01_05_425266	158	1	Within	within	IN
10_1101-2021_01_05_425266	158	2	cine-	cine-	JJ
10_1101-2021_01_05_425266	158	3	TABLE	TABLE	NNS
10_1101-2021_01_05_425266	158	4	I	-PRON-	PRP
10_1101-2021_01_05_425266	158	5	STATE	state	NN
10_1101-2021_01_05_425266	158	6	-	-	HYPH
10_1101-2021_01_05_425266	158	7	OF	of	IN
10_1101-2021_01_05_425266	158	8	-	-	HYPH
10_1101-2021_01_05_425266	158	9	THE	the	DT
10_1101-2021_01_05_425266	158	10	-	-	HYPH
10_1101-2021_01_05_425266	158	11	ART	art	NN
10_1101-2021_01_05_425266	158	12	METHODS	methods	JJ
10_1101-2021_01_05_425266	158	13	FOR	for	IN
10_1101-2021_01_05_425266	158	14	LEFT	left	NN
10_1101-2021_01_05_425266	158	15	-	-	HYPH
10_1101-2021_01_05_425266	158	16	VENTRICULAR	ventricular	NN
10_1101-2021_01_05_425266	158	17	SEGMENTATION	segmentation	NN
10_1101-2021_01_05_425266	158	18	SHOWN	SHOWN	NNP
10_1101-2021_01_05_425266	158	19	AT	AT	NNP
10_1101-2021_01_05_425266	158	20	END	END	NNP
10_1101-2021_01_05_425266	158	21	-	-	HYPH
10_1101-2021_01_05_425266	158	22	DIASTOLE	DIASTOLE	NNP
10_1101-2021_01_05_425266	158	23	(	(	-LRB-
10_1101-2021_01_05_425266	158	24	ED	ED	NNP
10_1101-2021_01_05_425266	158	25	)	)	-RRB-
10_1101-2021_01_05_425266	158	26	AND	and	CC
10_1101-2021_01_05_425266	158	27	END	END	NNP
10_1101-2021_01_05_425266	158	28	-	-	HYPH
10_1101-2021_01_05_425266	158	29	SYSTOLE	SYSTOLE	NNP
10_1101-2021_01_05_425266	158	30	(	(	-LRB-
10_1101-2021_01_05_425266	158	31	ES	es	NN
10_1101-2021_01_05_425266	158	32	)	)	-RRB-
10_1101-2021_01_05_425266	158	33	ON	on	IN
10_1101-2021_01_05_425266	158	34	THE	the	DT
10_1101-2021_01_05_425266	158	35	ACDC	ACDC	NNP
10_1101-2021_01_05_425266	158	36	TEST	test	NN
10_1101-2021_01_05_425266	158	37	SET	set	NN
10_1101-2021_01_05_425266	158	38	COMPARED	compare	VBN
10_1101-2021_01_05_425266	158	39	TO	to	IN
10_1101-2021_01_05_425266	158	40	PROPOSED	proposed	NN
10_1101-2021_01_05_425266	158	41	APPROACH	APPROACH	NNP
10_1101-2021_01_05_425266	158	42	.	.	.
10_1101-2021_01_05_425266	159	1	RED	RED	NNP
10_1101-2021_01_05_425266	159	2	ARE	are	VBP
10_1101-2021_01_05_425266	159	3	THE	the	DT
10_1101-2021_01_05_425266	159	4	BEST	best	NN
10_1101-2021_01_05_425266	159	5	RESULTS	results	NN
10_1101-2021_01_05_425266	159	6	FOR	for	IN
10_1101-2021_01_05_425266	159	7	EACH	each	NN
10_1101-2021_01_05_425266	159	8	METRIC	METRIC	NNS
10_1101-2021_01_05_425266	159	9	.	.	.
10_1101-2021_01_05_425266	160	1	Fig	fig	NN
10_1101-2021_01_05_425266	160	2	.	.	.
10_1101-2021_01_05_425266	161	1	2	2	LS
10_1101-2021_01_05_425266	161	2	.	.	.
10_1101-2021_01_05_425266	162	1	Validation	validation	NN
10_1101-2021_01_05_425266	162	2	of	of	IN
10_1101-2021_01_05_425266	162	3	motion	motion	NN
10_1101-2021_01_05_425266	162	4	and	and	CC
10_1101-2021_01_05_425266	162	5	strain	strain	NN
10_1101-2021_01_05_425266	162	6	.	.	.
10_1101-2021_01_05_425266	163	1	(	(	-LRB-
10_1101-2021_01_05_425266	163	2	a	a	LS
10_1101-2021_01_05_425266	163	3	)	)	-RRB-
10_1101-2021_01_05_425266	163	4	Landmarks	landmark	NNS
10_1101-2021_01_05_425266	163	5	at	at	IN
10_1101-2021_01_05_425266	163	6	end	end	NN
10_1101-2021_01_05_425266	163	7	-	-	HYPH
10_1101-2021_01_05_425266	163	8	diastole	diastole	NN
10_1101-2021_01_05_425266	163	9	(	(	-LRB-
10_1101-2021_01_05_425266	163	10	unfilled	unfilled	JJ
10_1101-2021_01_05_425266	163	11	green	green	NN
10_1101-2021_01_05_425266	163	12	)	)	-RRB-
10_1101-2021_01_05_425266	163	13	are	be	VBP
10_1101-2021_01_05_425266	163	14	manually	manually	RB
10_1101-2021_01_05_425266	163	15	-	-	HYPH
10_1101-2021_01_05_425266	163	16	tracked	tracked	JJ
10_1101-2021_01_05_425266	163	17	(	(	-LRB-
10_1101-2021_01_05_425266	163	18	green	green	JJ
10_1101-2021_01_05_425266	163	19	)	)	-RRB-
10_1101-2021_01_05_425266	163	20	and	and	CC
10_1101-2021_01_05_425266	163	21	deformed	deform	VBN
10_1101-2021_01_05_425266	163	22	with	with	IN
10_1101-2021_01_05_425266	163	23	CarMEN	CarMEN	NNP
10_1101-2021_01_05_425266	163	24	to	to	TO
10_1101-2021_01_05_425266	163	25	end	end	VB
10_1101-2021_01_05_425266	163	26	-	-	HYPH
10_1101-2021_01_05_425266	163	27	systole	systole	NN
10_1101-2021_01_05_425266	163	28	(	(	-LRB-
10_1101-2021_01_05_425266	163	29	red	red	NNP
10_1101-2021_01_05_425266	163	30	)	)	-RRB-
10_1101-2021_01_05_425266	163	31	.	.	.
10_1101-2021_01_05_425266	164	1	Yellow	yellow	JJ
10_1101-2021_01_05_425266	164	2	arrow	arrow	NN
10_1101-2021_01_05_425266	164	3	indicates	indicate	VBZ
10_1101-2021_01_05_425266	164	4	a	a	DT
10_1101-2021_01_05_425266	164	5	banding	banding	NN
10_1101-2021_01_05_425266	164	6	artifact	artifact	NN
10_1101-2021_01_05_425266	164	7	.	.	.
10_1101-2021_01_05_425266	165	1	(	(	-LRB-
10_1101-2021_01_05_425266	165	2	b	b	LS
10_1101-2021_01_05_425266	165	3	)	)	-RRB-
10_1101-2021_01_05_425266	165	4	Average	average	JJ
10_1101-2021_01_05_425266	165	5	end	end	NN
10_1101-2021_01_05_425266	165	6	-	-	HYPH
10_1101-2021_01_05_425266	165	7	point	point	NN
10_1101-2021_01_05_425266	165	8	-	-	HYPH
10_1101-2021_01_05_425266	165	9	error	error	NN
10_1101-2021_01_05_425266	165	10	(	(	-LRB-
10_1101-2021_01_05_425266	165	11	AEPE	AEPE	NNP
10_1101-2021_01_05_425266	165	12	)	)	-RRB-
10_1101-2021_01_05_425266	165	13	was	be	VBD
10_1101-2021_01_05_425266	165	14	assessed	assess	VBN
10_1101-2021_01_05_425266	165	15	and	and	CC
10_1101-2021_01_05_425266	165	16	compared	compare	VBN
10_1101-2021_01_05_425266	165	17	to	to	IN
10_1101-2021_01_05_425266	165	18	other	other	JJ
10_1101-2021_01_05_425266	165	19	methods	method	NNS
10_1101-2021_01_05_425266	165	20	.	.	.
10_1101-2021_01_05_425266	166	1	(	(	-LRB-
10_1101-2021_01_05_425266	166	2	c	c	NN
10_1101-2021_01_05_425266	166	3	)	)	-RRB-
10_1101-2021_01_05_425266	166	4	MEVIS-	mevis-	NN
10_1101-2021_01_05_425266	166	5	and	and	CC
10_1101-2021_01_05_425266	166	6	DeepStrain-	deepstrain-	RB
10_1101-2021_01_05_425266	166	7	based	base	VBN
10_1101-2021_01_05_425266	166	8	strain	strain	NN
10_1101-2021_01_05_425266	166	9	(	(	-LRB-
10_1101-2021_01_05_425266	166	10	top	top	NN
10_1101-2021_01_05_425266	166	11	)	)	-RRB-
10_1101-2021_01_05_425266	166	12	and	and	CC
10_1101-2021_01_05_425266	166	13	strain	strain	VB
10_1101-2021_01_05_425266	166	14	rate	rate	NN
10_1101-2021_01_05_425266	166	15	(	(	-LRB-
10_1101-2021_01_05_425266	166	16	SR	SR	NNP
10_1101-2021_01_05_425266	166	17	,	,	,
10_1101-2021_01_05_425266	166	18	bottom	bottom	NN
10_1101-2021_01_05_425266	166	19	)	)	-RRB-
10_1101-2021_01_05_425266	166	20	measures	measure	NNS
10_1101-2021_01_05_425266	166	21	are	be	VBP
10_1101-2021_01_05_425266	166	22	compared	compare	VBN
10_1101-2021_01_05_425266	166	23	.	.	.
10_1101-2021_01_05_425266	167	1	Black	black	JJ
10_1101-2021_01_05_425266	167	2	arrow	arrow	NN
10_1101-2021_01_05_425266	167	3	shows	show	VBZ
10_1101-2021_01_05_425266	167	4	strain	strain	VBP
10_1101-2021_01_05_425266	167	5	inaccuracies	inaccuracy	NNS
10_1101-2021_01_05_425266	167	6	with	with	IN
10_1101-2021_01_05_425266	167	7	MEVIS	MEVIS	NNP
10_1101-2021_01_05_425266	167	8	.	.	.
10_1101-2021_01_05_425266	168	1	.CC	.CC	NFP
10_1101-2021_01_05_425266	168	2	-	-	:
10_1101-2021_01_05_425266	168	3	BY	by	IN
10_1101-2021_01_05_425266	168	4	-	-	HYPH
10_1101-2021_01_05_425266	168	5	NC	NC	NNP
10_1101-2021_01_05_425266	168	6	-	-	HYPH
10_1101-2021_01_05_425266	168	7	ND	ND	NNP
10_1101-2021_01_05_425266	168	8	4.0	4.0	CD
10_1101-2021_01_05_425266	168	9	International	International	NNP
10_1101-2021_01_05_425266	168	10	licenseavailable	licenseavailable	NN
10_1101-2021_01_05_425266	168	11	under	under	IN
10_1101-2021_01_05_425266	168	12	a	a	DT
10_1101-2021_01_05_425266	168	13	(	(	-LRB-
10_1101-2021_01_05_425266	168	14	which	which	WDT
10_1101-2021_01_05_425266	168	15	was	be	VBD
10_1101-2021_01_05_425266	168	16	not	not	RB
10_1101-2021_01_05_425266	168	17	certified	certify	VBN
10_1101-2021_01_05_425266	168	18	by	by	IN
10_1101-2021_01_05_425266	168	19	peer	peer	NN
10_1101-2021_01_05_425266	168	20	review	review	NN
10_1101-2021_01_05_425266	168	21	)	)	-RRB-
10_1101-2021_01_05_425266	168	22	is	be	VBZ
10_1101-2021_01_05_425266	168	23	the	the	DT
10_1101-2021_01_05_425266	168	24	author	author	NN
10_1101-2021_01_05_425266	168	25	/	/	SYM
10_1101-2021_01_05_425266	168	26	funder	funder	NN
10_1101-2021_01_05_425266	168	27	,	,	,
10_1101-2021_01_05_425266	168	28	who	who	WP
10_1101-2021_01_05_425266	168	29	has	have	VBZ
10_1101-2021_01_05_425266	168	30	granted	grant	VBN
10_1101-2021_01_05_425266	168	31	bioRxiv	biorxiv	IN
10_1101-2021_01_05_425266	168	32	a	a	DT
10_1101-2021_01_05_425266	168	33	license	license	NN
10_1101-2021_01_05_425266	168	34	to	to	TO
10_1101-2021_01_05_425266	168	35	display	display	VB
10_1101-2021_01_05_425266	168	36	the	the	DT
10_1101-2021_01_05_425266	168	37	preprint	preprint	NN
10_1101-2021_01_05_425266	168	38	in	in	IN
10_1101-2021_01_05_425266	168	39	perpetuity	perpetuity	NN
10_1101-2021_01_05_425266	168	40	.	.	.
10_1101-2021_01_05_425266	169	1	It	-PRON-	PRP
10_1101-2021_01_05_425266	169	2	is	be	VBZ
10_1101-2021_01_05_425266	169	3	made	make	VBN
10_1101-2021_01_05_425266	169	4	The	the	DT
10_1101-2021_01_05_425266	169	5	copyright	copyright	NN
10_1101-2021_01_05_425266	169	6	holder	holder	NN
10_1101-2021_01_05_425266	169	7	for	for	IN
10_1101-2021_01_05_425266	169	8	this	this	DT
10_1101-2021_01_05_425266	169	9	preprintthis	preprintthis	NN
10_1101-2021_01_05_425266	169	10	version	version	NN
10_1101-2021_01_05_425266	169	11	posted	post	VBD
10_1101-2021_01_05_425266	169	12	January	January	NNP
10_1101-2021_01_05_425266	169	13	7	7	CD
10_1101-2021_01_05_425266	169	14	,	,	,
10_1101-2021_01_05_425266	169	15	2021	2021	CD
10_1101-2021_01_05_425266	169	16	.	.	.
10_1101-2021_01_05_425266	169	17	;	;	:
10_1101-2021_01_05_425266	169	18	https://doi.org/10.1101/2021.01.05.425266doi	https://doi.org/10.1101/2021.01.05.425266doi	NNP
10_1101-2021_01_05_425266	169	19	:	:	:
10_1101-2021_01_05_425266	169	20	bioRxiv	biorxiv	IN
10_1101-2021_01_05_425266	169	21	preprint	preprint	NN
10_1101-2021_01_05_425266	169	22	https://doi.org/10.1101/2021.01.05.425266	https://doi.org/10.1101/2021.01.05.425266	NN
10_1101-2021_01_05_425266	169	23	http://creativecommons.org/licenses/by-nc-nd/4.0/	http://creativecommons.org/licenses/by-nc-nd/4.0/	RB
10_1101-2021_01_05_425266	169	24	based	base	VBN
10_1101-2021_01_05_425266	169	25	techniques	technique	NNS
10_1101-2021_01_05_425266	169	26	,	,	,
10_1101-2021_01_05_425266	169	27	CarMEN	CarMEN	NNP
10_1101-2021_01_05_425266	169	28	(	(	-LRB-
10_1101-2021_01_05_425266	169	29	2.89	2.89	CD
10_1101-2021_01_05_425266	169	30	±	±	CD
10_1101-2021_01_05_425266	169	31	1.52	1.52	CD
10_1101-2021_01_05_425266	169	32	mm	mm	NNP
10_1101-2021_01_05_425266	169	33	)	)	-RRB-
10_1101-2021_01_05_425266	169	34	and	and	CC
10_1101-2021_01_05_425266	169	35	UPF	UPF	NNP
10_1101-2021_01_05_425266	169	36	(	(	-LRB-
10_1101-2021_01_05_425266	169	37	2.94	2.94	CD
10_1101-2021_01_05_425266	169	38	±	±	CD
10_1101-2021_01_05_425266	169	39	1.64	1.64	CD
10_1101-2021_01_05_425266	169	40	mm	mm	NNP
10_1101-2021_01_05_425266	169	41	)	)	-RRB-
10_1101-2021_01_05_425266	169	42	had	have	VBD
10_1101-2021_01_05_425266	169	43	lower	low	JJR
10_1101-2021_01_05_425266	169	44	(	(	-LRB-
10_1101-2021_01_05_425266	169	45	p<0.001	p<0.001	LS
10_1101-2021_01_05_425266	169	46	)	)	-RRB-
10_1101-2021_01_05_425266	169	47	AEPE	AEPE	NNP
10_1101-2021_01_05_425266	169	48	relative	relative	JJ
10_1101-2021_01_05_425266	169	49	to	to	IN
10_1101-2021_01_05_425266	169	50	INRIA	INRIA	NNP
10_1101-2021_01_05_425266	169	51	(	(	-LRB-
10_1101-2021_01_05_425266	169	52	3.78	3.78	CD
10_1101-2021_01_05_425266	169	53	±	±	NNP
10_1101-2021_01_05_425266	169	54	2.08	2.08	CD
10_1101-2021_01_05_425266	169	55	mm	mm	NNP
10_1101-2021_01_05_425266	169	56	)	)	-RRB-
10_1101-2021_01_05_425266	169	57	,	,	,
10_1101-2021_01_05_425266	169	58	but	but	CC
10_1101-2021_01_05_425266	169	59	there	there	EX
10_1101-2021_01_05_425266	169	60	was	be	VBD
10_1101-2021_01_05_425266	169	61	no	no	DT
10_1101-2021_01_05_425266	169	62	significant	significant	JJ
10_1101-2021_01_05_425266	169	63	difference	difference	NN
10_1101-2021_01_05_425266	169	64	between	between	IN
10_1101-2021_01_05_425266	169	65	CarMEN	CarMEN	NNP
10_1101-2021_01_05_425266	169	66	and	and	CC
10_1101-2021_01_05_425266	169	67	UPF	UPF	NNP
10_1101-2021_01_05_425266	169	68	.	.	.
10_1101-2021_01_05_425266	170	1	All	all	DT
10_1101-2021_01_05_425266	170	2	tagging	tagging	NN
10_1101-2021_01_05_425266	170	3	-	-	HYPH
10_1101-2021_01_05_425266	170	4	based	base	VBN
10_1101-2021_01_05_425266	170	5	methods	method	NNS
10_1101-2021_01_05_425266	170	6	had	have	VBD
10_1101-2021_01_05_425266	170	7	lower	low	JJR
10_1101-2021_01_05_425266	170	8	AEPE	AEPE	NNP
10_1101-2021_01_05_425266	170	9	compared	compare	VBN
10_1101-2021_01_05_425266	170	10	to	to	IN
10_1101-2021_01_05_425266	170	11	cine	cine	NN
10_1101-2021_01_05_425266	170	12	approaches	approach	NNS
10_1101-2021_01_05_425266	170	13	,	,	,
10_1101-2021_01_05_425266	170	14	particularly	particularly	RB
10_1101-2021_01_05_425266	170	15	MEVIS	MEVIS	NNP
10_1101-2021_01_05_425266	170	16	(	(	-LRB-
10_1101-2021_01_05_425266	170	17	1.58	1.58	CD
10_1101-2021_01_05_425266	170	18	±	±	CD
10_1101-2021_01_05_425266	170	19	1.45	1.45	CD
10_1101-2021_01_05_425266	170	20	mm	mm	NNS
10_1101-2021_01_05_425266	170	21	)	)	-RRB-
10_1101-2021_01_05_425266	170	22	and	and	CC
10_1101-2021_01_05_425266	170	23	UPF	UPF	NNP
10_1101-2021_01_05_425266	170	24	(	(	-LRB-
10_1101-2021_01_05_425266	170	25	1.65	1.65	CD
10_1101-2021_01_05_425266	170	26	±	±	CD
10_1101-2021_01_05_425266	170	27	1.45	1.45	CD
10_1101-2021_01_05_425266	170	28	mm	mm	NNS
10_1101-2021_01_05_425266	170	29	)	)	-RRB-
10_1101-2021_01_05_425266	170	30	.	.	.
10_1101-2021_01_05_425266	171	1	B.	B.	NNP
10_1101-2021_01_05_425266	172	1	Strain	strain	VB
10_1101-2021_01_05_425266	172	2	Analysis	Analysis	NNP
10_1101-2021_01_05_425266	172	3	Table	table	NN
10_1101-2021_01_05_425266	172	4	2	2	CD
10_1101-2021_01_05_425266	172	5	shows	show	VBZ
10_1101-2021_01_05_425266	172	6	the	the	DT
10_1101-2021_01_05_425266	172	7	normal	normal	JJ
10_1101-2021_01_05_425266	172	8	ranges	range	NNS
10_1101-2021_01_05_425266	172	9	(	(	-LRB-
10_1101-2021_01_05_425266	172	10	mean	mean	VB
10_1101-2021_01_05_425266	172	11	[	[	-LRB-
10_1101-2021_01_05_425266	172	12	95	95	CD
10_1101-2021_01_05_425266	172	13	%	%	NN
10_1101-2021_01_05_425266	172	14	CI	CI	NNP
10_1101-2021_01_05_425266	172	15	]	]	-RRB-
10_1101-2021_01_05_425266	172	16	)	)	-RRB-
10_1101-2021_01_05_425266	172	17	of	of	IN
10_1101-2021_01_05_425266	172	18	strain	strain	NN
10_1101-2021_01_05_425266	172	19	derived	derive	VBN
10_1101-2021_01_05_425266	172	20	from	from	IN
10_1101-2021_01_05_425266	172	21	cine	cine	NN
10_1101-2021_01_05_425266	172	22	-	-	HYPH
10_1101-2021_01_05_425266	172	23	MRI	mri	NN
10_1101-2021_01_05_425266	172	24	data	datum	NNS
10_1101-2021_01_05_425266	172	25	for	for	IN
10_1101-2021_01_05_425266	172	26	all	all	DT
10_1101-2021_01_05_425266	172	27	healthy	healthy	JJ
10_1101-2021_01_05_425266	172	28	subjects	subject	NNS
10_1101-2021_01_05_425266	172	29	,	,	,
10_1101-2021_01_05_425266	172	30	including	include	VBG
10_1101-2021_01_05_425266	172	31	subjects	subject	NNS
10_1101-2021_01_05_425266	172	32	from	from	IN
10_1101-2021_01_05_425266	172	33	the	the	DT
10_1101-2021_01_05_425266	172	34	training	training	NN
10_1101-2021_01_05_425266	172	35	,	,	,
10_1101-2021_01_05_425266	172	36	validation	validation	NN
10_1101-2021_01_05_425266	172	37	,	,	,
10_1101-2021_01_05_425266	172	38	and	and	CC
10_1101-2021_01_05_425266	172	39	repeatability	repeatability	NN
10_1101-2021_01_05_425266	172	40	cohorts	cohort	NNS
10_1101-2021_01_05_425266	172	41	.	.	.
10_1101-2021_01_05_425266	173	1	DeepStrain	DeepStrain	NNP
10_1101-2021_01_05_425266	173	2	generated	generate	VBN
10_1101-2021_01_05_425266	173	3	values	value	NNS
10_1101-2021_01_05_425266	173	4	with	with	IN
10_1101-2021_01_05_425266	173	5	narrow	narrow	JJ
10_1101-2021_01_05_425266	173	6	CI	CI	NNP
10_1101-2021_01_05_425266	173	7	for	for	IN
10_1101-2021_01_05_425266	173	8	circumferential	circumferential	NN
10_1101-2021_01_05_425266	173	9	(	(	-LRB-
10_1101-2021_01_05_425266	173	10	~1	~1	CD
10_1101-2021_01_05_425266	173	11	%	%	NN
10_1101-2021_01_05_425266	173	12	)	)	-RRB-
10_1101-2021_01_05_425266	173	13	and	and	CC
10_1101-2021_01_05_425266	173	14	radial	radial	JJ
10_1101-2021_01_05_425266	173	15	(	(	-LRB-
10_1101-2021_01_05_425266	173	16	~2	~2	CD
10_1101-2021_01_05_425266	173	17	%	%	NN
10_1101-2021_01_05_425266	173	18	)	)	-RRB-
10_1101-2021_01_05_425266	173	19	ESS	ESS	NNP
10_1101-2021_01_05_425266	173	20	,	,	,
10_1101-2021_01_05_425266	173	21	and	and	CC
10_1101-2021_01_05_425266	173	22	circumferential	circumferential	NN
10_1101-2021_01_05_425266	173	23	(	(	-LRB-
10_1101-2021_01_05_425266	173	24	~0.15	~0.15	NFP
10_1101-2021_01_05_425266	173	25	s-1	s-1	NNP
10_1101-2021_01_05_425266	173	26	)	)	-RRB-
10_1101-2021_01_05_425266	173	27	and	and	CC
10_1101-2021_01_05_425266	173	28	radial	radial	NNP
10_1101-2021_01_05_425266	173	29	(	(	-LRB-
10_1101-2021_01_05_425266	173	30	~0.25	~0.25	NFP
10_1101-2021_01_05_425266	173	31	s-1	s-1	NNP
10_1101-2021_01_05_425266	173	32	)	)	-RRB-
10_1101-2021_01_05_425266	173	33	SR	SR	NNP
10_1101-2021_01_05_425266	173	34	.	.	.
10_1101-2021_01_05_425266	174	1	Specifically	specifically	RB
10_1101-2021_01_05_425266	174	2	,	,	,
10_1101-2021_01_05_425266	174	3	circumferential	circumferential	JJ
10_1101-2021_01_05_425266	174	4	and	and	CC
10_1101-2021_01_05_425266	174	5	radial	radial	JJ
10_1101-2021_01_05_425266	174	6	values	value	NNS
10_1101-2021_01_05_425266	174	7	across	across	IN
10_1101-2021_01_05_425266	174	8	datasets	dataset	NNS
10_1101-2021_01_05_425266	174	9	were	be	VBD
10_1101-2021_01_05_425266	174	10	:	:	:
10_1101-2021_01_05_425266	174	11	-16.9	-16.9	HYPH
10_1101-2021_01_05_425266	174	12	%	%	NN
10_1101-2021_01_05_425266	174	13	[	[	-LRB-
10_1101-2021_01_05_425266	174	14	-17.6	-17.6	NNP
10_1101-2021_01_05_425266	174	15	-16.3	-16.3	NN
10_1101-2021_01_05_425266	174	16	]	]	-RRB-
10_1101-2021_01_05_425266	174	17	and	and	CC
10_1101-2021_01_05_425266	174	18	22.6	22.6	CD
10_1101-2021_01_05_425266	174	19	%	%	NN
10_1101-2021_01_05_425266	174	20	[	[	-LRB-
10_1101-2021_01_05_425266	174	21	21.4	21.4	CD
10_1101-2021_01_05_425266	174	22	23.8	23.8	CD
10_1101-2021_01_05_425266	174	23	]	]	-RRB-
10_1101-2021_01_05_425266	174	24	for	for	IN
10_1101-2021_01_05_425266	174	25	ESS	ESS	NNP
10_1101-2021_01_05_425266	174	26	,	,	,
10_1101-2021_01_05_425266	174	27	-1.12	-1.12	CD
10_1101-2021_01_05_425266	174	28	s-1	s-1	NNP
10_1101-2021_01_05_425266	174	29	[	[	-LRB-
10_1101-2021_01_05_425266	174	30	-1.19	-1.19	CD
10_1101-2021_01_05_425266	174	31	-1.05	-1.05	CD
10_1101-2021_01_05_425266	174	32	]	]	-RRB-
10_1101-2021_01_05_425266	174	33	and	and	CC
10_1101-2021_01_05_425266	174	34	1.30	1.30	CD
10_1101-2021_01_05_425266	174	35	s-1	s-1	CD
10_1101-2021_01_05_425266	174	36	[	[	-LRB-
10_1101-2021_01_05_425266	174	37	1.20	1.20	CD
10_1101-2021_01_05_425266	174	38	1.40	1.40	CD
10_1101-2021_01_05_425266	174	39	]	]	-RRB-
10_1101-2021_01_05_425266	174	40	for	for	IN
10_1101-2021_01_05_425266	174	41	SRs	sr	NNS
10_1101-2021_01_05_425266	174	42	,	,	,
10_1101-2021_01_05_425266	174	43	and	and	CC
10_1101-2021_01_05_425266	174	44	0.76	0.76	CD
10_1101-2021_01_05_425266	174	45	s-1	s-1	NN
10_1101-2021_01_05_425266	174	46	[	[	-LRB-
10_1101-2021_01_05_425266	174	47	0.69	0.69	CD
10_1101-2021_01_05_425266	174	48	0.83	0.83	CD
10_1101-2021_01_05_425266	174	49	]	]	-RRB-
10_1101-2021_01_05_425266	174	50	and	and	CC
10_1101-2021_01_05_425266	174	51	-1.38	-1.38	CD
10_1101-2021_01_05_425266	174	52	s-1	s-1	NNP
10_1101-2021_01_05_425266	174	53	[	[	-LRB-
10_1101-2021_01_05_425266	174	54	-1.51	-1.51	CD
10_1101-2021_01_05_425266	174	55	-1.24	-1.24	CD
10_1101-2021_01_05_425266	174	56	]	]	-RRB-
10_1101-2021_01_05_425266	174	57	for	for	IN
10_1101-2021_01_05_425266	174	58	SRe	SRe	NNS
10_1101-2021_01_05_425266	174	59	,	,	,
10_1101-2021_01_05_425266	174	60	accordingly	accordingly	RB
10_1101-2021_01_05_425266	174	61	.	.	.
10_1101-2021_01_05_425266	175	1	These	these	DT
10_1101-2021_01_05_425266	175	2	values	value	NNS
10_1101-2021_01_05_425266	175	3	were	be	VBD
10_1101-2021_01_05_425266	175	4	similar	similar	JJ
10_1101-2021_01_05_425266	175	5	to	to	IN
10_1101-2021_01_05_425266	175	6	those	those	DT
10_1101-2021_01_05_425266	175	7	from	from	IN
10_1101-2021_01_05_425266	175	8	tagging	tagging	NN
10_1101-2021_01_05_425266	175	9	-	-	HYPH
10_1101-2021_01_05_425266	175	10	based	base	VBN
10_1101-2021_01_05_425266	175	11	ones	one	NNS
10_1101-2021_01_05_425266	175	12	,	,	,
10_1101-2021_01_05_425266	175	13	although	although	IN
10_1101-2021_01_05_425266	175	14	circumferential	circumferential	JJ
10_1101-2021_01_05_425266	175	15	SRe	SRe	NNS
10_1101-2021_01_05_425266	175	16	from	from	IN
10_1101-2021_01_05_425266	175	17	cine	cine	NN
10_1101-2021_01_05_425266	175	18	-	-	HYPH
10_1101-2021_01_05_425266	175	19	MRI	MRI	NNP
10_1101-2021_01_05_425266	175	20	data	datum	NNS
10_1101-2021_01_05_425266	175	21	was	be	VBD
10_1101-2021_01_05_425266	175	22	lower	low	JJR
10_1101-2021_01_05_425266	175	23	,	,	,
10_1101-2021_01_05_425266	175	24	mostly	mostly	RB
10_1101-2021_01_05_425266	175	25	in	in	IN
10_1101-2021_01_05_425266	175	26	the	the	DT
10_1101-2021_01_05_425266	175	27	train	train	NN
10_1101-2021_01_05_425266	175	28	set	set	NN
10_1101-2021_01_05_425266	175	29	(	(	-LRB-
10_1101-2021_01_05_425266	175	30	0.7±	0.7±	CD
10_1101-2021_01_05_425266	175	31	0.2	0.2	CD
10_1101-2021_01_05_425266	175	32	s-1	s-1	NN
10_1101-2021_01_05_425266	175	33	)	)	-RRB-
10_1101-2021_01_05_425266	175	34	.	.	.
10_1101-2021_01_05_425266	176	1	Comparison	comparison	NN
10_1101-2021_01_05_425266	176	2	of	of	IN
10_1101-2021_01_05_425266	176	3	tagging-	tagging-	NNP
10_1101-2021_01_05_425266	176	4	and	and	CC
10_1101-2021_01_05_425266	176	5	cine	cine	NN
10_1101-2021_01_05_425266	176	6	-	-	HYPH
10_1101-2021_01_05_425266	176	7	based	base	VBN
10_1101-2021_01_05_425266	176	8	strain	strain	NN
10_1101-2021_01_05_425266	176	9	measures	measure	NNS
10_1101-2021_01_05_425266	176	10	with	with	IN
10_1101-2021_01_05_425266	176	11	matched	match	VBN
10_1101-2021_01_05_425266	176	12	subjects	subject	NNS
10_1101-2021_01_05_425266	176	13	showed	show	VBD
10_1101-2021_01_05_425266	176	14	an	an	DT
10_1101-2021_01_05_425266	176	15	overall	overall	JJ
10_1101-2021_01_05_425266	176	16	agreement	agreement	NN
10_1101-2021_01_05_425266	176	17	in	in	IN
10_1101-2021_01_05_425266	176	18	timing	timing	NN
10_1101-2021_01_05_425266	176	19	and	and	CC
10_1101-2021_01_05_425266	176	20	magnitude	magnitude	NN
10_1101-2021_01_05_425266	176	21	of	of	IN
10_1101-2021_01_05_425266	176	22	strain	strain	NN
10_1101-2021_01_05_425266	176	23	and	and	CC
10_1101-2021_01_05_425266	176	24	SR	SR	NNP
10_1101-2021_01_05_425266	176	25	throughout	throughout	IN
10_1101-2021_01_05_425266	176	26	the	the	DT
10_1101-2021_01_05_425266	176	27	cardiac	cardiac	JJ
10_1101-2021_01_05_425266	176	28	cycle	cycle	NN
10_1101-2021_01_05_425266	176	29	,	,	,
10_1101-2021_01_05_425266	176	30	although	although	IN
10_1101-2021_01_05_425266	176	31	tagging	tagging	NN
10_1101-2021_01_05_425266	176	32	-	-	HYPH
10_1101-2021_01_05_425266	176	33	based	base	VBN
10_1101-2021_01_05_425266	176	34	measures	measure	NNS
10_1101-2021_01_05_425266	176	35	of	of	IN
10_1101-2021_01_05_425266	176	36	radial	radial	JJ
10_1101-2021_01_05_425266	176	37	ESS	ESS	NNP
10_1101-2021_01_05_425266	176	38	diverge	diverge	NN
10_1101-2021_01_05_425266	176	39	after	after	IN
10_1101-2021_01_05_425266	176	40	early	early	JJ
10_1101-2021_01_05_425266	176	41	diastole	diastole	NN
10_1101-2021_01_05_425266	176	42	(	(	-LRB-
10_1101-2021_01_05_425266	176	43	Fig	fig	NN
10_1101-2021_01_05_425266	176	44	.	.	.
10_1101-2021_01_05_425266	177	1	2c	2c	NN
10_1101-2021_01_05_425266	177	2	,	,	,
10_1101-2021_01_05_425266	177	3	black	black	JJ
10_1101-2021_01_05_425266	177	4	arrow	arrow	NN
10_1101-2021_01_05_425266	177	5	)	)	-RRB-
10_1101-2021_01_05_425266	177	6	,	,	,
10_1101-2021_01_05_425266	177	7	and	and	CC
10_1101-2021_01_05_425266	177	8	there	there	EX
10_1101-2021_01_05_425266	177	9	were	be	VBD
10_1101-2021_01_05_425266	177	10	visual	visual	JJ
10_1101-2021_01_05_425266	177	11	differences	difference	NNS
10_1101-2021_01_05_425266	177	12	in	in	IN
10_1101-2021_01_05_425266	177	13	peak	peak	JJ
10_1101-2021_01_05_425266	177	14	SR	SR	NNP
10_1101-2021_01_05_425266	177	15	parameters	parameter	NNS
10_1101-2021_01_05_425266	177	16	.	.	.
10_1101-2021_01_05_425266	178	1	Visual	visual	JJ
10_1101-2021_01_05_425266	178	2	inspection	inspection	NN
10_1101-2021_01_05_425266	178	3	of	of	IN
10_1101-2021_01_05_425266	178	4	image	image	NN
10_1101-2021_01_05_425266	178	5	artifacts	artifact	NNS
10_1101-2021_01_05_425266	178	6	on	on	IN
10_1101-2021_01_05_425266	178	7	cine	cine	NNP
10_1101-2021_01_05_425266	178	8	data	datum	NNS
10_1101-2021_01_05_425266	178	9	showed	show	VBD
10_1101-2021_01_05_425266	178	10	no	no	DT
10_1101-2021_01_05_425266	178	11	clear	clear	JJ
10_1101-2021_01_05_425266	178	12	evidence	evidence	NN
10_1101-2021_01_05_425266	178	13	that	that	IN
10_1101-2021_01_05_425266	178	14	these	these	DT
10_1101-2021_01_05_425266	178	15	artifacts	artifact	NNS
10_1101-2021_01_05_425266	178	16	affected	affect	VBD
10_1101-2021_01_05_425266	178	17	strain	strain	NN
10_1101-2021_01_05_425266	178	18	values	value	NNS
10_1101-2021_01_05_425266	178	19	derived	derive	VBN
10_1101-2021_01_05_425266	178	20	with	with	IN
10_1101-2021_01_05_425266	178	21	DeepStrain	DeepStrain	NNP
10_1101-2021_01_05_425266	178	22	(	(	-LRB-
10_1101-2021_01_05_425266	178	23	see	see	VB
10_1101-2021_01_05_425266	178	24	supplementary	supplementary	JJ
10_1101-2021_01_05_425266	178	25	Fig	Fig	NNP
10_1101-2021_01_05_425266	178	26	.	.	.
10_1101-2021_01_05_425266	179	1	S3	S3	NNP
10_1101-2021_01_05_425266	179	2	)	)	-RRB-
10_1101-2021_01_05_425266	179	3	.	.	.
10_1101-2021_01_05_425266	180	1	Quantitative	quantitative	JJ
10_1101-2021_01_05_425266	180	2	comparisons	comparison	NNS
10_1101-2021_01_05_425266	180	3	of	of	IN
10_1101-2021_01_05_425266	180	4	tagging-	tagging-	NN
10_1101-2021_01_05_425266	180	5	and	and	CC
10_1101-2021_01_05_425266	180	6	cine	cine	NN
10_1101-2021_01_05_425266	180	7	-	-	HYPH
10_1101-2021_01_05_425266	180	8	based	base	VBN
10_1101-2021_01_05_425266	180	9	measures	measure	NNS
10_1101-2021_01_05_425266	180	10	showed	show	VBD
10_1101-2021_01_05_425266	180	11	biases	bias	NNS
10_1101-2021_01_05_425266	180	12	in	in	IN
10_1101-2021_01_05_425266	180	13	circumferential	circumferential	JJ
10_1101-2021_01_05_425266	180	14	ESS	ESS	NNP
10_1101-2021_01_05_425266	180	15	(	(	-LRB-
10_1101-2021_01_05_425266	180	16	-14.2	-14.2	NNP
10_1101-2021_01_05_425266	180	17	±	±	NNP
10_1101-2021_01_05_425266	180	18	2.2	2.2	CD
10_1101-2021_01_05_425266	180	19	vs.	vs.	IN
10_1101-2021_01_05_425266	180	20	-15.3	-15.3	:
10_1101-2021_01_05_425266	180	21	±	±	NNP
10_1101-2021_01_05_425266	180	22	1.5	1.5	CD
10_1101-2021_01_05_425266	180	23	%	%	NN
10_1101-2021_01_05_425266	180	24	;	;	:
10_1101-2021_01_05_425266	180	25	bias	bias	NN
10_1101-2021_01_05_425266	180	26	-1.17	-1.17	CD
10_1101-2021_01_05_425266	180	27	±	±	$
10_1101-2021_01_05_425266	180	28	2.93	2.93	CD
10_1101-2021_01_05_425266	180	29	%	%	NN
10_1101-2021_01_05_425266	180	30	)	)	-RRB-
10_1101-2021_01_05_425266	180	31	,	,	,
10_1101-2021_01_05_425266	180	32	radial	radial	JJ
10_1101-2021_01_05_425266	180	33	ESS	ESS	NNP
10_1101-2021_01_05_425266	180	34	(	(	-LRB-
10_1101-2021_01_05_425266	180	35	18.4	18.4	CD
10_1101-2021_01_05_425266	180	36	±	±	NNP
10_1101-2021_01_05_425266	180	37	5.1	5.1	CD
10_1101-2021_01_05_425266	180	38	vs.	vs.	NN
10_1101-2021_01_05_425266	180	39	19.7	19.7	CD
10_1101-2021_01_05_425266	180	40	±	±	CD
10_1101-2021_01_05_425266	180	41	3.4	3.4	CD
10_1101-2021_01_05_425266	180	42	%	%	NN
10_1101-2021_01_05_425266	180	43	;	;	:
10_1101-2021_01_05_425266	180	44	+1.26	+1.26	NNP
10_1101-2021_01_05_425266	180	45	±	±	NNP
10_1101-2021_01_05_425266	180	46	5.37	5.37	CD
10_1101-2021_01_05_425266	180	47	%	%	NN
10_1101-2021_01_05_425266	180	48	)	)	-RRB-
10_1101-2021_01_05_425266	180	49	and	and	CC
10_1101-2021_01_05_425266	180	50	SRe	SRe	NNP
10_1101-2021_01_05_425266	180	51	(	(	-LRB-
10_1101-2021_01_05_425266	180	52	-1.2	-1.2	:
10_1101-2021_01_05_425266	180	53	±	±	NNP
10_1101-2021_01_05_425266	180	54	0.5	0.5	CD
10_1101-2021_01_05_425266	180	55	vs.	vs.	IN
10_1101-2021_01_05_425266	180	56	-1.4	-1.4	NNP
10_1101-2021_01_05_425266	180	57	±	±	NNP
10_1101-2021_01_05_425266	180	58	0.3	0.3	CD
10_1101-2021_01_05_425266	180	59	;	;	:
10_1101-2021_01_05_425266	180	60	-0.21	-0.21	CD
10_1101-2021_01_05_425266	180	61	±	±	CD
10_1101-2021_01_05_425266	180	62	0.52	0.52	CD
10_1101-2021_01_05_425266	180	63	s-1	s-1	NNP
10_1101-2021_01_05_425266	180	64	)	)	-RRB-
10_1101-2021_01_05_425266	180	65	were	be	VBD
10_1101-2021_01_05_425266	180	66	small	small	JJ
10_1101-2021_01_05_425266	180	67	and	and	CC
10_1101-2021_01_05_425266	180	68	not	not	RB
10_1101-2021_01_05_425266	180	69	significantly	significantly	RB
10_1101-2021_01_05_425266	180	70	different	different	JJ
10_1101-2021_01_05_425266	180	71	from	from	IN
10_1101-2021_01_05_425266	180	72	zero	zero	CD
10_1101-2021_01_05_425266	180	73	(	(	-LRB-
10_1101-2021_01_05_425266	180	74	see	see	VB
10_1101-2021_01_05_425266	180	75	supplementary	supplementary	JJ
10_1101-2021_01_05_425266	180	76	Fig	Fig	NNP
10_1101-2021_01_05_425266	180	77	.	.	.
10_1101-2021_01_05_425266	181	1	S4	S4	NNP
10_1101-2021_01_05_425266	181	2	)	)	-RRB-
10_1101-2021_01_05_425266	181	3	.	.	.
10_1101-2021_01_05_425266	182	1	However	however	RB
10_1101-2021_01_05_425266	182	2	,	,	,
10_1101-2021_01_05_425266	182	3	there	there	EX
10_1101-2021_01_05_425266	182	4	were	be	VBD
10_1101-2021_01_05_425266	182	5	larger	large	JJR
10_1101-2021_01_05_425266	182	6	differences	difference	NNS
10_1101-2021_01_05_425266	182	7	(	(	-LRB-
10_1101-2021_01_05_425266	182	8	p<0.01	p<0.01	NN
10_1101-2021_01_05_425266	182	9	)	)	-RRB-
10_1101-2021_01_05_425266	182	10	in	in	IN
10_1101-2021_01_05_425266	182	11	radial	radial	JJ
10_1101-2021_01_05_425266	182	12	SRs	sr	NNS
10_1101-2021_01_05_425266	182	13	(	(	-LRB-
10_1101-2021_01_05_425266	182	14	1.0	1.0	CD
10_1101-2021_01_05_425266	182	15	±	±	CD
10_1101-2021_01_05_425266	182	16	0.2	0.2	CD
10_1101-2021_01_05_425266	182	17	vs.	vs.	NN
10_1101-2021_01_05_425266	182	18	1.3	1.3	CD
10_1101-2021_01_05_425266	182	19	±	±	CD
10_1101-2021_01_05_425266	182	20	0.2	0.2	CD
10_1101-2021_01_05_425266	182	21	s-1	s-1	CD
10_1101-2021_01_05_425266	182	22	;	;	:
10_1101-2021_01_05_425266	182	23	0.32	0.32	CD
10_1101-2021_01_05_425266	182	24	±	±	CD
10_1101-2021_01_05_425266	182	25	0.34	0.34	CD
10_1101-2021_01_05_425266	182	26	s-1	s-1	NNP
10_1101-2021_01_05_425266	182	27	)	)	-RRB-
10_1101-2021_01_05_425266	182	28	,	,	,
10_1101-2021_01_05_425266	182	29	and	and	CC
10_1101-2021_01_05_425266	182	30	circumferential	circumferential	JJ
10_1101-2021_01_05_425266	182	31	SRs	sr	NNS
10_1101-2021_01_05_425266	182	32	(	(	-LRB-
10_1101-2021_01_05_425266	182	33	-0.9	-0.9	NNP
10_1101-2021_01_05_425266	182	34	±	±	CD
10_1101-2021_01_05_425266	182	35	0.1	0.1	CD
10_1101-2021_01_05_425266	182	36	vs.	vs.	IN
10_1101-2021_01_05_425266	182	37	-1.2	-1.2	:
10_1101-2021_01_05_425266	182	38	±	±	NNP
10_1101-2021_01_05_425266	182	39	0.2	0.2	CD
10_1101-2021_01_05_425266	182	40	s-1	s-1	CD
10_1101-2021_01_05_425266	182	41	;	;	:
10_1101-2021_01_05_425266	182	42	0.30	0.30	CD
10_1101-2021_01_05_425266	182	43	±	±	CD
10_1101-2021_01_05_425266	182	44	0.22	0.22	CD
10_1101-2021_01_05_425266	182	45	s-1	s-1	NNP
10_1101-2021_01_05_425266	182	46	)	)	-RRB-
10_1101-2021_01_05_425266	182	47	and	and	CC
10_1101-2021_01_05_425266	182	48	SRe	SRe	NNP
10_1101-2021_01_05_425266	182	49	(	(	-LRB-
10_1101-2021_01_05_425266	182	50	1.2	1.2	CD
10_1101-2021_01_05_425266	182	51	±	±	CD
10_1101-2021_01_05_425266	182	52	0.2	0.2	CD
10_1101-2021_01_05_425266	182	53	vs.	vs.	NN
10_1101-2021_01_05_425266	182	54	0.8	0.8	CD
10_1101-2021_01_05_425266	182	55	±	±	CD
10_1101-2021_01_05_425266	182	56	0.1	0.1	CD
10_1101-2021_01_05_425266	182	57	s-1	s-1	CD
10_1101-2021_01_05_425266	182	58	;	;	:
10_1101-2021_01_05_425266	182	59	0.40	0.40	CD
10_1101-2021_01_05_425266	182	60	±	±	CD
10_1101-2021_01_05_425266	182	61	0.23	0.23	CD
10_1101-2021_01_05_425266	182	62	s-1	s-1	NNP
10_1101-2021_01_05_425266	182	63	)	)	-RRB-
10_1101-2021_01_05_425266	182	64	.	.	.
10_1101-2021_01_05_425266	183	1	Representative	representative	JJ
10_1101-2021_01_05_425266	183	2	strain	strain	JJ
10_1101-2021_01_05_425266	183	3	measures	measure	NNS
10_1101-2021_01_05_425266	183	4	of	of	IN
10_1101-2021_01_05_425266	183	5	a	a	DT
10_1101-2021_01_05_425266	183	6	single	single	JJ
10_1101-2021_01_05_425266	183	7	subject	subject	NN
10_1101-2021_01_05_425266	183	8	derived	derive	VBN
10_1101-2021_01_05_425266	183	9	from	from	IN
10_1101-2021_01_05_425266	183	10	two	two	CD
10_1101-2021_01_05_425266	183	11	acquisitions	acquisition	NNS
10_1101-2021_01_05_425266	183	12	are	be	VBP
10_1101-2021_01_05_425266	183	13	shown	show	VBN
10_1101-2021_01_05_425266	183	14	in	in	IN
10_1101-2021_01_05_425266	183	15	Fig	Fig	NNP
10_1101-2021_01_05_425266	183	16	.	.	.
10_1101-2021_01_05_425266	184	1	3	3	LS
10_1101-2021_01_05_425266	184	2	.	.	.
10_1101-2021_01_05_425266	185	1	The	the	DT
10_1101-2021_01_05_425266	185	2	AHA	AHA	NNP
10_1101-2021_01_05_425266	185	3	polar	polar	JJ
10_1101-2021_01_05_425266	185	4	maps	map	NNS
10_1101-2021_01_05_425266	185	5	from	from	IN
10_1101-2021_01_05_425266	185	6	both	both	DT
10_1101-2021_01_05_425266	185	7	acquisitions	acquisition	NNS
10_1101-2021_01_05_425266	185	8	showed	show	VBD
10_1101-2021_01_05_425266	185	9	comparable	comparable	JJ
10_1101-2021_01_05_425266	185	10	regional	regional	JJ
10_1101-2021_01_05_425266	185	11	variations	variation	NNS
10_1101-2021_01_05_425266	185	12	in	in	IN
10_1101-2021_01_05_425266	185	13	ESS	ESS	NNP
10_1101-2021_01_05_425266	185	14	,	,	,
10_1101-2021_01_05_425266	185	15	particularly	particularly	RB
10_1101-2021_01_05_425266	185	16	for	for	IN
10_1101-2021_01_05_425266	185	17	circumferential	circumferential	JJ
10_1101-2021_01_05_425266	185	18	ESS	ESS	NNP
10_1101-2021_01_05_425266	185	19	in	in	IN
10_1101-2021_01_05_425266	185	20	the	the	DT
10_1101-2021_01_05_425266	185	21	inferoseptal	inferoseptal	JJ
10_1101-2021_01_05_425266	185	22	wall	wall	NN
10_1101-2021_01_05_425266	185	23	(	(	-LRB-
10_1101-2021_01_05_425266	185	24	Fig	fig	NN
10_1101-2021_01_05_425266	185	25	.	.	.
10_1101-2021_01_05_425266	186	1	3a	3a	NNP
10_1101-2021_01_05_425266	186	2	,	,	,
10_1101-2021_01_05_425266	186	3	orange	orange	NNP
10_1101-2021_01_05_425266	186	4	arrows	arrow	NNS
10_1101-2021_01_05_425266	186	5	)	)	-RRB-
10_1101-2021_01_05_425266	186	6	.	.	.
10_1101-2021_01_05_425266	187	1	Global	global	JJ
10_1101-2021_01_05_425266	187	2	curves	curve	NNS
10_1101-2021_01_05_425266	187	3	throughout	throughout	IN
10_1101-2021_01_05_425266	187	4	the	the	DT
10_1101-2021_01_05_425266	187	5	entire	entire	JJ
10_1101-2021_01_05_425266	187	6	cardiac	cardiac	JJ
10_1101-2021_01_05_425266	187	7	cycle	cycle	NN
10_1101-2021_01_05_425266	187	8	also	also	RB
10_1101-2021_01_05_425266	187	9	showed	show	VBD
10_1101-2021_01_05_425266	187	10	visual	visual	JJ
10_1101-2021_01_05_425266	187	11	agreement	agreement	NN
10_1101-2021_01_05_425266	187	12	in	in	IN
10_1101-2021_01_05_425266	187	13	both	both	CC
10_1101-2021_01_05_425266	187	14	timing	timing	NN
10_1101-2021_01_05_425266	187	15	and	and	CC
10_1101-2021_01_05_425266	187	16	magnitude	magnitude	NN
10_1101-2021_01_05_425266	187	17	(	(	-LRB-
10_1101-2021_01_05_425266	187	18	Fig	fig	NN
10_1101-2021_01_05_425266	187	19	.	.	.
10_1101-2021_01_05_425266	188	1	3b	3b	LS
10_1101-2021_01_05_425266	188	2	)	)	-RRB-
10_1101-2021_01_05_425266	188	3	.	.	.
10_1101-2021_01_05_425266	189	1	From	from	IN
10_1101-2021_01_05_425266	189	2	these	these	DT
10_1101-2021_01_05_425266	189	3	data	datum	NNS
10_1101-2021_01_05_425266	189	4	,	,	,
10_1101-2021_01_05_425266	189	5	circumferential	circumferential	JJ
10_1101-2021_01_05_425266	189	6	(	(	-LRB-
10_1101-2021_01_05_425266	189	7	-14.1	-14.1	HYPH
10_1101-2021_01_05_425266	189	8	vs.	vs.	FW
10_1101-2021_01_05_425266	189	9	-14.3	-14.3	CD
10_1101-2021_01_05_425266	189	10	%	%	NN
10_1101-2021_01_05_425266	189	11	)	)	-RRB-
10_1101-2021_01_05_425266	189	12	and	and	CC
10_1101-2021_01_05_425266	189	13	radial	radial	NN
10_1101-2021_01_05_425266	189	14	(	(	-LRB-
10_1101-2021_01_05_425266	189	15	17.9	17.9	CD
10_1101-2021_01_05_425266	189	16	vs.	vs.	IN
10_1101-2021_01_05_425266	189	17	17	17	CD
10_1101-2021_01_05_425266	189	18	%	%	NN
10_1101-2021_01_05_425266	189	19	)	)	-RRB-
10_1101-2021_01_05_425266	189	20	ESS	ESS	NNP
10_1101-2021_01_05_425266	189	21	(	(	-LRB-
10_1101-2021_01_05_425266	189	22	Fig	fig	NN
10_1101-2021_01_05_425266	189	23	.	.	.
10_1101-2021_01_05_425266	190	1	3b	3b	JJ
10_1101-2021_01_05_425266	190	2	,	,	,
10_1101-2021_01_05_425266	190	3	purple	purple	JJ
10_1101-2021_01_05_425266	190	4	)	)	-RRB-
10_1101-2021_01_05_425266	190	5	,	,	,
10_1101-2021_01_05_425266	190	6	circumferential	circumferential	JJ
10_1101-2021_01_05_425266	190	7	SRs	sr	NNS
10_1101-2021_01_05_425266	190	8	(	(	-LRB-
10_1101-2021_01_05_425266	190	9	0.95	0.95	CD
10_1101-2021_01_05_425266	190	10	vs.	vs.	NN
10_1101-2021_01_05_425266	190	11	0.90	0.90	CD
10_1101-2021_01_05_425266	190	12	s-1	s-1	NNP
10_1101-2021_01_05_425266	190	13	)	)	-RRB-
10_1101-2021_01_05_425266	190	14	and	and	CC
10_1101-2021_01_05_425266	190	15	SRe	SRe	NNP
10_1101-2021_01_05_425266	190	16	(	(	-LRB-
10_1101-2021_01_05_425266	190	17	-0.74	-0.74	:
10_1101-2021_01_05_425266	190	18	vs.	vs.	IN
10_1101-2021_01_05_425266	190	19	-0.82	-0.82	CD
10_1101-2021_01_05_425266	190	20	s-1	s-1	NNP
10_1101-2021_01_05_425266	190	21	)	)	-RRB-
10_1101-2021_01_05_425266	190	22	,	,	,
10_1101-2021_01_05_425266	190	23	and	and	CC
10_1101-2021_01_05_425266	190	24	radial	radial	JJ
10_1101-2021_01_05_425266	190	25	SRs	sr	NNS
10_1101-2021_01_05_425266	190	26	(	(	-LRB-
10_1101-2021_01_05_425266	190	27	1.03	1.03	CD
10_1101-2021_01_05_425266	190	28	vs.	vs.	FW
10_1101-2021_01_05_425266	190	29	1.08	1.08	CD
10_1101-2021_01_05_425266	190	30	s-1	s-1	NNP
10_1101-2021_01_05_425266	190	31	)	)	-RRB-
10_1101-2021_01_05_425266	190	32	and	and	CC
10_1101-2021_01_05_425266	190	33	SRe	SRe	NNP
10_1101-2021_01_05_425266	190	34	(	(	-LRB-
10_1101-2021_01_05_425266	190	35	-1.12	-1.12	NFP
10_1101-2021_01_05_425266	190	36	vs.	vs.	FW
10_1101-2021_01_05_425266	190	37	-1.11	-1.11	CD
10_1101-2021_01_05_425266	190	38	s-1	s-1	NNP
10_1101-2021_01_05_425266	190	39	)	)	-RRB-
10_1101-2021_01_05_425266	190	40	global	global	JJ
10_1101-2021_01_05_425266	190	41	parameters	parameter	NNS
10_1101-2021_01_05_425266	190	42	were	be	VBD
10_1101-2021_01_05_425266	190	43	also	also	RB
10_1101-2021_01_05_425266	190	44	found	find	VBN
10_1101-2021_01_05_425266	190	45	to	to	TO
10_1101-2021_01_05_425266	190	46	be	be	VB
10_1101-2021_01_05_425266	190	47	similar	similar	JJ
10_1101-2021_01_05_425266	190	48	(	(	-LRB-
10_1101-2021_01_05_425266	190	49	Fig	fig	NN
10_1101-2021_01_05_425266	190	50	.	.	.
10_1101-2021_01_05_425266	191	1	3b	3b	JJ
10_1101-2021_01_05_425266	191	2	,	,	,
10_1101-2021_01_05_425266	191	3	yellow	yellow	JJ
10_1101-2021_01_05_425266	191	4	)	)	-RRB-
10_1101-2021_01_05_425266	191	5	.	.	.
10_1101-2021_01_05_425266	192	1	In	in	IN
10_1101-2021_01_05_425266	192	2	addition	addition	NN
10_1101-2021_01_05_425266	192	3	,	,	,
10_1101-2021_01_05_425266	192	4	while	while	IN
10_1101-2021_01_05_425266	192	5	not	not	RB
10_1101-2021_01_05_425266	192	6	quantified	quantify	VBN
10_1101-2021_01_05_425266	192	7	in	in	IN
10_1101-2021_01_05_425266	192	8	this	this	DT
10_1101-2021_01_05_425266	192	9	study	study	NN
10_1101-2021_01_05_425266	192	10	,	,	,
10_1101-2021_01_05_425266	192	11	the	the	DT
10_1101-2021_01_05_425266	192	12	late	late	JJ
10_1101-2021_01_05_425266	192	13	-	-	HYPH
10_1101-2021_01_05_425266	192	14	diastolic	diastolic	NN
10_1101-2021_01_05_425266	192	15	filling	fill	VBG
10_1101-2021_01_05_425266	192	16	peaks	peak	NNS
10_1101-2021_01_05_425266	192	17	were	be	VBD
10_1101-2021_01_05_425266	192	18	also	also	RB
10_1101-2021_01_05_425266	192	19	comparable	comparable	JJ
10_1101-2021_01_05_425266	192	20	(	(	-LRB-
10_1101-2021_01_05_425266	192	21	Fig	fig	NN
10_1101-2021_01_05_425266	192	22	.	.	.
10_1101-2021_01_05_425266	193	1	3b	3b	JJ
10_1101-2021_01_05_425266	193	2	,	,	,
10_1101-2021_01_05_425266	193	3	blue	blue	JJ
10_1101-2021_01_05_425266	193	4	)	)	-RRB-
10_1101-2021_01_05_425266	193	5	.	.	.
10_1101-2021_01_05_425266	194	1	Table	table	NN
10_1101-2021_01_05_425266	194	2	3	3	CD
10_1101-2021_01_05_425266	194	3	shows	show	VBZ
10_1101-2021_01_05_425266	194	4	the	the	DT
10_1101-2021_01_05_425266	194	5	RC	RC	NNP
10_1101-2021_01_05_425266	194	6	,	,	,
10_1101-2021_01_05_425266	194	7	aRC	arc	NN
10_1101-2021_01_05_425266	194	8	,	,	,
10_1101-2021_01_05_425266	194	9	ICC	ICC	NNP
10_1101-2021_01_05_425266	194	10	,	,	,
10_1101-2021_01_05_425266	194	11	and	and	CC
10_1101-2021_01_05_425266	194	12	LoA	LoA	NNP
10_1101-2021_01_05_425266	194	13	across	across	IN
10_1101-2021_01_05_425266	194	14	subjects	subject	NNS
10_1101-2021_01_05_425266	194	15	for	for	IN
10_1101-2021_01_05_425266	194	16	the	the	DT
10_1101-2021_01_05_425266	194	17	global	global	JJ
10_1101-2021_01_05_425266	194	18	parameters	parameter	NNS
10_1101-2021_01_05_425266	194	19	.	.	.
10_1101-2021_01_05_425266	195	1	The	the	DT
10_1101-2021_01_05_425266	195	2	average	average	JJ
10_1101-2021_01_05_425266	195	3	aRC	arc	NN
10_1101-2021_01_05_425266	195	4	was	be	VBD
10_1101-2021_01_05_425266	195	5	below	below	IN
10_1101-2021_01_05_425266	195	6	5	5	CD
10_1101-2021_01_05_425266	195	7	%	%	NN
10_1101-2021_01_05_425266	195	8	for	for	IN
10_1101-2021_01_05_425266	195	9	ESS	ESS	NNP
10_1101-2021_01_05_425266	195	10	(	(	-LRB-
10_1101-2021_01_05_425266	195	11	circumferential	circumferential	NN
10_1101-2021_01_05_425266	195	12	:	:	:
10_1101-2021_01_05_425266	195	13	3.1	3.1	CD
10_1101-2021_01_05_425266	195	14	±	±	CD
10_1101-2021_01_05_425266	195	15	1.8	1.8	CD
10_1101-2021_01_05_425266	195	16	%	%	NN
10_1101-2021_01_05_425266	195	17	;	;	,
10_1101-2021_01_05_425266	195	18	radial	radial	NN
10_1101-2021_01_05_425266	195	19	:	:	:
10_1101-2021_01_05_425266	195	20	4.3	4.3	CD
10_1101-2021_01_05_425266	195	21	±	±	CD
10_1101-2021_01_05_425266	195	22	3.4	3.4	CD
10_1101-2021_01_05_425266	195	23	%	%	NN
10_1101-2021_01_05_425266	195	24	)	)	-RRB-
10_1101-2021_01_05_425266	195	25	,	,	,
10_1101-2021_01_05_425266	195	26	below	below	IN
10_1101-2021_01_05_425266	195	27	7	7	CD
10_1101-2021_01_05_425266	195	28	%	%	NN
10_1101-2021_01_05_425266	195	29	for	for	IN
10_1101-2021_01_05_425266	195	30	SRs	sr	NNS
10_1101-2021_01_05_425266	195	31	(	(	-LRB-
10_1101-2021_01_05_425266	195	32	5.7	5.7	CD
10_1101-2021_01_05_425266	195	33	±	±	CD
10_1101-2021_01_05_425266	195	34	4.4	4.4	CD
10_1101-2021_01_05_425266	195	35	%	%	NN
10_1101-2021_01_05_425266	195	36	;	;	:
10_1101-2021_01_05_425266	195	37	6.9	6.9	CD
10_1101-2021_01_05_425266	195	38	±	±	CD
10_1101-2021_01_05_425266	195	39	10.4	10.4	CD
10_1101-2021_01_05_425266	195	40	%	%	NN
10_1101-2021_01_05_425266	195	41	)	)	-RRB-
10_1101-2021_01_05_425266	195	42	,	,	,
10_1101-2021_01_05_425266	195	43	and	and	CC
10_1101-2021_01_05_425266	195	44	below	below	IN
10_1101-2021_01_05_425266	195	45	11	11	CD
10_1101-2021_01_05_425266	195	46	%	%	NN
10_1101-2021_01_05_425266	195	47	for	for	IN
10_1101-2021_01_05_425266	195	48	SRe	SRe	NNP
10_1101-2021_01_05_425266	195	49	parameters	parameter	NNS
10_1101-2021_01_05_425266	195	50	(	(	-LRB-
10_1101-2021_01_05_425266	195	51	10.2	10.2	CD
10_1101-2021_01_05_425266	195	52	±	±	CD
10_1101-2021_01_05_425266	195	53	8.8	8.8	CD
10_1101-2021_01_05_425266	195	54	%	%	NN
10_1101-2021_01_05_425266	195	55	;	;	:
10_1101-2021_01_05_425266	195	56	3.8	3.8	CD
10_1101-2021_01_05_425266	195	57	±	±	CD
10_1101-2021_01_05_425266	195	58	3.1	3.1	CD
10_1101-2021_01_05_425266	195	59	%	%	NN
10_1101-2021_01_05_425266	195	60	)	)	-RRB-
10_1101-2021_01_05_425266	195	61	.	.	.
10_1101-2021_01_05_425266	196	1	ICC	ICC	NNP
10_1101-2021_01_05_425266	196	2	results	result	NNS
10_1101-2021_01_05_425266	196	3	showed	show	VBD
10_1101-2021_01_05_425266	196	4	repeatability	repeatability	NN
10_1101-2021_01_05_425266	196	5	was	be	VBD
10_1101-2021_01_05_425266	196	6	excellent	excellent	JJ
10_1101-2021_01_05_425266	196	7	for	for	IN
10_1101-2021_01_05_425266	196	8	ESS	ESS	NNP
10_1101-2021_01_05_425266	196	9	(	(	-LRB-
10_1101-2021_01_05_425266	196	10	0.954	0.954	CD
10_1101-2021_01_05_425266	196	11	;	;	:
10_1101-2021_01_05_425266	196	12	0.968	0.968	CD
10_1101-2021_01_05_425266	196	13	)	)	-RRB-
10_1101-2021_01_05_425266	196	14	,	,	,
10_1101-2021_01_05_425266	196	15	good	good	JJ
10_1101-2021_01_05_425266	196	16	for	for	IN
10_1101-2021_01_05_425266	196	17	SRs	sr	NNS
10_1101-2021_01_05_425266	196	18	(	(	-LRB-
10_1101-2021_01_05_425266	196	19	0.889	0.889	CD
10_1101-2021_01_05_425266	196	20	;	;	:
10_1101-2021_01_05_425266	196	21	0.754	0.754	CD
10_1101-2021_01_05_425266	196	22	)	)	-RRB-
10_1101-2021_01_05_425266	196	23	,	,	,
10_1101-2021_01_05_425266	196	24	moderate	moderate	JJ
10_1101-2021_01_05_425266	196	25	for	for	IN
10_1101-2021_01_05_425266	196	26	circumferential	circumferential	JJ
10_1101-2021_01_05_425266	196	27	SRe	SRe	NNP
10_1101-2021_01_05_425266	196	28	(	(	-LRB-
10_1101-2021_01_05_425266	196	29	0.690	0.690	CD
10_1101-2021_01_05_425266	196	30	)	)	-RRB-
10_1101-2021_01_05_425266	196	31	,	,	,
10_1101-2021_01_05_425266	196	32	and	and	CC
10_1101-2021_01_05_425266	196	33	excellent	excellent	JJ
10_1101-2021_01_05_425266	196	34	for	for	IN
10_1101-2021_01_05_425266	196	35	radial	radial	NNP
10_1101-2021_01_05_425266	196	36	SRe	SRe	NNP
10_1101-2021_01_05_425266	196	37	(	(	-LRB-
10_1101-2021_01_05_425266	196	38	0.963	0.963	CD
10_1101-2021_01_05_425266	196	39	)	)	-RRB-
10_1101-2021_01_05_425266	196	40	values	value	NNS
10_1101-2021_01_05_425266	196	41	.	.	.
10_1101-2021_01_05_425266	197	1	The	the	DT
10_1101-2021_01_05_425266	197	2	LoA	LoA	NNP
10_1101-2021_01_05_425266	197	3	,	,	,
10_1101-2021_01_05_425266	197	4	which	which	WDT
10_1101-2021_01_05_425266	197	5	defines	define	VBZ
10_1101-2021_01_05_425266	197	6	the	the	DT
10_1101-2021_01_05_425266	197	7	interval	interval	NN
10_1101-2021_01_05_425266	197	8	where	where	WRB
10_1101-2021_01_05_425266	197	9	to	to	TO
10_1101-2021_01_05_425266	197	10	find	find	VB
10_1101-2021_01_05_425266	197	11	the	the	DT
10_1101-2021_01_05_425266	197	12	expected	expect	VBN
10_1101-2021_01_05_425266	197	13	differences	difference	NNS
10_1101-2021_01_05_425266	197	14	in	in	IN
10_1101-2021_01_05_425266	197	15	95	95	CD
10_1101-2021_01_05_425266	197	16	%	%	NN
10_1101-2021_01_05_425266	197	17	of	of	IN
10_1101-2021_01_05_425266	197	18	the	the	DT
10_1101-2021_01_05_425266	197	19	cases	case	NNS
10_1101-2021_01_05_425266	197	20	assuming	assume	VBG
10_1101-2021_01_05_425266	197	21	normally	normally	RB
10_1101-2021_01_05_425266	197	22	distributed	distribute	VBN
10_1101-2021_01_05_425266	197	23	data	datum	NNS
10_1101-2021_01_05_425266	197	24	,	,	,
10_1101-2021_01_05_425266	197	25	were	be	VBD
10_1101-2021_01_05_425266	197	26	~1	~1	CD
10_1101-2021_01_05_425266	197	27	%	%	NN
10_1101-2021_01_05_425266	197	28	and	and	CC
10_1101-2021_01_05_425266	197	29	~4	~4	``
10_1101-2021_01_05_425266	197	30	%	%	NN
10_1101-2021_01_05_425266	197	31	for	for	IN
10_1101-2021_01_05_425266	197	32	circumferential	circumferential	JJ
10_1101-2021_01_05_425266	197	33	and	and	CC
10_1101-2021_01_05_425266	197	34	radial	radial	JJ
10_1101-2021_01_05_425266	197	35	ESS	ESS	NNP
10_1101-2021_01_05_425266	197	36	,	,	,
10_1101-2021_01_05_425266	197	37	and	and	CC
10_1101-2021_01_05_425266	197	38	<	<	XX
10_1101-2021_01_05_425266	197	39	0.05	0.05	CD
10_1101-2021_01_05_425266	197	40	s-1	s-1	NN
10_1101-2021_01_05_425266	197	41	for	for	IN
10_1101-2021_01_05_425266	197	42	all	all	DT
10_1101-2021_01_05_425266	197	43	SR	SR	NNP
10_1101-2021_01_05_425266	197	44	measures	measure	NNS
10_1101-2021_01_05_425266	197	45	.	.	.
10_1101-2021_01_05_425266	198	1	The	the	DT
10_1101-2021_01_05_425266	198	2	ESS	ESS	NNP
10_1101-2021_01_05_425266	198	3	,	,	,
10_1101-2021_01_05_425266	198	4	RC	RC	NNP
10_1101-2021_01_05_425266	198	5	,	,	,
10_1101-2021_01_05_425266	198	6	and	and	CC
10_1101-2021_01_05_425266	198	7	aRC	aRC	NNP
10_1101-2021_01_05_425266	198	8	maps	map	NNS
10_1101-2021_01_05_425266	198	9	averaged	average	VBD
10_1101-2021_01_05_425266	198	10	across	across	IN
10_1101-2021_01_05_425266	198	11	subjects	subject	NNS
10_1101-2021_01_05_425266	198	12	are	be	VBP
10_1101-2021_01_05_425266	198	13	shown	show	VBN
10_1101-2021_01_05_425266	198	14	in	in	IN
10_1101-2021_01_05_425266	198	15	Fig	Fig	NNP
10_1101-2021_01_05_425266	198	16	.	.	.
10_1101-2021_01_05_425266	199	1	4	4	LS
10_1101-2021_01_05_425266	199	2	.	.	.
10_1101-2021_01_05_425266	200	1	Visually	visually	RB
10_1101-2021_01_05_425266	200	2	,	,	,
10_1101-2021_01_05_425266	200	3	these	these	DT
10_1101-2021_01_05_425266	200	4	maps	map	NNS
10_1101-2021_01_05_425266	200	5	(	(	-LRB-
10_1101-2021_01_05_425266	200	6	Fig	fig	NN
10_1101-2021_01_05_425266	200	7	.	.	.
10_1101-2021_01_05_425266	201	1	4b	4b	LS
10_1101-2021_01_05_425266	201	2	)	)	-RRB-
10_1101-2021_01_05_425266	201	3	showed	show	VBD
10_1101-2021_01_05_425266	201	4	the	the	DT
10_1101-2021_01_05_425266	201	5	average	average	JJ
10_1101-2021_01_05_425266	201	6	RC	RC	NNP
10_1101-2021_01_05_425266	201	7	and	and	CC
10_1101-2021_01_05_425266	201	8	aRC	aRC	NNP
10_1101-2021_01_05_425266	201	9	were	be	VBD
10_1101-2021_01_05_425266	201	10	marginal	marginal	JJ
10_1101-2021_01_05_425266	201	11	(	(	-LRB-
10_1101-2021_01_05_425266	201	12	~1	~1	CD
10_1101-2021_01_05_425266	201	13	%	%	NN
10_1101-2021_01_05_425266	201	14	)	)	-RRB-
10_1101-2021_01_05_425266	201	15	in	in	IN
10_1101-2021_01_05_425266	201	16	more	more	JJR
10_1101-2021_01_05_425266	201	17	than	than	IN
10_1101-2021_01_05_425266	201	18	half	half	NN
10_1101-2021_01_05_425266	201	19	of	of	IN
10_1101-2021_01_05_425266	201	20	the	the	DT
10_1101-2021_01_05_425266	201	21	polar	polar	JJ
10_1101-2021_01_05_425266	201	22	map	map	NN
10_1101-2021_01_05_425266	201	23	segments	segment	NNS
10_1101-2021_01_05_425266	201	24	.	.	.
10_1101-2021_01_05_425266	202	1	Specifically	specifically	RB
10_1101-2021_01_05_425266	202	2	,	,	,
10_1101-2021_01_05_425266	202	3	values	value	NNS
10_1101-2021_01_05_425266	202	4	were	be	VBD
10_1101-2021_01_05_425266	202	5	marginal	marginal	JJ
10_1101-2021_01_05_425266	202	6	for	for	IN
10_1101-2021_01_05_425266	202	7	circumferential	circumferential	JJ
10_1101-2021_01_05_425266	202	8	ESS	ESS	NNP
10_1101-2021_01_05_425266	202	9	(	(	-LRB-
10_1101-2021_01_05_425266	202	10	~1	~1	CD
10_1101-2021_01_05_425266	202	11	%	%	NN
10_1101-2021_01_05_425266	202	12	)	)	-RRB-
10_1101-2021_01_05_425266	202	13	in	in	IN
10_1101-2021_01_05_425266	202	14	the	the	DT
10_1101-2021_01_05_425266	202	15	anterior	anterior	NNP
10_1101-2021_01_05_425266	202	16	,	,	,
10_1101-2021_01_05_425266	202	17	anteroseptal	anteroseptal	JJ
10_1101-2021_01_05_425266	202	18	,	,	,
10_1101-2021_01_05_425266	202	19	and	and	CC
10_1101-2021_01_05_425266	202	20	anterolateral	anterolateral	JJ
10_1101-2021_01_05_425266	202	21	walls	wall	NNS
10_1101-2021_01_05_425266	202	22	,	,	,
10_1101-2021_01_05_425266	202	23	but	but	CC
10_1101-2021_01_05_425266	202	24	were	be	VBD
10_1101-2021_01_05_425266	202	25	larger	large	JJR
10_1101-2021_01_05_425266	202	26	in	in	IN
10_1101-2021_01_05_425266	202	27	the	the	DT
10_1101-2021_01_05_425266	202	28	inferior	inferior	JJ
10_1101-2021_01_05_425266	202	29	region	region	NN
10_1101-2021_01_05_425266	202	30	,	,	,
10_1101-2021_01_05_425266	202	31	most	most	RBS
10_1101-2021_01_05_425266	202	32	notably	notably	RB
10_1101-2021_01_05_425266	202	33	in	in	IN
10_1101-2021_01_05_425266	202	34	the	the	DT
10_1101-2021_01_05_425266	202	35	basal-	basal-	NN
10_1101-2021_01_05_425266	202	36	and	and	CC
10_1101-2021_01_05_425266	202	37	mid	mid	JJ
10_1101-2021_01_05_425266	202	38	-	-	JJ
10_1101-2021_01_05_425266	202	39	inferoseptal	inferoseptal	JJ
10_1101-2021_01_05_425266	202	40	segments	segment	NNS
10_1101-2021_01_05_425266	202	41	(	(	-LRB-
10_1101-2021_01_05_425266	202	42	7	7	CD
10_1101-2021_01_05_425266	202	43	%	%	NN
10_1101-2021_01_05_425266	202	44	)	)	-RRB-
10_1101-2021_01_05_425266	202	45	.	.	.
10_1101-2021_01_05_425266	203	1	For	for	IN
10_1101-2021_01_05_425266	203	2	radial	radial	JJ
10_1101-2021_01_05_425266	203	3	ESS	ESS	NNP
10_1101-2021_01_05_425266	203	4	the	the	DT
10_1101-2021_01_05_425266	203	5	largest	large	JJS
10_1101-2021_01_05_425266	203	6	changes	change	NNS
10_1101-2021_01_05_425266	203	7	were	be	VBD
10_1101-2021_01_05_425266	203	8	found	find	VBN
10_1101-2021_01_05_425266	203	9	in	in	IN
10_1101-2021_01_05_425266	203	10	the	the	DT
10_1101-2021_01_05_425266	203	11	mid-	mid-	NN
10_1101-2021_01_05_425266	203	12	anterolateral	anterolateral	JJ
10_1101-2021_01_05_425266	203	13	segment	segment	NN
10_1101-2021_01_05_425266	203	14	(	(	-LRB-
10_1101-2021_01_05_425266	203	15	6	6	CD
10_1101-2021_01_05_425266	203	16	%	%	NN
10_1101-2021_01_05_425266	203	17	)	)	-RRB-
10_1101-2021_01_05_425266	203	18	,	,	,
10_1101-2021_01_05_425266	203	19	whereas	whereas	IN
10_1101-2021_01_05_425266	203	20	changes	change	NNS
10_1101-2021_01_05_425266	203	21	in	in	IN
10_1101-2021_01_05_425266	203	22	the	the	DT
10_1101-2021_01_05_425266	203	23	anteroseptal	anteroseptal	NN
10_1101-2021_01_05_425266	203	24	,	,	,
10_1101-2021_01_05_425266	203	25	inferior	inferior	JJ
10_1101-2021_01_05_425266	203	26	and	and	CC
10_1101-2021_01_05_425266	203	27	inferolateral	inferolateral	JJ
10_1101-2021_01_05_425266	203	28	walls	wall	NNS
10_1101-2021_01_05_425266	203	29	were	be	VBD
10_1101-2021_01_05_425266	203	30	very	very	RB
10_1101-2021_01_05_425266	203	31	small	small	JJ
10_1101-2021_01_05_425266	203	32	(	(	-LRB-
10_1101-2021_01_05_425266	203	33	~1	~1	CD
10_1101-2021_01_05_425266	203	34	%	%	NN
10_1101-2021_01_05_425266	203	35	)	)	-RRB-
10_1101-2021_01_05_425266	203	36	.	.	.
10_1101-2021_01_05_425266	204	1	The	the	DT
10_1101-2021_01_05_425266	204	2	RC	rc	NN
10_1101-2021_01_05_425266	204	3	and	and	CC
10_1101-2021_01_05_425266	204	4	aRC	arc	NN
10_1101-2021_01_05_425266	204	5	per	per	IN
10_1101-2021_01_05_425266	204	6	subject	subject	JJ
10_1101-2021_01_05_425266	204	7	are	be	VBP
10_1101-2021_01_05_425266	204	8	provided	provide	VBN
10_1101-2021_01_05_425266	204	9	in	in	IN
10_1101-2021_01_05_425266	204	10	boxplot	boxplot	NN
10_1101-2021_01_05_425266	204	11	form	form	NN
10_1101-2021_01_05_425266	204	12	in	in	IN
10_1101-2021_01_05_425266	204	13	supplementary	supplementary	JJ
10_1101-2021_01_05_425266	204	14	Fig	Fig	NNP
10_1101-2021_01_05_425266	204	15	S5	s5	NN
10_1101-2021_01_05_425266	204	16	.	.	.
10_1101-2021_01_05_425266	205	1	These	these	DT
10_1101-2021_01_05_425266	205	2	results	result	NNS
10_1101-2021_01_05_425266	205	3	showed	show	VBD
10_1101-2021_01_05_425266	205	4	that	that	IN
10_1101-2021_01_05_425266	205	5	,	,	,
10_1101-2021_01_05_425266	205	6	in	in	IN
10_1101-2021_01_05_425266	205	7	most	most	JJS
10_1101-2021_01_05_425266	205	8	of	of	IN
10_1101-2021_01_05_425266	205	9	the	the	DT
10_1101-2021_01_05_425266	205	10	segments	segment	NNS
10_1101-2021_01_05_425266	205	11	,	,	,
10_1101-2021_01_05_425266	205	12	the	the	DT
10_1101-2021_01_05_425266	205	13	RC	RC	NNP
10_1101-2021_01_05_425266	205	14	and	and	CC
10_1101-2021_01_05_425266	205	15	aRC	aRC	NNP
10_1101-2021_01_05_425266	205	16	were	be	VBD
10_1101-2021_01_05_425266	205	17	less	less	JJR
10_1101-2021_01_05_425266	205	18	than	than	IN
10_1101-2021_01_05_425266	205	19	~10	~10	NFP
10_1101-2021_01_05_425266	205	20	%	%	NN
10_1101-2021_01_05_425266	205	21	,	,	,
10_1101-2021_01_05_425266	205	22	although	although	IN
10_1101-2021_01_05_425266	205	23	larger	large	JJR
10_1101-2021_01_05_425266	205	24	differences	difference	NNS
10_1101-2021_01_05_425266	205	25	were	be	VBD
10_1101-2021_01_05_425266	205	26	noted	note	VBN
10_1101-2021_01_05_425266	205	27	in	in	IN
10_1101-2021_01_05_425266	205	28	the	the	DT
10_1101-2021_01_05_425266	205	29	inferoseptal	inferoseptal	JJ
10_1101-2021_01_05_425266	205	30	wall	wall	NN
10_1101-2021_01_05_425266	205	31	for	for	IN
10_1101-2021_01_05_425266	205	32	radial	radial	JJ
10_1101-2021_01_05_425266	205	33	ESS	ESS	NNP
10_1101-2021_01_05_425266	205	34	,	,	,
10_1101-2021_01_05_425266	205	35	and	and	CC
10_1101-2021_01_05_425266	205	36	anterolateral	anterolateral	JJ
10_1101-2021_01_05_425266	205	37	wall	wall	NN
10_1101-2021_01_05_425266	205	38	for	for	IN
10_1101-2021_01_05_425266	205	39	circumferential	circumferential	NN
10_1101-2021_01_05_425266	205	40	.	.	.
10_1101-2021_01_05_425266	206	1	Supplementary	supplementary	JJ
10_1101-2021_01_05_425266	206	2	Table	table	NN
10_1101-2021_01_05_425266	206	3	S1	S1	NNS
10_1101-2021_01_05_425266	206	4	shows	show	VBZ
10_1101-2021_01_05_425266	206	5	the	the	DT
10_1101-2021_01_05_425266	206	6	ICC	icc	NN
10_1101-2021_01_05_425266	206	7	and	and	CC
10_1101-2021_01_05_425266	206	8	LoA	LoA	NNP
10_1101-2021_01_05_425266	206	9	per	per	IN
10_1101-2021_01_05_425266	206	10	segment	segment	NN
10_1101-2021_01_05_425266	206	11	,	,	,
10_1101-2021_01_05_425266	206	12	including	include	VBG
10_1101-2021_01_05_425266	206	13	the	the	DT
10_1101-2021_01_05_425266	206	14	whole	whole	JJ
10_1101-2021_01_05_425266	206	15	-	-	HYPH
10_1101-2021_01_05_425266	206	16	map	map	NN
10_1101-2021_01_05_425266	206	17	average	average	NN
10_1101-2021_01_05_425266	206	18	.	.	.
10_1101-2021_01_05_425266	207	1	For	for	IN
10_1101-2021_01_05_425266	207	2	radial	radial	JJ
10_1101-2021_01_05_425266	207	3	ESS	ESS	NNP
10_1101-2021_01_05_425266	207	4	,	,	,
10_1101-2021_01_05_425266	207	5	the	the	DT
10_1101-2021_01_05_425266	207	6	ICC	ICC	NNP
10_1101-2021_01_05_425266	207	7	results	result	NNS
10_1101-2021_01_05_425266	207	8	showed	show	VBD
10_1101-2021_01_05_425266	207	9	excellent	excellent	JJ
10_1101-2021_01_05_425266	207	10	repeatability	repeatability	NN
10_1101-2021_01_05_425266	207	11	across	across	IN
10_1101-2021_01_05_425266	207	12	all	all	DT
10_1101-2021_01_05_425266	207	13	segments	segment	NNS
10_1101-2021_01_05_425266	207	14	.	.	.
10_1101-2021_01_05_425266	208	1	Circumferentially	circumferentially	RB
10_1101-2021_01_05_425266	208	2	,	,	,
10_1101-2021_01_05_425266	208	3	all	all	DT
10_1101-2021_01_05_425266	208	4	segments	segment	NNS
10_1101-2021_01_05_425266	208	5	showed	show	VBD
10_1101-2021_01_05_425266	208	6	good	good	JJ
10_1101-2021_01_05_425266	208	7	to	to	IN
10_1101-2021_01_05_425266	208	8	excellent	excellent	JJ
10_1101-2021_01_05_425266	208	9	repeatability	repeatability	NN
10_1101-2021_01_05_425266	208	10	,	,	,
10_1101-2021_01_05_425266	208	11	except	except	IN
10_1101-2021_01_05_425266	208	12	for	for	IN
10_1101-2021_01_05_425266	208	13	the	the	DT
10_1101-2021_01_05_425266	208	14	basal-	basal-	NN
10_1101-2021_01_05_425266	208	15	and	and	CC
10_1101-2021_01_05_425266	208	16	mid	mid	JJ
10_1101-2021_01_05_425266	208	17	-	-	JJ
10_1101-2021_01_05_425266	208	18	inferolateral	inferolateral	JJ
10_1101-2021_01_05_425266	208	19	segments	segment	NNS
10_1101-2021_01_05_425266	208	20	.	.	.
10_1101-2021_01_05_425266	209	1	LoAs	LoAs	NNP
10_1101-2021_01_05_425266	209	2	showed	show	VBD
10_1101-2021_01_05_425266	209	3	that	that	IN
10_1101-2021_01_05_425266	209	4	95	95	CD
10_1101-2021_01_05_425266	209	5	%	%	NN
10_1101-2021_01_05_425266	209	6	of	of	IN
10_1101-2021_01_05_425266	209	7	differences	difference	NNS
10_1101-2021_01_05_425266	209	8	occurred	occur	VBD
10_1101-2021_01_05_425266	209	9	within	within	IN
10_1101-2021_01_05_425266	209	10	~3	~3	CD
10_1101-2021_01_05_425266	209	11	%	%	NN
10_1101-2021_01_05_425266	209	12	and	and	CC
10_1101-2021_01_05_425266	209	13	~4	~4	CD
10_1101-2021_01_05_425266	209	14	%	%	NN
10_1101-2021_01_05_425266	209	15	intervals	interval	NNS
10_1101-2021_01_05_425266	209	16	for	for	IN
10_1101-2021_01_05_425266	209	17	circumferential	circumferential	JJ
10_1101-2021_01_05_425266	209	18	and	and	CC
10_1101-2021_01_05_425266	209	19	radial	radial	JJ
10_1101-2021_01_05_425266	209	20	ESS	ESS	NNP
10_1101-2021_01_05_425266	209	21	.	.	.
10_1101-2021_01_05_425266	210	1	C.	C.	NNP
10_1101-2021_01_05_425266	210	2	Evaluation	Evaluation	NNP
10_1101-2021_01_05_425266	210	3	in	in	IN
10_1101-2021_01_05_425266	210	4	Patients	Patients	NNPS
10_1101-2021_01_05_425266	210	5	with	with	IN
10_1101-2021_01_05_425266	210	6	Cardiovascular	Cardiovascular	NNP
10_1101-2021_01_05_425266	210	7	Disease	Disease	NNP
10_1101-2021_01_05_425266	210	8	Regional	Regional	NNP
10_1101-2021_01_05_425266	210	9	measures	measure	NNS
10_1101-2021_01_05_425266	210	10	of	of	IN
10_1101-2021_01_05_425266	210	11	ESS	ESS	NNP
10_1101-2021_01_05_425266	210	12	averaged	average	VBD
10_1101-2021_01_05_425266	210	13	over	over	IN
10_1101-2021_01_05_425266	210	14	patient	patient	JJ
10_1101-2021_01_05_425266	210	15	population	population	NN
10_1101-2021_01_05_425266	210	16	(	(	-LRB-
10_1101-2021_01_05_425266	210	17	see	see	VB
10_1101-2021_01_05_425266	210	18	supplementary	supplementary	JJ
10_1101-2021_01_05_425266	210	19	figure	figure	NN
10_1101-2021_01_05_425266	210	20	S6	S6	NNP
10_1101-2021_01_05_425266	210	21	)	)	-RRB-
10_1101-2021_01_05_425266	210	22	,	,	,
10_1101-2021_01_05_425266	210	23	as	as	RB
10_1101-2021_01_05_425266	210	24	well	well	RB
10_1101-2021_01_05_425266	210	25	as	as	IN
10_1101-2021_01_05_425266	210	26	global	global	JJ
10_1101-2021_01_05_425266	210	27	values	value	NNS
10_1101-2021_01_05_425266	210	28	of	of	IN
10_1101-2021_01_05_425266	210	29	strain	strain	NN
10_1101-2021_01_05_425266	210	30	and	and	CC
10_1101-2021_01_05_425266	210	31	SR	SR	NNP
10_1101-2021_01_05_425266	210	32	across	across	IN
10_1101-2021_01_05_425266	210	33	the	the	DT
10_1101-2021_01_05_425266	210	34	cardiac	cardiac	JJ
10_1101-2021_01_05_425266	210	35	cycle	cycle	NN
10_1101-2021_01_05_425266	210	36	(	(	-LRB-
10_1101-2021_01_05_425266	210	37	Fig	fig	NN
10_1101-2021_01_05_425266	210	38	.	.	.
10_1101-2021_01_05_425266	211	1	5	5	LS
10_1101-2021_01_05_425266	211	2	)	)	-RRB-
10_1101-2021_01_05_425266	211	3	for	for	IN
10_1101-2021_01_05_425266	211	4	all	all	DT
10_1101-2021_01_05_425266	211	5	100	100	CD
10_1101-2021_01_05_425266	211	6	subjects	subject	NNS
10_1101-2021_01_05_425266	211	7	in	in	IN
10_1101-2021_01_05_425266	211	8	the	the	DT
10_1101-2021_01_05_425266	211	9	ACDC	ACDC	NNP
10_1101-2021_01_05_425266	211	10	train	train	NN
10_1101-2021_01_05_425266	211	11	set	set	NN
10_1101-2021_01_05_425266	211	12	showed	show	VBD
10_1101-2021_01_05_425266	211	13	progressive	progressive	JJ
10_1101-2021_01_05_425266	211	14	decline	decline	NN
10_1101-2021_01_05_425266	211	15	in	in	IN
10_1101-2021_01_05_425266	211	16	strain	strain	JJ
10_1101-2021_01_05_425266	211	17	values	value	NNS
10_1101-2021_01_05_425266	211	18	TABLE	TABLE	NNP
10_1101-2021_01_05_425266	211	19	II	ii	CD
10_1101-2021_01_05_425266	211	20	NORMAL	normal	JJ
10_1101-2021_01_05_425266	211	21	RANGES	ranges	NN
10_1101-2021_01_05_425266	211	22	OF	of	IN
10_1101-2021_01_05_425266	211	23	STRAIN	strain	NN
10_1101-2021_01_05_425266	211	24	WITH	with	IN
10_1101-2021_01_05_425266	211	25	DEEPSTRAIN	deepstrain	NN
10_1101-2021_01_05_425266	211	26	IN	in	IN
10_1101-2021_01_05_425266	211	27	HEALTHY	healthy	JJ
10_1101-2021_01_05_425266	211	28	SUBJECTS	subject	NNS
10_1101-2021_01_05_425266	211	29	.	.	.
10_1101-2021_01_05_425266	212	1	TAGGING	tagging	NN
10_1101-2021_01_05_425266	212	2	-	-	HYPH
10_1101-2021_01_05_425266	212	3	BASED	based	NN
10_1101-2021_01_05_425266	212	4	MEASURES	measures	NN
10_1101-2021_01_05_425266	212	5	ARE	are	VBP
10_1101-2021_01_05_425266	212	6	SHOWN	show	VBN
10_1101-2021_01_05_425266	212	7	FOR	for	IN
10_1101-2021_01_05_425266	212	8	THE	the	DT
10_1101-2021_01_05_425266	212	9	CMAC	CMAC	NNP
10_1101-2021_01_05_425266	212	10	COHORT	COHORT	NNP
10_1101-2021_01_05_425266	212	11	.	.	.
10_1101-2021_01_05_425266	213	1	DEEPSTRAIN	deepstrain	NN
10_1101-2021_01_05_425266	213	2	REPEATABILITY	REPEATABILITY	NNP
10_1101-2021_01_05_425266	213	3	IS	be	VBZ
10_1101-2021_01_05_425266	213	4	SHOWN	show	VBN
10_1101-2021_01_05_425266	213	5	FOR	for	IN
10_1101-2021_01_05_425266	213	6	TWO	two	CD
10_1101-2021_01_05_425266	213	7	ACQUISITIONS	acquisition	NNS
10_1101-2021_01_05_425266	213	8	(	(	-LRB-
10_1101-2021_01_05_425266	213	9	ACQ	acq	NN
10_1101-2021_01_05_425266	213	10	)	)	-RRB-
10_1101-2021_01_05_425266	213	11	.	.	.
10_1101-2021_01_05_425266	214	1	TABLE	TABLE	NNS
10_1101-2021_01_05_425266	214	2	III	iii	CD
10_1101-2021_01_05_425266	214	3	INTRA	INTRA	NNS
10_1101-2021_01_05_425266	214	4	-	-	HYPH
10_1101-2021_01_05_425266	214	5	SCANNER	scanner	NN
10_1101-2021_01_05_425266	214	6	REPEATABILITY	REPEATABILITY	NNP
10_1101-2021_01_05_425266	214	7	OF	of	IN
10_1101-2021_01_05_425266	214	8	GLOBAL	GLOBAL	NNP
10_1101-2021_01_05_425266	214	9	CIRCUMFERENTIAL	CIRCUMFERENTIAL	NNP
10_1101-2021_01_05_425266	214	10	(	(	-LRB-
10_1101-2021_01_05_425266	214	11	CIRC	CIRC	NNP
10_1101-2021_01_05_425266	214	12	)	)	-RRB-
10_1101-2021_01_05_425266	214	13	AND	and	CC
10_1101-2021_01_05_425266	214	14	RADIAL	RADIAL	NNP
10_1101-2021_01_05_425266	214	15	(	(	-LRB-
10_1101-2021_01_05_425266	214	16	RAD	RAD	NNP
10_1101-2021_01_05_425266	214	17	)	)	-RRB-
10_1101-2021_01_05_425266	214	18	STRAIN	STRAIN	VBD
10_1101-2021_01_05_425266	214	19	MEASURES	MEASURES	NNP
10_1101-2021_01_05_425266	214	20	.	.	.
10_1101-2021_01_05_425266	215	1	.CC	.CC	NFP
10_1101-2021_01_05_425266	215	2	-	-	:
10_1101-2021_01_05_425266	215	3	BY	by	IN
10_1101-2021_01_05_425266	215	4	-	-	HYPH
10_1101-2021_01_05_425266	215	5	NC	NC	NNP
10_1101-2021_01_05_425266	215	6	-	-	HYPH
10_1101-2021_01_05_425266	215	7	ND	ND	NNP
10_1101-2021_01_05_425266	215	8	4.0	4.0	CD
10_1101-2021_01_05_425266	215	9	International	International	NNP
10_1101-2021_01_05_425266	215	10	licenseavailable	licenseavailable	NN
10_1101-2021_01_05_425266	215	11	under	under	IN
10_1101-2021_01_05_425266	215	12	a	a	DT
10_1101-2021_01_05_425266	215	13	(	(	-LRB-
10_1101-2021_01_05_425266	215	14	which	which	WDT
10_1101-2021_01_05_425266	215	15	was	be	VBD
10_1101-2021_01_05_425266	215	16	not	not	RB
10_1101-2021_01_05_425266	215	17	certified	certify	VBN
10_1101-2021_01_05_425266	215	18	by	by	IN
10_1101-2021_01_05_425266	215	19	peer	peer	NN
10_1101-2021_01_05_425266	215	20	review	review	NN
10_1101-2021_01_05_425266	215	21	)	)	-RRB-
10_1101-2021_01_05_425266	215	22	is	be	VBZ
10_1101-2021_01_05_425266	215	23	the	the	DT
10_1101-2021_01_05_425266	215	24	author	author	NN
10_1101-2021_01_05_425266	215	25	/	/	SYM
10_1101-2021_01_05_425266	215	26	funder	funder	NN
10_1101-2021_01_05_425266	215	27	,	,	,
10_1101-2021_01_05_425266	215	28	who	who	WP
10_1101-2021_01_05_425266	215	29	has	have	VBZ
10_1101-2021_01_05_425266	215	30	granted	grant	VBN
10_1101-2021_01_05_425266	215	31	bioRxiv	biorxiv	IN
10_1101-2021_01_05_425266	215	32	a	a	DT
10_1101-2021_01_05_425266	215	33	license	license	NN
10_1101-2021_01_05_425266	215	34	to	to	TO
10_1101-2021_01_05_425266	215	35	display	display	VB
10_1101-2021_01_05_425266	215	36	the	the	DT
10_1101-2021_01_05_425266	215	37	preprint	preprint	NN
10_1101-2021_01_05_425266	215	38	in	in	IN
10_1101-2021_01_05_425266	215	39	perpetuity	perpetuity	NN
10_1101-2021_01_05_425266	215	40	.	.	.
10_1101-2021_01_05_425266	216	1	It	-PRON-	PRP
10_1101-2021_01_05_425266	216	2	is	be	VBZ
10_1101-2021_01_05_425266	216	3	made	make	VBN
10_1101-2021_01_05_425266	216	4	The	the	DT
10_1101-2021_01_05_425266	216	5	copyright	copyright	NN
10_1101-2021_01_05_425266	216	6	holder	holder	NN
10_1101-2021_01_05_425266	216	7	for	for	IN
10_1101-2021_01_05_425266	216	8	this	this	DT
10_1101-2021_01_05_425266	216	9	preprintthis	preprintthis	NN
10_1101-2021_01_05_425266	216	10	version	version	NN
10_1101-2021_01_05_425266	216	11	posted	post	VBD
10_1101-2021_01_05_425266	216	12	January	January	NNP
10_1101-2021_01_05_425266	216	13	7	7	CD
10_1101-2021_01_05_425266	216	14	,	,	,
10_1101-2021_01_05_425266	216	15	2021	2021	CD
10_1101-2021_01_05_425266	216	16	.	.	.
10_1101-2021_01_05_425266	216	17	;	;	:
10_1101-2021_01_05_425266	216	18	https://doi.org/10.1101/2021.01.05.425266doi	https://doi.org/10.1101/2021.01.05.425266doi	NNP
10_1101-2021_01_05_425266	216	19	:	:	:
10_1101-2021_01_05_425266	216	20	bioRxiv	biorxiv	IN
10_1101-2021_01_05_425266	216	21	preprint	preprint	NN
10_1101-2021_01_05_425266	216	22	https://doi.org/10.1101/2021.01.05.425266	https://doi.org/10.1101/2021.01.05.425266	NN
10_1101-2021_01_05_425266	216	23	http://creativecommons.org/licenses/by-nc-nd/4.0/	http://creativecommons.org/licenses/by-nc-nd/4.0/	NN
10_1101-2021_01_05_425266	216	24	starting	start	VBG
10_1101-2021_01_05_425266	216	25	with	with	IN
10_1101-2021_01_05_425266	216	26	HCM	HCM	NNP
10_1101-2021_01_05_425266	216	27	,	,	,
10_1101-2021_01_05_425266	216	28	followed	follow	VBN
10_1101-2021_01_05_425266	216	29	by	by	IN
10_1101-2021_01_05_425266	216	30	ARV	ARV	NNP
10_1101-2021_01_05_425266	216	31	,	,	,
10_1101-2021_01_05_425266	216	32	MI	MI	NNP
10_1101-2021_01_05_425266	216	33	,	,	,
10_1101-2021_01_05_425266	216	34	and	and	CC
10_1101-2021_01_05_425266	216	35	DCM	DCM	NNP
10_1101-2021_01_05_425266	216	36	.	.	.
10_1101-2021_01_05_425266	217	1	Specifically	specifically	RB
10_1101-2021_01_05_425266	217	2	,	,	,
10_1101-2021_01_05_425266	217	3	relative	relative	JJ
10_1101-2021_01_05_425266	217	4	to	to	IN
10_1101-2021_01_05_425266	217	5	the	the	DT
10_1101-2021_01_05_425266	217	6	healthy	healthy	JJ
10_1101-2021_01_05_425266	217	7	group	group	NN
10_1101-2021_01_05_425266	217	8	,	,	,
10_1101-2021_01_05_425266	217	9	radial	radial	JJ
10_1101-2021_01_05_425266	217	10	ESS	ESS	NNP
10_1101-2021_01_05_425266	217	11	was	be	VBD
10_1101-2021_01_05_425266	217	12	reduced	reduce	VBN
10_1101-2021_01_05_425266	217	13	in	in	IN
10_1101-2021_01_05_425266	217	14	all	all	DT
10_1101-2021_01_05_425266	217	15	patient	patient	JJ
10_1101-2021_01_05_425266	217	16	populations	population	NNS
10_1101-2021_01_05_425266	217	17	.	.	.
10_1101-2021_01_05_425266	218	1	Radial	radial	JJ
10_1101-2021_01_05_425266	218	2	systolic	systolic	NN
10_1101-2021_01_05_425266	218	3	and	and	CC
10_1101-2021_01_05_425266	218	4	early-	early-	NN
10_1101-2021_01_05_425266	218	5	diastolic	diastolic	NN
10_1101-2021_01_05_425266	218	6	SR	SR	NNP
10_1101-2021_01_05_425266	218	7	were	be	VBD
10_1101-2021_01_05_425266	218	8	also	also	RB
10_1101-2021_01_05_425266	218	9	reduced	reduce	VBN
10_1101-2021_01_05_425266	218	10	in	in	IN
10_1101-2021_01_05_425266	218	11	all	all	DT
10_1101-2021_01_05_425266	218	12	patient	patient	JJ
10_1101-2021_01_05_425266	218	13	groups	group	NNS
10_1101-2021_01_05_425266	218	14	,	,	,
10_1101-2021_01_05_425266	218	15	except	except	IN
10_1101-2021_01_05_425266	218	16	for	for	IN
10_1101-2021_01_05_425266	218	17	systolic	systolic	JJ
10_1101-2021_01_05_425266	218	18	SR	SR	NNP
10_1101-2021_01_05_425266	218	19	in	in	IN
10_1101-2021_01_05_425266	218	20	HCM	HCM	NNP
10_1101-2021_01_05_425266	218	21	.	.	.
10_1101-2021_01_05_425266	219	1	Fig	fig	NN
10_1101-2021_01_05_425266	219	2	.	.	.
10_1101-2021_01_05_425266	220	1	6	6	CD
10_1101-2021_01_05_425266	220	2	shows	show	NNS
10_1101-2021_01_05_425266	220	3	both	both	CC
10_1101-2021_01_05_425266	220	4	the	the	DT
10_1101-2021_01_05_425266	220	5	cine	cine	NN
10_1101-2021_01_05_425266	220	6	-	-	HYPH
10_1101-2021_01_05_425266	220	7	MRI	mri	NN
10_1101-2021_01_05_425266	220	8	image	image	NN
10_1101-2021_01_05_425266	220	9	and	and	CC
10_1101-2021_01_05_425266	220	10	the	the	DT
10_1101-2021_01_05_425266	220	11	circumferential	circumferential	JJ
10_1101-2021_01_05_425266	220	12	ESS	ESS	NNP
10_1101-2021_01_05_425266	220	13	polar	polar	JJ
10_1101-2021_01_05_425266	220	14	map	map	NN
10_1101-2021_01_05_425266	220	15	of	of	IN
10_1101-2021_01_05_425266	220	16	a	a	DT
10_1101-2021_01_05_425266	220	17	healthy	healthy	JJ
10_1101-2021_01_05_425266	220	18	subject	subject	NN
10_1101-2021_01_05_425266	220	19	and	and	CC
10_1101-2021_01_05_425266	220	20	two	two	CD
10_1101-2021_01_05_425266	220	21	patients	patient	NNS
10_1101-2021_01_05_425266	220	22	with	with	IN
10_1101-2021_01_05_425266	220	23	MI	MI	NNP
10_1101-2021_01_05_425266	220	24	.	.	.
10_1101-2021_01_05_425266	221	1	Strain	strain	JJ
10_1101-2021_01_05_425266	221	2	values	value	NNS
10_1101-2021_01_05_425266	221	3	in	in	IN
10_1101-2021_01_05_425266	221	4	the	the	DT
10_1101-2021_01_05_425266	221	5	healthy	healthy	JJ
10_1101-2021_01_05_425266	221	6	polar	polar	JJ
10_1101-2021_01_05_425266	221	7	map	map	NN
10_1101-2021_01_05_425266	221	8	have	have	VBP
10_1101-2021_01_05_425266	221	9	a	a	DT
10_1101-2021_01_05_425266	221	10	homogeneous	homogeneous	JJ
10_1101-2021_01_05_425266	221	11	distribution	distribution	NN
10_1101-2021_01_05_425266	221	12	.	.	.
10_1101-2021_01_05_425266	222	1	In	in	IN
10_1101-2021_01_05_425266	222	2	contrast	contrast	NN
10_1101-2021_01_05_425266	222	3	,	,	,
10_1101-2021_01_05_425266	222	4	in	in	IN
10_1101-2021_01_05_425266	222	5	one	one	CD
10_1101-2021_01_05_425266	222	6	MI	MI	NNP
10_1101-2021_01_05_425266	222	7	patient	patient	NN
10_1101-2021_01_05_425266	222	8	the	the	DT
10_1101-2021_01_05_425266	222	9	map	map	NN
10_1101-2021_01_05_425266	222	10	indicates	indicate	VBZ
10_1101-2021_01_05_425266	222	11	a	a	DT
10_1101-2021_01_05_425266	222	12	diffused	diffuse	VBN
10_1101-2021_01_05_425266	222	13	reduction	reduction	NN
10_1101-2021_01_05_425266	222	14	,	,	,
10_1101-2021_01_05_425266	222	15	and	and	CC
10_1101-2021_01_05_425266	222	16	inspection	inspection	NN
10_1101-2021_01_05_425266	222	17	of	of	IN
10_1101-2021_01_05_425266	222	18	the	the	DT
10_1101-2021_01_05_425266	222	19	myocardium	myocardium	NN
10_1101-2021_01_05_425266	222	20	on	on	IN
10_1101-2021_01_05_425266	222	21	the	the	DT
10_1101-2021_01_05_425266	222	22	cine	cine	NN
10_1101-2021_01_05_425266	222	23	-	-	HYPH
10_1101-2021_01_05_425266	222	24	MRI	mri	NN
10_1101-2021_01_05_425266	222	25	image	image	NN
10_1101-2021_01_05_425266	222	26	shows	show	VBZ
10_1101-2021_01_05_425266	222	27	an	an	DT
10_1101-2021_01_05_425266	222	28	anteroseptal	anteroseptal	JJ
10_1101-2021_01_05_425266	222	29	infarct	infarct	NN
10_1101-2021_01_05_425266	222	30	that	that	WDT
10_1101-2021_01_05_425266	222	31	coincides	coincide	VBZ
10_1101-2021_01_05_425266	222	32	in	in	IN
10_1101-2021_01_05_425266	222	33	location	location	NN
10_1101-2021_01_05_425266	222	34	with	with	IN
10_1101-2021_01_05_425266	222	35	segments	segment	NNS
10_1101-2021_01_05_425266	222	36	with	with	IN
10_1101-2021_01_05_425266	222	37	more	more	RBR
10_1101-2021_01_05_425266	222	38	prominent	prominent	JJ
10_1101-2021_01_05_425266	222	39	decreases	decrease	NNS
10_1101-2021_01_05_425266	222	40	in	in	IN
10_1101-2021_01_05_425266	222	41	strain	strain	NN
10_1101-2021_01_05_425266	222	42	.	.	.
10_1101-2021_01_05_425266	223	1	In	in	IN
10_1101-2021_01_05_425266	223	2	a	a	DT
10_1101-2021_01_05_425266	223	3	different	different	JJ
10_1101-2021_01_05_425266	223	4	MI	MI	NNP
10_1101-2021_01_05_425266	223	5	patient	patient	NN
10_1101-2021_01_05_425266	223	6	with	with	IN
10_1101-2021_01_05_425266	223	7	an	an	DT
10_1101-2021_01_05_425266	223	8	infarct	infarct	NN
10_1101-2021_01_05_425266	223	9	located	locate	VBN
10_1101-2021_01_05_425266	223	10	in	in	IN
10_1101-2021_01_05_425266	223	11	a	a	DT
10_1101-2021_01_05_425266	223	12	similar	similar	JJ
10_1101-2021_01_05_425266	223	13	septal	septal	JJ
10_1101-2021_01_05_425266	223	14	region	region	NN
10_1101-2021_01_05_425266	223	15	,	,	,
10_1101-2021_01_05_425266	223	16	strain	strain	NN
10_1101-2021_01_05_425266	223	17	changes	change	NNS
10_1101-2021_01_05_425266	223	18	are	be	VBP
10_1101-2021_01_05_425266	223	19	focal	focal	JJ
10_1101-2021_01_05_425266	223	20	and	and	CC
10_1101-2021_01_05_425266	223	21	localized	localize	VBN
10_1101-2021_01_05_425266	223	22	to	to	IN
10_1101-2021_01_05_425266	223	23	the	the	DT
10_1101-2021_01_05_425266	223	24	anteroseptal	anteroseptal	JJ
10_1101-2021_01_05_425266	223	25	wall	wall	NN
10_1101-2021_01_05_425266	223	26	.	.	.
10_1101-2021_01_05_425266	224	1	IV	IV	NNP
10_1101-2021_01_05_425266	224	2	.	.	.
10_1101-2021_01_05_425266	225	1	DISCUSSION	DISCUSSION	NNP
10_1101-2021_01_05_425266	225	2	Learning	Learning	NNP
10_1101-2021_01_05_425266	225	3	-	-	HYPH
10_1101-2021_01_05_425266	225	4	based	base	VBN
10_1101-2021_01_05_425266	225	5	methodologies	methodology	NNS
10_1101-2021_01_05_425266	225	6	have	have	VBP
10_1101-2021_01_05_425266	225	7	the	the	DT
10_1101-2021_01_05_425266	225	8	potential	potential	NN
10_1101-2021_01_05_425266	225	9	to	to	TO
10_1101-2021_01_05_425266	225	10	meet	meet	VB
10_1101-2021_01_05_425266	225	11	the	the	DT
10_1101-2021_01_05_425266	225	12	technical	technical	JJ
10_1101-2021_01_05_425266	225	13	challenges	challenge	NNS
10_1101-2021_01_05_425266	225	14	associated	associate	VBN
10_1101-2021_01_05_425266	225	15	with	with	IN
10_1101-2021_01_05_425266	225	16	myocardial	myocardial	JJ
10_1101-2021_01_05_425266	225	17	strain	strain	NN
10_1101-2021_01_05_425266	225	18	analysis	analysis	NN
10_1101-2021_01_05_425266	225	19	.	.	.
10_1101-2021_01_05_425266	226	1	In	in	IN
10_1101-2021_01_05_425266	226	2	this	this	DT
10_1101-2021_01_05_425266	226	3	study	study	NN
10_1101-2021_01_05_425266	226	4	we	-PRON-	PRP
10_1101-2021_01_05_425266	226	5	developed	develop	VBD
10_1101-2021_01_05_425266	226	6	a	a	DT
10_1101-2021_01_05_425266	226	7	fast	fast	JJ
10_1101-2021_01_05_425266	226	8	DL	DL	NNP
10_1101-2021_01_05_425266	226	9	framework	framework	NN
10_1101-2021_01_05_425266	226	10	for	for	IN
10_1101-2021_01_05_425266	226	11	strain	strain	JJ
10_1101-2021_01_05_425266	226	12	analysis	analysis	NN
10_1101-2021_01_05_425266	226	13	based	base	VBN
10_1101-2021_01_05_425266	226	14	on	on	IN
10_1101-2021_01_05_425266	226	15	cine	cine	NN
10_1101-2021_01_05_425266	226	16	-	-	HYPH
10_1101-2021_01_05_425266	226	17	MRI	mri	NN
10_1101-2021_01_05_425266	226	18	data	datum	NNS
10_1101-2021_01_05_425266	226	19	that	that	WDT
10_1101-2021_01_05_425266	226	20	does	do	VBZ
10_1101-2021_01_05_425266	226	21	not	not	RB
10_1101-2021_01_05_425266	226	22	make	make	VB
10_1101-2021_01_05_425266	226	23	assumptions	assumption	NNS
10_1101-2021_01_05_425266	226	24	about	about	IN
10_1101-2021_01_05_425266	226	25	the	the	DT
10_1101-2021_01_05_425266	226	26	underlying	underlie	VBG
10_1101-2021_01_05_425266	226	27	physiology	physiology	NN
10_1101-2021_01_05_425266	226	28	,	,	,
10_1101-2021_01_05_425266	226	29	and	and	CC
10_1101-2021_01_05_425266	226	30	we	-PRON-	PRP
10_1101-2021_01_05_425266	226	31	benchmarked	benchmarke	VBD
10_1101-2021_01_05_425266	226	32	its	-PRON-	PRP$
10_1101-2021_01_05_425266	226	33	segmentation	segmentation	NN
10_1101-2021_01_05_425266	226	34	,	,	,
10_1101-2021_01_05_425266	226	35	motion	motion	NN
10_1101-2021_01_05_425266	226	36	,	,	,
10_1101-2021_01_05_425266	226	37	and	and	CC
10_1101-2021_01_05_425266	226	38	strain	strain	VB
10_1101-2021_01_05_425266	226	39	estimation	estimation	NN
10_1101-2021_01_05_425266	226	40	components	component	NNS
10_1101-2021_01_05_425266	226	41	against	against	IN
10_1101-2021_01_05_425266	226	42	the	the	DT
10_1101-2021_01_05_425266	226	43	state	state	NN
10_1101-2021_01_05_425266	226	44	-	-	HYPH
10_1101-2021_01_05_425266	226	45	of	of	IN
10_1101-2021_01_05_425266	226	46	-	-	HYPH
10_1101-2021_01_05_425266	226	47	the	the	DT
10_1101-2021_01_05_425266	226	48	-	-	HYPH
10_1101-2021_01_05_425266	226	49	art	art	NN
10_1101-2021_01_05_425266	226	50	.	.	.
10_1101-2021_01_05_425266	227	1	We	-PRON-	PRP
10_1101-2021_01_05_425266	227	2	compared	compare	VBD
10_1101-2021_01_05_425266	227	3	our	-PRON-	PRP$
10_1101-2021_01_05_425266	227	4	segmentations	segmentation	NNS
10_1101-2021_01_05_425266	227	5	to	to	IN
10_1101-2021_01_05_425266	227	6	other	other	JJ
10_1101-2021_01_05_425266	227	7	DL	DL	NNP
10_1101-2021_01_05_425266	227	8	methods	method	NNS
10_1101-2021_01_05_425266	227	9	,	,	,
10_1101-2021_01_05_425266	227	10	motion	motion	NN
10_1101-2021_01_05_425266	227	11	estimates	estimate	NNS
10_1101-2021_01_05_425266	227	12	to	to	IN
10_1101-2021_01_05_425266	227	13	other	other	JJ
10_1101-2021_01_05_425266	227	14	non	non	JJ
10_1101-2021_01_05_425266	227	15	-	-	JJ
10_1101-2021_01_05_425266	227	16	learning	learning	JJ
10_1101-2021_01_05_425266	227	17	techniques	technique	NNS
10_1101-2021_01_05_425266	227	18	,	,	,
10_1101-2021_01_05_425266	227	19	and	and	CC
10_1101-2021_01_05_425266	227	20	strain	strain	VB
10_1101-2021_01_05_425266	227	21	measures	measure	NNS
10_1101-2021_01_05_425266	227	22	to	to	IN
10_1101-2021_01_05_425266	227	23	a	a	DT
10_1101-2021_01_05_425266	227	24	reference	reference	NN
10_1101-2021_01_05_425266	227	25	tagging	tagging	NN
10_1101-2021_01_05_425266	227	26	-	-	HYPH
10_1101-2021_01_05_425266	227	27	MRI	mri	NN
10_1101-2021_01_05_425266	227	28	technique	technique	NN
10_1101-2021_01_05_425266	227	29	.	.	.
10_1101-2021_01_05_425266	228	1	We	-PRON-	PRP
10_1101-2021_01_05_425266	228	2	also	also	RB
10_1101-2021_01_05_425266	228	3	presented	present	VBD
10_1101-2021_01_05_425266	228	4	the	the	DT
10_1101-2021_01_05_425266	228	5	intra	intra	JJ
10_1101-2021_01_05_425266	228	6	-	-	JJ
10_1101-2021_01_05_425266	228	7	scanner	scanner	JJ
10_1101-2021_01_05_425266	228	8	repeatability	repeatability	NN
10_1101-2021_01_05_425266	228	9	of	of	IN
10_1101-2021_01_05_425266	228	10	DeepStrain	DeepStrain	NNP
10_1101-2021_01_05_425266	228	11	-	-	HYPH
10_1101-2021_01_05_425266	228	12	based	base	VBN
10_1101-2021_01_05_425266	228	13	global	global	JJ
10_1101-2021_01_05_425266	228	14	and	and	CC
10_1101-2021_01_05_425266	228	15	regional	regional	JJ
10_1101-2021_01_05_425266	228	16	strain	strain	NN
10_1101-2021_01_05_425266	228	17	measures	measure	NNS
10_1101-2021_01_05_425266	228	18	,	,	,
10_1101-2021_01_05_425266	228	19	and	and	CC
10_1101-2021_01_05_425266	228	20	showed	show	VBD
10_1101-2021_01_05_425266	228	21	that	that	IN
10_1101-2021_01_05_425266	228	22	these	these	DT
10_1101-2021_01_05_425266	228	23	measures	measure	NNS
10_1101-2021_01_05_425266	228	24	were	be	VBD
10_1101-2021_01_05_425266	228	25	robust	robust	JJ
10_1101-2021_01_05_425266	228	26	to	to	IN
10_1101-2021_01_05_425266	228	27	image	image	NN
10_1101-2021_01_05_425266	228	28	artifacts	artifact	NNS
10_1101-2021_01_05_425266	228	29	in	in	IN
10_1101-2021_01_05_425266	228	30	some	some	DT
10_1101-2021_01_05_425266	228	31	cases	case	NNS
10_1101-2021_01_05_425266	228	32	.	.	.
10_1101-2021_01_05_425266	229	1	Global	global	JJ
10_1101-2021_01_05_425266	229	2	and	and	CC
10_1101-2021_01_05_425266	229	3	regional	regional	JJ
10_1101-2021_01_05_425266	229	4	applications	application	NNS
10_1101-2021_01_05_425266	229	5	were	be	VBD
10_1101-2021_01_05_425266	229	6	also	also	RB
10_1101-2021_01_05_425266	229	7	presented	present	VBN
10_1101-2021_01_05_425266	229	8	to	to	TO
10_1101-2021_01_05_425266	229	9	demonstrate	demonstrate	VB
10_1101-2021_01_05_425266	229	10	the	the	DT
10_1101-2021_01_05_425266	229	11	potential	potential	JJ
10_1101-2021_01_05_425266	229	12	clinical	clinical	JJ
10_1101-2021_01_05_425266	229	13	utilization	utilization	NN
10_1101-2021_01_05_425266	229	14	of	of	IN
10_1101-2021_01_05_425266	229	15	our	-PRON-	PRP$
10_1101-2021_01_05_425266	229	16	approach	approach	NN
10_1101-2021_01_05_425266	229	17	.	.	.
10_1101-2021_01_05_425266	230	1	A.	A.	NNP
10_1101-2021_01_05_425266	230	2	Volumetric	Volumetric	NNP
10_1101-2021_01_05_425266	230	3	Measures	measure	VBZ
10_1101-2021_01_05_425266	230	4	Segmentation	Segmentation	NNP
10_1101-2021_01_05_425266	230	5	from	from	IN
10_1101-2021_01_05_425266	230	6	MRI	MRI	NNP
10_1101-2021_01_05_425266	230	7	data	datum	NNS
10_1101-2021_01_05_425266	230	8	is	be	VBZ
10_1101-2021_01_05_425266	230	9	a	a	DT
10_1101-2021_01_05_425266	230	10	task	task	NN
10_1101-2021_01_05_425266	230	11	particularly	particularly	RB
10_1101-2021_01_05_425266	230	12	well	well	RB
10_1101-2021_01_05_425266	230	13	suited	suited	JJ
10_1101-2021_01_05_425266	230	14	for	for	IN
10_1101-2021_01_05_425266	230	15	convolutional	convolutional	JJ
10_1101-2021_01_05_425266	230	16	networks	network	NNS
10_1101-2021_01_05_425266	230	17	given	give	VBN
10_1101-2021_01_05_425266	230	18	the	the	DT
10_1101-2021_01_05_425266	230	19	excellent	excellent	JJ
10_1101-2021_01_05_425266	230	20	soft	soft	JJ
10_1101-2021_01_05_425266	230	21	-	-	HYPH
10_1101-2021_01_05_425266	230	22	tissue	tissue	NN
10_1101-2021_01_05_425266	230	23	contrast	contrast	NN
10_1101-2021_01_05_425266	230	24	,	,	,
10_1101-2021_01_05_425266	230	25	thus	thus	RB
10_1101-2021_01_05_425266	230	26	all	all	DT
10_1101-2021_01_05_425266	230	27	top	top	JJ
10_1101-2021_01_05_425266	230	28	performing	perform	VBG
10_1101-2021_01_05_425266	230	29	methods	method	NNS
10_1101-2021_01_05_425266	230	30	on	on	IN
10_1101-2021_01_05_425266	230	31	the	the	DT
10_1101-2021_01_05_425266	230	32	ACDC	ACDC	NNP
10_1101-2021_01_05_425266	230	33	test	test	NN
10_1101-2021_01_05_425266	230	34	set	set	NN
10_1101-2021_01_05_425266	230	35	were	be	VBD
10_1101-2021_01_05_425266	230	36	based	base	VBN
10_1101-2021_01_05_425266	230	37	on	on	IN
10_1101-2021_01_05_425266	230	38	DL	DL	NNP
10_1101-2021_01_05_425266	230	39	approaches	approach	NNS
10_1101-2021_01_05_425266	230	40	(	(	-LRB-
10_1101-2021_01_05_425266	230	41	Table	table	NN
10_1101-2021_01_05_425266	230	42	1	1	CD
10_1101-2021_01_05_425266	230	43	)	)	-RRB-
10_1101-2021_01_05_425266	230	44	.	.	.
10_1101-2021_01_05_425266	231	1	Isensee	Isensee	NNP
10_1101-2021_01_05_425266	231	2	et	et	FW
10_1101-2021_01_05_425266	231	3	al	al	NNP
10_1101-2021_01_05_425266	231	4	.	.	.
10_1101-2021_01_05_425266	232	1	[	[	-LRB-
10_1101-2021_01_05_425266	232	2	18	18	CD
10_1101-2021_01_05_425266	232	3	]	]	-RRB-
10_1101-2021_01_05_425266	232	4	had	have	VBD
10_1101-2021_01_05_425266	232	5	remarkable	remarkable	JJ
10_1101-2021_01_05_425266	232	6	success	success	NN
10_1101-2021_01_05_425266	232	7	on	on	IN
10_1101-2021_01_05_425266	232	8	geometric	geometric	JJ
10_1101-2021_01_05_425266	232	9	metrics	metric	NNS
10_1101-2021_01_05_425266	232	10	,	,	,
10_1101-2021_01_05_425266	232	11	but	but	CC
10_1101-2021_01_05_425266	232	12	this	this	DT
10_1101-2021_01_05_425266	232	13	and	and	CC
10_1101-2021_01_05_425266	232	14	other	other	JJ
10_1101-2021_01_05_425266	232	15	approaches	approach	NNS
10_1101-2021_01_05_425266	232	16	result	result	VBP
10_1101-2021_01_05_425266	232	17	in	in	IN
10_1101-2021_01_05_425266	232	18	a	a	DT
10_1101-2021_01_05_425266	232	19	systematic	systematic	JJ
10_1101-2021_01_05_425266	232	20	overestimation	overestimation	NN
10_1101-2021_01_05_425266	232	21	of	of	IN
10_1101-2021_01_05_425266	232	22	the	the	DT
10_1101-2021_01_05_425266	232	23	LV	LV	NNP
10_1101-2021_01_05_425266	232	24	EDV	EDV	NNP
10_1101-2021_01_05_425266	232	25	and	and	CC
10_1101-2021_01_05_425266	232	26	thus	thus	RB
10_1101-2021_01_05_425266	232	27	underestimation	underestimation	NN
10_1101-2021_01_05_425266	232	28	of	of	IN
10_1101-2021_01_05_425266	232	29	LVM	LVM	NNP
10_1101-2021_01_05_425266	232	30	.	.	.
10_1101-2021_01_05_425266	233	1	In	in	IN
10_1101-2021_01_05_425266	233	2	contrast	contrast	NN
10_1101-2021_01_05_425266	233	3	,	,	,
10_1101-2021_01_05_425266	233	4	CarSON	CarSON	NNP
10_1101-2021_01_05_425266	233	5	generated	generate	VBD
10_1101-2021_01_05_425266	233	6	less	less	RBR
10_1101-2021_01_05_425266	233	7	biased	biased	JJ
10_1101-2021_01_05_425266	233	8	measures	measure	NNS
10_1101-2021_01_05_425266	233	9	of	of	IN
10_1101-2021_01_05_425266	233	10	LV	LV	NNP
10_1101-2021_01_05_425266	233	11	volumes	volume	NNS
10_1101-2021_01_05_425266	233	12	and	and	CC
10_1101-2021_01_05_425266	233	13	mass	mass	NNP
10_1101-2021_01_05_425266	233	14	,	,	,
10_1101-2021_01_05_425266	233	15	which	which	WDT
10_1101-2021_01_05_425266	233	16	were	be	VBD
10_1101-2021_01_05_425266	233	17	not	not	RB
10_1101-2021_01_05_425266	233	18	significant	significant	JJ
10_1101-2021_01_05_425266	233	19	.	.	.
10_1101-2021_01_05_425266	234	1	Although	although	IN
10_1101-2021_01_05_425266	234	2	Simantiris	Simantiris	NNP
10_1101-2021_01_05_425266	234	3	et	et	NNP
10_1101-2021_01_05_425266	234	4	al	al	NNP
10_1101-2021_01_05_425266	234	5	.	.	.
10_1101-2021_01_05_425266	235	1	[	[	-LRB-
10_1101-2021_01_05_425266	235	2	17	17	CD
10_1101-2021_01_05_425266	235	3	]	]	-RRB-
10_1101-2021_01_05_425266	235	4	obtained	obtain	VBN
10_1101-2021_01_05_425266	235	5	the	the	DT
10_1101-2021_01_05_425266	235	6	most	most	RBS
10_1101-2021_01_05_425266	235	7	precise	precise	JJ
10_1101-2021_01_05_425266	235	8	measures	measure	NNS
10_1101-2021_01_05_425266	235	9	,	,	,
10_1101-2021_01_05_425266	235	10	possibly	possibly	RB
10_1101-2021_01_05_425266	235	11	due	due	IN
10_1101-2021_01_05_425266	235	12	to	to	IN
10_1101-2021_01_05_425266	235	13	their	-PRON-	PRP$
10_1101-2021_01_05_425266	235	14	extensive	extensive	JJ
10_1101-2021_01_05_425266	235	15	use	use	NN
10_1101-2021_01_05_425266	235	16	of	of	IN
10_1101-2021_01_05_425266	235	17	augmentation	augmentation	NN
10_1101-2021_01_05_425266	235	18	using	use	VBG
10_1101-2021_01_05_425266	235	19	image	image	NN
10_1101-2021_01_05_425266	235	20	intensity	intensity	NN
10_1101-2021_01_05_425266	235	21	transformations	transformation	NNS
10_1101-2021_01_05_425266	235	22	,	,	,
10_1101-2021_01_05_425266	235	23	across	across	IN
10_1101-2021_01_05_425266	235	24	methods	method	NNS
10_1101-2021_01_05_425266	235	25	the	the	DT
10_1101-2021_01_05_425266	235	26	precision	precision	NN
10_1101-2021_01_05_425266	235	27	of	of	IN
10_1101-2021_01_05_425266	235	28	EF	EF	NNP
10_1101-2021_01_05_425266	235	29	was	be	VBD
10_1101-2021_01_05_425266	235	30	within	within	IN
10_1101-2021_01_05_425266	235	31	the	the	DT
10_1101-2021_01_05_425266	235	32	~3	~3	NFP
10_1101-2021_01_05_425266	235	33	-	-	SYM
10_1101-2021_01_05_425266	235	34	5	5	CD
10_1101-2021_01_05_425266	235	35	%	%	NN
10_1101-2021_01_05_425266	235	36	[	[	-LRB-
10_1101-2021_01_05_425266	235	37	46	46	CD
10_1101-2021_01_05_425266	235	38	]	]	-RRB-
10_1101-2021_01_05_425266	235	39	needed	need	VBN
10_1101-2021_01_05_425266	235	40	when	when	WRB
10_1101-2021_01_05_425266	235	41	it	-PRON-	PRP
10_1101-2021_01_05_425266	235	42	is	be	VBZ
10_1101-2021_01_05_425266	235	43	used	use	VBN
10_1101-2021_01_05_425266	235	44	as	as	IN
10_1101-2021_01_05_425266	235	45	an	an	DT
10_1101-2021_01_05_425266	235	46	index	index	NN
10_1101-2021_01_05_425266	235	47	of	of	IN
10_1101-2021_01_05_425266	235	48	LV	LV	NNP
10_1101-2021_01_05_425266	235	49	function	function	NN
10_1101-2021_01_05_425266	235	50	in	in	IN
10_1101-2021_01_05_425266	235	51	clinical	clinical	JJ
10_1101-2021_01_05_425266	235	52	trials	trial	NNS
10_1101-2021_01_05_425266	235	53	[	[	-LRB-
10_1101-2021_01_05_425266	235	54	47	47	CD
10_1101-2021_01_05_425266	235	55	]	]	-RRB-
10_1101-2021_01_05_425266	235	56	.	.	.
10_1101-2021_01_05_425266	236	1	Lastly	lastly	RB
10_1101-2021_01_05_425266	236	2	,	,	,
10_1101-2021_01_05_425266	236	3	we	-PRON-	PRP
10_1101-2021_01_05_425266	236	4	showed	show	VBD
10_1101-2021_01_05_425266	236	5	that	that	IN
10_1101-2021_01_05_425266	236	6	the	the	DT
10_1101-2021_01_05_425266	236	7	error	error	NN
10_1101-2021_01_05_425266	236	8	in	in	IN
10_1101-2021_01_05_425266	236	9	our	-PRON-	PRP$
10_1101-2021_01_05_425266	236	10	measures	measure	NNS
10_1101-2021_01_05_425266	236	11	of	of	IN
10_1101-2021_01_05_425266	236	12	LV	LV	NNP
10_1101-2021_01_05_425266	236	13	EDV	EDV	NNP
10_1101-2021_01_05_425266	236	14	and	and	CC
10_1101-2021_01_05_425266	236	15	LVM	LVM	NNP
10_1101-2021_01_05_425266	236	16	was	be	VBD
10_1101-2021_01_05_425266	236	17	almost	almost	RB
10_1101-2021_01_05_425266	236	18	half	half	PDT
10_1101-2021_01_05_425266	236	19	the	the	DT
10_1101-2021_01_05_425266	236	20	inter	inter	JJ
10_1101-2021_01_05_425266	236	21	-	-	JJ
10_1101-2021_01_05_425266	236	22	observer	observer	NN
10_1101-2021_01_05_425266	236	23	(	(	-LRB-
10_1101-2021_01_05_425266	236	24	~10.6	~10.6	``
10_1101-2021_01_05_425266	236	25	mL	mL	NNP
10_1101-2021_01_05_425266	236	26	,	,	,
10_1101-2021_01_05_425266	236	27	12.0	12.0	CD
10_1101-2021_01_05_425266	236	28	g	g	NN
10_1101-2021_01_05_425266	236	29	)	)	-RRB-
10_1101-2021_01_05_425266	236	30	,	,	,
10_1101-2021_01_05_425266	236	31	and	and	CC
10_1101-2021_01_05_425266	236	32	comparable	comparable	JJ
10_1101-2021_01_05_425266	236	33	to	to	IN
10_1101-2021_01_05_425266	236	34	the	the	DT
10_1101-2021_01_05_425266	236	35	intra	intra	NNP
10_1101-2021_01_05_425266	236	36	-	-	JJ
10_1101-2021_01_05_425266	236	37	observer	observer	NNP
10_1101-2021_01_05_425266	236	38	(	(	-LRB-
10_1101-2021_01_05_425266	236	39	~4	~4	NFP
10_1101-2021_01_05_425266	236	40	..	..	NFP
10_1101-2021_01_05_425266	236	41	6	6	CD
10_1101-2021_01_05_425266	236	42	mL	mL	NNP
10_1101-2021_01_05_425266	236	43	,	,	,
10_1101-2021_01_05_425266	236	44	6.2	6.2	CD
10_1101-2021_01_05_425266	236	45	g	g	NN
10_1101-2021_01_05_425266	236	46	)	)	-RRB-
10_1101-2021_01_05_425266	236	47	MAE	MAE	NNP
10_1101-2021_01_05_425266	236	48	reported	report	VBD
10_1101-2021_01_05_425266	236	49	in	in	IN
10_1101-2021_01_05_425266	236	50	[	[	-LRB-
10_1101-2021_01_05_425266	236	51	31	31	CD
10_1101-2021_01_05_425266	236	52	]	]	-RRB-
10_1101-2021_01_05_425266	236	53	,	,	,
10_1101-2021_01_05_425266	236	54	but	but	CC
10_1101-2021_01_05_425266	236	55	further	further	JJ
10_1101-2021_01_05_425266	236	56	investigations	investigation	NNS
10_1101-2021_01_05_425266	236	57	are	be	VBP
10_1101-2021_01_05_425266	236	58	required	require	VBN
10_1101-2021_01_05_425266	236	59	to	to	TO
10_1101-2021_01_05_425266	236	60	assess	assess	VB
10_1101-2021_01_05_425266	236	61	the	the	DT
10_1101-2021_01_05_425266	236	62	performance	performance	NN
10_1101-2021_01_05_425266	236	63	on	on	IN
10_1101-2021_01_05_425266	236	64	more	more	JJR
10_1101-2021_01_05_425266	236	65	heterogeneous	heterogeneous	JJ
10_1101-2021_01_05_425266	236	66	populations	population	NNS
10_1101-2021_01_05_425266	236	67	.	.	.
10_1101-2021_01_05_425266	237	1	B.	B.	NNP
10_1101-2021_01_05_425266	238	1	Strain	Strain	NNP
10_1101-2021_01_05_425266	238	2	Measures	measure	NNS
10_1101-2021_01_05_425266	238	3	The	the	DT
10_1101-2021_01_05_425266	238	4	application	application	NN
10_1101-2021_01_05_425266	238	5	of	of	IN
10_1101-2021_01_05_425266	238	6	myocardial	myocardial	JJ
10_1101-2021_01_05_425266	238	7	strain	strain	NN
10_1101-2021_01_05_425266	238	8	to	to	TO
10_1101-2021_01_05_425266	238	9	quantify	quantify	VB
10_1101-2021_01_05_425266	238	10	abnormal	abnormal	JJ
10_1101-2021_01_05_425266	238	11	deformation	deformation	NN
10_1101-2021_01_05_425266	238	12	in	in	IN
10_1101-2021_01_05_425266	238	13	disease	disease	NN
10_1101-2021_01_05_425266	238	14	requires	require	VBZ
10_1101-2021_01_05_425266	238	15	accurate	accurate	JJ
10_1101-2021_01_05_425266	238	16	definition	definition	NN
10_1101-2021_01_05_425266	238	17	of	of	IN
10_1101-2021_01_05_425266	238	18	normal	normal	JJ
10_1101-2021_01_05_425266	238	19	ranges	range	NNS
10_1101-2021_01_05_425266	238	20	.	.	.
10_1101-2021_01_05_425266	239	1	However	however	RB
10_1101-2021_01_05_425266	239	2	,	,	,
10_1101-2021_01_05_425266	239	3	previously	previously	RB
10_1101-2021_01_05_425266	239	4	reported	report	VBD
10_1101-2021_01_05_425266	239	5	normal	normal	JJ
10_1101-2021_01_05_425266	239	6	ranges	range	NNS
10_1101-2021_01_05_425266	239	7	vary	vary	VBP
10_1101-2021_01_05_425266	239	8	largely	largely	RB
10_1101-2021_01_05_425266	239	9	between	between	IN
10_1101-2021_01_05_425266	239	10	modalities	modality	NNS
10_1101-2021_01_05_425266	239	11	and	and	CC
10_1101-2021_01_05_425266	239	12	techniques	technique	NNS
10_1101-2021_01_05_425266	239	13	,	,	,
10_1101-2021_01_05_425266	239	14	particularly	particularly	RB
10_1101-2021_01_05_425266	239	15	for	for	IN
10_1101-2021_01_05_425266	239	16	radial	radial	JJ
10_1101-2021_01_05_425266	239	17	ESS	ESS	NNP
10_1101-2021_01_05_425266	239	18	[	[	-LRB-
10_1101-2021_01_05_425266	239	19	4	4	CD
10_1101-2021_01_05_425266	239	20	]	]	-RRB-
10_1101-2021_01_05_425266	239	21	.	.	.
10_1101-2021_01_05_425266	240	1	In	in	IN
10_1101-2021_01_05_425266	240	2	this	this	DT
10_1101-2021_01_05_425266	240	3	study	study	NN
10_1101-2021_01_05_425266	240	4	we	-PRON-	PRP
10_1101-2021_01_05_425266	240	5	showed	show	VBD
10_1101-2021_01_05_425266	240	6	DeepStrain	DeepStrain	NNP
10_1101-2021_01_05_425266	240	7	generated	generate	VBD
10_1101-2021_01_05_425266	240	8	strain	strain	VBP
10_1101-2021_01_05_425266	240	9	measures	measure	NNS
10_1101-2021_01_05_425266	240	10	with	with	IN
10_1101-2021_01_05_425266	240	11	narrow	narrow	JJ
10_1101-2021_01_05_425266	240	12	CI	CI	NNP
10_1101-2021_01_05_425266	240	13	in	in	IN
10_1101-2021_01_05_425266	240	14	healthy	healthy	JJ
10_1101-2021_01_05_425266	240	15	subjects	subject	NNS
10_1101-2021_01_05_425266	240	16	from	from	IN
10_1101-2021_01_05_425266	240	17	across	across	IN
10_1101-2021_01_05_425266	240	18	three	three	CD
10_1101-2021_01_05_425266	240	19	different	different	JJ
10_1101-2021_01_05_425266	240	20	datasets	dataset	NNS
10_1101-2021_01_05_425266	240	21	(	(	-LRB-
10_1101-2021_01_05_425266	240	22	Table	table	NN
10_1101-2021_01_05_425266	240	23	1	1	CD
10_1101-2021_01_05_425266	240	24	)	)	-RRB-
10_1101-2021_01_05_425266	240	25	.	.	.
10_1101-2021_01_05_425266	241	1	Although	although	IN
10_1101-2021_01_05_425266	241	2	direct	direct	JJ
10_1101-2021_01_05_425266	241	3	comparison	comparison	NN
10_1101-2021_01_05_425266	241	4	with	with	IN
10_1101-2021_01_05_425266	241	5	the	the	DT
10_1101-2021_01_05_425266	241	6	literature	literature	NN
10_1101-2021_01_05_425266	241	7	is	be	VBZ
10_1101-2021_01_05_425266	241	8	difficult	difficult	JJ
10_1101-2021_01_05_425266	241	9	due	due	IN
10_1101-2021_01_05_425266	241	10	to	to	IN
10_1101-2021_01_05_425266	241	11	differences	difference	NNS
10_1101-2021_01_05_425266	241	12	in	in	IN
10_1101-2021_01_05_425266	241	13	the	the	DT
10_1101-2021_01_05_425266	241	14	datasets	dataset	NNS
10_1101-2021_01_05_425266	241	15	,	,	,
10_1101-2021_01_05_425266	241	16	overall	overall	VBP
10_1101-2021_01_05_425266	241	17	our	-PRON-	PRP$
10_1101-2021_01_05_425266	241	18	strain	strain	NN
10_1101-2021_01_05_425266	241	19	measures	measure	NNS
10_1101-2021_01_05_425266	241	20	agreed	agree	VBD
10_1101-2021_01_05_425266	241	21	with	with	IN
10_1101-2021_01_05_425266	241	22	several	several	JJ
10_1101-2021_01_05_425266	241	23	reported	report	VBN
10_1101-2021_01_05_425266	241	24	results	result	NNS
10_1101-2021_01_05_425266	241	25	.	.	.
10_1101-2021_01_05_425266	242	1	Specifically	specifically	RB
10_1101-2021_01_05_425266	242	2	,	,	,
10_1101-2021_01_05_425266	242	3	circumferential	circumferential	JJ
10_1101-2021_01_05_425266	242	4	strain	strain	NN
10_1101-2021_01_05_425266	242	5	is	be	VBZ
10_1101-2021_01_05_425266	242	6	in	in	IN
10_1101-2021_01_05_425266	242	7	agreement	agreement	NN
10_1101-2021_01_05_425266	242	8	with	with	IN
10_1101-2021_01_05_425266	242	9	studies	study	NNS
10_1101-2021_01_05_425266	242	10	Fig	Fig	NNP
10_1101-2021_01_05_425266	242	11	.	.	.
10_1101-2021_01_05_425266	243	1	3	3	LS
10_1101-2021_01_05_425266	243	2	.	.	.
10_1101-2021_01_05_425266	244	1	Global	global	JJ
10_1101-2021_01_05_425266	244	2	and	and	CC
10_1101-2021_01_05_425266	244	3	regional	regional	JJ
10_1101-2021_01_05_425266	244	4	strain	strain	NN
10_1101-2021_01_05_425266	244	5	measures	measure	NNS
10_1101-2021_01_05_425266	244	6	of	of	IN
10_1101-2021_01_05_425266	244	7	representative	representative	JJ
10_1101-2021_01_05_425266	244	8	subject	subject	NN
10_1101-2021_01_05_425266	244	9	.	.	.
10_1101-2021_01_05_425266	245	1	(	(	-LRB-
10_1101-2021_01_05_425266	245	2	a	a	LS
10_1101-2021_01_05_425266	245	3	)	)	-RRB-
10_1101-2021_01_05_425266	245	4	Regional	regional	JJ
10_1101-2021_01_05_425266	245	5	end	end	NN
10_1101-2021_01_05_425266	245	6	-	-	HYPH
10_1101-2021_01_05_425266	245	7	systolic	systolic	JJ
10_1101-2021_01_05_425266	245	8	strain	strain	NN
10_1101-2021_01_05_425266	245	9	measures	measure	NNS
10_1101-2021_01_05_425266	245	10	show	show	VBP
10_1101-2021_01_05_425266	245	11	visual	visual	JJ
10_1101-2021_01_05_425266	245	12	agreement	agreement	NN
10_1101-2021_01_05_425266	245	13	(	(	-LRB-
10_1101-2021_01_05_425266	245	14	orange	orange	NNP
10_1101-2021_01_05_425266	245	15	arrow	arrow	NNP
10_1101-2021_01_05_425266	245	16	)	)	-RRB-
10_1101-2021_01_05_425266	245	17	.	.	.
10_1101-2021_01_05_425266	246	1	(	(	-LRB-
10_1101-2021_01_05_425266	246	2	c	c	NN
10_1101-2021_01_05_425266	246	3	)	)	-RRB-
10_1101-2021_01_05_425266	246	4	Global	global	JJ
10_1101-2021_01_05_425266	246	5	strain	strain	NN
10_1101-2021_01_05_425266	246	6	and	and	CC
10_1101-2021_01_05_425266	246	7	strain	strain	VB
10_1101-2021_01_05_425266	246	8	rate	rate	NN
10_1101-2021_01_05_425266	246	9	(	(	-LRB-
10_1101-2021_01_05_425266	246	10	SR	SR	NNP
10_1101-2021_01_05_425266	246	11	)	)	-RRB-
10_1101-2021_01_05_425266	246	12	measures	measure	NNS
10_1101-2021_01_05_425266	246	13	also	also	RB
10_1101-2021_01_05_425266	246	14	show	show	VBP
10_1101-2021_01_05_425266	246	15	visual	visual	JJ
10_1101-2021_01_05_425266	246	16	agreement	agreement	NN
10_1101-2021_01_05_425266	246	17	.	.	.
10_1101-2021_01_05_425266	247	1	.CC	.CC	NFP
10_1101-2021_01_05_425266	247	2	-	-	:
10_1101-2021_01_05_425266	247	3	BY	by	IN
10_1101-2021_01_05_425266	247	4	-	-	HYPH
10_1101-2021_01_05_425266	247	5	NC	NC	NNP
10_1101-2021_01_05_425266	247	6	-	-	HYPH
10_1101-2021_01_05_425266	247	7	ND	ND	NNP
10_1101-2021_01_05_425266	247	8	4.0	4.0	CD
10_1101-2021_01_05_425266	247	9	International	International	NNP
10_1101-2021_01_05_425266	247	10	licenseavailable	licenseavailable	NN
10_1101-2021_01_05_425266	247	11	under	under	IN
10_1101-2021_01_05_425266	247	12	a	a	DT
10_1101-2021_01_05_425266	247	13	(	(	-LRB-
10_1101-2021_01_05_425266	247	14	which	which	WDT
10_1101-2021_01_05_425266	247	15	was	be	VBD
10_1101-2021_01_05_425266	247	16	not	not	RB
10_1101-2021_01_05_425266	247	17	certified	certify	VBN
10_1101-2021_01_05_425266	247	18	by	by	IN
10_1101-2021_01_05_425266	247	19	peer	peer	NN
10_1101-2021_01_05_425266	247	20	review	review	NN
10_1101-2021_01_05_425266	247	21	)	)	-RRB-
10_1101-2021_01_05_425266	247	22	is	be	VBZ
10_1101-2021_01_05_425266	247	23	the	the	DT
10_1101-2021_01_05_425266	247	24	author	author	NN
10_1101-2021_01_05_425266	247	25	/	/	SYM
10_1101-2021_01_05_425266	247	26	funder	funder	NN
10_1101-2021_01_05_425266	247	27	,	,	,
10_1101-2021_01_05_425266	247	28	who	who	WP
10_1101-2021_01_05_425266	247	29	has	have	VBZ
10_1101-2021_01_05_425266	247	30	granted	grant	VBN
10_1101-2021_01_05_425266	247	31	bioRxiv	biorxiv	IN
10_1101-2021_01_05_425266	247	32	a	a	DT
10_1101-2021_01_05_425266	247	33	license	license	NN
10_1101-2021_01_05_425266	247	34	to	to	TO
10_1101-2021_01_05_425266	247	35	display	display	VB
10_1101-2021_01_05_425266	247	36	the	the	DT
10_1101-2021_01_05_425266	247	37	preprint	preprint	NN
10_1101-2021_01_05_425266	247	38	in	in	IN
10_1101-2021_01_05_425266	247	39	perpetuity	perpetuity	NN
10_1101-2021_01_05_425266	247	40	.	.	.
10_1101-2021_01_05_425266	248	1	It	-PRON-	PRP
10_1101-2021_01_05_425266	248	2	is	be	VBZ
10_1101-2021_01_05_425266	248	3	made	make	VBN
10_1101-2021_01_05_425266	248	4	The	the	DT
10_1101-2021_01_05_425266	248	5	copyright	copyright	NN
10_1101-2021_01_05_425266	248	6	holder	holder	NN
10_1101-2021_01_05_425266	248	7	for	for	IN
10_1101-2021_01_05_425266	248	8	this	this	DT
10_1101-2021_01_05_425266	248	9	preprintthis	preprintthis	NN
10_1101-2021_01_05_425266	248	10	version	version	NN
10_1101-2021_01_05_425266	248	11	posted	post	VBD
10_1101-2021_01_05_425266	248	12	January	January	NNP
10_1101-2021_01_05_425266	248	13	7	7	CD
10_1101-2021_01_05_425266	248	14	,	,	,
10_1101-2021_01_05_425266	248	15	2021	2021	CD
10_1101-2021_01_05_425266	248	16	.	.	.
10_1101-2021_01_05_425266	248	17	;	;	:
10_1101-2021_01_05_425266	248	18	https://doi.org/10.1101/2021.01.05.425266doi	https://doi.org/10.1101/2021.01.05.425266doi	NNP
10_1101-2021_01_05_425266	248	19	:	:	:
10_1101-2021_01_05_425266	248	20	bioRxiv	biorxiv	IN
10_1101-2021_01_05_425266	248	21	preprint	preprint	NN
10_1101-2021_01_05_425266	248	22	https://doi.org/10.1101/2021.01.05.425266	https://doi.org/10.1101/2021.01.05.425266	NN
10_1101-2021_01_05_425266	248	23	http://creativecommons.org/licenses/by-nc-nd/4.0/	http://creativecommons.org/licenses/by-nc-nd/4.0/	NN
10_1101-2021_01_05_425266	248	24	in	in	IN
10_1101-2021_01_05_425266	248	25	healthy	healthy	JJ
10_1101-2021_01_05_425266	248	26	participants	participant	NNS
10_1101-2021_01_05_425266	248	27	based	base	VBN
10_1101-2021_01_05_425266	248	28	on	on	IN
10_1101-2021_01_05_425266	248	29	tagging	tag	VBG
10_1101-2021_01_05_425266	248	30	(	(	-LRB-
10_1101-2021_01_05_425266	248	31	-16.6	-16.6	HYPH
10_1101-2021_01_05_425266	248	32	%	%	NN
10_1101-2021_01_05_425266	248	33	,	,	,
10_1101-2021_01_05_425266	248	34	n=129	n=129	CD
10_1101-2021_01_05_425266	248	35	)	)	-RRB-
10_1101-2021_01_05_425266	248	36	and	and	CC
10_1101-2021_01_05_425266	248	37	speckle	speckle	VB
10_1101-2021_01_05_425266	248	38	tracking	tracking	NN
10_1101-2021_01_05_425266	248	39	echocardiography	echocardiography	NN
10_1101-2021_01_05_425266	248	40	(	(	-LRB-
10_1101-2021_01_05_425266	248	41	-18	-18	NNP
10_1101-2021_01_05_425266	248	42	%	%	NN
10_1101-2021_01_05_425266	248	43	,	,	,
10_1101-2021_01_05_425266	248	44	n=265	n=265	ADD
10_1101-2021_01_05_425266	248	45	)	)	-RRB-
10_1101-2021_01_05_425266	248	46	datasets	dataset	VBZ
10_1101-2021_01_05_425266	248	47	[	[	-LRB-
10_1101-2021_01_05_425266	248	48	48	48	CD
10_1101-2021_01_05_425266	248	49	]	]	-RRB-
10_1101-2021_01_05_425266	248	50	,	,	,
10_1101-2021_01_05_425266	248	51	[	[	-LRB-
10_1101-2021_01_05_425266	248	52	49	49	CD
10_1101-2021_01_05_425266	248	53	]	]	-RRB-
10_1101-2021_01_05_425266	248	54	,	,	,
10_1101-2021_01_05_425266	248	55	as	as	RB
10_1101-2021_01_05_425266	248	56	well	well	RB
10_1101-2021_01_05_425266	248	57	a	a	DT
10_1101-2021_01_05_425266	248	58	recently	recently	RB
10_1101-2021_01_05_425266	248	59	proposed	propose	VBN
10_1101-2021_01_05_425266	248	60	(	(	-LRB-
10_1101-2021_01_05_425266	248	61	-16.7	-16.7	HYPH
10_1101-2021_01_05_425266	248	62	%	%	NN
10_1101-2021_01_05_425266	248	63	basal	basal	NN
10_1101-2021_01_05_425266	248	64	,	,	,
10_1101-2021_01_05_425266	248	65	n=386	n=386	ADD
10_1101-2021_01_05_425266	248	66	)	)	-RRB-
10_1101-2021_01_05_425266	248	67	tagging	tagging	NN
10_1101-2021_01_05_425266	248	68	-	-	HYPH
10_1101-2021_01_05_425266	248	69	based	base	VBN
10_1101-2021_01_05_425266	248	70	DL	DL	NNP
10_1101-2021_01_05_425266	248	71	method	method	NN
10_1101-2021_01_05_425266	248	72	[	[	-LRB-
10_1101-2021_01_05_425266	248	73	42	42	CD
10_1101-2021_01_05_425266	248	74	]	]	-RRB-
10_1101-2021_01_05_425266	248	75	.	.	.
10_1101-2021_01_05_425266	249	1	Radial	radial	JJ
10_1101-2021_01_05_425266	249	2	strain	strain	NN
10_1101-2021_01_05_425266	249	3	is	be	VBZ
10_1101-2021_01_05_425266	249	4	in	in	IN
10_1101-2021_01_05_425266	249	5	agreement	agreement	NN
10_1101-2021_01_05_425266	249	6	with	with	IN
10_1101-2021_01_05_425266	249	7	tagging	tagging	NN
10_1101-2021_01_05_425266	249	8	-	-	HYPH
10_1101-2021_01_05_425266	249	9	based	base	VBN
10_1101-2021_01_05_425266	249	10	(	(	-LRB-
10_1101-2021_01_05_425266	249	11	26.5	26.5	CD
10_1101-2021_01_05_425266	249	12	%	%	NN
10_1101-2021_01_05_425266	249	13	,	,	,
10_1101-2021_01_05_425266	249	14	n=129	n=129	CD
10_1101-2021_01_05_425266	249	15	;	;	:
10_1101-2021_01_05_425266	249	16	23.8	23.8	CD
10_1101-2021_01_05_425266	249	17	%	%	NN
10_1101-2021_01_05_425266	249	18	basal	basal	NN
10_1101-2021_01_05_425266	249	19	,	,	,
10_1101-2021_01_05_425266	249	20	n=386	n=386	JJ
10_1101-2021_01_05_425266	249	21	)	)	-RRB-
10_1101-2021_01_05_425266	249	22	studies	study	NNS
10_1101-2021_01_05_425266	249	23	[	[	-LRB-
10_1101-2021_01_05_425266	249	24	42	42	CD
10_1101-2021_01_05_425266	249	25	]	]	-RRB-
10_1101-2021_01_05_425266	249	26	,	,	,
10_1101-2021_01_05_425266	249	27	[	[	-LRB-
10_1101-2021_01_05_425266	249	28	48	48	CD
10_1101-2021_01_05_425266	249	29	]	]	-RRB-
10_1101-2021_01_05_425266	249	30	,	,	,
10_1101-2021_01_05_425266	249	31	but	but	CC
10_1101-2021_01_05_425266	249	32	are	be	VBP
10_1101-2021_01_05_425266	249	33	lower	low	JJR
10_1101-2021_01_05_425266	249	34	than	than	IN
10_1101-2021_01_05_425266	249	35	most	most	JJS
10_1101-2021_01_05_425266	249	36	reported	report	VBN
10_1101-2021_01_05_425266	249	37	values	value	NNS
10_1101-2021_01_05_425266	249	38	[	[	-LRB-
10_1101-2021_01_05_425266	249	39	4	4	CD
10_1101-2021_01_05_425266	249	40	]	]	-RRB-
10_1101-2021_01_05_425266	249	41	.	.	.
10_1101-2021_01_05_425266	250	1	This	this	DT
10_1101-2021_01_05_425266	250	2	is	be	VBZ
10_1101-2021_01_05_425266	250	3	a	a	DT
10_1101-2021_01_05_425266	250	4	result	result	NN
10_1101-2021_01_05_425266	250	5	of	of	IN
10_1101-2021_01_05_425266	250	6	smoothing	smooth	VBG
10_1101-2021_01_05_425266	250	7	regularization	regularization	NN
10_1101-2021_01_05_425266	250	8	used	use	VBN
10_1101-2021_01_05_425266	250	9	during	during	IN
10_1101-2021_01_05_425266	250	10	training	training	NN
10_1101-2021_01_05_425266	250	11	to	to	TO
10_1101-2021_01_05_425266	250	12	prevent	prevent	VB
10_1101-2021_01_05_425266	250	13	overfitting	overfitting	NN
10_1101-2021_01_05_425266	250	14	.	.	.
10_1101-2021_01_05_425266	251	1	However	however	RB
10_1101-2021_01_05_425266	251	2	,	,	,
10_1101-2021_01_05_425266	251	3	lowering	lower	VBG
10_1101-2021_01_05_425266	251	4	the	the	DT
10_1101-2021_01_05_425266	251	5	regularization	regularization	NN
10_1101-2021_01_05_425266	251	6	without	without	IN
10_1101-2021_01_05_425266	251	7	increasing	increase	VBG
10_1101-2021_01_05_425266	251	8	the	the	DT
10_1101-2021_01_05_425266	251	9	size	size	NN
10_1101-2021_01_05_425266	251	10	of	of	IN
10_1101-2021_01_05_425266	251	11	the	the	DT
10_1101-2021_01_05_425266	251	12	training	training	NN
10_1101-2021_01_05_425266	251	13	set	set	NN
10_1101-2021_01_05_425266	251	14	would	would	MD
10_1101-2021_01_05_425266	251	15	lead	lead	VB
10_1101-2021_01_05_425266	251	16	to	to	IN
10_1101-2021_01_05_425266	251	17	increased	increase	VBN
10_1101-2021_01_05_425266	251	18	EPE	EPE	NNP
10_1101-2021_01_05_425266	251	19	and	and	CC
10_1101-2021_01_05_425266	251	20	wider	wide	JJR
10_1101-2021_01_05_425266	251	21	CI	CI	NNP
10_1101-2021_01_05_425266	251	22	.	.	.
10_1101-2021_01_05_425266	252	1	SR	sr	JJ
10_1101-2021_01_05_425266	252	2	measures	measure	NNS
10_1101-2021_01_05_425266	252	3	derived	derive	VBN
10_1101-2021_01_05_425266	252	4	with	with	IN
10_1101-2021_01_05_425266	252	5	DeepStrain	DeepStrain	NNP
10_1101-2021_01_05_425266	252	6	were	be	VBD
10_1101-2021_01_05_425266	252	7	also	also	RB
10_1101-2021_01_05_425266	252	8	in	in	IN
10_1101-2021_01_05_425266	252	9	good	good	JJ
10_1101-2021_01_05_425266	252	10	agreement	agreement	NN
10_1101-2021_01_05_425266	252	11	with	with	IN
10_1101-2021_01_05_425266	252	12	previous	previous	JJ
10_1101-2021_01_05_425266	252	13	tagging-	tagging-	NN
10_1101-2021_01_05_425266	252	14	based	base	VBN
10_1101-2021_01_05_425266	252	15	studies	study	NNS
10_1101-2021_01_05_425266	252	16	[	[	-LRB-
10_1101-2021_01_05_425266	252	17	48	48	CD
10_1101-2021_01_05_425266	252	18	]	]	-RRB-
10_1101-2021_01_05_425266	252	19	.	.	.
10_1101-2021_01_05_425266	253	1	The	the	DT
10_1101-2021_01_05_425266	253	2	CMAC	CMAC	NNP
10_1101-2021_01_05_425266	253	3	dataset	dataset	NN
10_1101-2021_01_05_425266	253	4	enabled	enable	VBD
10_1101-2021_01_05_425266	253	5	us	-PRON-	PRP
10_1101-2021_01_05_425266	253	6	to	to	TO
10_1101-2021_01_05_425266	253	7	compare	compare	VB
10_1101-2021_01_05_425266	253	8	our	-PRON-	PRP$
10_1101-2021_01_05_425266	253	9	results	result	NNS
10_1101-2021_01_05_425266	253	10	to	to	IN
10_1101-2021_01_05_425266	253	11	non	non	JJ
10_1101-2021_01_05_425266	253	12	-	-	JJ
10_1101-2021_01_05_425266	253	13	learning	learning	JJ
10_1101-2021_01_05_425266	253	14	methods	method	NNS
10_1101-2021_01_05_425266	253	15	using	use	VBG
10_1101-2021_01_05_425266	253	16	a	a	DT
10_1101-2021_01_05_425266	253	17	common	common	JJ
10_1101-2021_01_05_425266	253	18	dataset	dataset	NN
10_1101-2021_01_05_425266	253	19	.	.	.
10_1101-2021_01_05_425266	254	1	We	-PRON-	PRP
10_1101-2021_01_05_425266	254	2	found	find	VBD
10_1101-2021_01_05_425266	254	3	that	that	IN
10_1101-2021_01_05_425266	254	4	AEPE	AEPE	NNP
10_1101-2021_01_05_425266	254	5	was	be	VBD
10_1101-2021_01_05_425266	254	6	lower	low	JJR
10_1101-2021_01_05_425266	254	7	with	with	IN
10_1101-2021_01_05_425266	254	8	tagging	tag	VBG
10_1101-2021_01_05_425266	254	9	-	-	HYPH
10_1101-2021_01_05_425266	254	10	based	base	VBN
10_1101-2021_01_05_425266	254	11	techniques	technique	NNS
10_1101-2021_01_05_425266	254	12	,	,	,
10_1101-2021_01_05_425266	254	13	reflecting	reflect	VBG
10_1101-2021_01_05_425266	254	14	the	the	DT
10_1101-2021_01_05_425266	254	15	advantage	advantage	NN
10_1101-2021_01_05_425266	254	16	of	of	IN
10_1101-2021_01_05_425266	254	17	estimating	estimate	VBG
10_1101-2021_01_05_425266	254	18	cardiac	cardiac	JJ
10_1101-2021_01_05_425266	254	19	motion	motion	NN
10_1101-2021_01_05_425266	254	20	from	from	IN
10_1101-2021_01_05_425266	254	21	a	a	DT
10_1101-2021_01_05_425266	254	22	grid	grid	NN
10_1101-2021_01_05_425266	254	23	of	of	IN
10_1101-2021_01_05_425266	254	24	intrinsic	intrinsic	JJ
10_1101-2021_01_05_425266	254	25	tissues	tissue	NNS
10_1101-2021_01_05_425266	254	26	markers	marker	NNS
10_1101-2021_01_05_425266	254	27	(	(	-LRB-
10_1101-2021_01_05_425266	254	28	i.e.	i.e.	FW
10_1101-2021_01_05_425266	254	29	,	,	,
10_1101-2021_01_05_425266	254	30	grid	grid	VB
10_1101-2021_01_05_425266	254	31	tagging	tagging	NN
10_1101-2021_01_05_425266	254	32	lines	line	NNS
10_1101-2021_01_05_425266	254	33	)	)	-RRB-
10_1101-2021_01_05_425266	254	34	.	.	.
10_1101-2021_01_05_425266	255	1	Further	further	RB
10_1101-2021_01_05_425266	255	2	,	,	,
10_1101-2021_01_05_425266	255	3	the	the	DT
10_1101-2021_01_05_425266	255	4	tagging	tag	VBG
10_1101-2021_01_05_425266	255	5	techniques	technique	NNS
10_1101-2021_01_05_425266	255	6	also	also	RB
10_1101-2021_01_05_425266	255	7	benefited	benefit	VBD
10_1101-2021_01_05_425266	255	8	from	from	IN
10_1101-2021_01_05_425266	255	9	the	the	DT
10_1101-2021_01_05_425266	255	10	fact	fact	NN
10_1101-2021_01_05_425266	255	11	that	that	IN
10_1101-2021_01_05_425266	255	12	landmarks	landmark	NNS
10_1101-2021_01_05_425266	255	13	were	be	VBD
10_1101-2021_01_05_425266	255	14	placed	place	VBN
10_1101-2021_01_05_425266	255	15	at	at	IN
10_1101-2021_01_05_425266	255	16	the	the	DT
10_1101-2021_01_05_425266	255	17	center	center	NN
10_1101-2021_01_05_425266	255	18	of	of	IN
10_1101-2021_01_05_425266	255	19	the	the	DT
10_1101-2021_01_05_425266	255	20	ventricle	ventricle	NN
10_1101-2021_01_05_425266	255	21	,	,	,
10_1101-2021_01_05_425266	255	22	whereas	whereas	IN
10_1101-2021_01_05_425266	255	23	motion	motion	NN
10_1101-2021_01_05_425266	255	24	estimation	estimation	NN
10_1101-2021_01_05_425266	255	25	from	from	IN
10_1101-2021_01_05_425266	255	26	tagging	tag	VBG
10_1101-2021_01_05_425266	255	27	data	datum	NNS
10_1101-2021_01_05_425266	255	28	at	at	IN
10_1101-2021_01_05_425266	255	29	the	the	DT
10_1101-2021_01_05_425266	255	30	myocardial	myocardial	JJ
10_1101-2021_01_05_425266	255	31	borders	border	NNS
10_1101-2021_01_05_425266	255	32	and	and	CC
10_1101-2021_01_05_425266	255	33	in	in	IN
10_1101-2021_01_05_425266	255	34	thin	thin	JJ
10_1101-2021_01_05_425266	255	35	-	-	HYPH
10_1101-2021_01_05_425266	255	36	walled	walled	JJ
10_1101-2021_01_05_425266	255	37	regions	region	NNS
10_1101-2021_01_05_425266	255	38	of	of	IN
10_1101-2021_01_05_425266	255	39	the	the	DT
10_1101-2021_01_05_425266	255	40	LV	LV	NNP
10_1101-2021_01_05_425266	255	41	is	be	VBZ
10_1101-2021_01_05_425266	255	42	less	less	RBR
10_1101-2021_01_05_425266	255	43	accurate	accurate	JJ
10_1101-2021_01_05_425266	255	44	due	due	IN
10_1101-2021_01_05_425266	255	45	to	to	IN
10_1101-2021_01_05_425266	255	46	the	the	DT
10_1101-2021_01_05_425266	255	47	spatial	spatial	JJ
10_1101-2021_01_05_425266	255	48	resolution	resolution	NN
10_1101-2021_01_05_425266	255	49	of	of	IN
10_1101-2021_01_05_425266	255	50	the	the	DT
10_1101-2021_01_05_425266	255	51	tagging	tagging	NN
10_1101-2021_01_05_425266	255	52	grid	grid	NN
10_1101-2021_01_05_425266	255	53	[	[	-LRB-
10_1101-2021_01_05_425266	255	54	4	4	CD
10_1101-2021_01_05_425266	255	55	]	]	-RRB-
10_1101-2021_01_05_425266	255	56	.	.	.
10_1101-2021_01_05_425266	256	1	In	in	IN
10_1101-2021_01_05_425266	256	2	addition	addition	NN
10_1101-2021_01_05_425266	256	3	,	,	,
10_1101-2021_01_05_425266	256	4	some	some	DT
10_1101-2021_01_05_425266	256	5	of	of	IN
10_1101-2021_01_05_425266	256	6	the	the	DT
10_1101-2021_01_05_425266	256	7	tagging	tagging	NN
10_1101-2021_01_05_425266	256	8	-	-	HYPH
10_1101-2021_01_05_425266	256	9	MRI	mri	NN
10_1101-2021_01_05_425266	256	10	images	image	NNS
10_1101-2021_01_05_425266	256	11	did	do	VBD
10_1101-2021_01_05_425266	256	12	not	not	RB
10_1101-2021_01_05_425266	256	13	enclosed	enclose	VBN
10_1101-2021_01_05_425266	256	14	the	the	DT
10_1101-2021_01_05_425266	256	15	whole	whole	JJ
10_1101-2021_01_05_425266	256	16	myocardium	myocardium	NN
10_1101-2021_01_05_425266	256	17	and	and	CC
10_1101-2021_01_05_425266	256	18	some	some	DT
10_1101-2021_01_05_425266	256	19	contained	contain	VBN
10_1101-2021_01_05_425266	256	20	imaging	imaging	NN
10_1101-2021_01_05_425266	256	21	artifacts	artifact	NNS
10_1101-2021_01_05_425266	256	22	,	,	,
10_1101-2021_01_05_425266	256	23	which	which	WDT
10_1101-2021_01_05_425266	256	24	resulted	result	VBD
10_1101-2021_01_05_425266	256	25	in	in	IN
10_1101-2021_01_05_425266	256	26	strain	strain	NN
10_1101-2021_01_05_425266	256	27	artifacts	artifact	NNS
10_1101-2021_01_05_425266	256	28	towards	towards	IN
10_1101-2021_01_05_425266	256	29	the	the	DT
10_1101-2021_01_05_425266	256	30	end	end	NN
10_1101-2021_01_05_425266	256	31	of	of	IN
10_1101-2021_01_05_425266	256	32	the	the	DT
10_1101-2021_01_05_425266	256	33	cardiac	cardiac	JJ
10_1101-2021_01_05_425266	256	34	cycle	cycle	NN
10_1101-2021_01_05_425266	256	35	(	(	-LRB-
10_1101-2021_01_05_425266	256	36	Fig	fig	NN
10_1101-2021_01_05_425266	256	37	.	.	.
10_1101-2021_01_05_425266	257	1	2c	2c	NN
10_1101-2021_01_05_425266	257	2	,	,	,
10_1101-2021_01_05_425266	257	3	black	black	JJ
10_1101-2021_01_05_425266	257	4	arrow	arrow	NN
10_1101-2021_01_05_425266	257	5	)	)	-RRB-
10_1101-2021_01_05_425266	257	6	.	.	.
10_1101-2021_01_05_425266	258	1	We	-PRON-	PRP
10_1101-2021_01_05_425266	258	2	found	find	VBD
10_1101-2021_01_05_425266	258	3	that	that	IN
10_1101-2021_01_05_425266	258	4	MEVIS	MEVIS	NNP
10_1101-2021_01_05_425266	258	5	had	have	VBD
10_1101-2021_01_05_425266	258	6	the	the	DT
10_1101-2021_01_05_425266	258	7	lowest	low	JJS
10_1101-2021_01_05_425266	258	8	AEPE	AEPE	NNP
10_1101-2021_01_05_425266	258	9	,	,	,
10_1101-2021_01_05_425266	258	10	which	which	WDT
10_1101-2021_01_05_425266	258	11	could	could	MD
10_1101-2021_01_05_425266	258	12	be	be	VB
10_1101-2021_01_05_425266	258	13	a	a	DT
10_1101-2021_01_05_425266	258	14	result	result	NN
10_1101-2021_01_05_425266	258	15	of	of	IN
10_1101-2021_01_05_425266	258	16	their	-PRON-	PRP$
10_1101-2021_01_05_425266	258	17	image	image	NN
10_1101-2021_01_05_425266	258	18	term	term	NN
10_1101-2021_01_05_425266	258	19	(	(	-LRB-
10_1101-2021_01_05_425266	258	20	4	4	LS
10_1101-2021_01_05_425266	258	21	)	)	-RRB-
10_1101-2021_01_05_425266	258	22	that	that	WDT
10_1101-2021_01_05_425266	258	23	penalizes	penalize	VBZ
10_1101-2021_01_05_425266	258	24	phase	phase	NN
10_1101-2021_01_05_425266	258	25	shifts	shift	NNS
10_1101-2021_01_05_425266	258	26	in	in	IN
10_1101-2021_01_05_425266	258	27	the	the	DT
10_1101-2021_01_05_425266	258	28	Fourier	Fourier	NNP
10_1101-2021_01_05_425266	258	29	domain	domain	NN
10_1101-2021_01_05_425266	258	30	instead	instead	RB
10_1101-2021_01_05_425266	258	31	of	of	IN
10_1101-2021_01_05_425266	258	32	intensity	intensity	NN
10_1101-2021_01_05_425266	258	33	values	value	NNS
10_1101-2021_01_05_425266	258	34	,	,	,
10_1101-2021_01_05_425266	258	35	an	an	DT
10_1101-2021_01_05_425266	258	36	approach	approach	NN
10_1101-2021_01_05_425266	258	37	that	that	WDT
10_1101-2021_01_05_425266	258	38	is	be	VBZ
10_1101-2021_01_05_425266	258	39	less	less	RBR
10_1101-2021_01_05_425266	258	40	affected	affect	VBN
10_1101-2021_01_05_425266	258	41	by	by	IN
10_1101-2021_01_05_425266	258	42	desaturation	desaturation	NN
10_1101-2021_01_05_425266	258	43	(	(	-LRB-
10_1101-2021_01_05_425266	258	44	i.e.	i.e.	FW
10_1101-2021_01_05_425266	258	45	,	,	,
10_1101-2021_01_05_425266	258	46	fading	fade	VBG
10_1101-2021_01_05_425266	258	47	)	)	-RRB-
10_1101-2021_01_05_425266	258	48	of	of	IN
10_1101-2021_01_05_425266	258	49	the	the	DT
10_1101-2021_01_05_425266	258	50	tagging	tagging	NN
10_1101-2021_01_05_425266	258	51	grid	grid	NN
10_1101-2021_01_05_425266	258	52	over	over	IN
10_1101-2021_01_05_425266	258	53	time	time	NN
10_1101-2021_01_05_425266	258	54	.	.	.
10_1101-2021_01_05_425266	259	1	The	the	DT
10_1101-2021_01_05_425266	259	2	UPF	UPF	NNP
10_1101-2021_01_05_425266	259	3	approach	approach	NN
10_1101-2021_01_05_425266	259	4	also	also	RB
10_1101-2021_01_05_425266	259	5	achieved	achieve	VBD
10_1101-2021_01_05_425266	259	6	a	a	DT
10_1101-2021_01_05_425266	259	7	low	low	JJ
10_1101-2021_01_05_425266	259	8	AEPE	AEPE	NNP
10_1101-2021_01_05_425266	259	9	using	use	VBG
10_1101-2021_01_05_425266	259	10	multimodal	multimodal	NN
10_1101-2021_01_05_425266	259	11	integration	integration	NN
10_1101-2021_01_05_425266	259	12	and	and	CC
10_1101-2021_01_05_425266	259	13	4D	4d	NN
10_1101-2021_01_05_425266	259	14	tracking	track	VBG
10_1101-2021_01_05_425266	259	15	to	to	TO
10_1101-2021_01_05_425266	259	16	leverage	leverage	VB
10_1101-2021_01_05_425266	259	17	the	the	DT
10_1101-2021_01_05_425266	259	18	strengths	strength	NNS
10_1101-2021_01_05_425266	259	19	of	of	IN
10_1101-2021_01_05_425266	259	20	both	both	DT
10_1101-2021_01_05_425266	259	21	modalities	modality	NNS
10_1101-2021_01_05_425266	259	22	and	and	CC
10_1101-2021_01_05_425266	259	23	improve	improve	VB
10_1101-2021_01_05_425266	259	24	temporal	temporal	JJ
10_1101-2021_01_05_425266	259	25	consistency	consistency	NN
10_1101-2021_01_05_425266	259	26	[	[	-LRB-
10_1101-2021_01_05_425266	259	27	11	11	CD
10_1101-2021_01_05_425266	259	28	]	]	-RRB-
10_1101-2021_01_05_425266	259	29	.	.	.
10_1101-2021_01_05_425266	260	1	Although	although	IN
10_1101-2021_01_05_425266	260	2	this	this	DT
10_1101-2021_01_05_425266	260	3	approach	approach	NN
10_1101-2021_01_05_425266	260	4	could	could	MD
10_1101-2021_01_05_425266	260	5	in	in	IN
10_1101-2021_01_05_425266	260	6	principle	principle	NN
10_1101-2021_01_05_425266	260	7	be	be	VB
10_1101-2021_01_05_425266	260	8	recast	recast	VBN
10_1101-2021_01_05_425266	260	9	as	as	IN
10_1101-2021_01_05_425266	260	10	DL	DL	NNP
10_1101-2021_01_05_425266	260	11	technique	technique	NN
10_1101-2021_01_05_425266	260	12	using	use	VBG
10_1101-2021_01_05_425266	260	13	recurrent	recurrent	JJ
10_1101-2021_01_05_425266	260	14	neural	neural	JJ
10_1101-2021_01_05_425266	260	15	networks	network	NNS
10_1101-2021_01_05_425266	260	16	[	[	-LRB-
10_1101-2021_01_05_425266	260	17	50	50	CD
10_1101-2021_01_05_425266	260	18	]	]	-RRB-
10_1101-2021_01_05_425266	260	19	,	,	,
10_1101-2021_01_05_425266	260	20	this	this	DT
10_1101-2021_01_05_425266	260	21	would	would	MD
10_1101-2021_01_05_425266	260	22	require	require	VB
10_1101-2021_01_05_425266	260	23	a	a	DT
10_1101-2021_01_05_425266	260	24	significant	significant	JJ
10_1101-2021_01_05_425266	260	25	increase	increase	NN
10_1101-2021_01_05_425266	260	26	in	in	IN
10_1101-2021_01_05_425266	260	27	the	the	DT
10_1101-2021_01_05_425266	260	28	number	number	NN
10_1101-2021_01_05_425266	260	29	of	of	IN
10_1101-2021_01_05_425266	260	30	learnable	learnable	JJ
10_1101-2021_01_05_425266	260	31	parameters	parameter	NNS
10_1101-2021_01_05_425266	260	32	,	,	,
10_1101-2021_01_05_425266	260	33	therefore	therefore	RB
10_1101-2021_01_05_425266	260	34	very	very	RB
10_1101-2021_01_05_425266	260	35	large	large	JJ
10_1101-2021_01_05_425266	260	36	datasets	dataset	NNS
10_1101-2021_01_05_425266	260	37	would	would	MD
10_1101-2021_01_05_425266	260	38	be	be	VB
10_1101-2021_01_05_425266	260	39	needed	need	VBN
10_1101-2021_01_05_425266	260	40	to	to	TO
10_1101-2021_01_05_425266	260	41	avoid	avoid	VB
10_1101-2021_01_05_425266	260	42	overfitting	overfitting	NN
10_1101-2021_01_05_425266	260	43	.	.	.
10_1101-2021_01_05_425266	261	1	Using	use	VBG
10_1101-2021_01_05_425266	261	2	MEVIS	MEVIS	NNP
10_1101-2021_01_05_425266	261	3	as	as	IN
10_1101-2021_01_05_425266	261	4	the	the	DT
10_1101-2021_01_05_425266	261	5	tagging	tag	VBG
10_1101-2021_01_05_425266	261	6	reference	reference	NN
10_1101-2021_01_05_425266	261	7	standard	standard	NN
10_1101-2021_01_05_425266	261	8	,	,	,
10_1101-2021_01_05_425266	261	9	we	-PRON-	PRP
10_1101-2021_01_05_425266	261	10	found	find	VBD
10_1101-2021_01_05_425266	261	11	no	no	DT
10_1101-2021_01_05_425266	261	12	significant	significant	JJ
10_1101-2021_01_05_425266	261	13	differences	difference	NNS
10_1101-2021_01_05_425266	261	14	in	in	IN
10_1101-2021_01_05_425266	261	15	measures	measure	NNS
10_1101-2021_01_05_425266	261	16	of	of	IN
10_1101-2021_01_05_425266	261	17	radial	radial	JJ
10_1101-2021_01_05_425266	261	18	and	and	CC
10_1101-2021_01_05_425266	261	19	circumferential	circumferential	JJ
10_1101-2021_01_05_425266	261	20	ESS	ESS	NNP
10_1101-2021_01_05_425266	261	21	(	(	-LRB-
10_1101-2021_01_05_425266	261	22	Fig	fig	NN
10_1101-2021_01_05_425266	261	23	.	.	.
10_1101-2021_01_05_425266	262	1	2c	2c	NN
10_1101-2021_01_05_425266	262	2	)	)	-RRB-
10_1101-2021_01_05_425266	262	3	.	.	.
10_1101-2021_01_05_425266	263	1	Temporally	temporally	RB
10_1101-2021_01_05_425266	263	2	,	,	,
10_1101-2021_01_05_425266	263	3	we	-PRON-	PRP
10_1101-2021_01_05_425266	263	4	found	find	VBD
10_1101-2021_01_05_425266	263	5	significant	significant	JJ
10_1101-2021_01_05_425266	263	6	differences	difference	NNS
10_1101-2021_01_05_425266	263	7	in	in	IN
10_1101-2021_01_05_425266	263	8	SR	sr	JJ
10_1101-2021_01_05_425266	263	9	measures	measure	NNS
10_1101-2021_01_05_425266	263	10	between	between	IN
10_1101-2021_01_05_425266	263	11	the	the	DT
10_1101-2021_01_05_425266	263	12	two	two	CD
10_1101-2021_01_05_425266	263	13	techniques	technique	NNS
10_1101-2021_01_05_425266	263	14	that	that	WDT
10_1101-2021_01_05_425266	263	15	could	could	MD
10_1101-2021_01_05_425266	263	16	be	be	VB
10_1101-2021_01_05_425266	263	17	due	due	IN
10_1101-2021_01_05_425266	263	18	to	to	IN
10_1101-2021_01_05_425266	263	19	drift	drift	NN
10_1101-2021_01_05_425266	263	20	errors	error	NNS
10_1101-2021_01_05_425266	263	21	in	in	IN
10_1101-2021_01_05_425266	263	22	the	the	DT
10_1101-2021_01_05_425266	263	23	MEVIS	MEVIS	NNP
10_1101-2021_01_05_425266	263	24	implementation	implementation	NN
10_1101-2021_01_05_425266	263	25	,	,	,
10_1101-2021_01_05_425266	263	26	i.e.	i.e.	FW
10_1101-2021_01_05_425266	263	27	,	,	,
10_1101-2021_01_05_425266	263	28	errors	error	NNS
10_1101-2021_01_05_425266	263	29	that	that	WDT
10_1101-2021_01_05_425266	263	30	accumulate	accumulate	VBP
10_1101-2021_01_05_425266	263	31	in	in	IN
10_1101-2021_01_05_425266	263	32	sequential	sequential	JJ
10_1101-2021_01_05_425266	263	33	implementations	implementation	NNS
10_1101-2021_01_05_425266	263	34	in	in	IN
10_1101-2021_01_05_425266	263	35	which	which	WDT
10_1101-2021_01_05_425266	263	36	motion	motion	NN
10_1101-2021_01_05_425266	263	37	is	be	VBZ
10_1101-2021_01_05_425266	263	38	estimated	estimate	VBN
10_1101-2021_01_05_425266	263	39	frame	frame	NN
10_1101-2021_01_05_425266	263	40	-	-	HYPH
10_1101-2021_01_05_425266	263	41	by	by	IN
10_1101-2021_01_05_425266	263	42	-	-	HYPH
10_1101-2021_01_05_425266	263	43	frame	frame	NN
10_1101-2021_01_05_425266	263	44	[	[	-LRB-
10_1101-2021_01_05_425266	263	45	32	32	CD
10_1101-2021_01_05_425266	263	46	]	]	-RRB-
10_1101-2021_01_05_425266	263	47	.	.	.
10_1101-2021_01_05_425266	264	1	Although	although	IN
10_1101-2021_01_05_425266	264	2	we	-PRON-	PRP
10_1101-2021_01_05_425266	264	3	did	do	VBD
10_1101-2021_01_05_425266	264	4	not	not	RB
10_1101-2021_01_05_425266	264	5	observe	observe	VB
10_1101-2021_01_05_425266	264	6	considerable	considerable	JJ
10_1101-2021_01_05_425266	264	7	improvements	improvement	NNS
10_1101-2021_01_05_425266	264	8	in	in	IN
10_1101-2021_01_05_425266	264	9	AEPE	AEPE	NNP
10_1101-2021_01_05_425266	264	10	compared	compare	VBN
10_1101-2021_01_05_425266	264	11	to	to	IN
10_1101-2021_01_05_425266	264	12	tagging-	tagging-	NN
10_1101-2021_01_05_425266	264	13	and	and	CC
10_1101-2021_01_05_425266	264	14	cine	cine	NN
10_1101-2021_01_05_425266	264	15	-	-	HYPH
10_1101-2021_01_05_425266	264	16	based	base	VBN
10_1101-2021_01_05_425266	264	17	methods	method	NNS
10_1101-2021_01_05_425266	264	18	,	,	,
10_1101-2021_01_05_425266	264	19	an	an	DT
10_1101-2021_01_05_425266	264	20	important	important	JJ
10_1101-2021_01_05_425266	264	21	advantage	advantage	NN
10_1101-2021_01_05_425266	264	22	of	of	IN
10_1101-2021_01_05_425266	264	23	our	-PRON-	PRP$
10_1101-2021_01_05_425266	264	24	approach	approach	NN
10_1101-2021_01_05_425266	264	25	is	be	VBZ
10_1101-2021_01_05_425266	264	26	the	the	DT
10_1101-2021_01_05_425266	264	27	reduced	reduced	JJ
10_1101-2021_01_05_425266	264	28	computational	computational	JJ
10_1101-2021_01_05_425266	264	29	complexity	complexity	NN
10_1101-2021_01_05_425266	264	30	(	(	-LRB-
10_1101-2021_01_05_425266	264	31	~13	~13	NFP
10_1101-2021_01_05_425266	264	32	sec	sec	NNP
10_1101-2021_01_05_425266	264	33	in	in	IN
10_1101-2021_01_05_425266	264	34	GPU	GPU	NNP
10_1101-2021_01_05_425266	264	35	)	)	-RRB-
10_1101-2021_01_05_425266	264	36	relative	relative	JJ
10_1101-2021_01_05_425266	264	37	to	to	IN
10_1101-2021_01_05_425266	264	38	the	the	DT
10_1101-2021_01_05_425266	264	39	proposed	propose	VBN
10_1101-2021_01_05_425266	264	40	MEVIS	MEVIS	NNP
10_1101-2021_01_05_425266	264	41	(	(	-LRB-
10_1101-2021_01_05_425266	264	42	1	1	CD
10_1101-2021_01_05_425266	264	43	-	-	SYM
10_1101-2021_01_05_425266	264	44	2	2	CD
10_1101-2021_01_05_425266	264	45	h	h	NN
10_1101-2021_01_05_425266	264	46	)	)	-RRB-
10_1101-2021_01_05_425266	264	47	,	,	,
10_1101-2021_01_05_425266	264	48	IUCL	IUCL	NNP
10_1101-2021_01_05_425266	264	49	(	(	-LRB-
10_1101-2021_01_05_425266	264	50	3	3	CD
10_1101-2021_01_05_425266	264	51	-	-	SYM
10_1101-2021_01_05_425266	264	52	6	6	CD
10_1101-2021_01_05_425266	264	53	h	h	NN
10_1101-2021_01_05_425266	264	54	)	)	-RRB-
10_1101-2021_01_05_425266	264	55	,	,	,
10_1101-2021_01_05_425266	264	56	UPF	UPF	NNP
10_1101-2021_01_05_425266	264	57	(	(	-LRB-
10_1101-2021_01_05_425266	264	58	6	6	CD
10_1101-2021_01_05_425266	264	59	h	h	NN
10_1101-2021_01_05_425266	264	60	)	)	-RRB-
10_1101-2021_01_05_425266	264	61	and	and	CC
10_1101-2021_01_05_425266	264	62	INRIA	INRIA	NNP
10_1101-2021_01_05_425266	264	63	(	(	-LRB-
10_1101-2021_01_05_425266	264	64	5	5	CD
10_1101-2021_01_05_425266	264	65	h	h	NN
10_1101-2021_01_05_425266	264	66	)	)	-RRB-
10_1101-2021_01_05_425266	264	67	approaches	approaches	NNP
10_1101-2021_01_05_425266	264	68	[	[	-LRB-
10_1101-2021_01_05_425266	264	69	32	32	CD
10_1101-2021_01_05_425266	264	70	]	]	-RRB-
10_1101-2021_01_05_425266	264	71	.	.	.
10_1101-2021_01_05_425266	265	1	Specifically	specifically	RB
10_1101-2021_01_05_425266	265	2	,	,	,
10_1101-2021_01_05_425266	265	3	because	because	IN
10_1101-2021_01_05_425266	265	4	once	once	RB
10_1101-2021_01_05_425266	265	5	trained	train	VBD
10_1101-2021_01_05_425266	265	6	our	-PRON-	PRP$
10_1101-2021_01_05_425266	265	7	network	network	NN
10_1101-2021_01_05_425266	265	8	does	do	VBZ
10_1101-2021_01_05_425266	265	9	not	not	RB
10_1101-2021_01_05_425266	265	10	optimize	optimize	VB
10_1101-2021_01_05_425266	265	11	for	for	IN
10_1101-2021_01_05_425266	265	12	a	a	DT
10_1101-2021_01_05_425266	265	13	specific	specific	JJ
10_1101-2021_01_05_425266	265	14	test	test	NN
10_1101-2021_01_05_425266	265	15	subject	subject	NN
10_1101-2021_01_05_425266	265	16	(	(	-LRB-
10_1101-2021_01_05_425266	265	17	i.e.	i.e.	FW
10_1101-2021_01_05_425266	265	18	,	,	,
10_1101-2021_01_05_425266	265	19	it	-PRON-	PRP
10_1101-2021_01_05_425266	265	20	does	do	VBZ
10_1101-2021_01_05_425266	265	21	not	not	RB
10_1101-2021_01_05_425266	265	22	iterate	iterate	VB
10_1101-2021_01_05_425266	265	23	on	on	IN
10_1101-2021_01_05_425266	265	24	the	the	DT
10_1101-2021_01_05_425266	265	25	cine	cine	NN
10_1101-2021_01_05_425266	265	26	-	-	HYPH
10_1101-2021_01_05_425266	265	27	data	data	NN
10_1101-2021_01_05_425266	265	28	to	to	TO
10_1101-2021_01_05_425266	265	29	generate	generate	VB
10_1101-2021_01_05_425266	265	30	the	the	DT
10_1101-2021_01_05_425266	265	31	desired	desire	VBN
10_1101-2021_01_05_425266	265	32	output	output	NN
10_1101-2021_01_05_425266	265	33	)	)	-RRB-
10_1101-2021_01_05_425266	265	34	,	,	,
10_1101-2021_01_05_425266	265	35	centering	centering	NN
10_1101-2021_01_05_425266	265	36	,	,	,
10_1101-2021_01_05_425266	265	37	segmentation	segmentation	NN
10_1101-2021_01_05_425266	265	38	,	,	,
10_1101-2021_01_05_425266	265	39	and	and	CC
10_1101-2021_01_05_425266	265	40	motion	motion	NN
10_1101-2021_01_05_425266	265	41	estimation	estimation	NN
10_1101-2021_01_05_425266	265	42	for	for	IN
10_1101-2021_01_05_425266	265	43	the	the	DT
10_1101-2021_01_05_425266	265	44	entire	entire	JJ
10_1101-2021_01_05_425266	265	45	cardiac	cardiac	JJ
10_1101-2021_01_05_425266	265	46	cycle	cycle	NN
10_1101-2021_01_05_425266	265	47	can	can	MD
10_1101-2021_01_05_425266	265	48	be	be	VB
10_1101-2021_01_05_425266	265	49	accomplished	accomplish	VBN
10_1101-2021_01_05_425266	265	50	much	much	RB
10_1101-2021_01_05_425266	265	51	faster	fast	JJR
10_1101-2021_01_05_425266	265	52	(	(	-LRB-
10_1101-2021_01_05_425266	265	53	<	<	XX
10_1101-2021_01_05_425266	265	54	2	2	CD
10_1101-2021_01_05_425266	265	55	min	min	NN
10_1101-2021_01_05_425266	265	56	in	in	IN
10_1101-2021_01_05_425266	265	57	CPU	CPU	NNP
10_1101-2021_01_05_425266	265	58	)	)	-RRB-
10_1101-2021_01_05_425266	265	59	.	.	.
10_1101-2021_01_05_425266	266	1	An	an	DT
10_1101-2021_01_05_425266	266	2	additional	additional	JJ
10_1101-2021_01_05_425266	266	3	advantage	advantage	NN
10_1101-2021_01_05_425266	266	4	of	of	IN
10_1101-2021_01_05_425266	266	5	non	non	JJ
10_1101-2021_01_05_425266	266	6	-	-	JJ
10_1101-2021_01_05_425266	266	7	iterative	iterative	JJ
10_1101-2021_01_05_425266	266	8	implementations	implementation	NNS
10_1101-2021_01_05_425266	266	9	is	be	VBZ
10_1101-2021_01_05_425266	266	10	that	that	IN
10_1101-2021_01_05_425266	266	11	we	-PRON-	PRP
10_1101-2021_01_05_425266	266	12	obtain	obtain	VBP
10_1101-2021_01_05_425266	266	13	deterministic	deterministic	JJ
10_1101-2021_01_05_425266	266	14	results	result	NNS
10_1101-2021_01_05_425266	266	15	.	.	.
10_1101-2021_01_05_425266	267	1	Since	since	IN
10_1101-2021_01_05_425266	267	2	this	this	DT
10_1101-2021_01_05_425266	267	3	implies	imply	VBZ
10_1101-2021_01_05_425266	267	4	the	the	DT
10_1101-2021_01_05_425266	267	5	exact	exact	JJ
10_1101-2021_01_05_425266	267	6	same	same	JJ
10_1101-2021_01_05_425266	267	7	motion	motion	NN
10_1101-2021_01_05_425266	267	8	estimates	estimate	NNS
10_1101-2021_01_05_425266	267	9	are	be	VBP
10_1101-2021_01_05_425266	267	10	generated	generate	VBN
10_1101-2021_01_05_425266	267	11	given	give	VBN
10_1101-2021_01_05_425266	267	12	the	the	DT
10_1101-2021_01_05_425266	267	13	same	same	JJ
10_1101-2021_01_05_425266	267	14	input	input	NN
10_1101-2021_01_05_425266	267	15	,	,	,
10_1101-2021_01_05_425266	267	16	we	-PRON-	PRP
10_1101-2021_01_05_425266	267	17	expect	expect	VBP
10_1101-2021_01_05_425266	267	18	strain	strain	NN
10_1101-2021_01_05_425266	267	19	measures	measure	NNS
10_1101-2021_01_05_425266	267	20	not	not	RB
10_1101-2021_01_05_425266	267	21	to	to	TO
10_1101-2021_01_05_425266	267	22	vary	vary	VB
10_1101-2021_01_05_425266	267	23	meaningfully	meaningfully	RB
10_1101-2021_01_05_425266	267	24	if	if	IN
10_1101-2021_01_05_425266	267	25	the	the	DT
10_1101-2021_01_05_425266	267	26	anatomy	anatomy	NN
10_1101-2021_01_05_425266	267	27	and	and	CC
10_1101-2021_01_05_425266	267	28	function	function	NN
10_1101-2021_01_05_425266	267	29	remain	remain	VBP
10_1101-2021_01_05_425266	267	30	fixed	fix	VBN
10_1101-2021_01_05_425266	267	31	.	.	.
10_1101-2021_01_05_425266	268	1	Here	here	RB
10_1101-2021_01_05_425266	268	2	we	-PRON-	PRP
10_1101-2021_01_05_425266	268	3	studied	study	VBD
10_1101-2021_01_05_425266	268	4	this	this	DT
10_1101-2021_01_05_425266	268	5	property	property	NN
10_1101-2021_01_05_425266	268	6	by	by	IN
10_1101-2021_01_05_425266	268	7	evaluating	evaluate	VBG
10_1101-2021_01_05_425266	268	8	the	the	DT
10_1101-2021_01_05_425266	268	9	intra	intra	JJ
10_1101-2021_01_05_425266	268	10	-	-	JJ
10_1101-2021_01_05_425266	268	11	scanner	scanner	JJ
10_1101-2021_01_05_425266	268	12	repeatability	repeatability	NN
10_1101-2021_01_05_425266	268	13	,	,	,
10_1101-2021_01_05_425266	268	14	an	an	DT
10_1101-2021_01_05_425266	268	15	important	important	JJ
10_1101-2021_01_05_425266	268	16	aspect	aspect	NN
10_1101-2021_01_05_425266	268	17	to	to	TO
10_1101-2021_01_05_425266	268	18	consider	consider	VB
10_1101-2021_01_05_425266	268	19	when	when	WRB
10_1101-2021_01_05_425266	268	20	assessing	assess	VBG
10_1101-2021_01_05_425266	268	21	the	the	DT
10_1101-2021_01_05_425266	268	22	potential	potential	JJ
10_1101-2021_01_05_425266	268	23	clinical	clinical	JJ
10_1101-2021_01_05_425266	268	24	utility	utility	NN
10_1101-2021_01_05_425266	268	25	of	of	IN
10_1101-2021_01_05_425266	268	26	DeepStrain	DeepStrain	NNP
10_1101-2021_01_05_425266	268	27	.	.	.
10_1101-2021_01_05_425266	269	1	Global	global	JJ
10_1101-2021_01_05_425266	269	2	measures	measure	NNS
10_1101-2021_01_05_425266	269	3	of	of	IN
10_1101-2021_01_05_425266	269	4	ESS	ESS	NNP
10_1101-2021_01_05_425266	269	5	showed	show	VBD
10_1101-2021_01_05_425266	269	6	excellent	excellent	JJ
10_1101-2021_01_05_425266	269	7	repeatability	repeatability	NN
10_1101-2021_01_05_425266	269	8	with	with	IN
10_1101-2021_01_05_425266	269	9	narrow	narrow	JJ
10_1101-2021_01_05_425266	269	10	LoAs	LoAs	NNP
10_1101-2021_01_05_425266	269	11	and	and	CC
10_1101-2021_01_05_425266	269	12	with	with	IN
10_1101-2021_01_05_425266	269	13	absolute	absolute	JJ
10_1101-2021_01_05_425266	269	14	Fig	Fig	NNP
10_1101-2021_01_05_425266	269	15	.	.	.
10_1101-2021_01_05_425266	270	1	4	4	LS
10_1101-2021_01_05_425266	270	2	.	.	.
10_1101-2021_01_05_425266	271	1	Intra	intra	JJ
10_1101-2021_01_05_425266	271	2	-	-	JJ
10_1101-2021_01_05_425266	271	3	scanner	scanner	NN
10_1101-2021_01_05_425266	271	4	repeatability	repeatability	NN
10_1101-2021_01_05_425266	271	5	of	of	IN
10_1101-2021_01_05_425266	271	6	regional	regional	JJ
10_1101-2021_01_05_425266	271	7	myocardial	myocardial	JJ
10_1101-2021_01_05_425266	271	8	strain	strain	NN
10_1101-2021_01_05_425266	271	9	measures	measure	NNS
10_1101-2021_01_05_425266	271	10	.	.	.
10_1101-2021_01_05_425266	272	1	(	(	-LRB-
10_1101-2021_01_05_425266	272	2	a	a	LS
10_1101-2021_01_05_425266	272	3	)	)	-RRB-
10_1101-2021_01_05_425266	272	4	Average	average	NN
10_1101-2021_01_05_425266	272	5	of	of	IN
10_1101-2021_01_05_425266	272	6	subject	subject	NN
10_1101-2021_01_05_425266	272	7	-	-	HYPH
10_1101-2021_01_05_425266	272	8	specific	specific	JJ
10_1101-2021_01_05_425266	272	9	regional	regional	JJ
10_1101-2021_01_05_425266	272	10	end	end	NN
10_1101-2021_01_05_425266	272	11	-	-	HYPH
10_1101-2021_01_05_425266	272	12	systolic	systolic	JJ
10_1101-2021_01_05_425266	272	13	strain	strain	NN
10_1101-2021_01_05_425266	272	14	(	(	-LRB-
10_1101-2021_01_05_425266	272	15	ESS	ESS	NNP
10_1101-2021_01_05_425266	272	16	)	)	-RRB-
10_1101-2021_01_05_425266	272	17	maps	map	NNS
10_1101-2021_01_05_425266	272	18	during	during	IN
10_1101-2021_01_05_425266	272	19	two	two	CD
10_1101-2021_01_05_425266	272	20	acquisitions	acquisition	NNS
10_1101-2021_01_05_425266	272	21	.	.	.
10_1101-2021_01_05_425266	273	1	(	(	-LRB-
10_1101-2021_01_05_425266	273	2	b	b	LS
10_1101-2021_01_05_425266	273	3	)	)	-RRB-
10_1101-2021_01_05_425266	273	4	Average	average	JJ
10_1101-2021_01_05_425266	273	5	changes	change	NNS
10_1101-2021_01_05_425266	273	6	between	between	IN
10_1101-2021_01_05_425266	273	7	acquisitions	acquisition	NNS
10_1101-2021_01_05_425266	273	8	.	.	.
10_1101-2021_01_05_425266	274	1	.CC	.CC	NFP
10_1101-2021_01_05_425266	274	2	-	-	:
10_1101-2021_01_05_425266	274	3	BY	by	IN
10_1101-2021_01_05_425266	274	4	-	-	HYPH
10_1101-2021_01_05_425266	274	5	NC	NC	NNP
10_1101-2021_01_05_425266	274	6	-	-	HYPH
10_1101-2021_01_05_425266	274	7	ND	ND	NNP
10_1101-2021_01_05_425266	274	8	4.0	4.0	CD
10_1101-2021_01_05_425266	274	9	International	International	NNP
10_1101-2021_01_05_425266	274	10	licenseavailable	licenseavailable	NN
10_1101-2021_01_05_425266	274	11	under	under	IN
10_1101-2021_01_05_425266	274	12	a	a	DT
10_1101-2021_01_05_425266	274	13	(	(	-LRB-
10_1101-2021_01_05_425266	274	14	which	which	WDT
10_1101-2021_01_05_425266	274	15	was	be	VBD
10_1101-2021_01_05_425266	274	16	not	not	RB
10_1101-2021_01_05_425266	274	17	certified	certify	VBN
10_1101-2021_01_05_425266	274	18	by	by	IN
10_1101-2021_01_05_425266	274	19	peer	peer	NN
10_1101-2021_01_05_425266	274	20	review	review	NN
10_1101-2021_01_05_425266	274	21	)	)	-RRB-
10_1101-2021_01_05_425266	274	22	is	be	VBZ
10_1101-2021_01_05_425266	274	23	the	the	DT
10_1101-2021_01_05_425266	274	24	author	author	NN
10_1101-2021_01_05_425266	274	25	/	/	SYM
10_1101-2021_01_05_425266	274	26	funder	funder	NN
10_1101-2021_01_05_425266	274	27	,	,	,
10_1101-2021_01_05_425266	274	28	who	who	WP
10_1101-2021_01_05_425266	274	29	has	have	VBZ
10_1101-2021_01_05_425266	274	30	granted	grant	VBN
10_1101-2021_01_05_425266	274	31	bioRxiv	biorxiv	IN
10_1101-2021_01_05_425266	274	32	a	a	DT
10_1101-2021_01_05_425266	274	33	license	license	NN
10_1101-2021_01_05_425266	274	34	to	to	TO
10_1101-2021_01_05_425266	274	35	display	display	VB
10_1101-2021_01_05_425266	274	36	the	the	DT
10_1101-2021_01_05_425266	274	37	preprint	preprint	NN
10_1101-2021_01_05_425266	274	38	in	in	IN
10_1101-2021_01_05_425266	274	39	perpetuity	perpetuity	NN
10_1101-2021_01_05_425266	274	40	.	.	.
10_1101-2021_01_05_425266	275	1	It	-PRON-	PRP
10_1101-2021_01_05_425266	275	2	is	be	VBZ
10_1101-2021_01_05_425266	275	3	made	make	VBN
10_1101-2021_01_05_425266	275	4	The	the	DT
10_1101-2021_01_05_425266	275	5	copyright	copyright	NN
10_1101-2021_01_05_425266	275	6	holder	holder	NN
10_1101-2021_01_05_425266	275	7	for	for	IN
10_1101-2021_01_05_425266	275	8	this	this	DT
10_1101-2021_01_05_425266	275	9	preprintthis	preprintthis	NN
10_1101-2021_01_05_425266	275	10	version	version	NN
10_1101-2021_01_05_425266	275	11	posted	post	VBD
10_1101-2021_01_05_425266	275	12	January	January	NNP
10_1101-2021_01_05_425266	275	13	7	7	CD
10_1101-2021_01_05_425266	275	14	,	,	,
10_1101-2021_01_05_425266	275	15	2021	2021	CD
10_1101-2021_01_05_425266	275	16	.	.	.
10_1101-2021_01_05_425266	275	17	;	;	:
10_1101-2021_01_05_425266	275	18	https://doi.org/10.1101/2021.01.05.425266doi	https://doi.org/10.1101/2021.01.05.425266doi	NNP
10_1101-2021_01_05_425266	275	19	:	:	:
10_1101-2021_01_05_425266	275	20	bioRxiv	biorxiv	IN
10_1101-2021_01_05_425266	275	21	preprint	preprint	NN
10_1101-2021_01_05_425266	275	22	https://doi.org/10.1101/2021.01.05.425266	https://doi.org/10.1101/2021.01.05.425266	NN
10_1101-2021_01_05_425266	275	23	http://creativecommons.org/licenses/by-nc-nd/4.0/	http://creativecommons.org/licenses/by-nc-nd/4.0/	JJ
10_1101-2021_01_05_425266	275	24	RCs	rc	NNS
10_1101-2021_01_05_425266	275	25	of	of	IN
10_1101-2021_01_05_425266	275	26	less	less	JJR
10_1101-2021_01_05_425266	275	27	than	than	IN
10_1101-2021_01_05_425266	275	28	5	5	CD
10_1101-2021_01_05_425266	275	29	%	%	NN
10_1101-2021_01_05_425266	275	30	on	on	IN
10_1101-2021_01_05_425266	275	31	average	average	JJ
10_1101-2021_01_05_425266	275	32	,	,	,
10_1101-2021_01_05_425266	275	33	and	and	CC
10_1101-2021_01_05_425266	275	34	regional	regional	JJ
10_1101-2021_01_05_425266	275	35	analyses	analysis	NNS
10_1101-2021_01_05_425266	275	36	also	also	RB
10_1101-2021_01_05_425266	275	37	showed	show	VBD
10_1101-2021_01_05_425266	275	38	the	the	DT
10_1101-2021_01_05_425266	275	39	average	average	JJ
10_1101-2021_01_05_425266	275	40	RC	RC	NNP
10_1101-2021_01_05_425266	275	41	and	and	CC
10_1101-2021_01_05_425266	275	42	aRC	aRC	NNP
10_1101-2021_01_05_425266	275	43	was	be	VBD
10_1101-2021_01_05_425266	275	44	less	less	JJR
10_1101-2021_01_05_425266	275	45	than	than	IN
10_1101-2021_01_05_425266	275	46	1	1	CD
10_1101-2021_01_05_425266	275	47	%	%	NN
10_1101-2021_01_05_425266	275	48	in	in	IN
10_1101-2021_01_05_425266	275	49	more	more	JJR
10_1101-2021_01_05_425266	275	50	than	than	IN
10_1101-2021_01_05_425266	275	51	half	half	NN
10_1101-2021_01_05_425266	275	52	of	of	IN
10_1101-2021_01_05_425266	275	53	the	the	DT
10_1101-2021_01_05_425266	275	54	polar	polar	JJ
10_1101-2021_01_05_425266	275	55	map	map	NN
10_1101-2021_01_05_425266	275	56	segments	segment	NNS
10_1101-2021_01_05_425266	275	57	,	,	,
10_1101-2021_01_05_425266	275	58	with	with	IN
10_1101-2021_01_05_425266	275	59	the	the	DT
10_1101-2021_01_05_425266	275	60	maximum	maximum	JJ
10_1101-2021_01_05_425266	275	61	difference	difference	NN
10_1101-2021_01_05_425266	275	62	being	be	VBG
10_1101-2021_01_05_425266	275	63	7	7	CD
10_1101-2021_01_05_425266	275	64	%	%	NN
10_1101-2021_01_05_425266	275	65	.	.	.
10_1101-2021_01_05_425266	276	1	Finally	finally	RB
10_1101-2021_01_05_425266	276	2	,	,	,
10_1101-2021_01_05_425266	276	3	all	all	DT
10_1101-2021_01_05_425266	276	4	SR	sr	JJ
10_1101-2021_01_05_425266	276	5	measures	measure	NNS
10_1101-2021_01_05_425266	276	6	showed	show	VBD
10_1101-2021_01_05_425266	276	7	good	good	JJ
10_1101-2021_01_05_425266	276	8	to	to	IN
10_1101-2021_01_05_425266	276	9	excellent	excellent	JJ
10_1101-2021_01_05_425266	276	10	repeatability	repeatability	NN
10_1101-2021_01_05_425266	276	11	,	,	,
10_1101-2021_01_05_425266	276	12	except	except	IN
10_1101-2021_01_05_425266	276	13	for	for	IN
10_1101-2021_01_05_425266	276	14	SR	SR	NNP
10_1101-2021_01_05_425266	276	15	which	which	WDT
10_1101-2021_01_05_425266	276	16	was	be	VBD
10_1101-2021_01_05_425266	276	17	moderate	moderate	JJ
10_1101-2021_01_05_425266	276	18	.	.	.
10_1101-2021_01_05_425266	277	1	C.	C.	NNP
10_1101-2021_01_05_425266	277	2	Clinical	Clinical	NNP
10_1101-2021_01_05_425266	277	3	Evaluation	Evaluation	NNP
10_1101-2021_01_05_425266	277	4	DeepStrain	DeepStrain	NNP
10_1101-2021_01_05_425266	277	5	could	could	MD
10_1101-2021_01_05_425266	277	6	be	be	VB
10_1101-2021_01_05_425266	277	7	applied	apply	VBN
10_1101-2021_01_05_425266	277	8	in	in	IN
10_1101-2021_01_05_425266	277	9	a	a	DT
10_1101-2021_01_05_425266	277	10	wide	wide	JJ
10_1101-2021_01_05_425266	277	11	range	range	NN
10_1101-2021_01_05_425266	277	12	of	of	IN
10_1101-2021_01_05_425266	277	13	clinical	clinical	JJ
10_1101-2021_01_05_425266	277	14	applications	application	NNS
10_1101-2021_01_05_425266	277	15	,	,	,
10_1101-2021_01_05_425266	277	16	e.g.	e.g.	RB
10_1101-2021_01_05_425266	277	17	,	,	,
10_1101-2021_01_05_425266	277	18	automated	automate	VBD
10_1101-2021_01_05_425266	277	19	extraction	extraction	NN
10_1101-2021_01_05_425266	277	20	of	of	IN
10_1101-2021_01_05_425266	277	21	imaging	image	VBG
10_1101-2021_01_05_425266	277	22	phenotypes	phenotype	NNS
10_1101-2021_01_05_425266	277	23	from	from	IN
10_1101-2021_01_05_425266	277	24	large	large	JJ
10_1101-2021_01_05_425266	277	25	-	-	HYPH
10_1101-2021_01_05_425266	277	26	scale	scale	NN
10_1101-2021_01_05_425266	277	27	databases	database	NNS
10_1101-2021_01_05_425266	277	28	(	(	-LRB-
10_1101-2021_01_05_425266	277	29	e.g.	e.g.	RB
10_1101-2021_01_05_425266	277	30	,	,	,
10_1101-2021_01_05_425266	277	31	UK	UK	NNP
10_1101-2021_01_05_425266	277	32	biobank	biobank	NNP
10_1101-2021_01_05_425266	277	33	[	[	-LRB-
10_1101-2021_01_05_425266	277	34	51	51	CD
10_1101-2021_01_05_425266	277	35	]	]	-RRB-
10_1101-2021_01_05_425266	277	36	)	)	-RRB-
10_1101-2021_01_05_425266	277	37	.	.	.
10_1101-2021_01_05_425266	278	1	Such	such	JJ
10_1101-2021_01_05_425266	278	2	phenotypes	phenotype	NNS
10_1101-2021_01_05_425266	278	3	include	include	VBP
10_1101-2021_01_05_425266	278	4	global	global	JJ
10_1101-2021_01_05_425266	278	5	and	and	CC
10_1101-2021_01_05_425266	278	6	regional	regional	JJ
10_1101-2021_01_05_425266	278	7	strain	strain	NN
10_1101-2021_01_05_425266	278	8	,	,	,
10_1101-2021_01_05_425266	278	9	which	which	WDT
10_1101-2021_01_05_425266	278	10	are	be	VBP
10_1101-2021_01_05_425266	278	11	important	important	JJ
10_1101-2021_01_05_425266	278	12	measures	measure	NNS
10_1101-2021_01_05_425266	278	13	in	in	IN
10_1101-2021_01_05_425266	278	14	the	the	DT
10_1101-2021_01_05_425266	278	15	setting	setting	NN
10_1101-2021_01_05_425266	278	16	of	of	IN
10_1101-2021_01_05_425266	278	17	existing	exist	VBG
10_1101-2021_01_05_425266	278	18	dysfunction	dysfunction	NN
10_1101-2021_01_05_425266	278	19	with	with	IN
10_1101-2021_01_05_425266	278	20	preserved	preserve	VBN
10_1101-2021_01_05_425266	278	21	EF	EF	NNP
10_1101-2021_01_05_425266	278	22	[	[	-LRB-
10_1101-2021_01_05_425266	278	23	3	3	CD
10_1101-2021_01_05_425266	278	24	]	]	-RRB-
10_1101-2021_01_05_425266	278	25	.	.	.
10_1101-2021_01_05_425266	279	1	DeepStrain	DeepStrain	NNP
10_1101-2021_01_05_425266	279	2	generated	generate	VBN
10_1101-2021_01_05_425266	279	3	measures	measure	NNS
10_1101-2021_01_05_425266	279	4	of	of	IN
10_1101-2021_01_05_425266	279	5	global	global	JJ
10_1101-2021_01_05_425266	279	6	strain	strain	NN
10_1101-2021_01_05_425266	279	7	and	and	CC
10_1101-2021_01_05_425266	279	8	SR	SR	NNP
10_1101-2021_01_05_425266	279	9	over	over	IN
10_1101-2021_01_05_425266	279	10	the	the	DT
10_1101-2021_01_05_425266	279	11	entire	entire	JJ
10_1101-2021_01_05_425266	279	12	cardiac	cardiac	JJ
10_1101-2021_01_05_425266	279	13	cycle	cycle	NN
10_1101-2021_01_05_425266	279	14	from	from	IN
10_1101-2021_01_05_425266	279	15	a	a	DT
10_1101-2021_01_05_425266	279	16	cohort	cohort	NN
10_1101-2021_01_05_425266	279	17	of	of	IN
10_1101-2021_01_05_425266	279	18	100	100	CD
10_1101-2021_01_05_425266	279	19	subjects	subject	NNS
10_1101-2021_01_05_425266	279	20	in	in	IN
10_1101-2021_01_05_425266	279	21	<	<	NNP
10_1101-2021_01_05_425266	279	22	2	2	CD
10_1101-2021_01_05_425266	279	23	min	min	NN
10_1101-2021_01_05_425266	279	24	(	(	-LRB-
10_1101-2021_01_05_425266	279	25	Fig	fig	NN
10_1101-2021_01_05_425266	279	26	.	.	.
10_1101-2021_01_05_425266	280	1	5	5	LS
10_1101-2021_01_05_425266	280	2	)	)	-RRB-
10_1101-2021_01_05_425266	280	3	.	.	.
10_1101-2021_01_05_425266	281	1	These	these	DT
10_1101-2021_01_05_425266	281	2	results	result	NNS
10_1101-2021_01_05_425266	281	3	showed	show	VBD
10_1101-2021_01_05_425266	281	4	that	that	IN
10_1101-2021_01_05_425266	281	5	radial	radial	NNP
10_1101-2021_01_05_425266	281	6	SRe	SRe	NNP
10_1101-2021_01_05_425266	281	7	was	be	VBD
10_1101-2021_01_05_425266	281	8	reduced	reduce	VBN
10_1101-2021_01_05_425266	281	9	in	in	IN
10_1101-2021_01_05_425266	281	10	patients	patient	NNS
10_1101-2021_01_05_425266	281	11	with	with	IN
10_1101-2021_01_05_425266	281	12	HCM	HCM	NNP
10_1101-2021_01_05_425266	281	13	and	and	CC
10_1101-2021_01_05_425266	281	14	ARV	ARV	NNP
10_1101-2021_01_05_425266	281	15	,	,	,
10_1101-2021_01_05_425266	281	16	despite	despite	IN
10_1101-2021_01_05_425266	281	17	having	have	VBG
10_1101-2021_01_05_425266	281	18	a	a	DT
10_1101-2021_01_05_425266	281	19	normal	normal	JJ
10_1101-2021_01_05_425266	281	20	or	or	CC
10_1101-2021_01_05_425266	281	21	increased	increase	VBN
10_1101-2021_01_05_425266	281	22	LV	LV	NNP
10_1101-2021_01_05_425266	281	23	EF	EF	NNP
10_1101-2021_01_05_425266	281	24	.	.	.
10_1101-2021_01_05_425266	282	1	Decreased	decrease	VBD
10_1101-2021_01_05_425266	282	2	SRe	SRe	NNS
10_1101-2021_01_05_425266	282	3	with	with	IN
10_1101-2021_01_05_425266	282	4	normal	normal	JJ
10_1101-2021_01_05_425266	282	5	EF	EF	NNP
10_1101-2021_01_05_425266	282	6	is	be	VBZ
10_1101-2021_01_05_425266	282	7	suggestive	suggestive	JJ
10_1101-2021_01_05_425266	282	8	of	of	IN
10_1101-2021_01_05_425266	282	9	subclinical	subclinical	JJ
10_1101-2021_01_05_425266	282	10	LV	LV	NNP
10_1101-2021_01_05_425266	282	11	diastolic	diastolic	NN
10_1101-2021_01_05_425266	282	12	dysfunction	dysfunction	NN
10_1101-2021_01_05_425266	282	13	,	,	,
10_1101-2021_01_05_425266	282	14	which	which	WDT
10_1101-2021_01_05_425266	282	15	is	be	VBZ
10_1101-2021_01_05_425266	282	16	in	in	IN
10_1101-2021_01_05_425266	282	17	agreement	agreement	NN
10_1101-2021_01_05_425266	282	18	with	with	IN
10_1101-2021_01_05_425266	282	19	previous	previous	JJ
10_1101-2021_01_05_425266	282	20	findings	finding	NNS
10_1101-2021_01_05_425266	282	21	[	[	-LRB-
10_1101-2021_01_05_425266	282	22	52	52	CD
10_1101-2021_01_05_425266	282	23	]	]	-RRB-
10_1101-2021_01_05_425266	282	24	,	,	,
10_1101-2021_01_05_425266	282	25	[	[	-LRB-
10_1101-2021_01_05_425266	282	26	53	53	CD
10_1101-2021_01_05_425266	282	27	]	]	-RRB-
10_1101-2021_01_05_425266	282	28	.	.	.
10_1101-2021_01_05_425266	283	1	Our	-PRON-	PRP$
10_1101-2021_01_05_425266	283	2	results	result	NNS
10_1101-2021_01_05_425266	283	3	also	also	RB
10_1101-2021_01_05_425266	283	4	showed	show	VBD
10_1101-2021_01_05_425266	283	5	DeepStrain	DeepStrain	NNP
10_1101-2021_01_05_425266	283	6	-	-	HYPH
10_1101-2021_01_05_425266	283	7	based	base	VBN
10_1101-2021_01_05_425266	283	8	maps	map	NNS
10_1101-2021_01_05_425266	283	9	could	could	MD
10_1101-2021_01_05_425266	283	10	be	be	VB
10_1101-2021_01_05_425266	283	11	used	use	VBN
10_1101-2021_01_05_425266	283	12	to	to	TO
10_1101-2021_01_05_425266	283	13	characterize	characterize	VB
10_1101-2021_01_05_425266	283	14	regional	regional	JJ
10_1101-2021_01_05_425266	283	15	differences	difference	NNS
10_1101-2021_01_05_425266	283	16	between	between	IN
10_1101-2021_01_05_425266	283	17	groups	group	NNS
10_1101-2021_01_05_425266	283	18	(	(	-LRB-
10_1101-2021_01_05_425266	283	19	supplementary	supplementary	JJ
10_1101-2021_01_05_425266	283	20	Fig	Fig	NNP
10_1101-2021_01_05_425266	283	21	.	.	.
10_1101-2021_01_05_425266	284	1	S6	S6	NNP
10_1101-2021_01_05_425266	284	2	)	)	-RRB-
10_1101-2021_01_05_425266	284	3	.	.	.
10_1101-2021_01_05_425266	285	1	At	at	IN
10_1101-2021_01_05_425266	285	2	an	an	DT
10_1101-2021_01_05_425266	285	3	individual	individual	JJ
10_1101-2021_01_05_425266	285	4	level	level	NN
10_1101-2021_01_05_425266	285	5	(	(	-LRB-
10_1101-2021_01_05_425266	285	6	Fig	fig	NN
10_1101-2021_01_05_425266	285	7	.	.	.
10_1101-2021_01_05_425266	286	1	6	6	LS
10_1101-2021_01_05_425266	286	2	)	)	-RRB-
10_1101-2021_01_05_425266	286	3	,	,	,
10_1101-2021_01_05_425266	286	4	we	-PRON-	PRP
10_1101-2021_01_05_425266	286	5	showed	show	VBD
10_1101-2021_01_05_425266	286	6	that	that	IN
10_1101-2021_01_05_425266	286	7	in	in	IN
10_1101-2021_01_05_425266	286	8	MI	MI	NNP
10_1101-2021_01_05_425266	286	9	patients	patient	NNS
10_1101-2021_01_05_425266	286	10	,	,	,
10_1101-2021_01_05_425266	286	11	polar	polar	JJ
10_1101-2021_01_05_425266	286	12	segments	segment	NNS
10_1101-2021_01_05_425266	286	13	with	with	IN
10_1101-2021_01_05_425266	286	14	decreased	decrease	VBN
10_1101-2021_01_05_425266	286	15	circumferential	circumferential	JJ
10_1101-2021_01_05_425266	286	16	strain	strain	NN
10_1101-2021_01_05_425266	286	17	matched	match	VBD
10_1101-2021_01_05_425266	286	18	myocardial	myocardial	JJ
10_1101-2021_01_05_425266	286	19	regions	region	NNS
10_1101-2021_01_05_425266	286	20	with	with	IN
10_1101-2021_01_05_425266	286	21	infarcted	infarcte	VBN
10_1101-2021_01_05_425266	286	22	tissue	tissue	NN
10_1101-2021_01_05_425266	286	23	.	.	.
10_1101-2021_01_05_425266	287	1	Further	further	RB
10_1101-2021_01_05_425266	287	2	,	,	,
10_1101-2021_01_05_425266	287	3	we	-PRON-	PRP
10_1101-2021_01_05_425266	287	4	showed	show	VBD
10_1101-2021_01_05_425266	287	5	that	that	IN
10_1101-2021_01_05_425266	287	6	the	the	DT
10_1101-2021_01_05_425266	287	7	changes	change	NNS
10_1101-2021_01_05_425266	287	8	in	in	IN
10_1101-2021_01_05_425266	287	9	regional	regional	JJ
10_1101-2021_01_05_425266	287	10	strain	strain	NN
10_1101-2021_01_05_425266	287	11	due	due	IN
10_1101-2021_01_05_425266	287	12	to	to	IN
10_1101-2021_01_05_425266	287	13	MI	MI	NNP
10_1101-2021_01_05_425266	287	14	can	can	MD
10_1101-2021_01_05_425266	287	15	be	be	VB
10_1101-2021_01_05_425266	287	16	both	both	DT
10_1101-2021_01_05_425266	287	17	diffuse	diffuse	NN
10_1101-2021_01_05_425266	287	18	and	and	CC
10_1101-2021_01_05_425266	287	19	focal	focal	JJ
10_1101-2021_01_05_425266	287	20	.	.	.
10_1101-2021_01_05_425266	288	1	These	these	DT
10_1101-2021_01_05_425266	288	2	abnormalities	abnormality	NNS
10_1101-2021_01_05_425266	288	3	could	could	MD
10_1101-2021_01_05_425266	288	4	be	be	VB
10_1101-2021_01_05_425266	288	5	used	use	VBN
10_1101-2021_01_05_425266	288	6	to	to	TO
10_1101-2021_01_05_425266	288	7	discriminate	discriminate	VB
10_1101-2021_01_05_425266	288	8	dysfunctional	dysfunctional	JJ
10_1101-2021_01_05_425266	288	9	from	from	IN
10_1101-2021_01_05_425266	288	10	functional	functional	JJ
10_1101-2021_01_05_425266	288	11	myocardium	myocardium	NN
10_1101-2021_01_05_425266	288	12	[	[	-LRB-
10_1101-2021_01_05_425266	288	13	54	54	CD
10_1101-2021_01_05_425266	288	14	]	]	-RRB-
10_1101-2021_01_05_425266	288	15	,	,	,
10_1101-2021_01_05_425266	288	16	or	or	CC
10_1101-2021_01_05_425266	288	17	as	as	IN
10_1101-2021_01_05_425266	288	18	inputs	input	NNS
10_1101-2021_01_05_425266	288	19	for	for	IN
10_1101-2021_01_05_425266	288	20	downstream	downstream	JJ
10_1101-2021_01_05_425266	288	21	classification	classification	NN
10_1101-2021_01_05_425266	288	22	algorithms	algorithm	NNS
10_1101-2021_01_05_425266	288	23	[	[	-LRB-
10_1101-2021_01_05_425266	288	24	55	55	CD
10_1101-2021_01_05_425266	288	25	]	]	-RRB-
10_1101-2021_01_05_425266	288	26	.	.	.
10_1101-2021_01_05_425266	289	1	More	more	RBR
10_1101-2021_01_05_425266	289	2	generally	generally	RB
10_1101-2021_01_05_425266	289	3	,	,	,
10_1101-2021_01_05_425266	289	4	DeepStrain	DeepStrain	NNP
10_1101-2021_01_05_425266	289	5	could	could	MD
10_1101-2021_01_05_425266	289	6	be	be	VB
10_1101-2021_01_05_425266	289	7	used	use	VBN
10_1101-2021_01_05_425266	289	8	to	to	TO
10_1101-2021_01_05_425266	289	9	extract	extract	VB
10_1101-2021_01_05_425266	289	10	interpretable	interpretable	JJ
10_1101-2021_01_05_425266	289	11	features	feature	NNS
10_1101-2021_01_05_425266	289	12	(	(	-LRB-
10_1101-2021_01_05_425266	289	13	e.g.	e.g.	RB
10_1101-2021_01_05_425266	289	14	,	,	,
10_1101-2021_01_05_425266	289	15	strain	strain	NN
10_1101-2021_01_05_425266	289	16	and	and	CC
10_1101-2021_01_05_425266	289	17	SR	SR	NNP
10_1101-2021_01_05_425266	289	18	)	)	-RRB-
10_1101-2021_01_05_425266	289	19	for	for	IN
10_1101-2021_01_05_425266	289	20	DL	DL	NNP
10_1101-2021_01_05_425266	289	21	diagnostic	diagnostic	NNP
10_1101-2021_01_05_425266	289	22	algorithms	algorithm	NNS
10_1101-2021_01_05_425266	289	23	[	[	-LRB-
10_1101-2021_01_05_425266	289	24	56	56	CD
10_1101-2021_01_05_425266	289	25	]	]	-RRB-
10_1101-2021_01_05_425266	289	26	,	,	,
10_1101-2021_01_05_425266	289	27	which	which	WDT
10_1101-2021_01_05_425266	289	28	would	would	MD
10_1101-2021_01_05_425266	289	29	make	make	VB
10_1101-2021_01_05_425266	289	30	understanding	understanding	NN
10_1101-2021_01_05_425266	289	31	of	of	IN
10_1101-2021_01_05_425266	289	32	the	the	DT
10_1101-2021_01_05_425266	289	33	pathophysiological	pathophysiological	JJ
10_1101-2021_01_05_425266	289	34	basis	basis	NN
10_1101-2021_01_05_425266	289	35	of	of	IN
10_1101-2021_01_05_425266	289	36	classification	classification	NN
10_1101-2021_01_05_425266	289	37	more	more	RBR
10_1101-2021_01_05_425266	289	38	attainable	attainable	JJ
10_1101-2021_01_05_425266	289	39	[	[	-LRB-
10_1101-2021_01_05_425266	289	40	57	57	CD
10_1101-2021_01_05_425266	289	41	]	]	-RRB-
10_1101-2021_01_05_425266	289	42	.	.	.
10_1101-2021_01_05_425266	290	1	D.	D.	NNP
10_1101-2021_01_05_425266	290	2	Study	Study	NNP
10_1101-2021_01_05_425266	290	3	Limitations	Limitations	NNP
10_1101-2021_01_05_425266	290	4	A	a	DT
10_1101-2021_01_05_425266	290	5	limitation	limitation	NN
10_1101-2021_01_05_425266	290	6	of	of	IN
10_1101-2021_01_05_425266	290	7	our	-PRON-	PRP$
10_1101-2021_01_05_425266	290	8	study	study	NN
10_1101-2021_01_05_425266	290	9	was	be	VBD
10_1101-2021_01_05_425266	290	10	the	the	DT
10_1101-2021_01_05_425266	290	11	absence	absence	NN
10_1101-2021_01_05_425266	290	12	of	of	IN
10_1101-2021_01_05_425266	290	13	important	important	JJ
10_1101-2021_01_05_425266	290	14	patient	patient	NN
10_1101-2021_01_05_425266	290	15	information	information	NN
10_1101-2021_01_05_425266	290	16	(	(	-LRB-
10_1101-2021_01_05_425266	290	17	e.g.	e.g.	RB
10_1101-2021_01_05_425266	290	18	,	,	,
10_1101-2021_01_05_425266	290	19	age	age	NN
10_1101-2021_01_05_425266	290	20	)	)	-RRB-
10_1101-2021_01_05_425266	290	21	,	,	,
10_1101-2021_01_05_425266	290	22	which	which	WDT
10_1101-2021_01_05_425266	290	23	would	would	MD
10_1101-2021_01_05_425266	290	24	be	be	VB
10_1101-2021_01_05_425266	290	25	needed	need	VBN
10_1101-2021_01_05_425266	290	26	for	for	IN
10_1101-2021_01_05_425266	290	27	a	a	DT
10_1101-2021_01_05_425266	290	28	more	more	RBR
10_1101-2021_01_05_425266	290	29	complete	complete	JJ
10_1101-2021_01_05_425266	290	30	interpretation	interpretation	NN
10_1101-2021_01_05_425266	290	31	of	of	IN
10_1101-2021_01_05_425266	290	32	our	-PRON-	PRP$
10_1101-2021_01_05_425266	290	33	strain	strain	NN
10_1101-2021_01_05_425266	290	34	analysis	analysis	NN
10_1101-2021_01_05_425266	290	35	results	result	NNS
10_1101-2021_01_05_425266	290	36	,	,	,
10_1101-2021_01_05_425266	290	37	for	for	IN
10_1101-2021_01_05_425266	290	38	example	example	NN
10_1101-2021_01_05_425266	290	39	to	to	TO
10_1101-2021_01_05_425266	290	40	assess	assess	VB
10_1101-2021_01_05_425266	290	41	the	the	DT
10_1101-2021_01_05_425266	290	42	differences	difference	NNS
10_1101-2021_01_05_425266	290	43	in	in	IN
10_1101-2021_01_05_425266	290	44	strain	strain	JJ
10_1101-2021_01_05_425266	290	45	values	value	NNS
10_1101-2021_01_05_425266	290	46	found	find	VBN
10_1101-2021_01_05_425266	290	47	between	between	IN
10_1101-2021_01_05_425266	290	48	the	the	DT
10_1101-2021_01_05_425266	290	49	healthy	healthy	JJ
10_1101-2021_01_05_425266	290	50	subjects	subject	NNS
10_1101-2021_01_05_425266	290	51	from	from	IN
10_1101-2021_01_05_425266	290	52	the	the	DT
10_1101-2021_01_05_425266	290	53	ACDC	ACDC	NNP
10_1101-2021_01_05_425266	290	54	and	and	CC
10_1101-2021_01_05_425266	290	55	CMAC	CMAC	NNP
10_1101-2021_01_05_425266	290	56	datasets	dataset	NNS
10_1101-2021_01_05_425266	290	57	.	.	.
10_1101-2021_01_05_425266	291	1	However	however	RB
10_1101-2021_01_05_425266	291	2	,	,	,
10_1101-2021_01_05_425266	291	3	using	use	VBG
10_1101-2021_01_05_425266	291	4	publicly	publicly	RB
10_1101-2021_01_05_425266	291	5	available	available	JJ
10_1101-2021_01_05_425266	291	6	data	data	NN
10_1101-2021_01_05_425266	291	7	enables	enable	VBZ
10_1101-2021_01_05_425266	291	8	the	the	DT
10_1101-2021_01_05_425266	291	9	scientific	scientific	JJ
10_1101-2021_01_05_425266	291	10	community	community	NN
10_1101-2021_01_05_425266	291	11	to	to	TO
10_1101-2021_01_05_425266	291	12	more	more	RBR
10_1101-2021_01_05_425266	291	13	easily	easily	RB
10_1101-2021_01_05_425266	291	14	reproduce	reproduce	VB
10_1101-2021_01_05_425266	291	15	our	-PRON-	PRP$
10_1101-2021_01_05_425266	291	16	findings	finding	NNS
10_1101-2021_01_05_425266	291	17	,	,	,
10_1101-2021_01_05_425266	291	18	and	and	CC
10_1101-2021_01_05_425266	291	19	compare	compare	VB
10_1101-2021_01_05_425266	291	20	our	-PRON-	PRP$
10_1101-2021_01_05_425266	291	21	results	result	NNS
10_1101-2021_01_05_425266	291	22	to	to	IN
10_1101-2021_01_05_425266	291	23	other	other	JJ
10_1101-2021_01_05_425266	291	24	techniques	technique	NNS
10_1101-2021_01_05_425266	291	25	.	.	.
10_1101-2021_01_05_425266	292	1	Another	another	DT
10_1101-2021_01_05_425266	292	2	limitation	limitation	NN
10_1101-2021_01_05_425266	292	3	was	be	VBD
10_1101-2021_01_05_425266	292	4	the	the	DT
10_1101-2021_01_05_425266	292	5	absence	absence	NN
10_1101-2021_01_05_425266	292	6	of	of	IN
10_1101-2021_01_05_425266	292	7	longitudinal	longitudinal	JJ
10_1101-2021_01_05_425266	292	8	analyses	analysis	NNS
10_1101-2021_01_05_425266	292	9	,	,	,
10_1101-2021_01_05_425266	292	10	i.e.	i.e.	FW
10_1101-2021_01_05_425266	292	11	,	,	,
10_1101-2021_01_05_425266	292	12	longitudinal	longitudinal	JJ
10_1101-2021_01_05_425266	292	13	strain	strain	NN
10_1101-2021_01_05_425266	292	14	was	be	VBD
10_1101-2021_01_05_425266	292	15	not	not	RB
10_1101-2021_01_05_425266	292	16	reported	report	VBN
10_1101-2021_01_05_425266	292	17	because	because	IN
10_1101-2021_01_05_425266	292	18	it	-PRON-	PRP
10_1101-2021_01_05_425266	292	19	is	be	VBZ
10_1101-2021_01_05_425266	292	20	normally	normally	RB
10_1101-2021_01_05_425266	292	21	derived	derive	VBN
10_1101-2021_01_05_425266	292	22	from	from	IN
10_1101-2021_01_05_425266	292	23	long	long	RB
10_1101-2021_01_05_425266	292	24	-	-	HYPH
10_1101-2021_01_05_425266	292	25	axis	axis	RB
10_1101-2021_01_05_425266	292	26	cine-	cine-	JJ
10_1101-2021_01_05_425266	292	27	MRI	MRI	NNP
10_1101-2021_01_05_425266	292	28	data	datum	NNS
10_1101-2021_01_05_425266	292	29	not	not	RB
10_1101-2021_01_05_425266	292	30	available	available	JJ
10_1101-2021_01_05_425266	292	31	in	in	IN
10_1101-2021_01_05_425266	292	32	the	the	DT
10_1101-2021_01_05_425266	292	33	training	training	NN
10_1101-2021_01_05_425266	292	34	dataset	dataset	NN
10_1101-2021_01_05_425266	292	35	.	.	.
10_1101-2021_01_05_425266	293	1	The	the	DT
10_1101-2021_01_05_425266	293	2	size	size	NN
10_1101-2021_01_05_425266	293	3	of	of	IN
10_1101-2021_01_05_425266	293	4	the	the	DT
10_1101-2021_01_05_425266	293	5	datasets	dataset	NNS
10_1101-2021_01_05_425266	293	6	is	be	VBZ
10_1101-2021_01_05_425266	293	7	another	another	DT
10_1101-2021_01_05_425266	293	8	potential	potential	JJ
10_1101-2021_01_05_425266	293	9	limitation	limitation	NN
10_1101-2021_01_05_425266	293	10	.	.	.
10_1101-2021_01_05_425266	294	1	The	the	DT
10_1101-2021_01_05_425266	294	2	number	number	NN
10_1101-2021_01_05_425266	294	3	of	of	IN
10_1101-2021_01_05_425266	294	4	patients	patient	NNS
10_1101-2021_01_05_425266	294	5	used	use	VBN
10_1101-2021_01_05_425266	294	6	for	for	IN
10_1101-2021_01_05_425266	294	7	training	training	NN
10_1101-2021_01_05_425266	294	8	is	be	VBZ
10_1101-2021_01_05_425266	294	9	much	much	RB
10_1101-2021_01_05_425266	294	10	smaller	small	JJR
10_1101-2021_01_05_425266	294	11	than	than	IN
10_1101-2021_01_05_425266	294	12	the	the	DT
10_1101-2021_01_05_425266	294	13	number	number	NN
10_1101-2021_01_05_425266	294	14	of	of	IN
10_1101-2021_01_05_425266	294	15	trainable	trainable	JJ
10_1101-2021_01_05_425266	294	16	parameters	parameter	NNS
10_1101-2021_01_05_425266	294	17	,	,	,
10_1101-2021_01_05_425266	294	18	potentially	potentially	RB
10_1101-2021_01_05_425266	294	19	resulting	result	VBG
10_1101-2021_01_05_425266	294	20	in	in	IN
10_1101-2021_01_05_425266	294	21	some	some	DT
10_1101-2021_01_05_425266	294	22	degree	degree	NN
10_1101-2021_01_05_425266	294	23	of	of	IN
10_1101-2021_01_05_425266	294	24	overfitting	overfitting	NN
10_1101-2021_01_05_425266	294	25	.	.	.
10_1101-2021_01_05_425266	295	1	To	to	TO
10_1101-2021_01_05_425266	295	2	correct	correct	VB
10_1101-2021_01_05_425266	295	3	this	this	DT
10_1101-2021_01_05_425266	295	4	,	,	,
10_1101-2021_01_05_425266	295	5	the	the	DT
10_1101-2021_01_05_425266	295	6	training	training	NN
10_1101-2021_01_05_425266	295	7	set	set	VBN
10_1101-2021_01_05_425266	295	8	for	for	IN
10_1101-2021_01_05_425266	295	9	motion	motion	NN
10_1101-2021_01_05_425266	295	10	estimation	estimation	NN
10_1101-2021_01_05_425266	295	11	could	could	MD
10_1101-2021_01_05_425266	295	12	be	be	VB
10_1101-2021_01_05_425266	295	13	expanded	expand	VBN
10_1101-2021_01_05_425266	295	14	by	by	IN
10_1101-2021_01_05_425266	295	15	validating	validate	VBG
10_1101-2021_01_05_425266	295	16	the	the	DT
10_1101-2021_01_05_425266	295	17	proposed	propose	VBN
10_1101-2021_01_05_425266	295	18	segmentation	segmentation	NN
10_1101-2021_01_05_425266	295	19	network	network	NN
10_1101-2021_01_05_425266	295	20	on	on	IN
10_1101-2021_01_05_425266	295	21	more	more	JJR
10_1101-2021_01_05_425266	295	22	heterogeneous	heterogeneous	JJ
10_1101-2021_01_05_425266	295	23	populations	population	NNS
10_1101-2021_01_05_425266	295	24	.	.	.
10_1101-2021_01_05_425266	296	1	Also	also	RB
10_1101-2021_01_05_425266	296	2	,	,	,
10_1101-2021_01_05_425266	296	3	while	while	IN
10_1101-2021_01_05_425266	296	4	our	-PRON-	PRP$
10_1101-2021_01_05_425266	296	5	repeatability	repeatability	NN
10_1101-2021_01_05_425266	296	6	results	result	NNS
10_1101-2021_01_05_425266	296	7	were	be	VBD
10_1101-2021_01_05_425266	296	8	promising	promise	VBG
10_1101-2021_01_05_425266	296	9	despite	despite	IN
10_1101-2021_01_05_425266	296	10	testing	testing	NN
10_1101-2021_01_05_425266	296	11	in	in	IN
10_1101-2021_01_05_425266	296	12	only	only	RB
10_1101-2021_01_05_425266	296	13	a	a	DT
10_1101-2021_01_05_425266	296	14	small	small	JJ
10_1101-2021_01_05_425266	296	15	number	number	NN
10_1101-2021_01_05_425266	296	16	of	of	IN
10_1101-2021_01_05_425266	296	17	subjects	subject	NNS
10_1101-2021_01_05_425266	296	18	,	,	,
10_1101-2021_01_05_425266	296	19	repeatability	repeatability	NN
10_1101-2021_01_05_425266	296	20	in	in	IN
10_1101-2021_01_05_425266	296	21	patient	patient	NN
10_1101-2021_01_05_425266	296	22	populations	population	NNS
10_1101-2021_01_05_425266	296	23	was	be	VBD
10_1101-2021_01_05_425266	296	24	not	not	RB
10_1101-2021_01_05_425266	296	25	shown	show	VBN
10_1101-2021_01_05_425266	296	26	.	.	.
10_1101-2021_01_05_425266	297	1	E.	E.	NNP
10_1101-2021_01_05_425266	297	2	Conclusion	Conclusion	NNP
10_1101-2021_01_05_425266	297	3	We	-PRON-	PRP
10_1101-2021_01_05_425266	297	4	developed	develop	VBD
10_1101-2021_01_05_425266	297	5	an	an	DT
10_1101-2021_01_05_425266	297	6	end	end	NN
10_1101-2021_01_05_425266	297	7	-	-	HYPH
10_1101-2021_01_05_425266	297	8	to	to	IN
10_1101-2021_01_05_425266	297	9	-	-	HYPH
10_1101-2021_01_05_425266	297	10	end	end	NN
10_1101-2021_01_05_425266	297	11	learning	learning	NN
10_1101-2021_01_05_425266	297	12	-	-	HYPH
10_1101-2021_01_05_425266	297	13	based	base	VBN
10_1101-2021_01_05_425266	297	14	workflow	workflow	NN
10_1101-2021_01_05_425266	297	15	for	for	IN
10_1101-2021_01_05_425266	297	16	strain	strain	NN
10_1101-2021_01_05_425266	297	17	analysis	analysis	NN
10_1101-2021_01_05_425266	297	18	that	that	WDT
10_1101-2021_01_05_425266	297	19	is	be	VBZ
10_1101-2021_01_05_425266	297	20	fast	fast	JJ
10_1101-2021_01_05_425266	297	21	,	,	,
10_1101-2021_01_05_425266	297	22	operator	operator	NN
10_1101-2021_01_05_425266	297	23	-	-	HYPH
10_1101-2021_01_05_425266	297	24	independent	independent	JJ
10_1101-2021_01_05_425266	297	25	,	,	,
10_1101-2021_01_05_425266	297	26	and	and	CC
10_1101-2021_01_05_425266	297	27	leverages	leverage	VBZ
10_1101-2021_01_05_425266	297	28	real	real	JJ
10_1101-2021_01_05_425266	297	29	-	-	HYPH
10_1101-2021_01_05_425266	297	30	world	world	NN
10_1101-2021_01_05_425266	297	31	data	datum	NNS
10_1101-2021_01_05_425266	297	32	instead	instead	RB
10_1101-2021_01_05_425266	297	33	of	of	IN
10_1101-2021_01_05_425266	297	34	making	make	VBG
10_1101-2021_01_05_425266	297	35	explicit	explicit	JJ
10_1101-2021_01_05_425266	297	36	assumptions	assumption	NNS
10_1101-2021_01_05_425266	297	37	about	about	IN
10_1101-2021_01_05_425266	297	38	myocardial	myocardial	JJ
10_1101-2021_01_05_425266	297	39	tissue	tissue	NN
10_1101-2021_01_05_425266	297	40	properties	property	NNS
10_1101-2021_01_05_425266	297	41	or	or	CC
10_1101-2021_01_05_425266	297	42	geometry	geometry	NN
10_1101-2021_01_05_425266	297	43	.	.	.
10_1101-2021_01_05_425266	298	1	This	this	DT
10_1101-2021_01_05_425266	298	2	approach	approach	NN
10_1101-2021_01_05_425266	298	3	enabled	enable	VBD
10_1101-2021_01_05_425266	298	4	us	-PRON-	PRP
10_1101-2021_01_05_425266	298	5	to	to	TO
10_1101-2021_01_05_425266	298	6	derive	derive	VB
10_1101-2021_01_05_425266	298	7	strain	strain	JJ
10_1101-2021_01_05_425266	298	8	measures	measure	NNS
10_1101-2021_01_05_425266	298	9	from	from	IN
10_1101-2021_01_05_425266	298	10	new	new	JJ
10_1101-2021_01_05_425266	298	11	data	datum	NNS
10_1101-2021_01_05_425266	298	12	without	without	IN
10_1101-2021_01_05_425266	298	13	further	further	JJ
10_1101-2021_01_05_425266	298	14	training	training	NN
10_1101-2021_01_05_425266	298	15	or	or	CC
10_1101-2021_01_05_425266	298	16	parameter	parameter	NN
10_1101-2021_01_05_425266	298	17	finetuning	finetuning	NN
10_1101-2021_01_05_425266	298	18	,	,	,
10_1101-2021_01_05_425266	298	19	and	and	CC
10_1101-2021_01_05_425266	298	20	our	-PRON-	PRP$
10_1101-2021_01_05_425266	298	21	measures	measure	NNS
10_1101-2021_01_05_425266	298	22	were	be	VBD
10_1101-2021_01_05_425266	298	23	robust	robust	JJ
10_1101-2021_01_05_425266	298	24	to	to	IN
10_1101-2021_01_05_425266	298	25	image	image	NN
10_1101-2021_01_05_425266	298	26	artifacts	artifact	NNS
10_1101-2021_01_05_425266	298	27	,	,	,
10_1101-2021_01_05_425266	298	28	repeatable	repeatable	JJ
10_1101-2021_01_05_425266	298	29	,	,	,
10_1101-2021_01_05_425266	298	30	and	and	CC
10_1101-2021_01_05_425266	298	31	comparable	comparable	JJ
10_1101-2021_01_05_425266	298	32	to	to	IN
10_1101-2021_01_05_425266	298	33	those	those	DT
10_1101-2021_01_05_425266	298	34	derive	derive	JJ
10_1101-2021_01_05_425266	298	35	from	from	IN
10_1101-2021_01_05_425266	298	36	dedicated	dedicated	JJ
10_1101-2021_01_05_425266	298	37	tagging	tagging	NN
10_1101-2021_01_05_425266	298	38	data	datum	NNS
10_1101-2021_01_05_425266	298	39	.	.	.
10_1101-2021_01_05_425266	299	1	These	these	DT
10_1101-2021_01_05_425266	299	2	technical	technical	JJ
10_1101-2021_01_05_425266	299	3	and	and	CC
10_1101-2021_01_05_425266	299	4	practical	practical	JJ
10_1101-2021_01_05_425266	299	5	attributes	attribute	NNS
10_1101-2021_01_05_425266	299	6	position	position	VBP
10_1101-2021_01_05_425266	299	7	DeepStrain	DeepStrain	NNP
10_1101-2021_01_05_425266	299	8	as	as	IN
10_1101-2021_01_05_425266	299	9	an	an	DT
10_1101-2021_01_05_425266	299	10	excellent	excellent	JJ
10_1101-2021_01_05_425266	299	11	candidate	candidate	NN
10_1101-2021_01_05_425266	299	12	for	for	IN
10_1101-2021_01_05_425266	299	13	use	use	NN
10_1101-2021_01_05_425266	299	14	in	in	IN
10_1101-2021_01_05_425266	299	15	routine	routine	JJ
10_1101-2021_01_05_425266	299	16	clinical	clinical	JJ
10_1101-2021_01_05_425266	299	17	studies	study	NNS
10_1101-2021_01_05_425266	299	18	or	or	CC
10_1101-2021_01_05_425266	299	19	data	datum	NNS
10_1101-2021_01_05_425266	299	20	-	-	HYPH
10_1101-2021_01_05_425266	299	21	driven	drive	VBN
10_1101-2021_01_05_425266	299	22	research	research	NN
10_1101-2021_01_05_425266	299	23	.	.	.
10_1101-2021_01_05_425266	300	1	ACKNOWLEDGMENT	acknowledgment	DT
10_1101-2021_01_05_425266	300	2	We	-PRON-	PRP
10_1101-2021_01_05_425266	300	3	acknowledge	acknowledge	VBP
10_1101-2021_01_05_425266	300	4	the	the	DT
10_1101-2021_01_05_425266	300	5	support	support	NN
10_1101-2021_01_05_425266	300	6	of	of	IN
10_1101-2021_01_05_425266	300	7	NVIDIA	NVIDIA	NNP
10_1101-2021_01_05_425266	300	8	Corporation	Corporation	NNP
10_1101-2021_01_05_425266	300	9	with	with	IN
10_1101-2021_01_05_425266	300	10	the	the	DT
10_1101-2021_01_05_425266	300	11	donation	donation	NN
10_1101-2021_01_05_425266	300	12	of	of	IN
10_1101-2021_01_05_425266	300	13	the	the	DT
10_1101-2021_01_05_425266	300	14	Titan	Titan	NNP
10_1101-2021_01_05_425266	300	15	X	X	NNP
10_1101-2021_01_05_425266	300	16	Pascal	Pascal	NNP
10_1101-2021_01_05_425266	300	17	GPU	GPU	NNP
10_1101-2021_01_05_425266	300	18	used	use	VBD
10_1101-2021_01_05_425266	300	19	for	for	IN
10_1101-2021_01_05_425266	300	20	this	this	DT
10_1101-2021_01_05_425266	300	21	research	research	NN
10_1101-2021_01_05_425266	300	22	.	.	.
10_1101-2021_01_05_425266	301	1	We	-PRON-	PRP
10_1101-2021_01_05_425266	301	2	also	also	RB
10_1101-2021_01_05_425266	301	3	thank	thank	VBP
10_1101-2021_01_05_425266	301	4	P.	P.	NNP
10_1101-2021_01_05_425266	301	5	Jodoin	Jodoin	NNP
10_1101-2021_01_05_425266	301	6	(	(	-LRB-
10_1101-2021_01_05_425266	301	7	ACDC	ACDC	NNP
10_1101-2021_01_05_425266	301	8	)	)	-RRB-
10_1101-2021_01_05_425266	301	9	and	and	CC
10_1101-2021_01_05_425266	301	10	C.	C.	NNP
10_1101-2021_01_05_425266	301	11	Tobon	Tobon	NNP
10_1101-2021_01_05_425266	301	12	-	-	HYPH
10_1101-2021_01_05_425266	301	13	Gomez	Gomez	NNP
10_1101-2021_01_05_425266	301	14	(	(	-LRB-
10_1101-2021_01_05_425266	301	15	CMAC	CMAC	NNP
10_1101-2021_01_05_425266	301	16	)	)	-RRB-
10_1101-2021_01_05_425266	301	17	for	for	IN
10_1101-2021_01_05_425266	301	18	their	-PRON-	PRP$
10_1101-2021_01_05_425266	301	19	assistance	assistance	NN
10_1101-2021_01_05_425266	301	20	with	with	IN
10_1101-2021_01_05_425266	301	21	the	the	DT
10_1101-2021_01_05_425266	301	22	challenge	challenge	NN
10_1101-2021_01_05_425266	301	23	datasets	dataset	NNS
10_1101-2021_01_05_425266	301	24	.	.	.
10_1101-2021_01_05_425266	302	1	REFERENCES	reference	NNS
10_1101-2021_01_05_425266	302	2	[	[	-LRB-
10_1101-2021_01_05_425266	302	3	1	1	CD
10_1101-2021_01_05_425266	302	4	]	]	-RRB-
10_1101-2021_01_05_425266	302	5	M.	M.	NNP
10_1101-2021_01_05_425266	302	6	A.	A.	NNP
10_1101-2021_01_05_425266	302	7	Konstam	Konstam	NNP
10_1101-2021_01_05_425266	302	8	and	and	CC
10_1101-2021_01_05_425266	302	9	F.	F.	NNP
10_1101-2021_01_05_425266	302	10	M.	M.	NNP
10_1101-2021_01_05_425266	302	11	Abboud	Abboud	NNP
10_1101-2021_01_05_425266	302	12	,	,	,
10_1101-2021_01_05_425266	302	13	“	"	``
10_1101-2021_01_05_425266	302	14	Ejection	Ejection	NNP
10_1101-2021_01_05_425266	302	15	Fraction	Fraction	NNP
10_1101-2021_01_05_425266	302	16	:	:	:
10_1101-2021_01_05_425266	302	17	Misunderstood	Misunderstood	NNP
10_1101-2021_01_05_425266	302	18	and	and	CC
10_1101-2021_01_05_425266	302	19	Over	Over	NNP
10_1101-2021_01_05_425266	302	20	-	-	HYPH
10_1101-2021_01_05_425266	302	21	rated	rate	VBN
10_1101-2021_01_05_425266	302	22	(	(	-LRB-
10_1101-2021_01_05_425266	302	23	Changing	change	VBG
10_1101-2021_01_05_425266	302	24	the	the	DT
10_1101-2021_01_05_425266	302	25	Paradigm	Paradigm	NNP
10_1101-2021_01_05_425266	302	26	in	in	IN
10_1101-2021_01_05_425266	302	27	Categorizing	Categorizing	NNP
10_1101-2021_01_05_425266	302	28	Heart	Heart	NNP
10_1101-2021_01_05_425266	302	29	Failure	Failure	NNP
10_1101-2021_01_05_425266	302	30	)	)	-RRB-
10_1101-2021_01_05_425266	302	31	,	,	,
10_1101-2021_01_05_425266	302	32	”	"	''
10_1101-2021_01_05_425266	302	33	Circulation	Circulation	NNP
10_1101-2021_01_05_425266	302	34	,	,	,
10_1101-2021_01_05_425266	302	35	vol	vol	NNP
10_1101-2021_01_05_425266	302	36	.	.	.
10_1101-2021_01_05_425266	303	1	135	135	CD
10_1101-2021_01_05_425266	303	2	,	,	,
10_1101-2021_01_05_425266	303	3	no	no	UH
10_1101-2021_01_05_425266	303	4	.	.	.
10_1101-2021_01_05_425266	304	1	8	8	CD
10_1101-2021_01_05_425266	304	2	,	,	,
10_1101-2021_01_05_425266	304	3	pp	pp	NNP
10_1101-2021_01_05_425266	304	4	.	.	.
10_1101-2021_01_05_425266	305	1	717–719	717–719	CD
10_1101-2021_01_05_425266	305	2	,	,	,
10_1101-2021_01_05_425266	305	3	Feb.	February	NNP
10_1101-2021_01_05_425266	305	4	2017	2017	CD
10_1101-2021_01_05_425266	305	5	.	.	.
10_1101-2021_01_05_425266	306	1	[	[	-LRB-
10_1101-2021_01_05_425266	306	2	2	2	LS
10_1101-2021_01_05_425266	306	3	]	]	-RRB-
10_1101-2021_01_05_425266	306	4	P.	P.	NNP
10_1101-2021_01_05_425266	306	5	Claus	Claus	NNP
10_1101-2021_01_05_425266	306	6	,	,	,
10_1101-2021_01_05_425266	306	7	A.	a.	NN
10_1101-2021_01_05_425266	306	8	M.	M.	NNP
10_1101-2021_01_05_425266	306	9	S.	S.	NNP
10_1101-2021_01_05_425266	306	10	Omar	Omar	NNP
10_1101-2021_01_05_425266	306	11	,	,	,
10_1101-2021_01_05_425266	306	12	G.	G.	NNP
10_1101-2021_01_05_425266	306	13	Pedrizzetti	Pedrizzetti	NNP
10_1101-2021_01_05_425266	306	14	,	,	,
10_1101-2021_01_05_425266	306	15	P.	P.	NNP
10_1101-2021_01_05_425266	306	16	P.	P.	NNP
10_1101-2021_01_05_425266	306	17	Sengupta	Sengupta	NNP
10_1101-2021_01_05_425266	306	18	,	,	,
10_1101-2021_01_05_425266	306	19	and	and	CC
10_1101-2021_01_05_425266	306	20	E.	E.	NNP
10_1101-2021_01_05_425266	306	21	Nagel	Nagel	NNP
10_1101-2021_01_05_425266	306	22	,	,	,
10_1101-2021_01_05_425266	306	23	“	"	``
10_1101-2021_01_05_425266	306	24	Tissue	Tissue	NNP
10_1101-2021_01_05_425266	306	25	Tracking	Tracking	NNP
10_1101-2021_01_05_425266	306	26	Technology	Technology	NNP
10_1101-2021_01_05_425266	306	27	for	for	IN
10_1101-2021_01_05_425266	306	28	Assessing	assess	VBG
10_1101-2021_01_05_425266	306	29	Cardiac	Cardiac	NNP
10_1101-2021_01_05_425266	306	30	Mechanics	Mechanics	NNP
10_1101-2021_01_05_425266	306	31	,	,	,
10_1101-2021_01_05_425266	306	32	”	"	''
10_1101-2021_01_05_425266	306	33	JACC	JACC	NNP
10_1101-2021_01_05_425266	306	34	:	:	:
10_1101-2021_01_05_425266	306	35	Cardiovascular	Cardiovascular	NNP
10_1101-2021_01_05_425266	306	36	Imaging	Imaging	NNP
10_1101-2021_01_05_425266	306	37	,	,	,
10_1101-2021_01_05_425266	306	38	vol	vol	NNP
10_1101-2021_01_05_425266	306	39	.	.	.
10_1101-2021_01_05_425266	307	1	8	8	CD
10_1101-2021_01_05_425266	307	2	,	,	,
10_1101-2021_01_05_425266	307	3	no	no	UH
10_1101-2021_01_05_425266	307	4	.	.	.
10_1101-2021_01_05_425266	308	1	12	12	CD
10_1101-2021_01_05_425266	308	2	,	,	,
10_1101-2021_01_05_425266	308	3	pp	pp	NNP
10_1101-2021_01_05_425266	308	4	.	.	.
10_1101-2021_01_05_425266	309	1	1444–1460	1444–1460	CD
10_1101-2021_01_05_425266	309	2	,	,	,
10_1101-2021_01_05_425266	309	3	Dec.	December	NNP
10_1101-2021_01_05_425266	309	4	2015	2015	CD
10_1101-2021_01_05_425266	309	5	.	.	.
10_1101-2021_01_05_425266	310	1	[	[	-LRB-
10_1101-2021_01_05_425266	310	2	3	3	CD
10_1101-2021_01_05_425266	310	3	]	]	-RRB-
10_1101-2021_01_05_425266	310	4	O.	O.	NNP
10_1101-2021_01_05_425266	311	1	A.	A.	NNP
10_1101-2021_01_05_425266	311	2	Smiseth	Smiseth	NNP
10_1101-2021_01_05_425266	311	3	,	,	,
10_1101-2021_01_05_425266	311	4	H.	H.	NNP
10_1101-2021_01_05_425266	311	5	Torp	Torp	NNP
10_1101-2021_01_05_425266	311	6	,	,	,
10_1101-2021_01_05_425266	311	7	A.	A.	NNP
10_1101-2021_01_05_425266	311	8	Opdahl	Opdahl	NNP
10_1101-2021_01_05_425266	311	9	,	,	,
10_1101-2021_01_05_425266	311	10	K.	K.	NNP
10_1101-2021_01_05_425266	311	11	H.	H.	NNP
10_1101-2021_01_05_425266	311	12	Haugaa	Haugaa	NNP
10_1101-2021_01_05_425266	311	13	,	,	,
10_1101-2021_01_05_425266	311	14	and	and	CC
10_1101-2021_01_05_425266	311	15	S.	S.	NNP
10_1101-2021_01_05_425266	311	16	Urheim	Urheim	NNP
10_1101-2021_01_05_425266	311	17	,	,	,
10_1101-2021_01_05_425266	311	18	“	"	``
10_1101-2021_01_05_425266	311	19	Myocardial	myocardial	JJ
10_1101-2021_01_05_425266	311	20	strain	strain	NN
10_1101-2021_01_05_425266	311	21	imaging	imaging	NN
10_1101-2021_01_05_425266	311	22	:	:	:
10_1101-2021_01_05_425266	311	23	how	how	WRB
10_1101-2021_01_05_425266	311	24	useful	useful	JJ
10_1101-2021_01_05_425266	311	25	is	be	VBZ
10_1101-2021_01_05_425266	311	26	it	-PRON-	PRP
10_1101-2021_01_05_425266	311	27	in	in	IN
10_1101-2021_01_05_425266	311	28	clinical	clinical	JJ
10_1101-2021_01_05_425266	311	29	decision	decision	NN
10_1101-2021_01_05_425266	311	30	making	make	VBG
10_1101-2021_01_05_425266	311	31	?	?	.
10_1101-2021_01_05_425266	311	32	,	,	,
10_1101-2021_01_05_425266	311	33	”	"	''
10_1101-2021_01_05_425266	311	34	Eur	Eur	NNP
10_1101-2021_01_05_425266	311	35	Heart	Heart	NNP
10_1101-2021_01_05_425266	311	36	J	J	NNP
10_1101-2021_01_05_425266	311	37	,	,	,
10_1101-2021_01_05_425266	311	38	vol	vol	NNP
10_1101-2021_01_05_425266	311	39	.	.	.
10_1101-2021_01_05_425266	312	1	37	37	CD
10_1101-2021_01_05_425266	312	2	,	,	,
10_1101-2021_01_05_425266	312	3	no	no	UH
10_1101-2021_01_05_425266	312	4	.	.	.
10_1101-2021_01_05_425266	313	1	15	15	CD
10_1101-2021_01_05_425266	313	2	,	,	,
10_1101-2021_01_05_425266	313	3	pp	pp	NNP
10_1101-2021_01_05_425266	313	4	.	.	.
10_1101-2021_01_05_425266	314	1	1196–1207	1196–1207	CD
10_1101-2021_01_05_425266	314	2	,	,	,
10_1101-2021_01_05_425266	314	3	Apr.	April	NNP
10_1101-2021_01_05_425266	315	1	2016	2016	CD
10_1101-2021_01_05_425266	315	2	.	.	.
10_1101-2021_01_05_425266	316	1	[	[	-LRB-
10_1101-2021_01_05_425266	316	2	4	4	CD
10_1101-2021_01_05_425266	316	3	]	]	-RRB-
10_1101-2021_01_05_425266	316	4	M.	M.	NNP
10_1101-2021_01_05_425266	316	5	S.	S.	NNP
10_1101-2021_01_05_425266	316	6	Amzulescu	Amzulescu	NNP
10_1101-2021_01_05_425266	316	7	,	,	,
10_1101-2021_01_05_425266	316	8	M.	M.	NNP
10_1101-2021_01_05_425266	316	9	De	De	NNP
10_1101-2021_01_05_425266	316	10	Craene	Craene	NNP
10_1101-2021_01_05_425266	316	11	,	,	,
10_1101-2021_01_05_425266	316	12	H.	H.	NNP
10_1101-2021_01_05_425266	316	13	Langet	Langet	NNP
10_1101-2021_01_05_425266	316	14	,	,	,
10_1101-2021_01_05_425266	316	15	A.	A.	NNP
10_1101-2021_01_05_425266	316	16	Pasquet	Pasquet	NNP
10_1101-2021_01_05_425266	316	17	,	,	,
10_1101-2021_01_05_425266	316	18	D.	D.	NNP
10_1101-2021_01_05_425266	316	19	Vancraeynest	Vancraeynest	NNP
10_1101-2021_01_05_425266	316	20	,	,	,
10_1101-2021_01_05_425266	316	21	A.	a.	NN
10_1101-2021_01_05_425266	316	22	C.	C.	NNP
10_1101-2021_01_05_425266	316	23	Pouleur	Pouleur	NNP
10_1101-2021_01_05_425266	316	24	,	,	,
10_1101-2021_01_05_425266	316	25	J.	J.	NNP
10_1101-2021_01_05_425266	316	26	L.	L.	NNP
10_1101-2021_01_05_425266	316	27	Vanoverschelde	Vanoverschelde	NNP
10_1101-2021_01_05_425266	316	28	,	,	,
10_1101-2021_01_05_425266	316	29	and	and	CC
10_1101-2021_01_05_425266	316	30	B.	B.	NNP
10_1101-2021_01_05_425266	316	31	L.	L.	NNP
10_1101-2021_01_05_425266	316	32	Gerber	Gerber	NNP
10_1101-2021_01_05_425266	316	33	,	,	,
10_1101-2021_01_05_425266	316	34	Fig	Fig	NNP
10_1101-2021_01_05_425266	316	35	.	.	.
10_1101-2021_01_05_425266	317	1	5	5	CD
10_1101-2021_01_05_425266	317	2	Strain	strain	VB
10_1101-2021_01_05_425266	317	3	and	and	CC
10_1101-2021_01_05_425266	317	4	strain	strain	VB
10_1101-2021_01_05_425266	317	5	rate	rate	NN
10_1101-2021_01_05_425266	317	6	measures	measure	NNS
10_1101-2021_01_05_425266	317	7	computed	compute	VBN
10_1101-2021_01_05_425266	317	8	on	on	IN
10_1101-2021_01_05_425266	317	9	the	the	DT
10_1101-2021_01_05_425266	317	10	ACDC	ACDC	NNP
10_1101-2021_01_05_425266	317	11	train	train	NN
10_1101-2021_01_05_425266	317	12	set	set	NN
10_1101-2021_01_05_425266	317	13	.	.	.
10_1101-2021_01_05_425266	318	1	Fig	fig	NN
10_1101-2021_01_05_425266	318	2	.	.	.
10_1101-2021_01_05_425266	319	1	6	6	CD
10_1101-2021_01_05_425266	319	2	.	.	.
10_1101-2021_01_05_425266	320	1	Regional	regional	JJ
10_1101-2021_01_05_425266	320	2	strain	strain	NN
10_1101-2021_01_05_425266	320	3	in	in	IN
10_1101-2021_01_05_425266	320	4	healthy	healthy	JJ
10_1101-2021_01_05_425266	320	5	and	and	CC
10_1101-2021_01_05_425266	320	6	patients	patient	NNS
10_1101-2021_01_05_425266	320	7	with	with	IN
10_1101-2021_01_05_425266	320	8	MI	MI	NNP
10_1101-2021_01_05_425266	320	9	.	.	.
10_1101-2021_01_05_425266	321	1	Myocardial	myocardial	JJ
10_1101-2021_01_05_425266	321	2	infarction	infarction	NN
10_1101-2021_01_05_425266	321	3	can	can	MD
10_1101-2021_01_05_425266	321	4	result	result	VB
10_1101-2021_01_05_425266	321	5	in	in	IN
10_1101-2021_01_05_425266	321	6	diffused	diffused	JJ
10_1101-2021_01_05_425266	321	7	(	(	-LRB-
10_1101-2021_01_05_425266	321	8	center	center	NN
10_1101-2021_01_05_425266	321	9	)	)	-RRB-
10_1101-2021_01_05_425266	321	10	and	and	CC
10_1101-2021_01_05_425266	321	11	focal	focal	JJ
10_1101-2021_01_05_425266	321	12	(	(	-LRB-
10_1101-2021_01_05_425266	321	13	right	right	UH
10_1101-2021_01_05_425266	321	14	)	)	-RRB-
10_1101-2021_01_05_425266	321	15	strain	strain	VB
10_1101-2021_01_05_425266	321	16	reduction	reduction	NN
10_1101-2021_01_05_425266	321	17	.	.	.
10_1101-2021_01_05_425266	322	1	.CC	.CC	NFP
10_1101-2021_01_05_425266	322	2	-	-	:
10_1101-2021_01_05_425266	322	3	BY	by	IN
10_1101-2021_01_05_425266	322	4	-	-	HYPH
10_1101-2021_01_05_425266	322	5	NC	NC	NNP
10_1101-2021_01_05_425266	322	6	-	-	HYPH
10_1101-2021_01_05_425266	322	7	ND	ND	NNP
10_1101-2021_01_05_425266	322	8	4.0	4.0	CD
10_1101-2021_01_05_425266	322	9	International	International	NNP
10_1101-2021_01_05_425266	322	10	licenseavailable	licenseavailable	NN
10_1101-2021_01_05_425266	322	11	under	under	IN
10_1101-2021_01_05_425266	322	12	a	a	DT
10_1101-2021_01_05_425266	322	13	(	(	-LRB-
10_1101-2021_01_05_425266	322	14	which	which	WDT
10_1101-2021_01_05_425266	322	15	was	be	VBD
10_1101-2021_01_05_425266	322	16	not	not	RB
10_1101-2021_01_05_425266	322	17	certified	certify	VBN
10_1101-2021_01_05_425266	322	18	by	by	IN
10_1101-2021_01_05_425266	322	19	peer	peer	NN
10_1101-2021_01_05_425266	322	20	review	review	NN
10_1101-2021_01_05_425266	322	21	)	)	-RRB-
10_1101-2021_01_05_425266	322	22	is	be	VBZ
10_1101-2021_01_05_425266	322	23	the	the	DT
10_1101-2021_01_05_425266	322	24	author	author	NN
10_1101-2021_01_05_425266	322	25	/	/	SYM
10_1101-2021_01_05_425266	322	26	funder	funder	NN
10_1101-2021_01_05_425266	322	27	,	,	,
10_1101-2021_01_05_425266	322	28	who	who	WP
10_1101-2021_01_05_425266	322	29	has	have	VBZ
10_1101-2021_01_05_425266	322	30	granted	grant	VBN
10_1101-2021_01_05_425266	322	31	bioRxiv	biorxiv	IN
10_1101-2021_01_05_425266	322	32	a	a	DT
10_1101-2021_01_05_425266	322	33	license	license	NN
10_1101-2021_01_05_425266	322	34	to	to	TO
10_1101-2021_01_05_425266	322	35	display	display	VB
10_1101-2021_01_05_425266	322	36	the	the	DT
10_1101-2021_01_05_425266	322	37	preprint	preprint	NN
10_1101-2021_01_05_425266	322	38	in	in	IN
10_1101-2021_01_05_425266	322	39	perpetuity	perpetuity	NN
10_1101-2021_01_05_425266	322	40	.	.	.
10_1101-2021_01_05_425266	323	1	It	-PRON-	PRP
10_1101-2021_01_05_425266	323	2	is	be	VBZ
10_1101-2021_01_05_425266	323	3	made	make	VBN
10_1101-2021_01_05_425266	323	4	The	the	DT
10_1101-2021_01_05_425266	323	5	copyright	copyright	NN
10_1101-2021_01_05_425266	323	6	holder	holder	NN
10_1101-2021_01_05_425266	323	7	for	for	IN
10_1101-2021_01_05_425266	323	8	this	this	DT
10_1101-2021_01_05_425266	323	9	preprintthis	preprintthis	NN
10_1101-2021_01_05_425266	323	10	version	version	NN
10_1101-2021_01_05_425266	323	11	posted	post	VBD
10_1101-2021_01_05_425266	323	12	January	January	NNP
10_1101-2021_01_05_425266	323	13	7	7	CD
10_1101-2021_01_05_425266	323	14	,	,	,
10_1101-2021_01_05_425266	323	15	2021	2021	CD
10_1101-2021_01_05_425266	323	16	.	.	.
10_1101-2021_01_05_425266	323	17	;	;	:
10_1101-2021_01_05_425266	323	18	https://doi.org/10.1101/2021.01.05.425266doi	https://doi.org/10.1101/2021.01.05.425266doi	NNP
10_1101-2021_01_05_425266	323	19	:	:	:
10_1101-2021_01_05_425266	323	20	bioRxiv	biorxiv	IN
10_1101-2021_01_05_425266	323	21	preprint	preprint	NN
10_1101-2021_01_05_425266	323	22	https://doi.org/10.1101/2021.01.05.425266	https://doi.org/10.1101/2021.01.05.425266	NN
10_1101-2021_01_05_425266	323	23	http://creativecommons.org/licenses/by-nc-nd/4.0/	http://creativecommons.org/licenses/by-nc-nd/4.0/	JJ
10_1101-2021_01_05_425266	323	24	“	"	``
10_1101-2021_01_05_425266	323	25	Myocardial	myocardial	JJ
10_1101-2021_01_05_425266	323	26	strain	strain	NN
10_1101-2021_01_05_425266	323	27	imaging	imaging	NN
10_1101-2021_01_05_425266	323	28	:	:	:
10_1101-2021_01_05_425266	323	29	review	review	NN
10_1101-2021_01_05_425266	323	30	of	of	IN
10_1101-2021_01_05_425266	323	31	general	general	JJ
10_1101-2021_01_05_425266	323	32	principles	principle	NNS
10_1101-2021_01_05_425266	323	33	,	,	,
10_1101-2021_01_05_425266	323	34	validation	validation	NN
10_1101-2021_01_05_425266	323	35	,	,	,
10_1101-2021_01_05_425266	323	36	and	and	CC
10_1101-2021_01_05_425266	323	37	sources	source	NNS
10_1101-2021_01_05_425266	323	38	of	of	IN
10_1101-2021_01_05_425266	323	39	discrepancies	discrepancy	NNS
10_1101-2021_01_05_425266	323	40	,	,	,
10_1101-2021_01_05_425266	323	41	”	"	''
10_1101-2021_01_05_425266	323	42	European	European	NNP
10_1101-2021_01_05_425266	323	43	Heart	Heart	NNP
10_1101-2021_01_05_425266	323	44	Journal	Journal	NNP
10_1101-2021_01_05_425266	323	45	-	-	HYPH
10_1101-2021_01_05_425266	323	46	Cardiovascular	Cardiovascular	NNP
10_1101-2021_01_05_425266	323	47	Imaging	Imaging	NNP
10_1101-2021_01_05_425266	323	48	,	,	,
10_1101-2021_01_05_425266	323	49	Mar.	March	NNP
10_1101-2021_01_05_425266	324	1	2019	2019	CD
10_1101-2021_01_05_425266	324	2	.	.	.
10_1101-2021_01_05_425266	325	1	[	[	-LRB-
10_1101-2021_01_05_425266	325	2	5	5	CD
10_1101-2021_01_05_425266	325	3	]	]	-RRB-
10_1101-2021_01_05_425266	325	4	N.	N.	NNP
10_1101-2021_01_05_425266	325	5	F.	F.	NNP
10_1101-2021_01_05_425266	325	6	Osman	Osman	NNP
10_1101-2021_01_05_425266	325	7	,	,	,
10_1101-2021_01_05_425266	325	8	S.	S.	NNP
10_1101-2021_01_05_425266	325	9	Sampath	Sampath	NNP
10_1101-2021_01_05_425266	325	10	,	,	,
10_1101-2021_01_05_425266	325	11	E.	E.	NNP
10_1101-2021_01_05_425266	325	12	Atalar	Atalar	NNP
10_1101-2021_01_05_425266	325	13	,	,	,
10_1101-2021_01_05_425266	325	14	and	and	CC
10_1101-2021_01_05_425266	325	15	J.	J.	NNP
10_1101-2021_01_05_425266	325	16	L.	L.	NNP
10_1101-2021_01_05_425266	325	17	Prince	Prince	NNP
10_1101-2021_01_05_425266	325	18	,	,	,
10_1101-2021_01_05_425266	325	19	“	"	``
10_1101-2021_01_05_425266	325	20	Imaging	image	VBG
10_1101-2021_01_05_425266	325	21	longitudinal	longitudinal	JJ
10_1101-2021_01_05_425266	325	22	cardiac	cardiac	JJ
10_1101-2021_01_05_425266	325	23	strain	strain	NN
10_1101-2021_01_05_425266	325	24	on	on	IN
10_1101-2021_01_05_425266	325	25	short	short	JJ
10_1101-2021_01_05_425266	325	26	-	-	HYPH
10_1101-2021_01_05_425266	325	27	axis	axis	NN
10_1101-2021_01_05_425266	325	28	images	image	NNS
10_1101-2021_01_05_425266	325	29	using	use	VBG
10_1101-2021_01_05_425266	325	30	strain	strain	NN
10_1101-2021_01_05_425266	325	31	-	-	HYPH
10_1101-2021_01_05_425266	325	32	encoded	encode	VBN
10_1101-2021_01_05_425266	325	33	MRI	mri	NN
10_1101-2021_01_05_425266	325	34	,	,	,
10_1101-2021_01_05_425266	325	35	”	"	''
10_1101-2021_01_05_425266	325	36	Magn	magn	NN
10_1101-2021_01_05_425266	325	37	.	.	.
10_1101-2021_01_05_425266	326	1	Reson	Reson	NNP
10_1101-2021_01_05_425266	326	2	.	.	.
10_1101-2021_01_05_425266	327	1	Med	Med	NNP
10_1101-2021_01_05_425266	327	2	.	.	NNP
10_1101-2021_01_05_425266	327	3	,	,	,
10_1101-2021_01_05_425266	327	4	vol	vol	NNP
10_1101-2021_01_05_425266	327	5	.	.	.
10_1101-2021_01_05_425266	328	1	46	46	CD
10_1101-2021_01_05_425266	328	2	,	,	,
10_1101-2021_01_05_425266	328	3	no	no	UH
10_1101-2021_01_05_425266	328	4	.	.	.
10_1101-2021_01_05_425266	329	1	2	2	CD
10_1101-2021_01_05_425266	329	2	,	,	,
10_1101-2021_01_05_425266	329	3	pp	pp	NNP
10_1101-2021_01_05_425266	329	4	.	.	.
10_1101-2021_01_05_425266	330	1	324–334	324–334	CD
10_1101-2021_01_05_425266	330	2	,	,	,
10_1101-2021_01_05_425266	330	3	Aug.	August	NNP
10_1101-2021_01_05_425266	330	4	2001	2001	CD
10_1101-2021_01_05_425266	330	5	.	.	.
10_1101-2021_01_05_425266	331	1	[	[	-LRB-
10_1101-2021_01_05_425266	331	2	6	6	CD
10_1101-2021_01_05_425266	331	3	]	]	-RRB-
10_1101-2021_01_05_425266	331	4	D.	D.	NNP
10_1101-2021_01_05_425266	331	5	Kim	Kim	NNP
10_1101-2021_01_05_425266	331	6	,	,	,
10_1101-2021_01_05_425266	331	7	W.	W.	NNP
10_1101-2021_01_05_425266	331	8	D.	D.	NNP
10_1101-2021_01_05_425266	331	9	Gilson	Gilson	NNP
10_1101-2021_01_05_425266	331	10	,	,	,
10_1101-2021_01_05_425266	331	11	C.	C.	NNP
10_1101-2021_01_05_425266	331	12	M.	M.	NNP
10_1101-2021_01_05_425266	331	13	Kramer	Kramer	NNP
10_1101-2021_01_05_425266	331	14	,	,	,
10_1101-2021_01_05_425266	331	15	and	and	CC
10_1101-2021_01_05_425266	331	16	F.	F.	NNP
10_1101-2021_01_05_425266	331	17	H.	H.	NNP
10_1101-2021_01_05_425266	331	18	Epstein	Epstein	NNP
10_1101-2021_01_05_425266	331	19	,	,	,
10_1101-2021_01_05_425266	331	20	“	"	``
10_1101-2021_01_05_425266	331	21	Myocardial	myocardial	JJ
10_1101-2021_01_05_425266	331	22	Tissue	tissue	NN
10_1101-2021_01_05_425266	331	23	Tracking	Tracking	NNP
10_1101-2021_01_05_425266	331	24	with	with	IN
10_1101-2021_01_05_425266	331	25	Two	two	CD
10_1101-2021_01_05_425266	331	26	-	-	HYPH
10_1101-2021_01_05_425266	331	27	dimensional	dimensional	JJ
10_1101-2021_01_05_425266	331	28	Cine	Cine	NNP
10_1101-2021_01_05_425266	331	29	Displacement	Displacement	NNP
10_1101-2021_01_05_425266	331	30	-	-	HYPH
10_1101-2021_01_05_425266	331	31	encoded	encode	VBN
10_1101-2021_01_05_425266	331	32	MR	MR	NNP
10_1101-2021_01_05_425266	331	33	Imaging	Imaging	NNP
10_1101-2021_01_05_425266	331	34	:	:	:
10_1101-2021_01_05_425266	331	35	Development	Development	NNP
10_1101-2021_01_05_425266	331	36	and	and	CC
10_1101-2021_01_05_425266	331	37	Initial	Initial	NNP
10_1101-2021_01_05_425266	331	38	Evaluation	Evaluation	NNP
10_1101-2021_01_05_425266	331	39	,	,	,
10_1101-2021_01_05_425266	331	40	”	"	''
10_1101-2021_01_05_425266	331	41	Radiology	Radiology	NNP
10_1101-2021_01_05_425266	331	42	,	,	,
10_1101-2021_01_05_425266	331	43	vol	vol	NNP
10_1101-2021_01_05_425266	331	44	.	.	.
10_1101-2021_01_05_425266	332	1	230	230	CD
10_1101-2021_01_05_425266	332	2	,	,	,
10_1101-2021_01_05_425266	332	3	no	no	UH
10_1101-2021_01_05_425266	332	4	.	.	.
10_1101-2021_01_05_425266	333	1	3	3	CD
10_1101-2021_01_05_425266	333	2	,	,	,
10_1101-2021_01_05_425266	333	3	pp	pp	NNP
10_1101-2021_01_05_425266	333	4	.	.	.
10_1101-2021_01_05_425266	334	1	862–871	862–871	NNP
10_1101-2021_01_05_425266	334	2	,	,	,
10_1101-2021_01_05_425266	334	3	Mar.	March	NNP
10_1101-2021_01_05_425266	335	1	2004	2004	CD
10_1101-2021_01_05_425266	335	2	.	.	.
10_1101-2021_01_05_425266	336	1	[	[	-LRB-
10_1101-2021_01_05_425266	336	2	7	7	CD
10_1101-2021_01_05_425266	336	3	]	]	-RRB-
10_1101-2021_01_05_425266	336	4	N.	N.	NNP
10_1101-2021_01_05_425266	336	5	Risum	Risum	NNP
10_1101-2021_01_05_425266	336	6	,	,	,
10_1101-2021_01_05_425266	336	7	S.	S.	NNP
10_1101-2021_01_05_425266	336	8	Ali	Ali	NNP
10_1101-2021_01_05_425266	336	9	,	,	,
10_1101-2021_01_05_425266	336	10	N.	N.	NNP
10_1101-2021_01_05_425266	336	11	T.	T.	NNP
10_1101-2021_01_05_425266	336	12	Olsen	Olsen	NNP
10_1101-2021_01_05_425266	336	13	,	,	,
10_1101-2021_01_05_425266	336	14	C.	C.	NNP
10_1101-2021_01_05_425266	336	15	Jons	Jons	NNP
10_1101-2021_01_05_425266	336	16	,	,	,
10_1101-2021_01_05_425266	336	17	M.	M.	NNP
10_1101-2021_01_05_425266	336	18	G.	G.	NNP
10_1101-2021_01_05_425266	336	19	Khouri	Khouri	NNP
10_1101-2021_01_05_425266	336	20	,	,	,
10_1101-2021_01_05_425266	336	21	T.	T.	NNP
10_1101-2021_01_05_425266	336	22	K.	K.	NNP
10_1101-2021_01_05_425266	336	23	Lauridsen	Lauridsen	NNP
10_1101-2021_01_05_425266	336	24	,	,	,
10_1101-2021_01_05_425266	336	25	Z.	Z.	NNP
10_1101-2021_01_05_425266	336	26	Samad	Samad	NNP
10_1101-2021_01_05_425266	336	27	,	,	,
10_1101-2021_01_05_425266	336	28	E.	E.	NNP
10_1101-2021_01_05_425266	336	29	J.	J.	NNP
10_1101-2021_01_05_425266	336	30	Velazquez	Velazquez	NNP
10_1101-2021_01_05_425266	336	31	,	,	,
10_1101-2021_01_05_425266	336	32	P.	P.	NNP
10_1101-2021_01_05_425266	336	33	Sogaard	Sogaard	NNP
10_1101-2021_01_05_425266	336	34	,	,	,
10_1101-2021_01_05_425266	336	35	and	and	CC
10_1101-2021_01_05_425266	336	36	J.	J.	NNP
10_1101-2021_01_05_425266	336	37	Kisslo	Kisslo	NNP
10_1101-2021_01_05_425266	336	38	,	,	,
10_1101-2021_01_05_425266	336	39	“	"	``
10_1101-2021_01_05_425266	336	40	Variability	Variability	NNP
10_1101-2021_01_05_425266	336	41	of	of	IN
10_1101-2021_01_05_425266	336	42	Global	Global	NNP
10_1101-2021_01_05_425266	336	43	Left	Left	NNP
10_1101-2021_01_05_425266	336	44	Ventricular	Ventricular	NNP
10_1101-2021_01_05_425266	336	45	Deformation	Deformation	NNP
10_1101-2021_01_05_425266	336	46	Analysis	Analysis	NNP
10_1101-2021_01_05_425266	336	47	Using	use	VBG
10_1101-2021_01_05_425266	336	48	Vendor	Vendor	NNP
10_1101-2021_01_05_425266	336	49	Dependent	Dependent	NNP
10_1101-2021_01_05_425266	336	50	and	and	CC
10_1101-2021_01_05_425266	336	51	Independent	Independent	NNP
10_1101-2021_01_05_425266	336	52	Two	Two	NNP
10_1101-2021_01_05_425266	336	53	-	-	HYPH
10_1101-2021_01_05_425266	336	54	Dimensional	Dimensional	NNP
10_1101-2021_01_05_425266	336	55	Speckle	Speckle	NNP
10_1101-2021_01_05_425266	336	56	-	-	HYPH
10_1101-2021_01_05_425266	336	57	Tracking	Tracking	NNP
10_1101-2021_01_05_425266	336	58	Software	Software	NNP
10_1101-2021_01_05_425266	336	59	in	in	IN
10_1101-2021_01_05_425266	336	60	Adults	Adults	NNP
10_1101-2021_01_05_425266	336	61	,	,	,
10_1101-2021_01_05_425266	336	62	”	"	''
10_1101-2021_01_05_425266	336	63	Journal	Journal	NNP
10_1101-2021_01_05_425266	336	64	of	of	IN
10_1101-2021_01_05_425266	336	65	the	the	DT
10_1101-2021_01_05_425266	336	66	American	American	NNP
10_1101-2021_01_05_425266	336	67	Society	Society	NNP
10_1101-2021_01_05_425266	336	68	of	of	IN
10_1101-2021_01_05_425266	336	69	Echocardiography	Echocardiography	NNP
10_1101-2021_01_05_425266	336	70	,	,	,
10_1101-2021_01_05_425266	336	71	vol	vol	NNP
10_1101-2021_01_05_425266	336	72	.	.	.
10_1101-2021_01_05_425266	337	1	25	25	CD
10_1101-2021_01_05_425266	337	2	,	,	,
10_1101-2021_01_05_425266	337	3	no	no	UH
10_1101-2021_01_05_425266	337	4	.	.	.
10_1101-2021_01_05_425266	338	1	11	11	CD
10_1101-2021_01_05_425266	338	2	,	,	,
10_1101-2021_01_05_425266	338	3	pp	pp	NNP
10_1101-2021_01_05_425266	338	4	.	.	.
10_1101-2021_01_05_425266	339	1	1195–1203	1195–1203	CD
10_1101-2021_01_05_425266	339	2	,	,	,
10_1101-2021_01_05_425266	339	3	Nov.	November	NNP
10_1101-2021_01_05_425266	339	4	2012	2012	CD
10_1101-2021_01_05_425266	339	5	.	.	.
10_1101-2021_01_05_425266	340	1	[	[	-LRB-
10_1101-2021_01_05_425266	340	2	8	8	CD
10_1101-2021_01_05_425266	340	3	]	]	-RRB-
10_1101-2021_01_05_425266	340	4	A.	a.	NN
10_1101-2021_01_05_425266	340	5	Schuster	Schuster	NNP
10_1101-2021_01_05_425266	340	6	,	,	,
10_1101-2021_01_05_425266	340	7	V.-C.	V.-C.	NNP
10_1101-2021_01_05_425266	340	8	Stahnke	Stahnke	NNP
10_1101-2021_01_05_425266	340	9	,	,	,
10_1101-2021_01_05_425266	340	10	C.	C.	NNP
10_1101-2021_01_05_425266	340	11	Unterberg	Unterberg	NNP
10_1101-2021_01_05_425266	340	12	-	-	HYPH
10_1101-2021_01_05_425266	340	13	Buchwald	Buchwald	NNP
10_1101-2021_01_05_425266	340	14	,	,	,
10_1101-2021_01_05_425266	340	15	J.	J.	NNP
10_1101-2021_01_05_425266	340	16	T.	T.	NNP
10_1101-2021_01_05_425266	340	17	Kowallick	Kowallick	NNP
10_1101-2021_01_05_425266	340	18	,	,	,
10_1101-2021_01_05_425266	340	19	P.	P.	NNP
10_1101-2021_01_05_425266	340	20	Lamata	Lamata	NNP
10_1101-2021_01_05_425266	340	21	,	,	,
10_1101-2021_01_05_425266	340	22	M.	M.	NNP
10_1101-2021_01_05_425266	340	23	Steinmetz	Steinmetz	NNP
10_1101-2021_01_05_425266	340	24	,	,	,
10_1101-2021_01_05_425266	340	25	S.	S.	NNP
10_1101-2021_01_05_425266	340	26	Kutty	Kutty	NNP
10_1101-2021_01_05_425266	340	27	,	,	,
10_1101-2021_01_05_425266	340	28	M.	M.	NNP
10_1101-2021_01_05_425266	340	29	Fasshauer	Fasshauer	NNP
10_1101-2021_01_05_425266	340	30	,	,	,
10_1101-2021_01_05_425266	340	31	W.	W.	NNP
10_1101-2021_01_05_425266	340	32	Staab	Staab	NNP
10_1101-2021_01_05_425266	340	33	,	,	,
10_1101-2021_01_05_425266	340	34	J.	J.	NNP
10_1101-2021_01_05_425266	340	35	M.	M.	NNP
10_1101-2021_01_05_425266	340	36	Sohns	Sohns	NNP
10_1101-2021_01_05_425266	340	37	,	,	,
10_1101-2021_01_05_425266	340	38	B.	B.	NNP
10_1101-2021_01_05_425266	340	39	Bigalke	Bigalke	NNP
10_1101-2021_01_05_425266	340	40	,	,	,
10_1101-2021_01_05_425266	340	41	C.	C.	NNP
10_1101-2021_01_05_425266	340	42	Ritter	Ritter	NNP
10_1101-2021_01_05_425266	340	43	,	,	,
10_1101-2021_01_05_425266	340	44	G.	G.	NNP
10_1101-2021_01_05_425266	340	45	Hasenfuß	Hasenfuß	NNP
10_1101-2021_01_05_425266	340	46	,	,	,
10_1101-2021_01_05_425266	340	47	P.	P.	NNP
10_1101-2021_01_05_425266	340	48	Beerbaum	Beerbaum	NNP
10_1101-2021_01_05_425266	340	49	,	,	,
10_1101-2021_01_05_425266	340	50	and	and	CC
10_1101-2021_01_05_425266	340	51	J.	J.	NNP
10_1101-2021_01_05_425266	340	52	Lotz	Lotz	NNP
10_1101-2021_01_05_425266	340	53	,	,	,
10_1101-2021_01_05_425266	340	54	“	"	``
10_1101-2021_01_05_425266	340	55	Cardiovascular	Cardiovascular	NNP
10_1101-2021_01_05_425266	340	56	magnetic	magnetic	JJ
10_1101-2021_01_05_425266	340	57	resonance	resonance	NN
10_1101-2021_01_05_425266	340	58	feature	feature	NN
10_1101-2021_01_05_425266	340	59	-	-	HYPH
10_1101-2021_01_05_425266	340	60	tracking	track	VBG
10_1101-2021_01_05_425266	340	61	assessment	assessment	NN
10_1101-2021_01_05_425266	340	62	of	of	IN
10_1101-2021_01_05_425266	340	63	myocardial	myocardial	JJ
10_1101-2021_01_05_425266	340	64	mechanics	mechanic	NNS
10_1101-2021_01_05_425266	340	65	:	:	:
10_1101-2021_01_05_425266	340	66	Intervendor	intervendor	JJ
10_1101-2021_01_05_425266	340	67	agreement	agreement	NN
10_1101-2021_01_05_425266	340	68	and	and	CC
10_1101-2021_01_05_425266	340	69	considerations	consideration	NNS
10_1101-2021_01_05_425266	340	70	regarding	regard	VBG
10_1101-2021_01_05_425266	340	71	reproducibility	reproducibility	NN
10_1101-2021_01_05_425266	340	72	,	,	,
10_1101-2021_01_05_425266	340	73	”	"	''
10_1101-2021_01_05_425266	340	74	Clinical	Clinical	NNP
10_1101-2021_01_05_425266	340	75	Radiology	Radiology	NNP
10_1101-2021_01_05_425266	340	76	,	,	,
10_1101-2021_01_05_425266	340	77	vol	vol	NNP
10_1101-2021_01_05_425266	340	78	.	.	.
10_1101-2021_01_05_425266	341	1	70	70	CD
10_1101-2021_01_05_425266	341	2	,	,	,
10_1101-2021_01_05_425266	341	3	no	no	UH
10_1101-2021_01_05_425266	341	4	.	.	.
10_1101-2021_01_05_425266	342	1	9	9	CD
10_1101-2021_01_05_425266	342	2	,	,	,
10_1101-2021_01_05_425266	342	3	pp	pp	NNP
10_1101-2021_01_05_425266	342	4	.	.	.
10_1101-2021_01_05_425266	343	1	989	989	CD
10_1101-2021_01_05_425266	343	2	–	–	:
10_1101-2021_01_05_425266	343	3	998	998	CD
10_1101-2021_01_05_425266	343	4	,	,	,
10_1101-2021_01_05_425266	343	5	Sep.	September	NNP
10_1101-2021_01_05_425266	343	6	2015	2015	CD
10_1101-2021_01_05_425266	343	7	.	.	.
10_1101-2021_01_05_425266	344	1	[	[	-LRB-
10_1101-2021_01_05_425266	344	2	9	9	CD
10_1101-2021_01_05_425266	344	3	]	]	-RRB-
10_1101-2021_01_05_425266	344	4	Wenzhe	Wenzhe	NNP
10_1101-2021_01_05_425266	344	5	Shi	Shi	NNP
10_1101-2021_01_05_425266	344	6	,	,	,
10_1101-2021_01_05_425266	344	7	Xiahai	Xiahai	NNP
10_1101-2021_01_05_425266	344	8	Zhuang	Zhuang	NNP
10_1101-2021_01_05_425266	344	9	,	,	,
10_1101-2021_01_05_425266	344	10	Haiyan	Haiyan	NNP
10_1101-2021_01_05_425266	344	11	Wang	Wang	NNP
10_1101-2021_01_05_425266	344	12	,	,	,
10_1101-2021_01_05_425266	344	13	S.	S.	NNP
10_1101-2021_01_05_425266	344	14	Duckett	Duckett	NNP
10_1101-2021_01_05_425266	344	15	,	,	,
10_1101-2021_01_05_425266	344	16	D.	D.	NNP
10_1101-2021_01_05_425266	344	17	V.	V.	NNP
10_1101-2021_01_05_425266	344	18	N.	N.	NNP
10_1101-2021_01_05_425266	344	19	Luong	Luong	NNP
10_1101-2021_01_05_425266	344	20	,	,	,
10_1101-2021_01_05_425266	344	21	C.	C.	NNP
10_1101-2021_01_05_425266	344	22	Tobon	Tobon	NNP
10_1101-2021_01_05_425266	344	23	-	-	HYPH
10_1101-2021_01_05_425266	344	24	Gomez	Gomez	NNP
10_1101-2021_01_05_425266	344	25	,	,	,
10_1101-2021_01_05_425266	344	26	KaiPin	KaiPin	NNP
10_1101-2021_01_05_425266	344	27	Tung	Tung	NNP
10_1101-2021_01_05_425266	344	28	,	,	,
10_1101-2021_01_05_425266	344	29	P.	P.	NNP
10_1101-2021_01_05_425266	344	30	J.	J.	NNP
10_1101-2021_01_05_425266	344	31	Edwards	Edwards	NNP
10_1101-2021_01_05_425266	344	32	,	,	,
10_1101-2021_01_05_425266	344	33	K.	K.	NNP
10_1101-2021_01_05_425266	344	34	S.	S.	NNP
10_1101-2021_01_05_425266	344	35	Rhode	Rhode	NNP
10_1101-2021_01_05_425266	344	36	,	,	,
10_1101-2021_01_05_425266	344	37	R.	R.	NNP
10_1101-2021_01_05_425266	344	38	S.	S.	NNP
10_1101-2021_01_05_425266	344	39	Razavi	Razavi	NNP
10_1101-2021_01_05_425266	344	40	,	,	,
10_1101-2021_01_05_425266	344	41	S.	S.	NNP
10_1101-2021_01_05_425266	344	42	Ourselin	Ourselin	NNP
10_1101-2021_01_05_425266	344	43	,	,	,
10_1101-2021_01_05_425266	344	44	and	and	CC
10_1101-2021_01_05_425266	344	45	D.	D.	NNP
10_1101-2021_01_05_425266	344	46	Rueckert	Rueckert	NNP
10_1101-2021_01_05_425266	344	47	,	,	,
10_1101-2021_01_05_425266	344	48	“	"	``
10_1101-2021_01_05_425266	344	49	A	a	DT
10_1101-2021_01_05_425266	344	50	Comprehensive	comprehensive	JJ
10_1101-2021_01_05_425266	344	51	Cardiac	Cardiac	NNP
10_1101-2021_01_05_425266	344	52	Motion	Motion	NNP
10_1101-2021_01_05_425266	344	53	Estimation	Estimation	NNP
10_1101-2021_01_05_425266	344	54	Framework	Framework	NNP
10_1101-2021_01_05_425266	344	55	Using	use	VBG
10_1101-2021_01_05_425266	344	56	Both	both	CC
10_1101-2021_01_05_425266	344	57	Untagged	untagged	JJ
10_1101-2021_01_05_425266	344	58	and	and	CC
10_1101-2021_01_05_425266	344	59	3-D	3-d	CD
10_1101-2021_01_05_425266	344	60	Tagged	tag	VBN
10_1101-2021_01_05_425266	344	61	MR	MR	NNP
10_1101-2021_01_05_425266	344	62	Images	image	NNS
10_1101-2021_01_05_425266	344	63	Based	base	VBN
10_1101-2021_01_05_425266	344	64	on	on	IN
10_1101-2021_01_05_425266	344	65	Nonrigid	Nonrigid	NNP
10_1101-2021_01_05_425266	344	66	Registration	Registration	NNP
10_1101-2021_01_05_425266	344	67	,	,	,
10_1101-2021_01_05_425266	344	68	”	"	''
10_1101-2021_01_05_425266	344	69	IEEE	IEEE	NNP
10_1101-2021_01_05_425266	344	70	Trans	Trans	NNPS
10_1101-2021_01_05_425266	344	71	.	.	.
10_1101-2021_01_05_425266	345	1	Med	Med	NNP
10_1101-2021_01_05_425266	345	2	.	.	.
10_1101-2021_01_05_425266	346	1	Imaging	Imaging	NNP
10_1101-2021_01_05_425266	346	2	,	,	,
10_1101-2021_01_05_425266	346	3	vol	vol	NNP
10_1101-2021_01_05_425266	346	4	.	.	.
10_1101-2021_01_05_425266	347	1	31	31	CD
10_1101-2021_01_05_425266	347	2	,	,	,
10_1101-2021_01_05_425266	347	3	no	no	UH
10_1101-2021_01_05_425266	347	4	.	.	.
10_1101-2021_01_05_425266	348	1	6	6	CD
10_1101-2021_01_05_425266	348	2	,	,	,
10_1101-2021_01_05_425266	348	3	pp	pp	NNP
10_1101-2021_01_05_425266	348	4	.	.	.
10_1101-2021_01_05_425266	349	1	1263–1275	1263–1275	CD
10_1101-2021_01_05_425266	349	2	,	,	,
10_1101-2021_01_05_425266	349	3	Jun.	June	NNP
10_1101-2021_01_05_425266	350	1	2012	2012	CD
10_1101-2021_01_05_425266	350	2	.	.	.
10_1101-2021_01_05_425266	351	1	[	[	-LRB-
10_1101-2021_01_05_425266	351	2	10	10	CD
10_1101-2021_01_05_425266	351	3	]	]	-RRB-
10_1101-2021_01_05_425266	351	4	G.	G.	NNP
10_1101-2021_01_05_425266	351	5	Pedrizzetti	Pedrizzetti	NNP
10_1101-2021_01_05_425266	351	6	,	,	,
10_1101-2021_01_05_425266	351	7	P.	P.	NNP
10_1101-2021_01_05_425266	351	8	Claus	Claus	NNP
10_1101-2021_01_05_425266	351	9	,	,	,
10_1101-2021_01_05_425266	351	10	P.	P.	NNP
10_1101-2021_01_05_425266	351	11	J.	J.	NNP
10_1101-2021_01_05_425266	351	12	Kilner	Kilner	NNP
10_1101-2021_01_05_425266	351	13	,	,	,
10_1101-2021_01_05_425266	351	14	and	and	CC
10_1101-2021_01_05_425266	351	15	E.	E.	NNP
10_1101-2021_01_05_425266	351	16	Nagel	Nagel	NNP
10_1101-2021_01_05_425266	351	17	,	,	,
10_1101-2021_01_05_425266	351	18	“	"	``
10_1101-2021_01_05_425266	351	19	Principles	principle	NNS
10_1101-2021_01_05_425266	351	20	of	of	IN
10_1101-2021_01_05_425266	351	21	cardiovascular	cardiovascular	JJ
10_1101-2021_01_05_425266	351	22	magnetic	magnetic	JJ
10_1101-2021_01_05_425266	351	23	resonance	resonance	NN
10_1101-2021_01_05_425266	351	24	feature	feature	NN
10_1101-2021_01_05_425266	351	25	tracking	tracking	NN
10_1101-2021_01_05_425266	351	26	and	and	CC
10_1101-2021_01_05_425266	351	27	echocardiographic	echocardiographic	JJ
10_1101-2021_01_05_425266	351	28	speckle	speckle	JJ
10_1101-2021_01_05_425266	351	29	tracking	tracking	NN
10_1101-2021_01_05_425266	351	30	for	for	IN
10_1101-2021_01_05_425266	351	31	informed	informed	JJ
10_1101-2021_01_05_425266	351	32	clinical	clinical	JJ
10_1101-2021_01_05_425266	351	33	use	use	NN
10_1101-2021_01_05_425266	351	34	,	,	,
10_1101-2021_01_05_425266	351	35	”	"	''
10_1101-2021_01_05_425266	351	36	Journal	Journal	NNP
10_1101-2021_01_05_425266	351	37	of	of	IN
10_1101-2021_01_05_425266	351	38	Cardiovascular	Cardiovascular	NNP
10_1101-2021_01_05_425266	351	39	Magnetic	Magnetic	NNP
10_1101-2021_01_05_425266	351	40	Resonance	Resonance	NNP
10_1101-2021_01_05_425266	351	41	,	,	,
10_1101-2021_01_05_425266	351	42	vol	vol	NNP
10_1101-2021_01_05_425266	351	43	.	.	.
10_1101-2021_01_05_425266	352	1	18	18	CD
10_1101-2021_01_05_425266	352	2	,	,	,
10_1101-2021_01_05_425266	352	3	no	no	UH
10_1101-2021_01_05_425266	352	4	.	.	.
10_1101-2021_01_05_425266	353	1	1	1	CD
10_1101-2021_01_05_425266	353	2	,	,	,
10_1101-2021_01_05_425266	353	3	p.	p.	NN
10_1101-2021_01_05_425266	353	4	51	51	CD
10_1101-2021_01_05_425266	353	5	,	,	,
10_1101-2021_01_05_425266	353	6	Dec.	December	NNP
10_1101-2021_01_05_425266	353	7	2016	2016	CD
10_1101-2021_01_05_425266	353	8	.	.	.
10_1101-2021_01_05_425266	354	1	[	[	-LRB-
10_1101-2021_01_05_425266	354	2	11	11	CD
10_1101-2021_01_05_425266	354	3	]	]	-RRB-
10_1101-2021_01_05_425266	354	4	M.	M.	NNP
10_1101-2021_01_05_425266	354	5	De	De	NNP
10_1101-2021_01_05_425266	354	6	Craene	Craene	NNP
10_1101-2021_01_05_425266	354	7	,	,	,
10_1101-2021_01_05_425266	354	8	G.	G.	NNP
10_1101-2021_01_05_425266	354	9	Piella	Piella	NNP
10_1101-2021_01_05_425266	354	10	,	,	,
10_1101-2021_01_05_425266	354	11	O.	O.	NNP
10_1101-2021_01_05_425266	354	12	Camara	Camara	NNP
10_1101-2021_01_05_425266	354	13	,	,	,
10_1101-2021_01_05_425266	354	14	N.	N.	NNP
10_1101-2021_01_05_425266	354	15	Duchateau	Duchateau	NNP
10_1101-2021_01_05_425266	354	16	,	,	,
10_1101-2021_01_05_425266	354	17	E.	E.	NNP
10_1101-2021_01_05_425266	354	18	Silva	Silva	NNP
10_1101-2021_01_05_425266	354	19	,	,	,
10_1101-2021_01_05_425266	354	20	A.	a.	NN
10_1101-2021_01_05_425266	354	21	Doltra	Doltra	NNP
10_1101-2021_01_05_425266	354	22	,	,	,
10_1101-2021_01_05_425266	354	23	J.	J.	NNP
10_1101-2021_01_05_425266	354	24	D’hooge	D’hooge	NNP
10_1101-2021_01_05_425266	354	25	,	,	,
10_1101-2021_01_05_425266	354	26	J.	J.	NNP
10_1101-2021_01_05_425266	354	27	Brugada	Brugada	NNP
10_1101-2021_01_05_425266	354	28	,	,	,
10_1101-2021_01_05_425266	354	29	M.	M.	NNP
10_1101-2021_01_05_425266	354	30	Sitges	Sitges	NNP
10_1101-2021_01_05_425266	354	31	,	,	,
10_1101-2021_01_05_425266	354	32	and	and	CC
10_1101-2021_01_05_425266	354	33	A.	A.	NNP
10_1101-2021_01_05_425266	354	34	F.	F.	NNP
10_1101-2021_01_05_425266	354	35	Frangi	Frangi	NNP
10_1101-2021_01_05_425266	354	36	,	,	,
10_1101-2021_01_05_425266	354	37	“	"	``
10_1101-2021_01_05_425266	354	38	Temporal	temporal	JJ
10_1101-2021_01_05_425266	354	39	diffeomorphic	diffeomorphic	JJ
10_1101-2021_01_05_425266	354	40	free	free	JJ
10_1101-2021_01_05_425266	354	41	-	-	HYPH
10_1101-2021_01_05_425266	354	42	form	form	NN
10_1101-2021_01_05_425266	354	43	deformation	deformation	NN
10_1101-2021_01_05_425266	354	44	:	:	:
10_1101-2021_01_05_425266	354	45	Application	application	NN
10_1101-2021_01_05_425266	354	46	to	to	IN
10_1101-2021_01_05_425266	354	47	motion	motion	NN
10_1101-2021_01_05_425266	354	48	and	and	CC
10_1101-2021_01_05_425266	354	49	strain	strain	VB
10_1101-2021_01_05_425266	354	50	estimation	estimation	NN
10_1101-2021_01_05_425266	354	51	from	from	IN
10_1101-2021_01_05_425266	354	52	3D	3D	NNP
10_1101-2021_01_05_425266	354	53	echocardiography	echocardiography	NN
10_1101-2021_01_05_425266	354	54	,	,	,
10_1101-2021_01_05_425266	354	55	”	"	''
10_1101-2021_01_05_425266	354	56	Medical	Medical	NNP
10_1101-2021_01_05_425266	354	57	Image	Image	NNP
10_1101-2021_01_05_425266	354	58	Analysis	Analysis	NNP
10_1101-2021_01_05_425266	354	59	,	,	,
10_1101-2021_01_05_425266	354	60	vol	vol	NNP
10_1101-2021_01_05_425266	354	61	.	.	.
10_1101-2021_01_05_425266	355	1	16	16	CD
10_1101-2021_01_05_425266	355	2	,	,	,
10_1101-2021_01_05_425266	355	3	no	no	UH
10_1101-2021_01_05_425266	355	4	.	.	.
10_1101-2021_01_05_425266	356	1	2	2	CD
10_1101-2021_01_05_425266	356	2	,	,	,
10_1101-2021_01_05_425266	356	3	pp	pp	NNP
10_1101-2021_01_05_425266	356	4	.	.	.
10_1101-2021_01_05_425266	357	1	427–450	427–450	CD
10_1101-2021_01_05_425266	357	2	,	,	,
10_1101-2021_01_05_425266	357	3	Feb.	February	NNP
10_1101-2021_01_05_425266	357	4	2012	2012	CD
10_1101-2021_01_05_425266	357	5	.	.	.
10_1101-2021_01_05_425266	358	1	[	[	-LRB-
10_1101-2021_01_05_425266	358	2	12	12	CD
10_1101-2021_01_05_425266	358	3	]	]	-RRB-
10_1101-2021_01_05_425266	358	4	T.	T.	NNP
10_1101-2021_01_05_425266	358	5	Mansi	Mansi	NNP
10_1101-2021_01_05_425266	358	6	,	,	,
10_1101-2021_01_05_425266	358	7	X.	X.	NNP
10_1101-2021_01_05_425266	358	8	Pennec	Pennec	NNP
10_1101-2021_01_05_425266	358	9	,	,	,
10_1101-2021_01_05_425266	358	10	M.	M.	NNP
10_1101-2021_01_05_425266	358	11	Sermesant	Sermesant	NNP
10_1101-2021_01_05_425266	358	12	,	,	,
10_1101-2021_01_05_425266	358	13	H.	H.	NNP
10_1101-2021_01_05_425266	358	14	Delingette	Delingette	NNP
10_1101-2021_01_05_425266	358	15	,	,	,
10_1101-2021_01_05_425266	358	16	and	and	CC
10_1101-2021_01_05_425266	358	17	N.	N.	NNP
10_1101-2021_01_05_425266	358	18	Ayache	Ayache	NNP
10_1101-2021_01_05_425266	358	19	,	,	,
10_1101-2021_01_05_425266	358	20	“	"	``
10_1101-2021_01_05_425266	358	21	iLogDemons	ilogdemon	NNS
10_1101-2021_01_05_425266	358	22	:	:	:
10_1101-2021_01_05_425266	358	23	A	a	DT
10_1101-2021_01_05_425266	358	24	Demons	Demons	NNPS
10_1101-2021_01_05_425266	358	25	-	-	HYPH
10_1101-2021_01_05_425266	358	26	Based	base	VBN
10_1101-2021_01_05_425266	358	27	Registration	Registration	NNP
10_1101-2021_01_05_425266	358	28	Algorithm	Algorithm	NNP
10_1101-2021_01_05_425266	358	29	for	for	IN
10_1101-2021_01_05_425266	358	30	Tracking	track	VBG
10_1101-2021_01_05_425266	358	31	Incompressible	incompressible	JJ
10_1101-2021_01_05_425266	358	32	Elastic	elastic	JJ
10_1101-2021_01_05_425266	358	33	Biological	biological	JJ
10_1101-2021_01_05_425266	358	34	Tissues	Tissues	NNPS
10_1101-2021_01_05_425266	358	35	,	,	,
10_1101-2021_01_05_425266	358	36	”	"	''
10_1101-2021_01_05_425266	358	37	Int	Int	NNP
10_1101-2021_01_05_425266	358	38	J	J	NNP
10_1101-2021_01_05_425266	358	39	Comput	Comput	NNP
10_1101-2021_01_05_425266	358	40	Vis	Vis	NNP
10_1101-2021_01_05_425266	358	41	,	,	,
10_1101-2021_01_05_425266	358	42	vol	vol	NNP
10_1101-2021_01_05_425266	358	43	.	.	.
10_1101-2021_01_05_425266	359	1	92	92	CD
10_1101-2021_01_05_425266	359	2	,	,	,
10_1101-2021_01_05_425266	359	3	no	no	UH
10_1101-2021_01_05_425266	359	4	.	.	.
10_1101-2021_01_05_425266	360	1	1	1	CD
10_1101-2021_01_05_425266	360	2	,	,	,
10_1101-2021_01_05_425266	360	3	pp	pp	NNP
10_1101-2021_01_05_425266	360	4	.	.	.
10_1101-2021_01_05_425266	361	1	92–111	92–111	NNP
10_1101-2021_01_05_425266	361	2	,	,	,
10_1101-2021_01_05_425266	361	3	Mar.	March	NNP
10_1101-2021_01_05_425266	362	1	2011	2011	CD
10_1101-2021_01_05_425266	362	2	.	.	.
10_1101-2021_01_05_425266	363	1	[	[	-LRB-
10_1101-2021_01_05_425266	363	2	13	13	CD
10_1101-2021_01_05_425266	363	3	]	]	-RRB-
10_1101-2021_01_05_425266	363	4	R.	R.	NNP
10_1101-2021_01_05_425266	363	5	Avazmohammadi	Avazmohammadi	NNP
10_1101-2021_01_05_425266	363	6	,	,	,
10_1101-2021_01_05_425266	363	7	J.	J.	NNP
10_1101-2021_01_05_425266	363	8	S.	S.	NNP
10_1101-2021_01_05_425266	363	9	Soares	Soares	NNP
10_1101-2021_01_05_425266	363	10	,	,	,
10_1101-2021_01_05_425266	363	11	D.	D.	NNP
10_1101-2021_01_05_425266	363	12	S.	S.	NNP
10_1101-2021_01_05_425266	363	13	Li	Li	NNP
10_1101-2021_01_05_425266	363	14	,	,	,
10_1101-2021_01_05_425266	363	15	T.	T.	NNP
10_1101-2021_01_05_425266	363	16	Eperjesi	Eperjesi	NNP
10_1101-2021_01_05_425266	363	17	,	,	,
10_1101-2021_01_05_425266	363	18	J.	J.	NNP
10_1101-2021_01_05_425266	363	19	Pilla	Pilla	NNP
10_1101-2021_01_05_425266	363	20	,	,	,
10_1101-2021_01_05_425266	363	21	R.	R.	NNP
10_1101-2021_01_05_425266	363	22	C.	C.	NNP
10_1101-2021_01_05_425266	363	23	Gorman	Gorman	NNP
10_1101-2021_01_05_425266	363	24	,	,	,
10_1101-2021_01_05_425266	363	25	and	and	CC
10_1101-2021_01_05_425266	363	26	M.	M.	NNP
10_1101-2021_01_05_425266	363	27	S.	S.	NNP
10_1101-2021_01_05_425266	363	28	Sacks	Sacks	NNP
10_1101-2021_01_05_425266	363	29	,	,	,
10_1101-2021_01_05_425266	363	30	“	"	``
10_1101-2021_01_05_425266	363	31	On	on	IN
10_1101-2021_01_05_425266	363	32	the	the	DT
10_1101-2021_01_05_425266	363	33	in	in	IN
10_1101-2021_01_05_425266	363	34	vivo	vivo	NNP
10_1101-2021_01_05_425266	363	35	systolic	systolic	NNP
10_1101-2021_01_05_425266	363	36	compressibility	compressibility	NN
10_1101-2021_01_05_425266	363	37	of	of	IN
10_1101-2021_01_05_425266	363	38	left	left	JJ
10_1101-2021_01_05_425266	363	39	ventricular	ventricular	NNP
10_1101-2021_01_05_425266	363	40	free	free	JJ
10_1101-2021_01_05_425266	363	41	wall	wall	NN
10_1101-2021_01_05_425266	363	42	myocardium	myocardium	NN
10_1101-2021_01_05_425266	363	43	in	in	IN
10_1101-2021_01_05_425266	363	44	the	the	DT
10_1101-2021_01_05_425266	363	45	normal	normal	JJ
10_1101-2021_01_05_425266	363	46	and	and	CC
10_1101-2021_01_05_425266	363	47	infarcted	infarcte	VBD
10_1101-2021_01_05_425266	363	48	heart	heart	NN
10_1101-2021_01_05_425266	363	49	,	,	,
10_1101-2021_01_05_425266	363	50	”	"	''
10_1101-2021_01_05_425266	363	51	Journal	Journal	NNP
10_1101-2021_01_05_425266	363	52	of	of	IN
10_1101-2021_01_05_425266	363	53	Biomechanics	Biomechanics	NNP
10_1101-2021_01_05_425266	363	54	,	,	,
10_1101-2021_01_05_425266	363	55	vol	vol	NNP
10_1101-2021_01_05_425266	363	56	.	.	.
10_1101-2021_01_05_425266	364	1	107	107	CD
10_1101-2021_01_05_425266	364	2	,	,	,
10_1101-2021_01_05_425266	364	3	p.	p.	NN
10_1101-2021_01_05_425266	364	4	109767	109767	CD
10_1101-2021_01_05_425266	364	5	,	,	,
10_1101-2021_01_05_425266	364	6	Jun.	June	NNP
10_1101-2021_01_05_425266	365	1	2020	2020	CD
10_1101-2021_01_05_425266	365	2	.	.	.
10_1101-2021_01_05_425266	366	1	[	[	-LRB-
10_1101-2021_01_05_425266	366	2	14	14	CD
10_1101-2021_01_05_425266	366	3	]	]	-RRB-
10_1101-2021_01_05_425266	366	4	V.	V.	NNP
10_1101-2021_01_05_425266	366	5	Kumar	Kumar	NNP
10_1101-2021_01_05_425266	366	6	,	,	,
10_1101-2021_01_05_425266	366	7	A.	A.	NNP
10_1101-2021_01_05_425266	366	8	J.	J.	NNP
10_1101-2021_01_05_425266	366	9	Ryu	Ryu	NNP
10_1101-2021_01_05_425266	366	10	,	,	,
10_1101-2021_01_05_425266	366	11	A.	A.	NNP
10_1101-2021_01_05_425266	366	12	Manduca	Manduca	NNP
10_1101-2021_01_05_425266	366	13	,	,	,
10_1101-2021_01_05_425266	366	14	C.	C.	NNP
10_1101-2021_01_05_425266	366	15	Rao	Rao	NNP
10_1101-2021_01_05_425266	366	16	,	,	,
10_1101-2021_01_05_425266	366	17	R.	R.	NNP
10_1101-2021_01_05_425266	366	18	J.	J.	NNP
10_1101-2021_01_05_425266	366	19	Gibbons	Gibbons	NNP
10_1101-2021_01_05_425266	366	20	,	,	,
10_1101-2021_01_05_425266	366	21	B.	B.	NNP
10_1101-2021_01_05_425266	366	22	J.	J.	NNP
10_1101-2021_01_05_425266	366	23	Gersh	Gersh	NNP
10_1101-2021_01_05_425266	366	24	,	,	,
10_1101-2021_01_05_425266	366	25	K.	K.	NNP
10_1101-2021_01_05_425266	366	26	Chandrasekaran	Chandrasekaran	NNP
10_1101-2021_01_05_425266	366	27	,	,	,
10_1101-2021_01_05_425266	366	28	S.	S.	NNP
10_1101-2021_01_05_425266	366	29	J.	J.	NNP
10_1101-2021_01_05_425266	366	30	Asirvatham	Asirvatham	NNP
10_1101-2021_01_05_425266	366	31	,	,	,
10_1101-2021_01_05_425266	366	32	P.	P.	NNP
10_1101-2021_01_05_425266	366	33	A.	A.	NNP
10_1101-2021_01_05_425266	366	34	Araoz	Araoz	NNP
10_1101-2021_01_05_425266	366	35	,	,	,
10_1101-2021_01_05_425266	366	36	J.	J.	NNP
10_1101-2021_01_05_425266	366	37	K.	K.	NNP
10_1101-2021_01_05_425266	366	38	Oh	oh	UH
10_1101-2021_01_05_425266	366	39	,	,	,
10_1101-2021_01_05_425266	366	40	A.	A.	NNP
10_1101-2021_01_05_425266	366	41	C.	C.	NNP
10_1101-2021_01_05_425266	366	42	Egbe	Egbe	NNP
10_1101-2021_01_05_425266	366	43	,	,	,
10_1101-2021_01_05_425266	366	44	A.	A.	NNP
10_1101-2021_01_05_425266	366	45	Behfar	Behfar	NNP
10_1101-2021_01_05_425266	366	46	,	,	,
10_1101-2021_01_05_425266	366	47	B.	B.	NNP
10_1101-2021_01_05_425266	367	1	A.	A.	NNP
10_1101-2021_01_05_425266	367	2	Borlaug	Borlaug	NNP
10_1101-2021_01_05_425266	367	3	,	,	,
10_1101-2021_01_05_425266	367	4	and	and	CC
10_1101-2021_01_05_425266	367	5	N.	N.	NNP
10_1101-2021_01_05_425266	367	6	S.	S.	NNP
10_1101-2021_01_05_425266	367	7	Anavekar	Anavekar	NNP
10_1101-2021_01_05_425266	367	8	,	,	,
10_1101-2021_01_05_425266	367	9	“	"	``
10_1101-2021_01_05_425266	367	10	Cardiac	cardiac	JJ
10_1101-2021_01_05_425266	367	11	MRI	MRI	NNP
10_1101-2021_01_05_425266	367	12	demonstrates	demonstrate	VBZ
10_1101-2021_01_05_425266	367	13	compressibility	compressibility	NN
10_1101-2021_01_05_425266	367	14	in	in	IN
10_1101-2021_01_05_425266	367	15	healthy	healthy	JJ
10_1101-2021_01_05_425266	367	16	myocardium	myocardium	NN
10_1101-2021_01_05_425266	367	17	but	but	CC
10_1101-2021_01_05_425266	367	18	not	not	RB
10_1101-2021_01_05_425266	367	19	in	in	IN
10_1101-2021_01_05_425266	367	20	myocardium	myocardium	NN
10_1101-2021_01_05_425266	367	21	with	with	IN
10_1101-2021_01_05_425266	367	22	reduced	reduce	VBN
10_1101-2021_01_05_425266	367	23	ejection	ejection	NN
10_1101-2021_01_05_425266	367	24	fraction	fraction	NN
10_1101-2021_01_05_425266	367	25	,	,	,
10_1101-2021_01_05_425266	367	26	”	"	''
10_1101-2021_01_05_425266	367	27	International	International	NNP
10_1101-2021_01_05_425266	367	28	Journal	Journal	NNP
10_1101-2021_01_05_425266	367	29	of	of	IN
10_1101-2021_01_05_425266	367	30	Cardiology	Cardiology	NNP
10_1101-2021_01_05_425266	367	31	,	,	,
10_1101-2021_01_05_425266	367	32	vol	vol	NNP
10_1101-2021_01_05_425266	367	33	.	.	.
10_1101-2021_01_05_425266	368	1	322	322	CD
10_1101-2021_01_05_425266	368	2	,	,	,
10_1101-2021_01_05_425266	368	3	pp	pp	NNP
10_1101-2021_01_05_425266	368	4	.	.	.
10_1101-2021_01_05_425266	369	1	278–283	278–283	CD
10_1101-2021_01_05_425266	369	2	,	,	,
10_1101-2021_01_05_425266	369	3	Jan.	January	NNP
10_1101-2021_01_05_425266	369	4	2021	2021	CD
10_1101-2021_01_05_425266	369	5	.	.	.
10_1101-2021_01_05_425266	370	1	[	[	-LRB-
10_1101-2021_01_05_425266	370	2	15	15	CD
10_1101-2021_01_05_425266	370	3	]	]	-RRB-
10_1101-2021_01_05_425266	370	4	B.	B.	NNP
10_1101-2021_01_05_425266	370	5	Zhu	Zhu	NNP
10_1101-2021_01_05_425266	370	6	,	,	,
10_1101-2021_01_05_425266	370	7	J.	J.	NNP
10_1101-2021_01_05_425266	371	1	Z.	Z.	NNP
10_1101-2021_01_05_425266	371	2	Liu	Liu	NNP
10_1101-2021_01_05_425266	371	3	,	,	,
10_1101-2021_01_05_425266	371	4	B.	B.	NNP
10_1101-2021_01_05_425266	371	5	R.	R.	NNP
10_1101-2021_01_05_425266	371	6	Rosen	Rosen	NNP
10_1101-2021_01_05_425266	371	7	,	,	,
10_1101-2021_01_05_425266	371	8	and	and	CC
10_1101-2021_01_05_425266	371	9	M.	M.	NNP
10_1101-2021_01_05_425266	371	10	S.	S.	NNP
10_1101-2021_01_05_425266	371	11	Rosen	Rosen	NNP
10_1101-2021_01_05_425266	371	12	,	,	,
10_1101-2021_01_05_425266	371	13	“	"	``
10_1101-2021_01_05_425266	371	14	Image	image	NN
10_1101-2021_01_05_425266	371	15	reconstruction	reconstruction	NN
10_1101-2021_01_05_425266	371	16	by	by	IN
10_1101-2021_01_05_425266	371	17	domain	domain	NN
10_1101-2021_01_05_425266	371	18	transform	transform	NN
10_1101-2021_01_05_425266	371	19	manifold	manifold	JJ
10_1101-2021_01_05_425266	371	20	learning	learning	NN
10_1101-2021_01_05_425266	371	21	,	,	,
10_1101-2021_01_05_425266	371	22	”	"	''
10_1101-2021_01_05_425266	371	23	arXiv:1704.08841	arXiv:1704.08841	NNP
10_1101-2021_01_05_425266	371	24	[	[	-LRB-
10_1101-2021_01_05_425266	371	25	cs	cs	NNP
10_1101-2021_01_05_425266	371	26	]	]	-RRB-
10_1101-2021_01_05_425266	371	27	,	,	,
10_1101-2021_01_05_425266	371	28	Apr.	April	NNP
10_1101-2021_01_05_425266	372	1	2017	2017	CD
10_1101-2021_01_05_425266	372	2	.	.	.
10_1101-2021_01_05_425266	373	1	[	[	-LRB-
10_1101-2021_01_05_425266	373	2	16	16	CD
10_1101-2021_01_05_425266	373	3	]	]	-RRB-
10_1101-2021_01_05_425266	373	4	P.	P.	NNP
10_1101-2021_01_05_425266	373	5	Dong	Dong	NNP
10_1101-2021_01_05_425266	373	6	,	,	,
10_1101-2021_01_05_425266	373	7	B.	B.	NNP
10_1101-2021_01_05_425266	373	8	Provencher	Provencher	NNP
10_1101-2021_01_05_425266	373	9	,	,	,
10_1101-2021_01_05_425266	373	10	N.	N.	NNP
10_1101-2021_01_05_425266	373	11	Basim	Basim	NNP
10_1101-2021_01_05_425266	373	12	,	,	,
10_1101-2021_01_05_425266	373	13	N.	N.	NNP
10_1101-2021_01_05_425266	373	14	Piché	Piché	NNP
10_1101-2021_01_05_425266	373	15	,	,	,
10_1101-2021_01_05_425266	373	16	and	and	CC
10_1101-2021_01_05_425266	373	17	M.	M.	NNP
10_1101-2021_01_05_425266	373	18	Marsh	Marsh	NNP
10_1101-2021_01_05_425266	373	19	,	,	,
10_1101-2021_01_05_425266	373	20	“	"	``
10_1101-2021_01_05_425266	373	21	Forget	forget	VB
10_1101-2021_01_05_425266	373	22	About	about	IN
10_1101-2021_01_05_425266	373	23	Cleaning	clean	VBG
10_1101-2021_01_05_425266	373	24	up	up	RP
10_1101-2021_01_05_425266	373	25	Your	-PRON-	PRP$
10_1101-2021_01_05_425266	373	26	Micrographs	micrograph	NNS
10_1101-2021_01_05_425266	373	27	:	:	:
10_1101-2021_01_05_425266	373	28	Deep	deep	JJ
10_1101-2021_01_05_425266	373	29	Learning	learning	NN
10_1101-2021_01_05_425266	373	30	Segmentation	segmentation	NN
10_1101-2021_01_05_425266	373	31	Is	be	VBZ
10_1101-2021_01_05_425266	373	32	Robust	robust	JJ
10_1101-2021_01_05_425266	373	33	to	to	IN
10_1101-2021_01_05_425266	373	34	Image	Image	NNP
10_1101-2021_01_05_425266	373	35	Artifacts	Artifacts	NNPS
10_1101-2021_01_05_425266	373	36	,	,	,
10_1101-2021_01_05_425266	373	37	”	"	''
10_1101-2021_01_05_425266	373	38	Microsc	Microsc	NNP
10_1101-2021_01_05_425266	373	39	Microanal	Microanal	NNP
10_1101-2021_01_05_425266	373	40	,	,	,
10_1101-2021_01_05_425266	373	41	pp	pp	NNP
10_1101-2021_01_05_425266	373	42	.	.	.
10_1101-2021_01_05_425266	374	1	1–2	1–2	CD
10_1101-2021_01_05_425266	374	2	,	,	,
10_1101-2021_01_05_425266	374	3	Jul.	July	NNP
10_1101-2021_01_05_425266	375	1	2020	2020	CD
10_1101-2021_01_05_425266	375	2	.	.	.
10_1101-2021_01_05_425266	376	1	[	[	-LRB-
10_1101-2021_01_05_425266	376	2	17	17	CD
10_1101-2021_01_05_425266	376	3	]	]	-RRB-
10_1101-2021_01_05_425266	376	4	G.	G.	NNP
10_1101-2021_01_05_425266	376	5	Simantiris	Simantiris	NNP
10_1101-2021_01_05_425266	376	6	and	and	CC
10_1101-2021_01_05_425266	376	7	G.	G.	NNP
10_1101-2021_01_05_425266	376	8	Tziritas	Tziritas	NNP
10_1101-2021_01_05_425266	376	9	,	,	,
10_1101-2021_01_05_425266	376	10	“	"	``
10_1101-2021_01_05_425266	376	11	Cardiac	cardiac	JJ
10_1101-2021_01_05_425266	376	12	MRI	mri	NN
10_1101-2021_01_05_425266	376	13	Segmentation	segmentation	NN
10_1101-2021_01_05_425266	376	14	With	with	IN
10_1101-2021_01_05_425266	376	15	a	a	DT
10_1101-2021_01_05_425266	376	16	Dilated	dilate	VBN
10_1101-2021_01_05_425266	376	17	CNN	CNN	NNP
10_1101-2021_01_05_425266	376	18	Incorporating	Incorporating	NNP
10_1101-2021_01_05_425266	376	19	Domain	Domain	NNP
10_1101-2021_01_05_425266	376	20	-	-	HYPH
10_1101-2021_01_05_425266	376	21	Specific	Specific	NNP
10_1101-2021_01_05_425266	376	22	Constraints	constraint	NNS
10_1101-2021_01_05_425266	376	23	,	,	,
10_1101-2021_01_05_425266	376	24	”	"	''
10_1101-2021_01_05_425266	376	25	IEEE	IEEE	NNP
10_1101-2021_01_05_425266	376	26	J.	J.	NNP
10_1101-2021_01_05_425266	376	27	Sel	Sel	NNP
10_1101-2021_01_05_425266	376	28	.	.	.
10_1101-2021_01_05_425266	377	1	Top	Top	NNP
10_1101-2021_01_05_425266	377	2	.	.	.
10_1101-2021_01_05_425266	378	1	Signal	Signal	NNP
10_1101-2021_01_05_425266	378	2	Process	Process	NNP
10_1101-2021_01_05_425266	378	3	.	.	.
10_1101-2021_01_05_425266	378	4	,	,	,
10_1101-2021_01_05_425266	378	5	vol	vol	NNP
10_1101-2021_01_05_425266	378	6	.	.	.
10_1101-2021_01_05_425266	379	1	14	14	CD
10_1101-2021_01_05_425266	379	2	,	,	,
10_1101-2021_01_05_425266	379	3	no	no	UH
10_1101-2021_01_05_425266	379	4	.	.	.
10_1101-2021_01_05_425266	380	1	6	6	CD
10_1101-2021_01_05_425266	380	2	,	,	,
10_1101-2021_01_05_425266	380	3	pp	pp	NNP
10_1101-2021_01_05_425266	380	4	.	.	.
10_1101-2021_01_05_425266	381	1	1235–1243	1235–1243	CD
10_1101-2021_01_05_425266	381	2	,	,	,
10_1101-2021_01_05_425266	381	3	Oct.	October	NNP
10_1101-2021_01_05_425266	381	4	2020	2020	CD
10_1101-2021_01_05_425266	381	5	.	.	.
10_1101-2021_01_05_425266	382	1	[	[	-LRB-
10_1101-2021_01_05_425266	382	2	18	18	CD
10_1101-2021_01_05_425266	382	3	]	]	-RRB-
10_1101-2021_01_05_425266	382	4	F.	F.	NNP
10_1101-2021_01_05_425266	382	5	Isensee	Isensee	NNP
10_1101-2021_01_05_425266	382	6	,	,	,
10_1101-2021_01_05_425266	382	7	P.	P.	NNP
10_1101-2021_01_05_425266	382	8	Jaeger	Jaeger	NNP
10_1101-2021_01_05_425266	382	9	,	,	,
10_1101-2021_01_05_425266	382	10	P.	P.	NNP
10_1101-2021_01_05_425266	382	11	M.	M.	NNP
10_1101-2021_01_05_425266	382	12	Full	Full	NNP
10_1101-2021_01_05_425266	382	13	,	,	,
10_1101-2021_01_05_425266	382	14	I.	I.	NNP
10_1101-2021_01_05_425266	382	15	Wolf	Wolf	NNP
10_1101-2021_01_05_425266	382	16	,	,	,
10_1101-2021_01_05_425266	382	17	S.	S.	NNP
10_1101-2021_01_05_425266	382	18	Engelhardt	Engelhardt	NNP
10_1101-2021_01_05_425266	382	19	,	,	,
10_1101-2021_01_05_425266	382	20	and	and	CC
10_1101-2021_01_05_425266	382	21	K.	K.	NNP
10_1101-2021_01_05_425266	382	22	H.	H.	NNP
10_1101-2021_01_05_425266	382	23	Maier	Maier	NNP
10_1101-2021_01_05_425266	382	24	-	-	HYPH
10_1101-2021_01_05_425266	382	25	Hein	Hein	NNP
10_1101-2021_01_05_425266	382	26	,	,	,
10_1101-2021_01_05_425266	382	27	“	"	``
10_1101-2021_01_05_425266	382	28	Automatic	automatic	JJ
10_1101-2021_01_05_425266	382	29	Cardiac	cardiac	JJ
10_1101-2021_01_05_425266	382	30	Disease	Disease	NNP
10_1101-2021_01_05_425266	382	31	Assessment	Assessment	NNP
10_1101-2021_01_05_425266	382	32	on	on	IN
10_1101-2021_01_05_425266	382	33	cine	cine	NN
10_1101-2021_01_05_425266	382	34	-	-	HYPH
10_1101-2021_01_05_425266	382	35	MRI	mri	NN
10_1101-2021_01_05_425266	382	36	via	via	IN
10_1101-2021_01_05_425266	382	37	Time	Time	NNP
10_1101-2021_01_05_425266	382	38	-	-	HYPH
10_1101-2021_01_05_425266	382	39	Series	Series	NNP
10_1101-2021_01_05_425266	382	40	Segmentation	Segmentation	NNP
10_1101-2021_01_05_425266	382	41	and	and	CC
10_1101-2021_01_05_425266	382	42	Domain	Domain	NNP
10_1101-2021_01_05_425266	382	43	Specific	Specific	NNP
10_1101-2021_01_05_425266	382	44	Features	Features	NNPS
10_1101-2021_01_05_425266	382	45	,	,	,
10_1101-2021_01_05_425266	382	46	”	"	''
10_1101-2021_01_05_425266	382	47	arXiv:1707.00587	arXiv:1707.00587	NNP
10_1101-2021_01_05_425266	382	48	[	[	-LRB-
10_1101-2021_01_05_425266	382	49	cs	cs	NNP
10_1101-2021_01_05_425266	382	50	]	]	-RRB-
10_1101-2021_01_05_425266	382	51	,	,	,
10_1101-2021_01_05_425266	382	52	vol	vol	NNP
10_1101-2021_01_05_425266	382	53	.	.	.
10_1101-2021_01_05_425266	383	1	10663	10663	CD
10_1101-2021_01_05_425266	383	2	,	,	,
10_1101-2021_01_05_425266	383	3	2018	2018	CD
10_1101-2021_01_05_425266	383	4	.	.	.
10_1101-2021_01_05_425266	384	1	[	[	-LRB-
10_1101-2021_01_05_425266	384	2	19	19	CD
10_1101-2021_01_05_425266	384	3	]	]	-RRB-
10_1101-2021_01_05_425266	384	4	C.	C.	NNP
10_1101-2021_01_05_425266	384	5	Zotti	Zotti	NNP
10_1101-2021_01_05_425266	384	6	,	,	,
10_1101-2021_01_05_425266	384	7	Z.	Z.	NNP
10_1101-2021_01_05_425266	384	8	Luo	Luo	NNP
10_1101-2021_01_05_425266	384	9	,	,	,
10_1101-2021_01_05_425266	384	10	A.	A.	NNP
10_1101-2021_01_05_425266	384	11	Lalande	Lalande	NNP
10_1101-2021_01_05_425266	384	12	,	,	,
10_1101-2021_01_05_425266	384	13	and	and	CC
10_1101-2021_01_05_425266	384	14	P.-M.	P.-M.	NNP
10_1101-2021_01_05_425266	384	15	Jodoin	Jodoin	NNP
10_1101-2021_01_05_425266	384	16	,	,	,
10_1101-2021_01_05_425266	384	17	“	"	``
10_1101-2021_01_05_425266	384	18	Convolutional	Convolutional	NNP
10_1101-2021_01_05_425266	384	19	Neural	Neural	NNP
10_1101-2021_01_05_425266	384	20	Network	Network	NNP
10_1101-2021_01_05_425266	384	21	With	with	IN
10_1101-2021_01_05_425266	384	22	Shape	Shape	NNP
10_1101-2021_01_05_425266	384	23	Prior	Prior	NNP
10_1101-2021_01_05_425266	384	24	Applied	Applied	NNP
10_1101-2021_01_05_425266	384	25	to	to	IN
10_1101-2021_01_05_425266	384	26	Cardiac	Cardiac	NNP
10_1101-2021_01_05_425266	384	27	MRI	mri	NN
10_1101-2021_01_05_425266	384	28	Segmentation	segmentation	NN
10_1101-2021_01_05_425266	384	29	,	,	,
10_1101-2021_01_05_425266	384	30	”	"	''
10_1101-2021_01_05_425266	384	31	IEEE	IEEE	NNP
10_1101-2021_01_05_425266	384	32	J.	J.	NNP
10_1101-2021_01_05_425266	384	33	Biomed	Biomed	NNP
10_1101-2021_01_05_425266	384	34	.	.	.
10_1101-2021_01_05_425266	385	1	Health	Health	NNP
10_1101-2021_01_05_425266	385	2	Inform	Inform	NNP
10_1101-2021_01_05_425266	385	3	.	.	NNP
10_1101-2021_01_05_425266	385	4	,	,	,
10_1101-2021_01_05_425266	385	5	vol	vol	NNP
10_1101-2021_01_05_425266	385	6	.	.	.
10_1101-2021_01_05_425266	386	1	23	23	CD
10_1101-2021_01_05_425266	386	2	,	,	,
10_1101-2021_01_05_425266	386	3	no	no	UH
10_1101-2021_01_05_425266	386	4	.	.	.
10_1101-2021_01_05_425266	387	1	3	3	CD
10_1101-2021_01_05_425266	387	2	,	,	,
10_1101-2021_01_05_425266	387	3	pp	pp	NNP
10_1101-2021_01_05_425266	387	4	.	.	.
10_1101-2021_01_05_425266	388	1	1119–1128	1119–1128	CD
10_1101-2021_01_05_425266	388	2	,	,	,
10_1101-2021_01_05_425266	388	3	May	May	NNP
10_1101-2021_01_05_425266	388	4	2019	2019	CD
10_1101-2021_01_05_425266	388	5	.	.	.
10_1101-2021_01_05_425266	389	1	[	[	-LRB-
10_1101-2021_01_05_425266	389	2	20	20	CD
10_1101-2021_01_05_425266	389	3	]	]	-RRB-
10_1101-2021_01_05_425266	389	4	M.	M.	NNP
10_1101-2021_01_05_425266	389	5	Baldeon	Baldeon	NNP
10_1101-2021_01_05_425266	389	6	Calisto	Calisto	NNP
10_1101-2021_01_05_425266	389	7	and	and	CC
10_1101-2021_01_05_425266	389	8	S.	S.	NNP
10_1101-2021_01_05_425266	389	9	K.	K.	NNP
10_1101-2021_01_05_425266	389	10	Lai	Lai	NNP
10_1101-2021_01_05_425266	389	11	-	-	HYPH
10_1101-2021_01_05_425266	389	12	Yuen	Yuen	NNP
10_1101-2021_01_05_425266	389	13	,	,	,
10_1101-2021_01_05_425266	389	14	“	"	``
10_1101-2021_01_05_425266	389	15	AdaEn	AdaEn	NNP
10_1101-2021_01_05_425266	389	16	-	-	HYPH
10_1101-2021_01_05_425266	389	17	Net	Net	NNP
10_1101-2021_01_05_425266	389	18	:	:	:
10_1101-2021_01_05_425266	389	19	An	an	DT
10_1101-2021_01_05_425266	389	20	ensemble	ensemble	NN
10_1101-2021_01_05_425266	389	21	of	of	IN
10_1101-2021_01_05_425266	389	22	adaptive	adaptive	JJ
10_1101-2021_01_05_425266	389	23	2D–3D	2D–3D	.
10_1101-2021_01_05_425266	389	24	Fully	fully	RB
10_1101-2021_01_05_425266	389	25	Convolutional	Convolutional	NNP
10_1101-2021_01_05_425266	389	26	Networks	Networks	NNPS
10_1101-2021_01_05_425266	389	27	for	for	IN
10_1101-2021_01_05_425266	389	28	medical	medical	JJ
10_1101-2021_01_05_425266	389	29	image	image	NN
10_1101-2021_01_05_425266	389	30	segmentation	segmentation	NN
10_1101-2021_01_05_425266	389	31	,	,	,
10_1101-2021_01_05_425266	389	32	”	"	''
10_1101-2021_01_05_425266	389	33	Neural	Neural	NNP
10_1101-2021_01_05_425266	389	34	Networks	Networks	NNP
10_1101-2021_01_05_425266	389	35	,	,	,
10_1101-2021_01_05_425266	389	36	vol	vol	NNP
10_1101-2021_01_05_425266	389	37	.	.	.
10_1101-2021_01_05_425266	390	1	126	126	CD
10_1101-2021_01_05_425266	390	2	,	,	,
10_1101-2021_01_05_425266	390	3	pp	pp	ADD
10_1101-2021_01_05_425266	390	4	.	.	.
10_1101-2021_01_05_425266	391	1	76–94	76–94	LS
10_1101-2021_01_05_425266	391	2	,	,	,
10_1101-2021_01_05_425266	391	3	Jun.	June	NNP
10_1101-2021_01_05_425266	392	1	2020	2020	CD
10_1101-2021_01_05_425266	392	2	.	.	.
10_1101-2021_01_05_425266	393	1	[	[	-LRB-
10_1101-2021_01_05_425266	393	2	21	21	CD
10_1101-2021_01_05_425266	393	3	]	]	-RRB-
10_1101-2021_01_05_425266	393	4	K.	K.	NNP
10_1101-2021_01_05_425266	393	5	Hammouda	Hammouda	NNP
10_1101-2021_01_05_425266	393	6	,	,	,
10_1101-2021_01_05_425266	393	7	F.	F.	NNP
10_1101-2021_01_05_425266	393	8	Khalifa	Khalifa	NNP
10_1101-2021_01_05_425266	393	9	,	,	,
10_1101-2021_01_05_425266	393	10	H.	H.	NNP
10_1101-2021_01_05_425266	393	11	Abdeltawab	Abdeltawab	NNP
10_1101-2021_01_05_425266	393	12	,	,	,
10_1101-2021_01_05_425266	393	13	A.	a.	NN
10_1101-2021_01_05_425266	393	14	Elnakib	Elnakib	NNP
10_1101-2021_01_05_425266	393	15	,	,	,
10_1101-2021_01_05_425266	393	16	G.	G.	NNP
10_1101-2021_01_05_425266	393	17	A.	A.	NNP
10_1101-2021_01_05_425266	393	18	Giridharan	Giridharan	NNP
10_1101-2021_01_05_425266	393	19	,	,	,
10_1101-2021_01_05_425266	393	20	M.	M.	NNP
10_1101-2021_01_05_425266	393	21	Zhu	Zhu	NNP
10_1101-2021_01_05_425266	393	22	,	,	,
10_1101-2021_01_05_425266	393	23	C.	C.	NNP
10_1101-2021_01_05_425266	393	24	K.	K.	NNP
10_1101-2021_01_05_425266	393	25	Ng	Ng	NNP
10_1101-2021_01_05_425266	393	26	,	,	,
10_1101-2021_01_05_425266	393	27	S.	S.	NNP
10_1101-2021_01_05_425266	393	28	Dassanayaka	Dassanayaka	NNP
10_1101-2021_01_05_425266	393	29	,	,	,
10_1101-2021_01_05_425266	393	30	M.	M.	NNP
10_1101-2021_01_05_425266	393	31	Kong	Kong	NNP
10_1101-2021_01_05_425266	393	32	,	,	,
10_1101-2021_01_05_425266	393	33	H.	H.	NNP
10_1101-2021_01_05_425266	393	34	E.	E.	NNP
10_1101-2021_01_05_425266	393	35	Darwish	Darwish	NNP
10_1101-2021_01_05_425266	393	36	,	,	,
10_1101-2021_01_05_425266	393	37	T.	T.	NNP
10_1101-2021_01_05_425266	393	38	M.	M.	NNP
10_1101-2021_01_05_425266	393	39	A.	A.	NNP
10_1101-2021_01_05_425266	393	40	Mohamed	Mohamed	NNP
10_1101-2021_01_05_425266	393	41	,	,	,
10_1101-2021_01_05_425266	393	42	S.	S.	NNP
10_1101-2021_01_05_425266	393	43	P.	P.	NNP
10_1101-2021_01_05_425266	393	44	Jones	Jones	NNP
10_1101-2021_01_05_425266	393	45	,	,	,
10_1101-2021_01_05_425266	393	46	and	and	CC
10_1101-2021_01_05_425266	393	47	A.	a.	NN
10_1101-2021_01_05_425266	393	48	El	El	NNP
10_1101-2021_01_05_425266	393	49	-	-	HYPH
10_1101-2021_01_05_425266	393	50	Baz	Baz	NNP
10_1101-2021_01_05_425266	393	51	,	,	,
10_1101-2021_01_05_425266	393	52	“	"	``
10_1101-2021_01_05_425266	393	53	A	a	DT
10_1101-2021_01_05_425266	393	54	New	New	NNP
10_1101-2021_01_05_425266	393	55	Framework	Framework	NNP
10_1101-2021_01_05_425266	393	56	for	for	IN
10_1101-2021_01_05_425266	393	57	Performing	perform	VBG
10_1101-2021_01_05_425266	393	58	Cardiac	Cardiac	NNP
10_1101-2021_01_05_425266	393	59	Strain	strain	VB
10_1101-2021_01_05_425266	393	60	Analysis	analysis	NN
10_1101-2021_01_05_425266	393	61	from	from	IN
10_1101-2021_01_05_425266	393	62	Cine	Cine	NNP
10_1101-2021_01_05_425266	393	63	MRI	MRI	NNP
10_1101-2021_01_05_425266	393	64	Imaging	Imaging	NNP
10_1101-2021_01_05_425266	393	65	in	in	IN
10_1101-2021_01_05_425266	393	66	Mice	Mice	NNP
10_1101-2021_01_05_425266	393	67	,	,	,
10_1101-2021_01_05_425266	393	68	”	"	''
10_1101-2021_01_05_425266	393	69	Sci	Sci	NNP
10_1101-2021_01_05_425266	393	70	Rep	Rep	NNP
10_1101-2021_01_05_425266	393	71	,	,	,
10_1101-2021_01_05_425266	393	72	vol	vol	NNP
10_1101-2021_01_05_425266	393	73	.	.	.
10_1101-2021_01_05_425266	394	1	10	10	CD
10_1101-2021_01_05_425266	394	2	,	,	,
10_1101-2021_01_05_425266	394	3	no	no	UH
10_1101-2021_01_05_425266	394	4	.	.	.
10_1101-2021_01_05_425266	395	1	1	1	CD
10_1101-2021_01_05_425266	395	2	,	,	,
10_1101-2021_01_05_425266	395	3	p.	p.	NN
10_1101-2021_01_05_425266	395	4	7725	7725	CD
10_1101-2021_01_05_425266	395	5	,	,	,
10_1101-2021_01_05_425266	395	6	Dec.	December	NNP
10_1101-2021_01_05_425266	395	7	2020	2020	CD
10_1101-2021_01_05_425266	395	8	.	.	.
10_1101-2021_01_05_425266	396	1	[	[	-LRB-
10_1101-2021_01_05_425266	396	2	22	22	CD
10_1101-2021_01_05_425266	396	3	]	]	-RRB-
10_1101-2021_01_05_425266	396	4	E.	E.	NNP
10_1101-2021_01_05_425266	396	5	Puyol	Puyol	NNP
10_1101-2021_01_05_425266	396	6	-	-	HYPH
10_1101-2021_01_05_425266	396	7	Anton	Anton	NNP
10_1101-2021_01_05_425266	396	8	,	,	,
10_1101-2021_01_05_425266	396	9	B.	B.	NNP
10_1101-2021_01_05_425266	396	10	Ruijsink	Ruijsink	NNP
10_1101-2021_01_05_425266	396	11	,	,	,
10_1101-2021_01_05_425266	396	12	W.	W.	NNP
10_1101-2021_01_05_425266	396	13	Bai	Bai	NNP
10_1101-2021_01_05_425266	396	14	,	,	,
10_1101-2021_01_05_425266	396	15	H.	H.	NNP
10_1101-2021_01_05_425266	396	16	Langet	Langet	NNP
10_1101-2021_01_05_425266	396	17	,	,	,
10_1101-2021_01_05_425266	396	18	M.	M.	NNP
10_1101-2021_01_05_425266	396	19	De	De	NNP
10_1101-2021_01_05_425266	396	20	Craene	Craene	NNP
10_1101-2021_01_05_425266	396	21	,	,	,
10_1101-2021_01_05_425266	396	22	J.	J.	NNP
10_1101-2021_01_05_425266	397	1	A.	A.	NNP
10_1101-2021_01_05_425266	397	2	Schnabel	Schnabel	NNP
10_1101-2021_01_05_425266	397	3	,	,	,
10_1101-2021_01_05_425266	397	4	P.	P.	NNP
10_1101-2021_01_05_425266	397	5	Piro	Piro	NNP
10_1101-2021_01_05_425266	397	6	,	,	,
10_1101-2021_01_05_425266	397	7	A.	A.	NNP
10_1101-2021_01_05_425266	397	8	P.	P.	NNP
10_1101-2021_01_05_425266	397	9	King	King	NNP
10_1101-2021_01_05_425266	397	10	,	,	,
10_1101-2021_01_05_425266	397	11	and	and	CC
10_1101-2021_01_05_425266	397	12	M.	M.	NNP
10_1101-2021_01_05_425266	397	13	Sinclair	Sinclair	NNP
10_1101-2021_01_05_425266	397	14	,	,	,
10_1101-2021_01_05_425266	397	15	“	"	``
10_1101-2021_01_05_425266	397	16	Fully	fully	RB
10_1101-2021_01_05_425266	397	17	automated	automate	VBN
10_1101-2021_01_05_425266	397	18	myocardial	myocardial	JJ
10_1101-2021_01_05_425266	397	19	strain	strain	NN
10_1101-2021_01_05_425266	397	20	estimation	estimation	NN
10_1101-2021_01_05_425266	397	21	from	from	IN
10_1101-2021_01_05_425266	397	22	cine	cine	NN
10_1101-2021_01_05_425266	397	23	MRI	MRI	NNP
10_1101-2021_01_05_425266	397	24	using	use	VBG
10_1101-2021_01_05_425266	397	25	convolutional	convolutional	JJ
10_1101-2021_01_05_425266	397	26	neural	neural	JJ
10_1101-2021_01_05_425266	397	27	networks	network	NNS
10_1101-2021_01_05_425266	397	28	,	,	,
10_1101-2021_01_05_425266	397	29	”	"	''
10_1101-2021_01_05_425266	397	30	in	in	IN
10_1101-2021_01_05_425266	397	31	2018	2018	CD
10_1101-2021_01_05_425266	397	32	IEEE	IEEE	NNP
10_1101-2021_01_05_425266	397	33	15th	15th	NN
10_1101-2021_01_05_425266	397	34	International	International	NNP
10_1101-2021_01_05_425266	397	35	Symposium	Symposium	NNP
10_1101-2021_01_05_425266	397	36	on	on	IN
10_1101-2021_01_05_425266	397	37	Biomedical	Biomedical	NNP
10_1101-2021_01_05_425266	397	38	Imaging	Imaging	NNP
10_1101-2021_01_05_425266	397	39	(	(	-LRB-
10_1101-2021_01_05_425266	397	40	ISBI	ISBI	NNP
10_1101-2021_01_05_425266	397	41	2018	2018	CD
10_1101-2021_01_05_425266	397	42	)	)	-RRB-
10_1101-2021_01_05_425266	397	43	,	,	,
10_1101-2021_01_05_425266	397	44	Washington	Washington	NNP
10_1101-2021_01_05_425266	397	45	,	,	,
10_1101-2021_01_05_425266	397	46	DC	DC	NNP
10_1101-2021_01_05_425266	397	47	,	,	,
10_1101-2021_01_05_425266	397	48	2018	2018	CD
10_1101-2021_01_05_425266	397	49	,	,	,
10_1101-2021_01_05_425266	397	50	pp	pp	NNP
10_1101-2021_01_05_425266	397	51	.	.	.
10_1101-2021_01_05_425266	398	1	1139–1143	1139–1143	LS
10_1101-2021_01_05_425266	398	2	.	.	.
10_1101-2021_01_05_425266	399	1	[	[	-LRB-
10_1101-2021_01_05_425266	399	2	23	23	CD
10_1101-2021_01_05_425266	399	3	]	]	-RRB-
10_1101-2021_01_05_425266	399	4	C.	C.	NNP
10_1101-2021_01_05_425266	399	5	Qin	Qin	NNP
10_1101-2021_01_05_425266	399	6	,	,	,
10_1101-2021_01_05_425266	399	7	W.	W.	NNP
10_1101-2021_01_05_425266	399	8	Bai	Bai	NNP
10_1101-2021_01_05_425266	399	9	,	,	,
10_1101-2021_01_05_425266	399	10	J.	J.	NNP
10_1101-2021_01_05_425266	399	11	Schlemper	Schlemper	NNP
10_1101-2021_01_05_425266	399	12	,	,	,
10_1101-2021_01_05_425266	399	13	S.	S.	NNP
10_1101-2021_01_05_425266	399	14	E.	E.	NNP
10_1101-2021_01_05_425266	399	15	Petersen	Petersen	NNP
10_1101-2021_01_05_425266	399	16	,	,	,
10_1101-2021_01_05_425266	399	17	S.	S.	NNP
10_1101-2021_01_05_425266	399	18	K.	K.	NNP
10_1101-2021_01_05_425266	399	19	Piechnik	Piechnik	NNP
10_1101-2021_01_05_425266	399	20	,	,	,
10_1101-2021_01_05_425266	399	21	S.	S.	NNP
10_1101-2021_01_05_425266	399	22	Neubauer	Neubauer	NNP
10_1101-2021_01_05_425266	399	23	,	,	,
10_1101-2021_01_05_425266	399	24	and	and	CC
10_1101-2021_01_05_425266	399	25	D.	D.	NNP
10_1101-2021_01_05_425266	399	26	Rueckert	Rueckert	NNP
10_1101-2021_01_05_425266	399	27	,	,	,
10_1101-2021_01_05_425266	399	28	“	"	``
10_1101-2021_01_05_425266	399	29	Joint	Joint	NNP
10_1101-2021_01_05_425266	399	30	Learning	Learning	NNP
10_1101-2021_01_05_425266	399	31	of	of	IN
10_1101-2021_01_05_425266	399	32	Motion	Motion	NNP
10_1101-2021_01_05_425266	399	33	Estimation	Estimation	NNP
10_1101-2021_01_05_425266	399	34	and	and	CC
10_1101-2021_01_05_425266	399	35	Segmentation	segmentation	NN
10_1101-2021_01_05_425266	399	36	for	for	IN
10_1101-2021_01_05_425266	399	37	Cardiac	Cardiac	NNP
10_1101-2021_01_05_425266	399	38	MR	MR	NNP
10_1101-2021_01_05_425266	399	39	Image	Image	NNP
10_1101-2021_01_05_425266	399	40	Sequences	Sequences	NNPS
10_1101-2021_01_05_425266	399	41	,	,	,
10_1101-2021_01_05_425266	399	42	”	"	''
10_1101-2021_01_05_425266	399	43	arXiv:1806.04066	arXiv:1806.04066	NNP
10_1101-2021_01_05_425266	399	44	[	[	-LRB-
10_1101-2021_01_05_425266	399	45	cs	cs	NNP
10_1101-2021_01_05_425266	399	46	]	]	-RRB-
10_1101-2021_01_05_425266	399	47	,	,	,
10_1101-2021_01_05_425266	399	48	Jun.	June	NNP
10_1101-2021_01_05_425266	400	1	2018	2018	CD
10_1101-2021_01_05_425266	400	2	.	.	.
10_1101-2021_01_05_425266	401	1	[	[	-LRB-
10_1101-2021_01_05_425266	401	2	24	24	CD
10_1101-2021_01_05_425266	401	3	]	]	-RRB-
10_1101-2021_01_05_425266	401	4	M.	M.	NNP
10_1101-2021_01_05_425266	401	5	Qiao	Qiao	NNP
10_1101-2021_01_05_425266	401	6	,	,	,
10_1101-2021_01_05_425266	401	7	Y.	Y.	NNP
10_1101-2021_01_05_425266	401	8	Wang	Wang	NNP
10_1101-2021_01_05_425266	401	9	,	,	,
10_1101-2021_01_05_425266	401	10	Y.	Y.	NNP
10_1101-2021_01_05_425266	401	11	Guo	Guo	NNP
10_1101-2021_01_05_425266	401	12	,	,	,
10_1101-2021_01_05_425266	401	13	L.	L.	NNP
10_1101-2021_01_05_425266	401	14	Huang	Huang	NNP
10_1101-2021_01_05_425266	401	15	,	,	,
10_1101-2021_01_05_425266	401	16	L.	L.	NNP
10_1101-2021_01_05_425266	401	17	Xia	Xia	NNP
10_1101-2021_01_05_425266	401	18	,	,	,
10_1101-2021_01_05_425266	401	19	and	and	CC
10_1101-2021_01_05_425266	401	20	Q.	Q.	NNP
10_1101-2021_01_05_425266	401	21	Tao	Tao	NNP
10_1101-2021_01_05_425266	401	22	,	,	,
10_1101-2021_01_05_425266	401	23	“	"	``
10_1101-2021_01_05_425266	401	24	Temporally	temporally	RB
10_1101-2021_01_05_425266	401	25	coherent	coherent	JJ
10_1101-2021_01_05_425266	401	26	cardiac	cardiac	JJ
10_1101-2021_01_05_425266	401	27	motion	motion	NN
10_1101-2021_01_05_425266	401	28	tracking	tracking	NN
10_1101-2021_01_05_425266	401	29	from	from	IN
10_1101-2021_01_05_425266	401	30	cine	cine	NN
10_1101-2021_01_05_425266	401	31	MRI	MRI	NNP
10_1101-2021_01_05_425266	401	32	:	:	:
10_1101-2021_01_05_425266	401	33	Traditional	traditional	JJ
10_1101-2021_01_05_425266	401	34	registration	registration	NN
10_1101-2021_01_05_425266	401	35	method	method	NN
10_1101-2021_01_05_425266	401	36	and	and	CC
10_1101-2021_01_05_425266	401	37	modern	modern	JJ
10_1101-2021_01_05_425266	401	38	CNN	CNN	NNP
10_1101-2021_01_05_425266	401	39	method	method	NN
10_1101-2021_01_05_425266	401	40	,	,	,
10_1101-2021_01_05_425266	401	41	”	"	''
10_1101-2021_01_05_425266	401	42	Med	Med	NNP
10_1101-2021_01_05_425266	401	43	.	.	.
10_1101-2021_01_05_425266	402	1	Phys	Phys	NNP
10_1101-2021_01_05_425266	402	2	.	.	NNP
10_1101-2021_01_05_425266	402	3	,	,	,
10_1101-2021_01_05_425266	402	4	vol	vol	NNP
10_1101-2021_01_05_425266	402	5	.	.	.
10_1101-2021_01_05_425266	403	1	47	47	CD
10_1101-2021_01_05_425266	403	2	,	,	,
10_1101-2021_01_05_425266	403	3	no	no	UH
10_1101-2021_01_05_425266	403	4	.	.	.
10_1101-2021_01_05_425266	404	1	9	9	CD
10_1101-2021_01_05_425266	404	2	,	,	,
10_1101-2021_01_05_425266	404	3	pp	pp	NNP
10_1101-2021_01_05_425266	404	4	.	.	.
10_1101-2021_01_05_425266	405	1	4189–4198	4189–4198	CD
10_1101-2021_01_05_425266	405	2	,	,	,
10_1101-2021_01_05_425266	405	3	Sep.	September	NNP
10_1101-2021_01_05_425266	405	4	2020	2020	CD
10_1101-2021_01_05_425266	405	5	.	.	.
10_1101-2021_01_05_425266	406	1	[	[	-LRB-
10_1101-2021_01_05_425266	406	2	25	25	CD
10_1101-2021_01_05_425266	406	3	]	]	-RRB-
10_1101-2021_01_05_425266	406	4	H.	H.	NNP
10_1101-2021_01_05_425266	406	5	Yu	Yu	NNP
10_1101-2021_01_05_425266	406	6	,	,	,
10_1101-2021_01_05_425266	406	7	S.	S.	NNP
10_1101-2021_01_05_425266	406	8	Sun	Sun	NNP
10_1101-2021_01_05_425266	406	9	,	,	,
10_1101-2021_01_05_425266	406	10	H.	H.	NNP
10_1101-2021_01_05_425266	406	11	Yu	Yu	NNP
10_1101-2021_01_05_425266	406	12	,	,	,
10_1101-2021_01_05_425266	406	13	X.	X.	NNP
10_1101-2021_01_05_425266	406	14	Chen	Chen	NNP
10_1101-2021_01_05_425266	406	15	,	,	,
10_1101-2021_01_05_425266	406	16	H.	H.	NNP
10_1101-2021_01_05_425266	406	17	Shi	Shi	NNP
10_1101-2021_01_05_425266	406	18	,	,	,
10_1101-2021_01_05_425266	406	19	T.	T.	NNP
10_1101-2021_01_05_425266	406	20	S.	S.	NNP
10_1101-2021_01_05_425266	406	21	Huang	Huang	NNP
10_1101-2021_01_05_425266	406	22	,	,	,
10_1101-2021_01_05_425266	406	23	and	and	CC
10_1101-2021_01_05_425266	406	24	T.	T.	NNP
10_1101-2021_01_05_425266	406	25	Chen	Chen	NNP
10_1101-2021_01_05_425266	406	26	,	,	,
10_1101-2021_01_05_425266	406	27	“	"	``
10_1101-2021_01_05_425266	406	28	FOAL	FOAL	NNP
10_1101-2021_01_05_425266	406	29	:	:	:
10_1101-2021_01_05_425266	406	30	Fast	fast	JJ
10_1101-2021_01_05_425266	406	31	Online	Online	NNP
10_1101-2021_01_05_425266	406	32	Adaptive	Adaptive	NNP
10_1101-2021_01_05_425266	406	33	Learning	Learning	NNP
10_1101-2021_01_05_425266	406	34	for	for	IN
10_1101-2021_01_05_425266	406	35	Cardiac	Cardiac	NNP
10_1101-2021_01_05_425266	406	36	Motion	Motion	NNP
10_1101-2021_01_05_425266	406	37	Estimation	Estimation	NNP
10_1101-2021_01_05_425266	406	38	,	,	,
10_1101-2021_01_05_425266	406	39	”	"	''
10_1101-2021_01_05_425266	406	40	in	in	IN
10_1101-2021_01_05_425266	406	41	2020	2020	CD
10_1101-2021_01_05_425266	406	42	IEEE	IEEE	NNP
10_1101-2021_01_05_425266	406	43	/	/	SYM
10_1101-2021_01_05_425266	406	44	CVF	CVF	NNP
10_1101-2021_01_05_425266	406	45	Conference	Conference	NNP
10_1101-2021_01_05_425266	406	46	on	on	IN
10_1101-2021_01_05_425266	406	47	Computer	Computer	NNP
10_1101-2021_01_05_425266	406	48	Vision	Vision	NNP
10_1101-2021_01_05_425266	406	49	and	and	CC
10_1101-2021_01_05_425266	406	50	Pattern	Pattern	NNP
10_1101-2021_01_05_425266	406	51	Recognition	Recognition	NNP
10_1101-2021_01_05_425266	406	52	(	(	-LRB-
10_1101-2021_01_05_425266	406	53	CVPR	CVPR	NNP
10_1101-2021_01_05_425266	406	54	)	)	-RRB-
10_1101-2021_01_05_425266	406	55	,	,	,
10_1101-2021_01_05_425266	406	56	Seattle	Seattle	NNP
10_1101-2021_01_05_425266	406	57	,	,	,
10_1101-2021_01_05_425266	406	58	WA	WA	NNP
10_1101-2021_01_05_425266	406	59	,	,	,
10_1101-2021_01_05_425266	406	60	USA	USA	NNP
10_1101-2021_01_05_425266	406	61	,	,	,
10_1101-2021_01_05_425266	406	62	2020	2020	CD
10_1101-2021_01_05_425266	406	63	,	,	,
10_1101-2021_01_05_425266	406	64	pp	pp	NNP
10_1101-2021_01_05_425266	406	65	.	.	.
10_1101-2021_01_05_425266	407	1	4312–4322	4312–4322	CD
10_1101-2021_01_05_425266	407	2	.	.	.
10_1101-2021_01_05_425266	408	1	[	[	-LRB-
10_1101-2021_01_05_425266	408	2	26	26	CD
10_1101-2021_01_05_425266	408	3	]	]	-RRB-
10_1101-2021_01_05_425266	408	4	P.	P.	NNP
10_1101-2021_01_05_425266	408	5	Chen	Chen	NNP
10_1101-2021_01_05_425266	408	6	,	,	,
10_1101-2021_01_05_425266	408	7	X.	X.	NNP
10_1101-2021_01_05_425266	408	8	Chen	Chen	NNP
10_1101-2021_01_05_425266	408	9	,	,	,
10_1101-2021_01_05_425266	408	10	E.	E.	NNP
10_1101-2021_01_05_425266	408	11	Z.	Z.	NNP
10_1101-2021_01_05_425266	408	12	Chen	Chen	NNP
10_1101-2021_01_05_425266	408	13	,	,	,
10_1101-2021_01_05_425266	408	14	H.	H.	NNP
10_1101-2021_01_05_425266	408	15	Yu	Yu	NNP
10_1101-2021_01_05_425266	408	16	,	,	,
10_1101-2021_01_05_425266	408	17	T.	T.	NNP
10_1101-2021_01_05_425266	408	18	Chen	Chen	NNP
10_1101-2021_01_05_425266	408	19	,	,	,
10_1101-2021_01_05_425266	408	20	and	and	CC
10_1101-2021_01_05_425266	408	21	S.	S.	NNP
10_1101-2021_01_05_425266	408	22	Sun	Sun	NNP
10_1101-2021_01_05_425266	408	23	,	,	,
10_1101-2021_01_05_425266	408	24	“	"	``
10_1101-2021_01_05_425266	408	25	Anatomy-	Anatomy-	NNP
10_1101-2021_01_05_425266	408	26	Aware	Aware	NNP
10_1101-2021_01_05_425266	408	27	Cardiac	Cardiac	NNP
10_1101-2021_01_05_425266	408	28	Motion	Motion	NNP
10_1101-2021_01_05_425266	408	29	Estimation	Estimation	NNP
10_1101-2021_01_05_425266	408	30	,	,	,
10_1101-2021_01_05_425266	408	31	”	"	''
10_1101-2021_01_05_425266	408	32	arXiv:2008.07579	arxiv:2008.07579	NN
10_1101-2021_01_05_425266	408	33	[	[	-LRB-
10_1101-2021_01_05_425266	408	34	cs	cs	NNP
10_1101-2021_01_05_425266	408	35	,	,	,
10_1101-2021_01_05_425266	408	36	eess	eess	JJ
10_1101-2021_01_05_425266	408	37	]	]	-RRB-
10_1101-2021_01_05_425266	408	38	,	,	,
10_1101-2021_01_05_425266	408	39	Aug.	August	NNP
10_1101-2021_01_05_425266	408	40	2020	2020	CD
10_1101-2021_01_05_425266	408	41	.	.	.
10_1101-2021_01_05_425266	409	1	[	[	-LRB-
10_1101-2021_01_05_425266	409	2	27	27	CD
10_1101-2021_01_05_425266	409	3	]	]	-RRB-
10_1101-2021_01_05_425266	409	4	B.	B.	NNP
10_1101-2021_01_05_425266	409	5	D.	D.	NNP
10_1101-2021_01_05_425266	409	6	de	de	NNP
10_1101-2021_01_05_425266	409	7	Vos	Vos	NNP
10_1101-2021_01_05_425266	409	8	,	,	,
10_1101-2021_01_05_425266	409	9	F.	F.	NNP
10_1101-2021_01_05_425266	409	10	F.	F.	NNP
10_1101-2021_01_05_425266	409	11	Berendsen	Berendsen	NNP
10_1101-2021_01_05_425266	409	12	,	,	,
10_1101-2021_01_05_425266	409	13	M.	M.	NNP
10_1101-2021_01_05_425266	409	14	A.	A.	NNP
10_1101-2021_01_05_425266	409	15	Viergever	Viergever	NNP
10_1101-2021_01_05_425266	409	16	,	,	,
10_1101-2021_01_05_425266	409	17	M.	M.	NNP
10_1101-2021_01_05_425266	409	18	Staring	Staring	NNP
10_1101-2021_01_05_425266	409	19	,	,	,
10_1101-2021_01_05_425266	409	20	and	and	CC
10_1101-2021_01_05_425266	409	21	I.	I.	NNP
10_1101-2021_01_05_425266	409	22	Išgum	Išgum	NNP
10_1101-2021_01_05_425266	409	23	,	,	,
10_1101-2021_01_05_425266	409	24	“	"	``
10_1101-2021_01_05_425266	409	25	End	end	NN
10_1101-2021_01_05_425266	409	26	-	-	HYPH
10_1101-2021_01_05_425266	409	27	to	to	IN
10_1101-2021_01_05_425266	409	28	-	-	HYPH
10_1101-2021_01_05_425266	409	29	End	end	NN
10_1101-2021_01_05_425266	409	30	Unsupervised	unsupervise	VBN
10_1101-2021_01_05_425266	409	31	Deformable	deformable	JJ
10_1101-2021_01_05_425266	409	32	Image	Image	NNP
10_1101-2021_01_05_425266	409	33	Registration	registration	NN
10_1101-2021_01_05_425266	409	34	with	with	IN
10_1101-2021_01_05_425266	409	35	a	a	DT
10_1101-2021_01_05_425266	409	36	Convolutional	Convolutional	NNP
10_1101-2021_01_05_425266	409	37	Neural	Neural	NNP
10_1101-2021_01_05_425266	409	38	Network	Network	NNP
10_1101-2021_01_05_425266	409	39	,	,	,
10_1101-2021_01_05_425266	409	40	”	"	''
10_1101-2021_01_05_425266	409	41	arXiv:1704.06065	arxiv:1704.06065	VB
10_1101-2021_01_05_425266	409	42	[	[	-LRB-
10_1101-2021_01_05_425266	409	43	cs	cs	NNP
10_1101-2021_01_05_425266	409	44	]	]	-RRB-
10_1101-2021_01_05_425266	409	45	,	,	,
10_1101-2021_01_05_425266	409	46	vol	vol	NNP
10_1101-2021_01_05_425266	409	47	.	.	.
10_1101-2021_01_05_425266	410	1	10553	10553	CD
10_1101-2021_01_05_425266	410	2	,	,	,
10_1101-2021_01_05_425266	410	3	pp	pp	NNP
10_1101-2021_01_05_425266	410	4	.	.	.
10_1101-2021_01_05_425266	411	1	204–212	204–212	CD
10_1101-2021_01_05_425266	411	2	,	,	,
10_1101-2021_01_05_425266	411	3	2017	2017	CD
10_1101-2021_01_05_425266	411	4	.	.	.
10_1101-2021_01_05_425266	412	1	[	[	-LRB-
10_1101-2021_01_05_425266	412	2	28	28	CD
10_1101-2021_01_05_425266	412	3	]	]	-RRB-
10_1101-2021_01_05_425266	412	4	M.	M.	NNP
10_1101-2021_01_05_425266	412	5	A.	A.	NNP
10_1101-2021_01_05_425266	412	6	Morales	Morales	NNP
10_1101-2021_01_05_425266	412	7	,	,	,
10_1101-2021_01_05_425266	412	8	D.	D.	NNP
10_1101-2021_01_05_425266	412	9	Izquierdo	Izquierdo	NNP
10_1101-2021_01_05_425266	412	10	-	-	HYPH
10_1101-2021_01_05_425266	412	11	Garcia	Garcia	NNP
10_1101-2021_01_05_425266	412	12	,	,	,
10_1101-2021_01_05_425266	412	13	I.	I.	NNP
10_1101-2021_01_05_425266	412	14	Aganj	Aganj	NNP
10_1101-2021_01_05_425266	412	15	,	,	,
10_1101-2021_01_05_425266	412	16	J.	J.	NNP
10_1101-2021_01_05_425266	412	17	Kalpathy	Kalpathy	NNP
10_1101-2021_01_05_425266	412	18	-	-	HYPH
10_1101-2021_01_05_425266	412	19	Cramer	Cramer	NNP
10_1101-2021_01_05_425266	412	20	,	,	,
10_1101-2021_01_05_425266	412	21	B.	B.	NNP
10_1101-2021_01_05_425266	412	22	R.	R.	NNP
10_1101-2021_01_05_425266	412	23	Rosen	Rosen	NNP
10_1101-2021_01_05_425266	412	24	,	,	,
10_1101-2021_01_05_425266	412	25	and	and	CC
10_1101-2021_01_05_425266	412	26	C.	C.	NNP
10_1101-2021_01_05_425266	412	27	Catana	Catana	NNP
10_1101-2021_01_05_425266	412	28	,	,	,
10_1101-2021_01_05_425266	412	29	“	"	``
10_1101-2021_01_05_425266	412	30	Implementation	implementation	NN
10_1101-2021_01_05_425266	412	31	and	and	CC
10_1101-2021_01_05_425266	412	32	Validation	validation	NN
10_1101-2021_01_05_425266	412	33	of	of	IN
10_1101-2021_01_05_425266	412	34	a	a	DT
10_1101-2021_01_05_425266	412	35	Three-	Three-	NNP
10_1101-2021_01_05_425266	412	36	dimensional	dimensional	JJ
10_1101-2021_01_05_425266	412	37	Cardiac	Cardiac	NNP
10_1101-2021_01_05_425266	412	38	Motion	Motion	NNP
10_1101-2021_01_05_425266	412	39	Estimation	Estimation	NNP
10_1101-2021_01_05_425266	412	40	Network	Network	NNP
10_1101-2021_01_05_425266	412	41	,	,	,
10_1101-2021_01_05_425266	412	42	”	"	''
10_1101-2021_01_05_425266	412	43	Radiology	radiology	NN
10_1101-2021_01_05_425266	412	44	:	:	:
10_1101-2021_01_05_425266	412	45	Artificial	Artificial	NNP
10_1101-2021_01_05_425266	412	46	Intelligence	Intelligence	NNP
10_1101-2021_01_05_425266	412	47	,	,	,
10_1101-2021_01_05_425266	412	48	vol	vol	NNP
10_1101-2021_01_05_425266	412	49	.	.	.
10_1101-2021_01_05_425266	413	1	1	1	LS
10_1101-2021_01_05_425266	413	2	,	,	,
10_1101-2021_01_05_425266	413	3	no	no	UH
10_1101-2021_01_05_425266	413	4	.	.	.
10_1101-2021_01_05_425266	414	1	4	4	CD
10_1101-2021_01_05_425266	414	2	,	,	,
10_1101-2021_01_05_425266	414	3	p.	p.	NN
10_1101-2021_01_05_425266	414	4	e180080	e180080	NNP
10_1101-2021_01_05_425266	414	5	,	,	,
10_1101-2021_01_05_425266	414	6	Jul.	July	NNP
10_1101-2021_01_05_425266	415	1	2019	2019	CD
10_1101-2021_01_05_425266	415	2	.	.	.
10_1101-2021_01_05_425266	416	1	[	[	-LRB-
10_1101-2021_01_05_425266	416	2	29	29	CD
10_1101-2021_01_05_425266	416	3	]	]	-RRB-
10_1101-2021_01_05_425266	416	4	A.	a.	NN
10_1101-2021_01_05_425266	416	5	Østvik	Østvik	NNP
10_1101-2021_01_05_425266	416	6	,	,	,
10_1101-2021_01_05_425266	416	7	E.	E.	NNP
10_1101-2021_01_05_425266	416	8	Smistad	Smistad	NNP
10_1101-2021_01_05_425266	416	9	,	,	,
10_1101-2021_01_05_425266	416	10	T.	T.	NNP
10_1101-2021_01_05_425266	416	11	Espeland	Espeland	NNP
10_1101-2021_01_05_425266	416	12	,	,	,
10_1101-2021_01_05_425266	416	13	E.	E.	NNP
10_1101-2021_01_05_425266	416	14	A.	a.	NN
10_1101-2021_01_05_425266	416	15	R.	R.	NNP
10_1101-2021_01_05_425266	416	16	Berg	Berg	NNP
10_1101-2021_01_05_425266	416	17	,	,	,
10_1101-2021_01_05_425266	416	18	and	and	CC
10_1101-2021_01_05_425266	416	19	L.	L.	NNP
10_1101-2021_01_05_425266	416	20	Lovstakken	Lovstakken	NNP
10_1101-2021_01_05_425266	416	21	,	,	,
10_1101-2021_01_05_425266	416	22	“	"	``
10_1101-2021_01_05_425266	416	23	Automatic	automatic	JJ
10_1101-2021_01_05_425266	416	24	Myocardial	Myocardial	NNP
10_1101-2021_01_05_425266	416	25	Strain	Strain	NNP
10_1101-2021_01_05_425266	416	26	Imaging	Imaging	NNP
10_1101-2021_01_05_425266	416	27	in	in	IN
10_1101-2021_01_05_425266	416	28	Echocardiography	Echocardiography	NNP
10_1101-2021_01_05_425266	416	29	Using	Using	NNP
10_1101-2021_01_05_425266	416	30	Deep	Deep	NNP
10_1101-2021_01_05_425266	416	31	Learning	Learning	NNP
10_1101-2021_01_05_425266	416	32	,	,	,
10_1101-2021_01_05_425266	416	33	”	"	''
10_1101-2021_01_05_425266	416	34	in	in	IN
10_1101-2021_01_05_425266	416	35	Deep	Deep	NNP
10_1101-2021_01_05_425266	416	36	Learning	Learning	NNP
10_1101-2021_01_05_425266	416	37	in	in	IN
10_1101-2021_01_05_425266	416	38	Medical	Medical	NNP
10_1101-2021_01_05_425266	416	39	Image	Image	NNP
10_1101-2021_01_05_425266	416	40	Analysis	Analysis	NNP
10_1101-2021_01_05_425266	416	41	and	and	CC
10_1101-2021_01_05_425266	416	42	Multimodal	Multimodal	NNP
10_1101-2021_01_05_425266	416	43	Learning	Learning	NNP
10_1101-2021_01_05_425266	416	44	for	for	IN
10_1101-2021_01_05_425266	416	45	Clinical	Clinical	NNP
10_1101-2021_01_05_425266	416	46	Decision	Decision	NNP
10_1101-2021_01_05_425266	416	47	Support	Support	NNP
10_1101-2021_01_05_425266	416	48	,	,	,
10_1101-2021_01_05_425266	416	49	vol	vol	NNP
10_1101-2021_01_05_425266	416	50	.	.	.
10_1101-2021_01_05_425266	417	1	11045	11045	CD
10_1101-2021_01_05_425266	417	2	,	,	,
10_1101-2021_01_05_425266	417	3	D.	D.	NNP
10_1101-2021_01_05_425266	417	4	Stoyanov	Stoyanov	NNP
10_1101-2021_01_05_425266	417	5	,	,	,
10_1101-2021_01_05_425266	417	6	Z.	Z.	NNP
10_1101-2021_01_05_425266	417	7	Taylor	Taylor	NNP
10_1101-2021_01_05_425266	417	8	,	,	,
10_1101-2021_01_05_425266	417	9	G.	G.	NNP
10_1101-2021_01_05_425266	417	10	Carneiro	Carneiro	NNP
10_1101-2021_01_05_425266	417	11	,	,	,
10_1101-2021_01_05_425266	417	12	T.	T.	NNP
10_1101-2021_01_05_425266	417	13	Syeda	Syeda	NNP
10_1101-2021_01_05_425266	417	14	-	-	HYPH
10_1101-2021_01_05_425266	417	15	Mahmood	Mahmood	NNP
10_1101-2021_01_05_425266	417	16	,	,	,
10_1101-2021_01_05_425266	417	17	A.	a.	NN
10_1101-2021_01_05_425266	417	18	Martel	Martel	NNP
10_1101-2021_01_05_425266	417	19	,	,	,
10_1101-2021_01_05_425266	417	20	L.	L.	NNP
10_1101-2021_01_05_425266	417	21	Maier	Maier	NNP
10_1101-2021_01_05_425266	417	22	-	-	HYPH
10_1101-2021_01_05_425266	417	23	Hein	Hein	NNP
10_1101-2021_01_05_425266	417	24	,	,	,
10_1101-2021_01_05_425266	417	25	J.	J.	NNP
10_1101-2021_01_05_425266	417	26	M.	M.	NNP
10_1101-2021_01_05_425266	417	27	R.	R.	NNP
10_1101-2021_01_05_425266	417	28	S.	S.	NNP
10_1101-2021_01_05_425266	417	29	Tavares	Tavares	NNP
10_1101-2021_01_05_425266	417	30	,	,	,
10_1101-2021_01_05_425266	417	31	A.	a.	NN
10_1101-2021_01_05_425266	417	32	Bradley	Bradley	NNP
10_1101-2021_01_05_425266	417	33	,	,	,
10_1101-2021_01_05_425266	417	34	J.	J.	NNP
10_1101-2021_01_05_425266	417	35	P.	P.	NNP
10_1101-2021_01_05_425266	417	36	Papa	Papa	NNP
10_1101-2021_01_05_425266	417	37	,	,	,
10_1101-2021_01_05_425266	417	38	V.	V.	NNP
10_1101-2021_01_05_425266	417	39	Belagiannis	Belagiannis	NNP
10_1101-2021_01_05_425266	417	40	,	,	,
10_1101-2021_01_05_425266	417	41	J.	J.	NNP
10_1101-2021_01_05_425266	417	42	C.	C.	NNP
10_1101-2021_01_05_425266	417	43	Nascimento	Nascimento	NNP
10_1101-2021_01_05_425266	417	44	,	,	,
10_1101-2021_01_05_425266	417	45	Z.	Z.	NNP
10_1101-2021_01_05_425266	417	46	Lu	Lu	NNP
10_1101-2021_01_05_425266	417	47	,	,	,
10_1101-2021_01_05_425266	417	48	S.	S.	NNP
10_1101-2021_01_05_425266	417	49	Conjeti	Conjeti	NNP
10_1101-2021_01_05_425266	417	50	,	,	,
10_1101-2021_01_05_425266	417	51	M.	M.	NNP
10_1101-2021_01_05_425266	417	52	Moradi	Moradi	NNP
10_1101-2021_01_05_425266	417	53	,	,	,
10_1101-2021_01_05_425266	417	54	H.	H.	NNP
10_1101-2021_01_05_425266	417	55	Greenspan	Greenspan	NNP
10_1101-2021_01_05_425266	417	56	,	,	,
10_1101-2021_01_05_425266	417	57	and	and	CC
10_1101-2021_01_05_425266	417	58	A.	A.	NNP
10_1101-2021_01_05_425266	417	59	Madabhushi	Madabhushi	NNP
10_1101-2021_01_05_425266	417	60	,	,	,
10_1101-2021_01_05_425266	417	61	Eds	Eds	NNP
10_1101-2021_01_05_425266	417	62	.	.	.
10_1101-2021_01_05_425266	418	1	Cham	Cham	NNP
10_1101-2021_01_05_425266	418	2	:	:	:
10_1101-2021_01_05_425266	418	3	Springer	Springer	NNP
10_1101-2021_01_05_425266	418	4	International	International	NNP
10_1101-2021_01_05_425266	418	5	Publishing	Publishing	NNP
10_1101-2021_01_05_425266	418	6	,	,	,
10_1101-2021_01_05_425266	418	7	2018	2018	CD
10_1101-2021_01_05_425266	418	8	,	,	,
10_1101-2021_01_05_425266	418	9	pp	pp	NNP
10_1101-2021_01_05_425266	418	10	.	.	.
10_1101-2021_01_05_425266	419	1	309–316	309–316	CD
10_1101-2021_01_05_425266	419	2	.	.	.
10_1101-2021_01_05_425266	420	1	[	[	-LRB-
10_1101-2021_01_05_425266	420	2	30	30	CD
10_1101-2021_01_05_425266	420	3	]	]	-RRB-
10_1101-2021_01_05_425266	420	4	J.-U.	J.-U.	NNP
10_1101-2021_01_05_425266	421	1	Voigt	Voigt	NNP
10_1101-2021_01_05_425266	421	2	,	,	,
10_1101-2021_01_05_425266	421	3	G.	G.	NNP
10_1101-2021_01_05_425266	421	4	Pedrizzetti	Pedrizzetti	NNP
10_1101-2021_01_05_425266	421	5	,	,	,
10_1101-2021_01_05_425266	421	6	P.	P.	NNP
10_1101-2021_01_05_425266	421	7	Lysyansky	Lysyansky	NNP
10_1101-2021_01_05_425266	421	8	,	,	,
10_1101-2021_01_05_425266	421	9	T.	T.	NNP
10_1101-2021_01_05_425266	421	10	H.	H.	NNP
10_1101-2021_01_05_425266	421	11	Marwick	Marwick	NNP
10_1101-2021_01_05_425266	421	12	,	,	,
10_1101-2021_01_05_425266	421	13	H.	H.	NNP
10_1101-2021_01_05_425266	421	14	Houle	Houle	NNP
10_1101-2021_01_05_425266	421	15	,	,	,
10_1101-2021_01_05_425266	421	16	R.	R.	NNP
10_1101-2021_01_05_425266	421	17	Baumann	Baumann	NNP
10_1101-2021_01_05_425266	421	18	,	,	,
10_1101-2021_01_05_425266	421	19	S.	S.	NNP
10_1101-2021_01_05_425266	421	20	Pedri	Pedri	NNP
10_1101-2021_01_05_425266	421	21	,	,	,
10_1101-2021_01_05_425266	421	22	Y.	Y.	NNP
10_1101-2021_01_05_425266	421	23	Ito	Ito	NNP
10_1101-2021_01_05_425266	421	24	,	,	,
10_1101-2021_01_05_425266	421	25	Y.	Y.	NNP
10_1101-2021_01_05_425266	421	26	Abe	Abe	NNP
10_1101-2021_01_05_425266	421	27	,	,	,
10_1101-2021_01_05_425266	421	28	S.	S.	NNP
10_1101-2021_01_05_425266	421	29	Metz	Metz	NNP
10_1101-2021_01_05_425266	421	30	,	,	,
10_1101-2021_01_05_425266	421	31	J.	J.	NNP
10_1101-2021_01_05_425266	421	32	H.	H.	NNP
10_1101-2021_01_05_425266	421	33	Song	Song	NNP
10_1101-2021_01_05_425266	421	34	,	,	,
10_1101-2021_01_05_425266	421	35	J.	J.	NNP
10_1101-2021_01_05_425266	421	36	Hamilton	Hamilton	NNP
10_1101-2021_01_05_425266	421	37	,	,	,
10_1101-2021_01_05_425266	421	38	P.	P.	NNP
10_1101-2021_01_05_425266	421	39	P.	P.	NNP
10_1101-2021_01_05_425266	421	40	Sengupta	Sengupta	NNP
10_1101-2021_01_05_425266	421	41	,	,	,
10_1101-2021_01_05_425266	421	42	T.	T.	NNP
10_1101-2021_01_05_425266	421	43	J.	J.	NNP
10_1101-2021_01_05_425266	421	44	Kolias	Kolias	NNP
10_1101-2021_01_05_425266	421	45	,	,	,
10_1101-2021_01_05_425266	421	46	J.	J.	NNP
10_1101-2021_01_05_425266	421	47	d’Hooge	d’Hooge	NNP
10_1101-2021_01_05_425266	421	48	,	,	,
10_1101-2021_01_05_425266	421	49	G.	G.	NNP
10_1101-2021_01_05_425266	421	50	P.	P.	NNP
10_1101-2021_01_05_425266	421	51	Aurigemma	Aurigemma	NNP
10_1101-2021_01_05_425266	421	52	,	,	,
10_1101-2021_01_05_425266	421	53	J.	J.	NNP
10_1101-2021_01_05_425266	421	54	D.	D.	NNP
10_1101-2021_01_05_425266	421	55	Thomas	Thomas	NNP
10_1101-2021_01_05_425266	421	56	,	,	,
10_1101-2021_01_05_425266	421	57	and	and	CC
10_1101-2021_01_05_425266	421	58	L.	L.	NNP
10_1101-2021_01_05_425266	421	59	P.	P.	NNP
10_1101-2021_01_05_425266	421	60	Badano	Badano	NNP
10_1101-2021_01_05_425266	421	61	,	,	,
10_1101-2021_01_05_425266	421	62	“	"	``
10_1101-2021_01_05_425266	421	63	Definitions	definition	NNS
10_1101-2021_01_05_425266	421	64	for	for	IN
10_1101-2021_01_05_425266	421	65	a	a	DT
10_1101-2021_01_05_425266	421	66	common	common	JJ
10_1101-2021_01_05_425266	421	67	standard	standard	NN
10_1101-2021_01_05_425266	421	68	for	for	IN
10_1101-2021_01_05_425266	421	69	2D	2d	JJ
10_1101-2021_01_05_425266	421	70	speckle	speckle	JJ
10_1101-2021_01_05_425266	421	71	tracking	tracking	NN
10_1101-2021_01_05_425266	421	72	echocardiography	echocardiography	NN
10_1101-2021_01_05_425266	421	73	:	:	:
10_1101-2021_01_05_425266	421	74	consensus	consensus	NN
10_1101-2021_01_05_425266	421	75	document	document	NN
10_1101-2021_01_05_425266	421	76	of	of	IN
10_1101-2021_01_05_425266	421	77	the	the	DT
10_1101-2021_01_05_425266	421	78	EACVI	EACVI	NNP
10_1101-2021_01_05_425266	421	79	/	/	SYM
10_1101-2021_01_05_425266	421	80	ASE	ASE	NNP
10_1101-2021_01_05_425266	421	81	/	/	SYM
10_1101-2021_01_05_425266	421	82	Industry	Industry	NNP
10_1101-2021_01_05_425266	421	83	Task	Task	NNP
10_1101-2021_01_05_425266	421	84	Force	Force	NNP
10_1101-2021_01_05_425266	421	85	to	to	TO
10_1101-2021_01_05_425266	421	86	standardize	standardize	VB
10_1101-2021_01_05_425266	421	87	deformation	deformation	NN
10_1101-2021_01_05_425266	421	88	imaging	imaging	NN
10_1101-2021_01_05_425266	421	89	,	,	,
10_1101-2021_01_05_425266	421	90	”	"	''
10_1101-2021_01_05_425266	421	91	European	European	NNP
10_1101-2021_01_05_425266	421	92	Heart	Heart	NNP
10_1101-2021_01_05_425266	421	93	Journal	Journal	NNP
10_1101-2021_01_05_425266	421	94	-	-	HYPH
10_1101-2021_01_05_425266	421	95	Cardiovascular	Cardiovascular	NNP
10_1101-2021_01_05_425266	421	96	Imaging	Imaging	NNP
10_1101-2021_01_05_425266	421	97	,	,	,
10_1101-2021_01_05_425266	421	98	vol	vol	NNP
10_1101-2021_01_05_425266	421	99	.	.	.
10_1101-2021_01_05_425266	422	1	16	16	CD
10_1101-2021_01_05_425266	422	2	,	,	,
10_1101-2021_01_05_425266	422	3	no	no	UH
10_1101-2021_01_05_425266	422	4	.	.	.
10_1101-2021_01_05_425266	423	1	1	1	CD
10_1101-2021_01_05_425266	423	2	,	,	,
10_1101-2021_01_05_425266	423	3	pp	pp	NNP
10_1101-2021_01_05_425266	423	4	.	.	.
10_1101-2021_01_05_425266	424	1	1–11	1–11	NNP
10_1101-2021_01_05_425266	424	2	,	,	,
10_1101-2021_01_05_425266	424	3	Jan.	January	NNP
10_1101-2021_01_05_425266	424	4	2015	2015	CD
10_1101-2021_01_05_425266	424	5	.	.	.
10_1101-2021_01_05_425266	425	1	[	[	-LRB-
10_1101-2021_01_05_425266	425	2	31	31	CD
10_1101-2021_01_05_425266	425	3	]	]	-RRB-
10_1101-2021_01_05_425266	425	4	O.	O.	NNP
10_1101-2021_01_05_425266	425	5	Bernard	Bernard	NNP
10_1101-2021_01_05_425266	425	6	,	,	,
10_1101-2021_01_05_425266	425	7	A.	A.	NNP
10_1101-2021_01_05_425266	425	8	Lalande	Lalande	NNP
10_1101-2021_01_05_425266	425	9	,	,	,
10_1101-2021_01_05_425266	425	10	C.	C.	NNP
10_1101-2021_01_05_425266	425	11	Zotti	Zotti	NNP
10_1101-2021_01_05_425266	425	12	,	,	,
10_1101-2021_01_05_425266	425	13	F.	F.	NNP
10_1101-2021_01_05_425266	425	14	Cervenansky	Cervenansky	NNP
10_1101-2021_01_05_425266	425	15	,	,	,
10_1101-2021_01_05_425266	425	16	X.	X.	NNP
10_1101-2021_01_05_425266	425	17	Yang	Yang	NNP
10_1101-2021_01_05_425266	425	18	,	,	,
10_1101-2021_01_05_425266	425	19	P.-A.	P.-A.	NNP
10_1101-2021_01_05_425266	426	1	Heng	Heng	NNP
10_1101-2021_01_05_425266	426	2	,	,	,
10_1101-2021_01_05_425266	426	3	I.	I.	NNP
10_1101-2021_01_05_425266	426	4	Cetin	Cetin	NNP
10_1101-2021_01_05_425266	426	5	,	,	,
10_1101-2021_01_05_425266	426	6	K.	K.	NNP
10_1101-2021_01_05_425266	426	7	Lekadir	Lekadir	NNP
10_1101-2021_01_05_425266	426	8	,	,	,
10_1101-2021_01_05_425266	426	9	O.	O.	NNP
10_1101-2021_01_05_425266	426	10	Camara	Camara	NNP
10_1101-2021_01_05_425266	426	11	,	,	,
10_1101-2021_01_05_425266	426	12	M.	M.	NNP
10_1101-2021_01_05_425266	426	13	A.	a.	NN
10_1101-2021_01_05_425266	426	14	Gonzalez	Gonzalez	NNP
10_1101-2021_01_05_425266	426	15	Ballester	Ballester	NNP
10_1101-2021_01_05_425266	426	16	,	,	,
10_1101-2021_01_05_425266	426	17	G.	G.	NNP
10_1101-2021_01_05_425266	426	18	Sanroma	Sanroma	NNP
10_1101-2021_01_05_425266	426	19	,	,	,
10_1101-2021_01_05_425266	426	20	S.	S.	NNP
10_1101-2021_01_05_425266	426	21	Napel	Napel	NNP
10_1101-2021_01_05_425266	426	22	,	,	,
10_1101-2021_01_05_425266	426	23	S.	S.	NNP
10_1101-2021_01_05_425266	426	24	Petersen	Petersen	NNP
10_1101-2021_01_05_425266	426	25	,	,	,
10_1101-2021_01_05_425266	426	26	G.	G.	NNP
10_1101-2021_01_05_425266	426	27	Tziritas	Tziritas	NNP
10_1101-2021_01_05_425266	426	28	,	,	,
10_1101-2021_01_05_425266	426	29	E.	E.	NNP
10_1101-2021_01_05_425266	426	30	Grinias	Grinias	NNP
10_1101-2021_01_05_425266	426	31	,	,	,
10_1101-2021_01_05_425266	426	32	M.	M.	NNP
10_1101-2021_01_05_425266	426	33	Khened	Khened	NNP
10_1101-2021_01_05_425266	426	34	,	,	,
10_1101-2021_01_05_425266	426	35	V.	V.	NNP
10_1101-2021_01_05_425266	426	36	A.	A.	NNP
10_1101-2021_01_05_425266	426	37	Kollerathu	Kollerathu	NNP
10_1101-2021_01_05_425266	426	38	,	,	,
10_1101-2021_01_05_425266	426	39	G.	G.	NNP
10_1101-2021_01_05_425266	426	40	Krishnamurthi	Krishnamurthi	NNP
10_1101-2021_01_05_425266	426	41	,	,	,
10_1101-2021_01_05_425266	426	42	M.-M.	M.-M.	NNP
10_1101-2021_01_05_425266	426	43	Rohe	Rohe	NNP
10_1101-2021_01_05_425266	426	44	,	,	,
10_1101-2021_01_05_425266	426	45	X.	X.	NNP
10_1101-2021_01_05_425266	426	46	Pennec	Pennec	NNP
10_1101-2021_01_05_425266	426	47	,	,	,
10_1101-2021_01_05_425266	426	48	M.	M.	NNP
10_1101-2021_01_05_425266	426	49	Sermesant	Sermesant	NNP
10_1101-2021_01_05_425266	426	50	,	,	,
10_1101-2021_01_05_425266	426	51	F.	F.	NNP
10_1101-2021_01_05_425266	426	52	Isensee	Isensee	NNP
10_1101-2021_01_05_425266	426	53	,	,	,
10_1101-2021_01_05_425266	426	54	P.	P.	NNP
10_1101-2021_01_05_425266	426	55	Jager	Jager	NNP
10_1101-2021_01_05_425266	426	56	,	,	,
10_1101-2021_01_05_425266	426	57	K.	K.	NNP
10_1101-2021_01_05_425266	426	58	H.	H.	NNP
10_1101-2021_01_05_425266	426	59	Maier	Maier	NNP
10_1101-2021_01_05_425266	426	60	-	-	HYPH
10_1101-2021_01_05_425266	426	61	Hein	Hein	NNP
10_1101-2021_01_05_425266	426	62	,	,	,
10_1101-2021_01_05_425266	426	63	P.	P.	NNP
10_1101-2021_01_05_425266	426	64	M.	M.	NNP
10_1101-2021_01_05_425266	426	65	Full	Full	NNP
10_1101-2021_01_05_425266	426	66	,	,	,
10_1101-2021_01_05_425266	426	67	I.	I.	NNP
10_1101-2021_01_05_425266	426	68	Wolf	Wolf	NNP
10_1101-2021_01_05_425266	426	69	,	,	,
10_1101-2021_01_05_425266	426	70	S.	S.	NNP
10_1101-2021_01_05_425266	426	71	Engelhardt	Engelhardt	NNP
10_1101-2021_01_05_425266	426	72	,	,	,
10_1101-2021_01_05_425266	426	73	C.	C.	NNP
10_1101-2021_01_05_425266	426	74	F.	F.	NNP
10_1101-2021_01_05_425266	426	75	Baumgartner	Baumgartner	NNP
10_1101-2021_01_05_425266	426	76	,	,	,
10_1101-2021_01_05_425266	426	77	L.	L.	NNP
10_1101-2021_01_05_425266	426	78	M.	M.	NNP
10_1101-2021_01_05_425266	426	79	Koch	Koch	NNP
10_1101-2021_01_05_425266	426	80	,	,	,
10_1101-2021_01_05_425266	426	81	J.	J.	NNP
10_1101-2021_01_05_425266	426	82	M.	M.	NNP
10_1101-2021_01_05_425266	426	83	Wolterink	Wolterink	NNP
10_1101-2021_01_05_425266	426	84	,	,	,
10_1101-2021_01_05_425266	426	85	I.	I.	NNP
10_1101-2021_01_05_425266	426	86	Isgum	Isgum	NNP
10_1101-2021_01_05_425266	426	87	,	,	,
10_1101-2021_01_05_425266	426	88	Y.	Y.	NNP
10_1101-2021_01_05_425266	426	89	Jang	Jang	NNP
10_1101-2021_01_05_425266	426	90	,	,	,
10_1101-2021_01_05_425266	426	91	Y.	Y.	NNP
10_1101-2021_01_05_425266	426	92	Hong	Hong	NNP
10_1101-2021_01_05_425266	426	93	,	,	,
10_1101-2021_01_05_425266	426	94	J.	J.	NNP
10_1101-2021_01_05_425266	426	95	Patravali	Patravali	NNP
10_1101-2021_01_05_425266	426	96	,	,	,
10_1101-2021_01_05_425266	426	97	S.	S.	NNP
10_1101-2021_01_05_425266	426	98	Jain	Jain	NNP
10_1101-2021_01_05_425266	426	99	,	,	,
10_1101-2021_01_05_425266	426	100	O.	O.	NNP
10_1101-2021_01_05_425266	426	101	Humbert	Humbert	NNP
10_1101-2021_01_05_425266	426	102	,	,	,
10_1101-2021_01_05_425266	426	103	and	and	CC
10_1101-2021_01_05_425266	426	104	P.-M.	P.-M.	NNP
10_1101-2021_01_05_425266	426	105	Jodoin	Jodoin	NNP
10_1101-2021_01_05_425266	426	106	,	,	,
10_1101-2021_01_05_425266	426	107	“	"	``
10_1101-2021_01_05_425266	426	108	Deep	deep	JJ
10_1101-2021_01_05_425266	426	109	Learning	learning	NN
10_1101-2021_01_05_425266	426	110	Techniques	technique	NNS
10_1101-2021_01_05_425266	426	111	for	for	IN
10_1101-2021_01_05_425266	426	112	Automatic	automatic	JJ
10_1101-2021_01_05_425266	426	113	MRI	MRI	NNP
10_1101-2021_01_05_425266	426	114	Cardiac	cardiac	JJ
10_1101-2021_01_05_425266	426	115	Multi-	Multi-	NNP
10_1101-2021_01_05_425266	426	116	Structures	Structures	NNPS
10_1101-2021_01_05_425266	426	117	Segmentation	Segmentation	NNP
10_1101-2021_01_05_425266	426	118	and	and	CC
10_1101-2021_01_05_425266	426	119	Diagnosis	Diagnosis	NNP
10_1101-2021_01_05_425266	426	120	:	:	:
10_1101-2021_01_05_425266	426	121	Is	be	VBZ
10_1101-2021_01_05_425266	426	122	the	the	DT
10_1101-2021_01_05_425266	426	123	Problem	Problem	NNP
10_1101-2021_01_05_425266	426	124	Solved	solve	VBN
10_1101-2021_01_05_425266	426	125	?	?	.
10_1101-2021_01_05_425266	426	126	,	,	,
10_1101-2021_01_05_425266	426	127	”	"	''
10_1101-2021_01_05_425266	426	128	IEEE	IEEE	NNP
10_1101-2021_01_05_425266	426	129	Trans	Trans	NNPS
10_1101-2021_01_05_425266	426	130	.	.	.
10_1101-2021_01_05_425266	427	1	Med	Med	NNP
10_1101-2021_01_05_425266	427	2	.	.	.
10_1101-2021_01_05_425266	428	1	Imaging	Imaging	NNP
10_1101-2021_01_05_425266	428	2	,	,	,
10_1101-2021_01_05_425266	428	3	vol	vol	NNP
10_1101-2021_01_05_425266	428	4	.	.	.
10_1101-2021_01_05_425266	429	1	37	37	CD
10_1101-2021_01_05_425266	429	2	,	,	,
10_1101-2021_01_05_425266	429	3	no	no	UH
10_1101-2021_01_05_425266	429	4	.	.	.
10_1101-2021_01_05_425266	430	1	11	11	CD
10_1101-2021_01_05_425266	430	2	,	,	,
10_1101-2021_01_05_425266	430	3	pp	pp	NNP
10_1101-2021_01_05_425266	430	4	.	.	.
10_1101-2021_01_05_425266	431	1	2514–2525	2514–2525	CD
10_1101-2021_01_05_425266	431	2	,	,	,
10_1101-2021_01_05_425266	431	3	Nov.	November	NNP
10_1101-2021_01_05_425266	431	4	2018	2018	CD
10_1101-2021_01_05_425266	431	5	.	.	.
10_1101-2021_01_05_425266	432	1	[	[	-LRB-
10_1101-2021_01_05_425266	432	2	32	32	CD
10_1101-2021_01_05_425266	432	3	]	]	-RRB-
10_1101-2021_01_05_425266	432	4	C.	C.	NNP
10_1101-2021_01_05_425266	432	5	Tobon	Tobon	NNP
10_1101-2021_01_05_425266	432	6	-	-	HYPH
10_1101-2021_01_05_425266	432	7	Gomez	Gomez	NNP
10_1101-2021_01_05_425266	432	8	,	,	,
10_1101-2021_01_05_425266	432	9	M.	M.	NNP
10_1101-2021_01_05_425266	432	10	De	De	NNP
10_1101-2021_01_05_425266	432	11	Craene	Craene	NNP
10_1101-2021_01_05_425266	432	12	,	,	,
10_1101-2021_01_05_425266	432	13	K.	K.	NNP
10_1101-2021_01_05_425266	432	14	McLeod	McLeod	NNP
10_1101-2021_01_05_425266	432	15	,	,	,
10_1101-2021_01_05_425266	432	16	L.	L.	NNP
10_1101-2021_01_05_425266	432	17	Tautz	Tautz	NNP
10_1101-2021_01_05_425266	432	18	,	,	,
10_1101-2021_01_05_425266	432	19	W.	W.	NNP
10_1101-2021_01_05_425266	432	20	Shi	Shi	NNP
10_1101-2021_01_05_425266	432	21	,	,	,
10_1101-2021_01_05_425266	432	22	A.	a.	NN
10_1101-2021_01_05_425266	432	23	Hennemuth	Hennemuth	NNP
10_1101-2021_01_05_425266	432	24	,	,	,
10_1101-2021_01_05_425266	432	25	A.	A.	NNP
10_1101-2021_01_05_425266	432	26	Prakosa	Prakosa	NNP
10_1101-2021_01_05_425266	432	27	,	,	,
10_1101-2021_01_05_425266	432	28	H.	H.	NNP
10_1101-2021_01_05_425266	432	29	Wang	Wang	NNP
10_1101-2021_01_05_425266	432	30	,	,	,
10_1101-2021_01_05_425266	432	31	G.	G.	NNP
10_1101-2021_01_05_425266	432	32	Carr	Carr	NNP
10_1101-2021_01_05_425266	432	33	-	-	HYPH
10_1101-2021_01_05_425266	432	34	White	White	NNP
10_1101-2021_01_05_425266	432	35	,	,	,
10_1101-2021_01_05_425266	432	36	S.	S.	NNP
10_1101-2021_01_05_425266	432	37	Kapetanakis	Kapetanakis	NNP
10_1101-2021_01_05_425266	432	38	,	,	,
10_1101-2021_01_05_425266	432	39	A.	A.	NNP
10_1101-2021_01_05_425266	432	40	Lutz	Lutz	NNP
10_1101-2021_01_05_425266	432	41	,	,	,
10_1101-2021_01_05_425266	432	42	V.	V.	NNP
10_1101-2021_01_05_425266	432	43	Rasche	Rasche	NNP
10_1101-2021_01_05_425266	432	44	,	,	,
10_1101-2021_01_05_425266	432	45	T.	T.	NNP
10_1101-2021_01_05_425266	432	46	Schaeffter	Schaeffter	NNP
10_1101-2021_01_05_425266	432	47	,	,	,
10_1101-2021_01_05_425266	432	48	C.	C.	NNP
10_1101-2021_01_05_425266	432	49	Butakoff	Butakoff	NNP
10_1101-2021_01_05_425266	432	50	,	,	,
10_1101-2021_01_05_425266	432	51	O.	O.	NNP
10_1101-2021_01_05_425266	432	52	Friman	Friman	NNP
10_1101-2021_01_05_425266	432	53	,	,	,
10_1101-2021_01_05_425266	432	54	T.	T.	NNP
10_1101-2021_01_05_425266	432	55	Mansi	Mansi	NNP
10_1101-2021_01_05_425266	432	56	,	,	,
10_1101-2021_01_05_425266	432	57	M.	M.	NNP
10_1101-2021_01_05_425266	432	58	Sermesant	Sermesant	NNP
10_1101-2021_01_05_425266	432	59	,	,	,
10_1101-2021_01_05_425266	432	60	X.	X.	NNP
10_1101-2021_01_05_425266	432	61	Zhuang	Zhuang	NNP
10_1101-2021_01_05_425266	432	62	,	,	,
10_1101-2021_01_05_425266	432	63	S.	S.	NNP
10_1101-2021_01_05_425266	432	64	Ourselin	Ourselin	NNP
10_1101-2021_01_05_425266	432	65	,	,	,
10_1101-2021_01_05_425266	432	66	H.-O.	H.-O.	NNP
10_1101-2021_01_05_425266	433	1	Peitgen	Peitgen	NNP
10_1101-2021_01_05_425266	433	2	,	,	,
10_1101-2021_01_05_425266	433	3	X.	X.	NNP
10_1101-2021_01_05_425266	433	4	Pennec	Pennec	NNP
10_1101-2021_01_05_425266	433	5	,	,	,
10_1101-2021_01_05_425266	433	6	R.	R.	NNP
10_1101-2021_01_05_425266	433	7	Razavi	Razavi	NNP
10_1101-2021_01_05_425266	433	8	,	,	,
10_1101-2021_01_05_425266	433	9	D.	D.	NNP
10_1101-2021_01_05_425266	433	10	Rueckert	Rueckert	NNP
10_1101-2021_01_05_425266	433	11	,	,	,
10_1101-2021_01_05_425266	433	12	A.	A.	NNP
10_1101-2021_01_05_425266	433	13	F.	F.	NNP
10_1101-2021_01_05_425266	433	14	Frangi	Frangi	NNP
10_1101-2021_01_05_425266	433	15	,	,	,
10_1101-2021_01_05_425266	433	16	and	and	CC
10_1101-2021_01_05_425266	433	17	K.	K.	NNP
10_1101-2021_01_05_425266	433	18	S.	S.	NNP
10_1101-2021_01_05_425266	433	19	Rhode	Rhode	NNP
10_1101-2021_01_05_425266	433	20	,	,	,
10_1101-2021_01_05_425266	433	21	“	"	``
10_1101-2021_01_05_425266	433	22	Benchmarking	benchmarke	VBG
10_1101-2021_01_05_425266	433	23	framework	framework	NN
10_1101-2021_01_05_425266	433	24	for	for	IN
10_1101-2021_01_05_425266	433	25	myocardial	myocardial	JJ
10_1101-2021_01_05_425266	433	26	tracking	tracking	NN
10_1101-2021_01_05_425266	433	27	and	and	CC
10_1101-2021_01_05_425266	433	28	deformation	deformation	NN
10_1101-2021_01_05_425266	433	29	algorithms	algorithm	NNS
10_1101-2021_01_05_425266	433	30	:	:	:
10_1101-2021_01_05_425266	433	31	An	an	DT
10_1101-2021_01_05_425266	433	32	open	open	JJ
10_1101-2021_01_05_425266	433	33	access	access	NN
10_1101-2021_01_05_425266	433	34	database	database	NN
10_1101-2021_01_05_425266	433	35	,	,	,
10_1101-2021_01_05_425266	433	36	”	"	''
10_1101-2021_01_05_425266	433	37	Medical	Medical	NNP
10_1101-2021_01_05_425266	433	38	Image	Image	NNP
10_1101-2021_01_05_425266	433	39	Analysis	Analysis	NNP
10_1101-2021_01_05_425266	433	40	,	,	,
10_1101-2021_01_05_425266	433	41	vol	vol	NNP
10_1101-2021_01_05_425266	433	42	.	.	.
10_1101-2021_01_05_425266	434	1	17	17	CD
10_1101-2021_01_05_425266	434	2	,	,	,
10_1101-2021_01_05_425266	434	3	no	no	UH
10_1101-2021_01_05_425266	434	4	.	.	.
10_1101-2021_01_05_425266	435	1	6	6	CD
10_1101-2021_01_05_425266	435	2	,	,	,
10_1101-2021_01_05_425266	435	3	pp	pp	NNP
10_1101-2021_01_05_425266	435	4	.	.	.
10_1101-2021_01_05_425266	436	1	632	632	CD
10_1101-2021_01_05_425266	436	2	–	–	:
10_1101-2021_01_05_425266	436	3	648	648	CD
10_1101-2021_01_05_425266	436	4	,	,	,
10_1101-2021_01_05_425266	436	5	Aug.	August	NNP
10_1101-2021_01_05_425266	436	6	2013	2013	CD
10_1101-2021_01_05_425266	436	7	.	.	.
10_1101-2021_01_05_425266	437	1	[	[	-LRB-
10_1101-2021_01_05_425266	437	2	33	33	CD
10_1101-2021_01_05_425266	437	3	]	]	-RRB-
10_1101-2021_01_05_425266	437	4	American	American	NNP
10_1101-2021_01_05_425266	437	5	Heart	Heart	NNP
10_1101-2021_01_05_425266	437	6	Association	Association	NNP
10_1101-2021_01_05_425266	437	7	Writing	Writing	NNP
10_1101-2021_01_05_425266	437	8	Group	Group	NNP
10_1101-2021_01_05_425266	437	9	on	on	IN
10_1101-2021_01_05_425266	437	10	Myocardial	Myocardial	NNP
10_1101-2021_01_05_425266	437	11	Segmentation	Segmentation	NNP
10_1101-2021_01_05_425266	437	12	and	and	CC
10_1101-2021_01_05_425266	437	13	Registration	Registration	NNP
10_1101-2021_01_05_425266	437	14	for	for	IN
10_1101-2021_01_05_425266	437	15	Cardiac	Cardiac	NNP
10_1101-2021_01_05_425266	437	16	Imaging	Imaging	NNP
10_1101-2021_01_05_425266	437	17	:	:	:
10_1101-2021_01_05_425266	437	18	,	,	,
10_1101-2021_01_05_425266	437	19	M.	M.	NNP
10_1101-2021_01_05_425266	437	20	D.	D.	NNP
10_1101-2021_01_05_425266	437	21	Cerqueira	Cerqueira	NNP
10_1101-2021_01_05_425266	437	22	,	,	,
10_1101-2021_01_05_425266	437	23	N.	N.	NNP
10_1101-2021_01_05_425266	437	24	J.	J.	NNP
10_1101-2021_01_05_425266	437	25	Weissman	Weissman	NNP
10_1101-2021_01_05_425266	437	26	,	,	,
10_1101-2021_01_05_425266	437	27	V.	V.	NNP
10_1101-2021_01_05_425266	437	28	Dilsizian	Dilsizian	NNP
10_1101-2021_01_05_425266	437	29	,	,	,
10_1101-2021_01_05_425266	437	30	A.	A.	NNP
10_1101-2021_01_05_425266	437	31	K.	K.	NNP
10_1101-2021_01_05_425266	437	32	Jacobs	Jacobs	NNP
10_1101-2021_01_05_425266	437	33	,	,	,
10_1101-2021_01_05_425266	437	34	S.	S.	NNP
10_1101-2021_01_05_425266	437	35	Kaul	Kaul	NNP
10_1101-2021_01_05_425266	437	36	,	,	,
10_1101-2021_01_05_425266	437	37	W.	W.	NNP
10_1101-2021_01_05_425266	437	38	K.	K.	NNP
10_1101-2021_01_05_425266	437	39	Laskey	Laskey	NNP
10_1101-2021_01_05_425266	437	40	,	,	,
10_1101-2021_01_05_425266	437	41	D.	D.	NNP
10_1101-2021_01_05_425266	437	42	J.	J.	NNP
10_1101-2021_01_05_425266	437	43	Pennell	Pennell	NNP
10_1101-2021_01_05_425266	437	44	,	,	,
10_1101-2021_01_05_425266	437	45	J.	J.	NNP
10_1101-2021_01_05_425266	438	1	A.	A.	NNP
10_1101-2021_01_05_425266	438	2	Rumberger	Rumberger	NNP
10_1101-2021_01_05_425266	438	3	,	,	,
10_1101-2021_01_05_425266	438	4	T.	T.	NNP
10_1101-2021_01_05_425266	438	5	Ryan	Ryan	NNP
10_1101-2021_01_05_425266	438	6	,	,	,
10_1101-2021_01_05_425266	438	7	and	and	CC
10_1101-2021_01_05_425266	438	8	M.	M.	NNP
10_1101-2021_01_05_425266	438	9	S.	S.	NNP
10_1101-2021_01_05_425266	438	10	Verani	Verani	NNP
10_1101-2021_01_05_425266	438	11	,	,	,
10_1101-2021_01_05_425266	438	12	“	"	``
10_1101-2021_01_05_425266	438	13	Standardized	Standardized	NNP
10_1101-2021_01_05_425266	438	14	Myocardial	Myocardial	NNP
10_1101-2021_01_05_425266	438	15	Segmentation	Segmentation	NNP
10_1101-2021_01_05_425266	438	16	and	and	CC
10_1101-2021_01_05_425266	438	17	Nomenclature	Nomenclature	NNP
10_1101-2021_01_05_425266	438	18	for	for	IN
10_1101-2021_01_05_425266	438	19	Tomographic	Tomographic	NNP
10_1101-2021_01_05_425266	438	20	Imaging	Imaging	NNP
10_1101-2021_01_05_425266	438	21	of	of	IN
10_1101-2021_01_05_425266	438	22	the	the	DT
10_1101-2021_01_05_425266	438	23	Heart	heart	NN
10_1101-2021_01_05_425266	438	24	:	:	:
10_1101-2021_01_05_425266	438	25	A	a	DT
10_1101-2021_01_05_425266	438	26	Statement	Statement	NNP
10_1101-2021_01_05_425266	438	27	for	for	IN
10_1101-2021_01_05_425266	438	28	Healthcare	Healthcare	NNP
10_1101-2021_01_05_425266	438	29	Professionals	Professionals	NNPS
10_1101-2021_01_05_425266	438	30	From	from	IN
10_1101-2021_01_05_425266	438	31	the	the	DT
10_1101-2021_01_05_425266	438	32	.CC	.CC	:
10_1101-2021_01_05_425266	438	33	-	-	HYPH
10_1101-2021_01_05_425266	438	34	BY	by	IN
10_1101-2021_01_05_425266	438	35	-	-	HYPH
10_1101-2021_01_05_425266	438	36	NC	NC	NNP
10_1101-2021_01_05_425266	438	37	-	-	HYPH
10_1101-2021_01_05_425266	438	38	ND	ND	NNP
10_1101-2021_01_05_425266	438	39	4.0	4.0	CD
10_1101-2021_01_05_425266	438	40	International	International	NNP
10_1101-2021_01_05_425266	438	41	licenseavailable	licenseavailable	NN
10_1101-2021_01_05_425266	438	42	under	under	IN
10_1101-2021_01_05_425266	438	43	a	a	DT
10_1101-2021_01_05_425266	438	44	(	(	-LRB-
10_1101-2021_01_05_425266	438	45	which	which	WDT
10_1101-2021_01_05_425266	438	46	was	be	VBD
10_1101-2021_01_05_425266	438	47	not	not	RB
10_1101-2021_01_05_425266	438	48	certified	certify	VBN
10_1101-2021_01_05_425266	438	49	by	by	IN
10_1101-2021_01_05_425266	438	50	peer	peer	NN
10_1101-2021_01_05_425266	438	51	review	review	NN
10_1101-2021_01_05_425266	438	52	)	)	-RRB-
10_1101-2021_01_05_425266	438	53	is	be	VBZ
10_1101-2021_01_05_425266	438	54	the	the	DT
10_1101-2021_01_05_425266	438	55	author	author	NN
10_1101-2021_01_05_425266	438	56	/	/	SYM
10_1101-2021_01_05_425266	438	57	funder	funder	NN
10_1101-2021_01_05_425266	438	58	,	,	,
10_1101-2021_01_05_425266	438	59	who	who	WP
10_1101-2021_01_05_425266	438	60	has	have	VBZ
10_1101-2021_01_05_425266	438	61	granted	grant	VBN
10_1101-2021_01_05_425266	438	62	bioRxiv	biorxiv	IN
10_1101-2021_01_05_425266	438	63	a	a	DT
10_1101-2021_01_05_425266	438	64	license	license	NN
10_1101-2021_01_05_425266	438	65	to	to	TO
10_1101-2021_01_05_425266	438	66	display	display	VB
10_1101-2021_01_05_425266	438	67	the	the	DT
10_1101-2021_01_05_425266	438	68	preprint	preprint	NN
10_1101-2021_01_05_425266	438	69	in	in	IN
10_1101-2021_01_05_425266	438	70	perpetuity	perpetuity	NN
10_1101-2021_01_05_425266	438	71	.	.	.
10_1101-2021_01_05_425266	439	1	It	-PRON-	PRP
10_1101-2021_01_05_425266	439	2	is	be	VBZ
10_1101-2021_01_05_425266	439	3	made	make	VBN
10_1101-2021_01_05_425266	439	4	The	the	DT
10_1101-2021_01_05_425266	439	5	copyright	copyright	NN
10_1101-2021_01_05_425266	439	6	holder	holder	NN
10_1101-2021_01_05_425266	439	7	for	for	IN
10_1101-2021_01_05_425266	439	8	this	this	DT
10_1101-2021_01_05_425266	439	9	preprintthis	preprintthis	NN
10_1101-2021_01_05_425266	439	10	version	version	NN
10_1101-2021_01_05_425266	439	11	posted	post	VBD
10_1101-2021_01_05_425266	439	12	January	January	NNP
10_1101-2021_01_05_425266	439	13	7	7	CD
10_1101-2021_01_05_425266	439	14	,	,	,
10_1101-2021_01_05_425266	439	15	2021	2021	CD
10_1101-2021_01_05_425266	439	16	.	.	.
10_1101-2021_01_05_425266	439	17	;	;	:
10_1101-2021_01_05_425266	439	18	https://doi.org/10.1101/2021.01.05.425266doi	https://doi.org/10.1101/2021.01.05.425266doi	NNP
10_1101-2021_01_05_425266	439	19	:	:	:
10_1101-2021_01_05_425266	439	20	bioRxiv	biorxiv	IN
10_1101-2021_01_05_425266	439	21	preprint	preprint	NN
10_1101-2021_01_05_425266	439	22	https://doi.org/10.1101/2021.01.05.425266	https://doi.org/10.1101/2021.01.05.425266	NN
10_1101-2021_01_05_425266	439	23	http://creativecommons.org/licenses/by-nc-nd/4.0/	http://creativecommons.org/licenses/by-nc-nd/4.0/	JJ
10_1101-2021_01_05_425266	439	24	Cardiac	Cardiac	NNP
10_1101-2021_01_05_425266	439	25	Imaging	Imaging	NNP
10_1101-2021_01_05_425266	439	26	Committee	Committee	NNP
10_1101-2021_01_05_425266	439	27	of	of	IN
10_1101-2021_01_05_425266	439	28	the	the	DT
10_1101-2021_01_05_425266	439	29	Council	Council	NNP
10_1101-2021_01_05_425266	439	30	on	on	IN
10_1101-2021_01_05_425266	439	31	Clinical	Clinical	NNP
10_1101-2021_01_05_425266	439	32	Cardiology	Cardiology	NNP
10_1101-2021_01_05_425266	439	33	of	of	IN
10_1101-2021_01_05_425266	439	34	the	the	DT
10_1101-2021_01_05_425266	439	35	American	American	NNP
10_1101-2021_01_05_425266	439	36	Heart	Heart	NNP
10_1101-2021_01_05_425266	439	37	Association	Association	NNP
10_1101-2021_01_05_425266	439	38	,	,	,
10_1101-2021_01_05_425266	439	39	”	"	''
10_1101-2021_01_05_425266	439	40	Circulation	Circulation	NNP
10_1101-2021_01_05_425266	439	41	,	,	,
10_1101-2021_01_05_425266	439	42	vol	vol	NNP
10_1101-2021_01_05_425266	439	43	.	.	.
10_1101-2021_01_05_425266	440	1	105	105	CD
10_1101-2021_01_05_425266	440	2	,	,	,
10_1101-2021_01_05_425266	440	3	no	no	UH
10_1101-2021_01_05_425266	440	4	.	.	.
10_1101-2021_01_05_425266	441	1	4	4	LS
10_1101-2021_01_05_425266	441	2	,	,	,
10_1101-2021_01_05_425266	441	3	pp	pp	NNP
10_1101-2021_01_05_425266	441	4	.	.	.
10_1101-2021_01_05_425266	442	1	539	539	CD
10_1101-2021_01_05_425266	442	2	–	–	:
10_1101-2021_01_05_425266	442	3	542	542	CD
10_1101-2021_01_05_425266	442	4	,	,	,
10_1101-2021_01_05_425266	442	5	Jan.	January	NNP
10_1101-2021_01_05_425266	442	6	2002	2002	CD
10_1101-2021_01_05_425266	442	7	.	.	.
10_1101-2021_01_05_425266	443	1	[	[	-LRB-
10_1101-2021_01_05_425266	443	2	34	34	CD
10_1101-2021_01_05_425266	443	3	]	]	-RRB-
10_1101-2021_01_05_425266	443	4	M.	M.	NNP
10_1101-2021_01_05_425266	443	5	Jaderberg	Jaderberg	NNP
10_1101-2021_01_05_425266	443	6	,	,	,
10_1101-2021_01_05_425266	443	7	K.	K.	NNP
10_1101-2021_01_05_425266	443	8	Simonyan	Simonyan	NNP
10_1101-2021_01_05_425266	443	9	,	,	,
10_1101-2021_01_05_425266	443	10	A.	a.	NN
10_1101-2021_01_05_425266	443	11	Zisserman	Zisserman	NNP
10_1101-2021_01_05_425266	443	12	,	,	,
10_1101-2021_01_05_425266	443	13	and	and	CC
10_1101-2021_01_05_425266	443	14	K.	K.	NNP
10_1101-2021_01_05_425266	443	15	Kavukcuoglu	Kavukcuoglu	NNP
10_1101-2021_01_05_425266	443	16	,	,	,
10_1101-2021_01_05_425266	443	17	“	"	``
10_1101-2021_01_05_425266	443	18	Spatial	Spatial	NNP
10_1101-2021_01_05_425266	443	19	Transformer	Transformer	NNP
10_1101-2021_01_05_425266	443	20	Networks	Networks	NNP
10_1101-2021_01_05_425266	443	21	,	,	,
10_1101-2021_01_05_425266	443	22	”	"	''
10_1101-2021_01_05_425266	443	23	arXiv:1506.02025	arXiv:1506.02025	NNP
10_1101-2021_01_05_425266	443	24	[	[	-LRB-
10_1101-2021_01_05_425266	443	25	cs	cs	NNP
10_1101-2021_01_05_425266	443	26	]	]	-RRB-
10_1101-2021_01_05_425266	443	27	,	,	,
10_1101-2021_01_05_425266	443	28	Jun.	June	NNP
10_1101-2021_01_05_425266	444	1	2015	2015	CD
10_1101-2021_01_05_425266	444	2	.	.	.
10_1101-2021_01_05_425266	445	1	[	[	-LRB-
10_1101-2021_01_05_425266	445	2	35	35	CD
10_1101-2021_01_05_425266	445	3	]	]	-RRB-
10_1101-2021_01_05_425266	445	4	S.	S.	NNP
10_1101-2021_01_05_425266	445	5	Ioffe	Ioffe	NNP
10_1101-2021_01_05_425266	445	6	and	and	CC
10_1101-2021_01_05_425266	445	7	C.	C.	NNP
10_1101-2021_01_05_425266	445	8	Szegedy	Szegedy	NNP
10_1101-2021_01_05_425266	445	9	,	,	,
10_1101-2021_01_05_425266	445	10	“	"	``
10_1101-2021_01_05_425266	445	11	Batch	Batch	NNP
10_1101-2021_01_05_425266	445	12	Normalization	Normalization	NNP
10_1101-2021_01_05_425266	445	13	:	:	:
10_1101-2021_01_05_425266	445	14	Accelerating	accelerate	VBG
10_1101-2021_01_05_425266	445	15	Deep	Deep	NNP
10_1101-2021_01_05_425266	445	16	Network	Network	NNP
10_1101-2021_01_05_425266	445	17	Training	Training	NNP
10_1101-2021_01_05_425266	445	18	by	by	IN
10_1101-2021_01_05_425266	445	19	Reducing	reduce	VBG
10_1101-2021_01_05_425266	445	20	Internal	Internal	NNP
10_1101-2021_01_05_425266	445	21	Covariate	Covariate	NNP
10_1101-2021_01_05_425266	445	22	Shift	Shift	NNP
10_1101-2021_01_05_425266	445	23	,	,	,
10_1101-2021_01_05_425266	445	24	”	"	''
10_1101-2021_01_05_425266	445	25	arXiv:1502.03167	arXiv:1502.03167	NNP
10_1101-2021_01_05_425266	445	26	[	[	-LRB-
10_1101-2021_01_05_425266	445	27	cs	cs	NNP
10_1101-2021_01_05_425266	445	28	]	]	-RRB-
10_1101-2021_01_05_425266	445	29	,	,	,
10_1101-2021_01_05_425266	445	30	Mar.	March	NNP
10_1101-2021_01_05_425266	446	1	2015	2015	CD
10_1101-2021_01_05_425266	446	2	.	.	.
10_1101-2021_01_05_425266	447	1	[	[	-LRB-
10_1101-2021_01_05_425266	447	2	36	36	CD
10_1101-2021_01_05_425266	447	3	]	]	-RRB-
10_1101-2021_01_05_425266	447	4	B.	B.	NNP
10_1101-2021_01_05_425266	447	5	Xu	Xu	NNP
10_1101-2021_01_05_425266	447	6	,	,	,
10_1101-2021_01_05_425266	447	7	N.	N.	NNP
10_1101-2021_01_05_425266	447	8	Wang	Wang	NNP
10_1101-2021_01_05_425266	447	9	,	,	,
10_1101-2021_01_05_425266	447	10	T.	T.	NNP
10_1101-2021_01_05_425266	447	11	Chen	Chen	NNP
10_1101-2021_01_05_425266	447	12	,	,	,
10_1101-2021_01_05_425266	447	13	and	and	CC
10_1101-2021_01_05_425266	447	14	M.	M.	NNP
10_1101-2021_01_05_425266	447	15	Li	Li	NNP
10_1101-2021_01_05_425266	447	16	,	,	,
10_1101-2021_01_05_425266	447	17	“	"	``
10_1101-2021_01_05_425266	447	18	Empirical	Empirical	NNP
10_1101-2021_01_05_425266	447	19	Evaluation	Evaluation	NNP
10_1101-2021_01_05_425266	447	20	of	of	IN
10_1101-2021_01_05_425266	447	21	Rectified	Rectified	NNP
10_1101-2021_01_05_425266	447	22	Activations	Activations	NNPS
10_1101-2021_01_05_425266	447	23	in	in	IN
10_1101-2021_01_05_425266	447	24	Convolutional	Convolutional	NNP
10_1101-2021_01_05_425266	447	25	Network	Network	NNP
10_1101-2021_01_05_425266	447	26	,	,	,
10_1101-2021_01_05_425266	447	27	”	"	''
10_1101-2021_01_05_425266	447	28	arXiv:1505.00853	arXiv:1505.00853	NNP
10_1101-2021_01_05_425266	447	29	[	[	-LRB-
10_1101-2021_01_05_425266	447	30	cs	cs	NNP
10_1101-2021_01_05_425266	447	31	,	,	,
10_1101-2021_01_05_425266	447	32	stat	stat	NNP
10_1101-2021_01_05_425266	447	33	]	]	-RRB-
10_1101-2021_01_05_425266	447	34	,	,	,
10_1101-2021_01_05_425266	447	35	Nov.	November	NNP
10_1101-2021_01_05_425266	447	36	2015	2015	CD
10_1101-2021_01_05_425266	447	37	.	.	.
10_1101-2021_01_05_425266	448	1	[	[	-LRB-
10_1101-2021_01_05_425266	448	2	37	37	CD
10_1101-2021_01_05_425266	448	3	]	]	-RRB-
10_1101-2021_01_05_425266	448	4	K.	K.	NNP
10_1101-2021_01_05_425266	448	5	He	He	NNP
10_1101-2021_01_05_425266	448	6	,	,	,
10_1101-2021_01_05_425266	448	7	X.	X.	NNP
10_1101-2021_01_05_425266	448	8	Zhang	Zhang	NNP
10_1101-2021_01_05_425266	448	9	,	,	,
10_1101-2021_01_05_425266	448	10	S.	S.	NNP
10_1101-2021_01_05_425266	448	11	Ren	Ren	NNP
10_1101-2021_01_05_425266	448	12	,	,	,
10_1101-2021_01_05_425266	448	13	and	and	CC
10_1101-2021_01_05_425266	448	14	J.	J.	NNP
10_1101-2021_01_05_425266	449	1	Sun	Sun	NNP
10_1101-2021_01_05_425266	449	2	,	,	,
10_1101-2021_01_05_425266	449	3	“	"	``
10_1101-2021_01_05_425266	449	4	Deep	Deep	NNP
10_1101-2021_01_05_425266	449	5	Residual	Residual	NNP
10_1101-2021_01_05_425266	449	6	Learning	Learning	NNP
10_1101-2021_01_05_425266	449	7	for	for	IN
10_1101-2021_01_05_425266	449	8	Image	Image	NNP
10_1101-2021_01_05_425266	449	9	Recognition	Recognition	NNP
10_1101-2021_01_05_425266	449	10	,	,	,
10_1101-2021_01_05_425266	449	11	”	"	''
10_1101-2021_01_05_425266	449	12	arXiv:1512.03385	arXiv:1512.03385	NNP
10_1101-2021_01_05_425266	449	13	[	[	-LRB-
10_1101-2021_01_05_425266	449	14	cs	cs	NNP
10_1101-2021_01_05_425266	449	15	]	]	-RRB-
10_1101-2021_01_05_425266	449	16	,	,	,
10_1101-2021_01_05_425266	449	17	Dec.	December	NNP
10_1101-2021_01_05_425266	449	18	2015	2015	CD
10_1101-2021_01_05_425266	449	19	.	.	.
10_1101-2021_01_05_425266	450	1	[	[	-LRB-
10_1101-2021_01_05_425266	450	2	38	38	CD
10_1101-2021_01_05_425266	450	3	]	]	-RRB-
10_1101-2021_01_05_425266	450	4	W.	W.	NNP
10_1101-2021_01_05_425266	450	5	P.	P.	NNP
10_1101-2021_01_05_425266	450	6	Segars	Segars	NNP
10_1101-2021_01_05_425266	450	7	,	,	,
10_1101-2021_01_05_425266	450	8	G.	G.	NNP
10_1101-2021_01_05_425266	450	9	Sturgeon	Sturgeon	NNP
10_1101-2021_01_05_425266	450	10	,	,	,
10_1101-2021_01_05_425266	450	11	S.	S.	NNP
10_1101-2021_01_05_425266	450	12	Mendonca	Mendonca	NNP
10_1101-2021_01_05_425266	450	13	,	,	,
10_1101-2021_01_05_425266	450	14	J.	J.	NNP
10_1101-2021_01_05_425266	450	15	Grimes	Grimes	NNP
10_1101-2021_01_05_425266	450	16	,	,	,
10_1101-2021_01_05_425266	450	17	and	and	CC
10_1101-2021_01_05_425266	450	18	B.	B.	NNP
10_1101-2021_01_05_425266	450	19	M.	M.	NNP
10_1101-2021_01_05_425266	450	20	W.	W.	NNP
10_1101-2021_01_05_425266	450	21	Tsui	Tsui	NNP
10_1101-2021_01_05_425266	450	22	,	,	,
10_1101-2021_01_05_425266	450	23	“	"	``
10_1101-2021_01_05_425266	450	24	4D	4d	NN
10_1101-2021_01_05_425266	450	25	XCAT	XCAT	VBD
10_1101-2021_01_05_425266	450	26	phantom	phantom	NN
10_1101-2021_01_05_425266	450	27	for	for	IN
10_1101-2021_01_05_425266	450	28	multimodality	multimodality	NN
10_1101-2021_01_05_425266	450	29	imaging	imaging	NNP
10_1101-2021_01_05_425266	450	30	research	research	NN
10_1101-2021_01_05_425266	450	31	:	:	:
10_1101-2021_01_05_425266	450	32	4D	4d	CD
10_1101-2021_01_05_425266	450	33	XCAT	XCAT	VBD
10_1101-2021_01_05_425266	450	34	phantom	phantom	NN
10_1101-2021_01_05_425266	450	35	for	for	IN
10_1101-2021_01_05_425266	450	36	multimodality	multimodality	NN
10_1101-2021_01_05_425266	450	37	imaging	imaging	NNP
10_1101-2021_01_05_425266	450	38	research	research	NN
10_1101-2021_01_05_425266	450	39	,	,	,
10_1101-2021_01_05_425266	450	40	”	"	''
10_1101-2021_01_05_425266	450	41	Medical	Medical	NNP
10_1101-2021_01_05_425266	450	42	Physics	Physics	NNP
10_1101-2021_01_05_425266	450	43	,	,	,
10_1101-2021_01_05_425266	450	44	vol	vol	NNP
10_1101-2021_01_05_425266	450	45	.	.	.
10_1101-2021_01_05_425266	451	1	37	37	CD
10_1101-2021_01_05_425266	451	2	,	,	,
10_1101-2021_01_05_425266	451	3	no	no	UH
10_1101-2021_01_05_425266	451	4	.	.	.
10_1101-2021_01_05_425266	452	1	9	9	CD
10_1101-2021_01_05_425266	452	2	,	,	,
10_1101-2021_01_05_425266	452	3	pp	pp	NNP
10_1101-2021_01_05_425266	452	4	.	.	.
10_1101-2021_01_05_425266	453	1	4902–4915	4902–4915	CD
10_1101-2021_01_05_425266	453	2	,	,	,
10_1101-2021_01_05_425266	453	3	Aug.	August	NNP
10_1101-2021_01_05_425266	453	4	2010	2010	CD
10_1101-2021_01_05_425266	453	5	.	.	.
10_1101-2021_01_05_425266	454	1	[	[	-LRB-
10_1101-2021_01_05_425266	454	2	39	39	CD
10_1101-2021_01_05_425266	454	3	]	]	-RRB-
10_1101-2021_01_05_425266	454	4	L.	L.	NNP
10_1101-2021_01_05_425266	454	5	Wissmann	Wissmann	NNP
10_1101-2021_01_05_425266	454	6	,	,	,
10_1101-2021_01_05_425266	454	7	C.	C.	NNP
10_1101-2021_01_05_425266	454	8	Santelli	Santelli	NNP
10_1101-2021_01_05_425266	454	9	,	,	,
10_1101-2021_01_05_425266	454	10	W.	W.	NNP
10_1101-2021_01_05_425266	454	11	P.	P.	NNP
10_1101-2021_01_05_425266	454	12	Segars	Segars	NNP
10_1101-2021_01_05_425266	454	13	,	,	,
10_1101-2021_01_05_425266	454	14	and	and	CC
10_1101-2021_01_05_425266	454	15	S.	S.	NNP
10_1101-2021_01_05_425266	454	16	Kozerke	Kozerke	NNP
10_1101-2021_01_05_425266	454	17	,	,	,
10_1101-2021_01_05_425266	454	18	“	"	``
10_1101-2021_01_05_425266	454	19	MRXCAT	MRXCAT	NNP
10_1101-2021_01_05_425266	454	20	:	:	:
10_1101-2021_01_05_425266	454	21	Realistic	realistic	JJ
10_1101-2021_01_05_425266	454	22	numerical	numerical	JJ
10_1101-2021_01_05_425266	454	23	phantoms	phantom	NNS
10_1101-2021_01_05_425266	454	24	for	for	IN
10_1101-2021_01_05_425266	454	25	cardiovascular	cardiovascular	JJ
10_1101-2021_01_05_425266	454	26	magnetic	magnetic	JJ
10_1101-2021_01_05_425266	454	27	resonance	resonance	NN
10_1101-2021_01_05_425266	454	28	,	,	,
10_1101-2021_01_05_425266	454	29	”	"	''
10_1101-2021_01_05_425266	454	30	Journal	Journal	NNP
10_1101-2021_01_05_425266	454	31	of	of	IN
10_1101-2021_01_05_425266	454	32	Cardiovascular	Cardiovascular	NNP
10_1101-2021_01_05_425266	454	33	Magnetic	Magnetic	NNP
10_1101-2021_01_05_425266	454	34	Resonance	Resonance	NNP
10_1101-2021_01_05_425266	454	35	,	,	,
10_1101-2021_01_05_425266	454	36	vol	vol	NNP
10_1101-2021_01_05_425266	454	37	.	.	.
10_1101-2021_01_05_425266	455	1	16	16	CD
10_1101-2021_01_05_425266	455	2	,	,	,
10_1101-2021_01_05_425266	455	3	no	no	UH
10_1101-2021_01_05_425266	455	4	.	.	.
10_1101-2021_01_05_425266	456	1	1	1	LS
10_1101-2021_01_05_425266	456	2	,	,	,
10_1101-2021_01_05_425266	456	3	Dec.	December	NNP
10_1101-2021_01_05_425266	456	4	2014	2014	CD
10_1101-2021_01_05_425266	456	5	.	.	.
10_1101-2021_01_05_425266	457	1	[	[	-LRB-
10_1101-2021_01_05_425266	457	2	40	40	CD
10_1101-2021_01_05_425266	457	3	]	]	-RRB-
10_1101-2021_01_05_425266	457	4	L.	L.	NNP
10_1101-2021_01_05_425266	457	5	Tautz	Tautz	NNP
10_1101-2021_01_05_425266	457	6	,	,	,
10_1101-2021_01_05_425266	457	7	A.	a.	NN
10_1101-2021_01_05_425266	457	8	Hennemuth	Hennemuth	NNP
10_1101-2021_01_05_425266	457	9	,	,	,
10_1101-2021_01_05_425266	457	10	and	and	CC
10_1101-2021_01_05_425266	457	11	H.-O.	H.-O.	NNP
10_1101-2021_01_05_425266	458	1	Peitgen	Peitgen	NNP
10_1101-2021_01_05_425266	458	2	,	,	,
10_1101-2021_01_05_425266	458	3	“	"	``
10_1101-2021_01_05_425266	458	4	Motion	Motion	NNP
10_1101-2021_01_05_425266	458	5	Analysis	Analysis	NNP
10_1101-2021_01_05_425266	458	6	with	with	IN
10_1101-2021_01_05_425266	458	7	Quadrature	Quadrature	NNP
10_1101-2021_01_05_425266	458	8	Filter	Filter	NNP
10_1101-2021_01_05_425266	458	9	Based	base	VBN
10_1101-2021_01_05_425266	458	10	Registration	Registration	NNP
10_1101-2021_01_05_425266	458	11	of	of	IN
10_1101-2021_01_05_425266	458	12	Tagged	tag	VBN
10_1101-2021_01_05_425266	458	13	MRI	MRI	NNP
10_1101-2021_01_05_425266	458	14	Sequences	Sequences	NNPS
10_1101-2021_01_05_425266	458	15	,	,	,
10_1101-2021_01_05_425266	458	16	”	"	''
10_1101-2021_01_05_425266	458	17	in	in	IN
10_1101-2021_01_05_425266	458	18	Statistical	Statistical	NNP
10_1101-2021_01_05_425266	458	19	Atlases	Atlases	NNPS
10_1101-2021_01_05_425266	458	20	and	and	CC
10_1101-2021_01_05_425266	458	21	Computational	Computational	NNP
10_1101-2021_01_05_425266	458	22	Models	Models	NNPS
10_1101-2021_01_05_425266	458	23	of	of	IN
10_1101-2021_01_05_425266	458	24	the	the	DT
10_1101-2021_01_05_425266	458	25	Heart	heart	NN
10_1101-2021_01_05_425266	458	26	.	.	.
10_1101-2021_01_05_425266	459	1	Imaging	Imaging	NNP
10_1101-2021_01_05_425266	459	2	and	and	CC
10_1101-2021_01_05_425266	459	3	Modelling	Modelling	NNP
10_1101-2021_01_05_425266	459	4	Challenges	Challenges	NNPS
10_1101-2021_01_05_425266	459	5	,	,	,
10_1101-2021_01_05_425266	459	6	vol	vol	NNP
10_1101-2021_01_05_425266	459	7	.	.	.
10_1101-2021_01_05_425266	460	1	7085	7085	CD
10_1101-2021_01_05_425266	460	2	,	,	,
10_1101-2021_01_05_425266	460	3	O.	O.	NNP
10_1101-2021_01_05_425266	460	4	Camara	Camara	NNP
10_1101-2021_01_05_425266	460	5	,	,	,
10_1101-2021_01_05_425266	460	6	E.	E.	NNP
10_1101-2021_01_05_425266	460	7	Konukoglu	Konukoglu	NNP
10_1101-2021_01_05_425266	460	8	,	,	,
10_1101-2021_01_05_425266	460	9	M.	M.	NNP
10_1101-2021_01_05_425266	460	10	Pop	Pop	NNP
10_1101-2021_01_05_425266	460	11	,	,	,
10_1101-2021_01_05_425266	460	12	K.	K.	NNP
10_1101-2021_01_05_425266	460	13	Rhode	Rhode	NNP
10_1101-2021_01_05_425266	460	14	,	,	,
10_1101-2021_01_05_425266	460	15	M.	M.	NNP
10_1101-2021_01_05_425266	460	16	Sermesant	Sermesant	NNP
10_1101-2021_01_05_425266	460	17	,	,	,
10_1101-2021_01_05_425266	460	18	and	and	CC
10_1101-2021_01_05_425266	460	19	A.	a.	NN
10_1101-2021_01_05_425266	461	1	Young	Young	NNP
10_1101-2021_01_05_425266	461	2	,	,	,
10_1101-2021_01_05_425266	461	3	Eds	Eds	NNP
10_1101-2021_01_05_425266	461	4	.	.	.
10_1101-2021_01_05_425266	462	1	Berlin	Berlin	NNP
10_1101-2021_01_05_425266	462	2	,	,	,
10_1101-2021_01_05_425266	462	3	Heidelberg	Heidelberg	NNP
10_1101-2021_01_05_425266	462	4	:	:	:
10_1101-2021_01_05_425266	462	5	Springer	Springer	NNP
10_1101-2021_01_05_425266	462	6	Berlin	Berlin	NNP
10_1101-2021_01_05_425266	462	7	Heidelberg	Heidelberg	NNP
10_1101-2021_01_05_425266	462	8	,	,	,
10_1101-2021_01_05_425266	462	9	2012	2012	CD
10_1101-2021_01_05_425266	462	10	,	,	,
10_1101-2021_01_05_425266	462	11	pp	pp	NNP
10_1101-2021_01_05_425266	462	12	.	.	.
10_1101-2021_01_05_425266	463	1	78–87	78–87	LS
10_1101-2021_01_05_425266	463	2	.	.	.
10_1101-2021_01_05_425266	464	1	[	[	-LRB-
10_1101-2021_01_05_425266	464	2	41	41	CD
10_1101-2021_01_05_425266	464	3	]	]	-RRB-
10_1101-2021_01_05_425266	464	4	K.	K.	NNP
10_1101-2021_01_05_425266	464	5	McLeod	McLeod	NNP
10_1101-2021_01_05_425266	464	6	,	,	,
10_1101-2021_01_05_425266	464	7	A.	a.	NN
10_1101-2021_01_05_425266	464	8	Prakosa	Prakosa	NNP
10_1101-2021_01_05_425266	464	9	,	,	,
10_1101-2021_01_05_425266	464	10	T.	T.	NNP
10_1101-2021_01_05_425266	464	11	Mansi	Mansi	NNP
10_1101-2021_01_05_425266	464	12	,	,	,
10_1101-2021_01_05_425266	464	13	M.	M.	NNP
10_1101-2021_01_05_425266	464	14	Sermesant	Sermesant	NNP
10_1101-2021_01_05_425266	464	15	,	,	,
10_1101-2021_01_05_425266	464	16	and	and	CC
10_1101-2021_01_05_425266	464	17	X.	X.	NNP
10_1101-2021_01_05_425266	464	18	Pennec	Pennec	NNP
10_1101-2021_01_05_425266	464	19	,	,	,
10_1101-2021_01_05_425266	464	20	“	"	``
10_1101-2021_01_05_425266	464	21	An	an	DT
10_1101-2021_01_05_425266	464	22	Incompressible	incompressible	JJ
10_1101-2021_01_05_425266	464	23	Log	Log	NNP
10_1101-2021_01_05_425266	464	24	-	-	HYPH
10_1101-2021_01_05_425266	464	25	Domain	Domain	NNP
10_1101-2021_01_05_425266	464	26	Demons	demon	NNS
10_1101-2021_01_05_425266	464	27	Algorithm	Algorithm	NNP
10_1101-2021_01_05_425266	464	28	for	for	IN
10_1101-2021_01_05_425266	464	29	Tracking	Tracking	NNP
10_1101-2021_01_05_425266	464	30	Heart	Heart	NNP
10_1101-2021_01_05_425266	464	31	Tissue	Tissue	NNP
10_1101-2021_01_05_425266	464	32	,	,	,
10_1101-2021_01_05_425266	464	33	”	"	''
10_1101-2021_01_05_425266	464	34	in	in	IN
10_1101-2021_01_05_425266	464	35	Statistical	Statistical	NNP
10_1101-2021_01_05_425266	464	36	Atlases	Atlases	NNPS
10_1101-2021_01_05_425266	464	37	and	and	CC
10_1101-2021_01_05_425266	464	38	Computational	Computational	NNP
10_1101-2021_01_05_425266	464	39	Models	Models	NNPS
10_1101-2021_01_05_425266	464	40	of	of	IN
10_1101-2021_01_05_425266	464	41	the	the	DT
10_1101-2021_01_05_425266	464	42	Heart	heart	NN
10_1101-2021_01_05_425266	464	43	.	.	.
10_1101-2021_01_05_425266	465	1	Imaging	Imaging	NNP
10_1101-2021_01_05_425266	465	2	and	and	CC
10_1101-2021_01_05_425266	465	3	Modelling	Modelling	NNP
10_1101-2021_01_05_425266	465	4	Challenges	Challenges	NNPS
10_1101-2021_01_05_425266	465	5	,	,	,
10_1101-2021_01_05_425266	465	6	vol	vol	NNP
10_1101-2021_01_05_425266	465	7	.	.	.
10_1101-2021_01_05_425266	466	1	7085	7085	CD
10_1101-2021_01_05_425266	466	2	,	,	,
10_1101-2021_01_05_425266	466	3	O.	O.	NNP
10_1101-2021_01_05_425266	466	4	Camara	Camara	NNP
10_1101-2021_01_05_425266	466	5	,	,	,
10_1101-2021_01_05_425266	466	6	E.	E.	NNP
10_1101-2021_01_05_425266	466	7	Konukoglu	Konukoglu	NNP
10_1101-2021_01_05_425266	466	8	,	,	,
10_1101-2021_01_05_425266	466	9	M.	M.	NNP
10_1101-2021_01_05_425266	466	10	Pop	Pop	NNP
10_1101-2021_01_05_425266	466	11	,	,	,
10_1101-2021_01_05_425266	466	12	K.	K.	NNP
10_1101-2021_01_05_425266	466	13	Rhode	Rhode	NNP
10_1101-2021_01_05_425266	466	14	,	,	,
10_1101-2021_01_05_425266	466	15	M.	M.	NNP
10_1101-2021_01_05_425266	466	16	Sermesant	Sermesant	NNP
10_1101-2021_01_05_425266	466	17	,	,	,
10_1101-2021_01_05_425266	466	18	and	and	CC
10_1101-2021_01_05_425266	466	19	A.	a.	NN
10_1101-2021_01_05_425266	467	1	Young	Young	NNP
10_1101-2021_01_05_425266	467	2	,	,	,
10_1101-2021_01_05_425266	467	3	Eds	Eds	NNP
10_1101-2021_01_05_425266	467	4	.	.	.
10_1101-2021_01_05_425266	468	1	Berlin	Berlin	NNP
10_1101-2021_01_05_425266	468	2	,	,	,
10_1101-2021_01_05_425266	468	3	Heidelberg	Heidelberg	NNP
10_1101-2021_01_05_425266	468	4	:	:	:
10_1101-2021_01_05_425266	468	5	Springer	Springer	NNP
10_1101-2021_01_05_425266	468	6	Berlin	Berlin	NNP
10_1101-2021_01_05_425266	468	7	Heidelberg	Heidelberg	NNP
10_1101-2021_01_05_425266	468	8	,	,	,
10_1101-2021_01_05_425266	468	9	2012	2012	CD
10_1101-2021_01_05_425266	468	10	,	,	,
10_1101-2021_01_05_425266	468	11	pp	pp	NNP
10_1101-2021_01_05_425266	468	12	.	.	.
10_1101-2021_01_05_425266	469	1	55–67	55–67	LS
10_1101-2021_01_05_425266	469	2	.	.	.
10_1101-2021_01_05_425266	470	1	[	[	-LRB-
10_1101-2021_01_05_425266	470	2	42	42	CD
10_1101-2021_01_05_425266	470	3	]	]	-RRB-
10_1101-2021_01_05_425266	470	4	E.	E.	NNP
10_1101-2021_01_05_425266	470	5	Ferdian	Ferdian	NNP
10_1101-2021_01_05_425266	470	6	,	,	,
10_1101-2021_01_05_425266	470	7	A.	A.	NNP
10_1101-2021_01_05_425266	470	8	Suinesiaputra	Suinesiaputra	NNP
10_1101-2021_01_05_425266	470	9	,	,	,
10_1101-2021_01_05_425266	470	10	K.	K.	NNP
10_1101-2021_01_05_425266	470	11	Fung	Fung	NNP
10_1101-2021_01_05_425266	470	12	,	,	,
10_1101-2021_01_05_425266	470	13	N.	N.	NNP
10_1101-2021_01_05_425266	470	14	Aung	Aung	NNP
10_1101-2021_01_05_425266	470	15	,	,	,
10_1101-2021_01_05_425266	470	16	E.	E.	NNP
10_1101-2021_01_05_425266	470	17	Lukaschuk	Lukaschuk	NNP
10_1101-2021_01_05_425266	470	18	,	,	,
10_1101-2021_01_05_425266	470	19	A.	a.	NN
10_1101-2021_01_05_425266	470	20	Barutcu	Barutcu	NNP
10_1101-2021_01_05_425266	470	21	,	,	,
10_1101-2021_01_05_425266	470	22	E.	E.	NNP
10_1101-2021_01_05_425266	470	23	Maclean	Maclean	NNP
10_1101-2021_01_05_425266	470	24	,	,	,
10_1101-2021_01_05_425266	470	25	J.	J.	NNP
10_1101-2021_01_05_425266	470	26	Paiva	Paiva	NNP
10_1101-2021_01_05_425266	470	27	,	,	,
10_1101-2021_01_05_425266	470	28	S.	S.	NNP
10_1101-2021_01_05_425266	470	29	K.	K.	NNP
10_1101-2021_01_05_425266	470	30	Piechnik	Piechnik	NNP
10_1101-2021_01_05_425266	470	31	,	,	,
10_1101-2021_01_05_425266	470	32	S.	S.	NNP
10_1101-2021_01_05_425266	470	33	Neubauer	Neubauer	NNP
10_1101-2021_01_05_425266	470	34	,	,	,
10_1101-2021_01_05_425266	470	35	S.	S.	NNP
10_1101-2021_01_05_425266	470	36	E.	E.	NNP
10_1101-2021_01_05_425266	470	37	Petersen	Petersen	NNP
10_1101-2021_01_05_425266	470	38	,	,	,
10_1101-2021_01_05_425266	470	39	and	and	CC
10_1101-2021_01_05_425266	470	40	A.	a.	NN
10_1101-2021_01_05_425266	471	1	A.	A.	NNP
10_1101-2021_01_05_425266	472	1	Young	young	JJ
10_1101-2021_01_05_425266	472	2	,	,	,
10_1101-2021_01_05_425266	472	3	“	"	``
10_1101-2021_01_05_425266	472	4	Fully	fully	RB
10_1101-2021_01_05_425266	472	5	Automated	Automated	NNP
10_1101-2021_01_05_425266	472	6	Myocardial	Myocardial	NNP
10_1101-2021_01_05_425266	472	7	Strain	Strain	NNP
10_1101-2021_01_05_425266	472	8	Estimation	Estimation	NNP
10_1101-2021_01_05_425266	472	9	from	from	IN
10_1101-2021_01_05_425266	472	10	Cardiovascular	Cardiovascular	NNP
10_1101-2021_01_05_425266	472	11	MRI	MRI	NNP
10_1101-2021_01_05_425266	472	12	–	–	:
10_1101-2021_01_05_425266	472	13	tagged	tag	VBN
10_1101-2021_01_05_425266	472	14	Images	image	NNS
10_1101-2021_01_05_425266	472	15	Using	use	VBG
10_1101-2021_01_05_425266	472	16	a	a	DT
10_1101-2021_01_05_425266	472	17	Deep	Deep	NNP
10_1101-2021_01_05_425266	472	18	Learning	Learning	NNP
10_1101-2021_01_05_425266	472	19	Framework	Framework	NNP
10_1101-2021_01_05_425266	472	20	in	in	IN
10_1101-2021_01_05_425266	472	21	the	the	DT
10_1101-2021_01_05_425266	472	22	UK	UK	NNP
10_1101-2021_01_05_425266	472	23	Biobank	Biobank	NNP
10_1101-2021_01_05_425266	472	24	,	,	,
10_1101-2021_01_05_425266	472	25	”	"	''
10_1101-2021_01_05_425266	472	26	Radiology	radiology	NN
10_1101-2021_01_05_425266	472	27	:	:	:
10_1101-2021_01_05_425266	472	28	Cardiothoracic	Cardiothoracic	NNP
10_1101-2021_01_05_425266	472	29	Imaging	Imaging	NNP
10_1101-2021_01_05_425266	472	30	,	,	,
10_1101-2021_01_05_425266	472	31	vol	vol	NNP
10_1101-2021_01_05_425266	472	32	.	.	.
10_1101-2021_01_05_425266	473	1	2	2	LS
10_1101-2021_01_05_425266	473	2	,	,	,
10_1101-2021_01_05_425266	473	3	no	no	UH
10_1101-2021_01_05_425266	473	4	.	.	.
10_1101-2021_01_05_425266	474	1	1	1	CD
10_1101-2021_01_05_425266	474	2	,	,	,
10_1101-2021_01_05_425266	474	3	p.	p.	NNP
10_1101-2021_01_05_425266	474	4	e190032	e190032	NNP
10_1101-2021_01_05_425266	474	5	,	,	,
10_1101-2021_01_05_425266	474	6	Feb.	February	NNP
10_1101-2021_01_05_425266	474	7	2020	2020	CD
10_1101-2021_01_05_425266	474	8	.	.	.
10_1101-2021_01_05_425266	475	1	[	[	-LRB-
10_1101-2021_01_05_425266	475	2	43	43	CD
10_1101-2021_01_05_425266	475	3	]	]	-RRB-
10_1101-2021_01_05_425266	475	4	R.	R.	NNP
10_1101-2021_01_05_425266	475	5	Vallat	Vallat	NNP
10_1101-2021_01_05_425266	475	6	,	,	,
10_1101-2021_01_05_425266	475	7	“	"	``
10_1101-2021_01_05_425266	475	8	Pingouin	Pingouin	NNP
10_1101-2021_01_05_425266	475	9	:	:	:
10_1101-2021_01_05_425266	475	10	statistics	statistic	NNS
10_1101-2021_01_05_425266	475	11	in	in	IN
10_1101-2021_01_05_425266	475	12	Python	Python	NNP
10_1101-2021_01_05_425266	475	13	,	,	,
10_1101-2021_01_05_425266	475	14	”	"	''
10_1101-2021_01_05_425266	475	15	JOSS	JOSS	NNP
10_1101-2021_01_05_425266	475	16	,	,	,
10_1101-2021_01_05_425266	475	17	vol	vol	NNP
10_1101-2021_01_05_425266	475	18	.	.	.
10_1101-2021_01_05_425266	476	1	3	3	LS
10_1101-2021_01_05_425266	476	2	,	,	,
10_1101-2021_01_05_425266	476	3	no	no	UH
10_1101-2021_01_05_425266	476	4	.	.	.
10_1101-2021_01_05_425266	477	1	31	31	CD
10_1101-2021_01_05_425266	477	2	,	,	,
10_1101-2021_01_05_425266	477	3	p.	p.	NN
10_1101-2021_01_05_425266	477	4	1026	1026	CD
10_1101-2021_01_05_425266	477	5	,	,	,
10_1101-2021_01_05_425266	477	6	Nov.	November	NNP
10_1101-2021_01_05_425266	477	7	2018	2018	CD
10_1101-2021_01_05_425266	477	8	.	.	.
10_1101-2021_01_05_425266	478	1	[	[	-LRB-
10_1101-2021_01_05_425266	478	2	44	44	CD
10_1101-2021_01_05_425266	478	3	]	]	-RRB-
10_1101-2021_01_05_425266	478	4	N.	N.	NNP
10_1101-2021_01_05_425266	478	5	Painchaud	Painchaud	NNP
10_1101-2021_01_05_425266	478	6	,	,	,
10_1101-2021_01_05_425266	478	7	Y.	Y.	NNP
10_1101-2021_01_05_425266	478	8	Skandarani	Skandarani	NNP
10_1101-2021_01_05_425266	478	9	,	,	,
10_1101-2021_01_05_425266	478	10	T.	T.	NNP
10_1101-2021_01_05_425266	478	11	Judge	Judge	NNP
10_1101-2021_01_05_425266	478	12	,	,	,
10_1101-2021_01_05_425266	478	13	O.	O.	NNP
10_1101-2021_01_05_425266	478	14	Bernard	Bernard	NNP
10_1101-2021_01_05_425266	478	15	,	,	,
10_1101-2021_01_05_425266	478	16	A.	A.	NNP
10_1101-2021_01_05_425266	478	17	Lalande	Lalande	NNP
10_1101-2021_01_05_425266	478	18	,	,	,
10_1101-2021_01_05_425266	478	19	and	and	CC
10_1101-2021_01_05_425266	478	20	P.-	p.-	NN
10_1101-2021_01_05_425266	478	21	M.	M.	NNP
10_1101-2021_01_05_425266	478	22	Jodoin	Jodoin	NNP
10_1101-2021_01_05_425266	478	23	,	,	,
10_1101-2021_01_05_425266	478	24	“	"	``
10_1101-2021_01_05_425266	478	25	Cardiac	cardiac	JJ
10_1101-2021_01_05_425266	478	26	MRI	mri	NN
10_1101-2021_01_05_425266	478	27	Segmentation	segmentation	NN
10_1101-2021_01_05_425266	478	28	with	with	IN
10_1101-2021_01_05_425266	478	29	Strong	strong	JJ
10_1101-2021_01_05_425266	478	30	Anatomical	Anatomical	NNP
10_1101-2021_01_05_425266	478	31	Guarantees	guarantee	NNS
10_1101-2021_01_05_425266	478	32	,	,	,
10_1101-2021_01_05_425266	478	33	”	"	''
10_1101-2021_01_05_425266	478	34	in	in	IN
10_1101-2021_01_05_425266	478	35	Medical	Medical	NNP
10_1101-2021_01_05_425266	478	36	Image	Image	NNP
10_1101-2021_01_05_425266	478	37	Computing	Computing	NNP
10_1101-2021_01_05_425266	478	38	and	and	CC
10_1101-2021_01_05_425266	478	39	Computer	Computer	NNP
10_1101-2021_01_05_425266	478	40	Assisted	Assisted	NNP
10_1101-2021_01_05_425266	478	41	Intervention	Intervention	NNP
10_1101-2021_01_05_425266	478	42	–	–	:
10_1101-2021_01_05_425266	478	43	MICCAI	MICCAI	NNP
10_1101-2021_01_05_425266	478	44	2019	2019	CD
10_1101-2021_01_05_425266	478	45	,	,	,
10_1101-2021_01_05_425266	478	46	vol	vol	NNP
10_1101-2021_01_05_425266	478	47	.	.	.
10_1101-2021_01_05_425266	479	1	11765	11765	CD
10_1101-2021_01_05_425266	479	2	,	,	,
10_1101-2021_01_05_425266	479	3	D.	D.	NNP
10_1101-2021_01_05_425266	479	4	Shen	Shen	NNP
10_1101-2021_01_05_425266	479	5	,	,	,
10_1101-2021_01_05_425266	479	6	T.	T.	NNP
10_1101-2021_01_05_425266	479	7	Liu	Liu	NNP
10_1101-2021_01_05_425266	479	8	,	,	,
10_1101-2021_01_05_425266	479	9	T.	T.	NNP
10_1101-2021_01_05_425266	479	10	M.	M.	NNP
10_1101-2021_01_05_425266	479	11	Peters	Peters	NNP
10_1101-2021_01_05_425266	479	12	,	,	,
10_1101-2021_01_05_425266	479	13	L.	L.	NNP
10_1101-2021_01_05_425266	479	14	H.	H.	NNP
10_1101-2021_01_05_425266	479	15	Staib	Staib	NNP
10_1101-2021_01_05_425266	479	16	,	,	,
10_1101-2021_01_05_425266	479	17	C.	C.	NNP
10_1101-2021_01_05_425266	479	18	Essert	Essert	NNP
10_1101-2021_01_05_425266	479	19	,	,	,
10_1101-2021_01_05_425266	479	20	S.	S.	NNP
10_1101-2021_01_05_425266	479	21	Zhou	Zhou	NNP
10_1101-2021_01_05_425266	479	22	,	,	,
10_1101-2021_01_05_425266	479	23	P.-T.	P.-T.	NNP
10_1101-2021_01_05_425266	479	24	Yap	Yap	NNP
10_1101-2021_01_05_425266	479	25	,	,	,
10_1101-2021_01_05_425266	479	26	and	and	CC
10_1101-2021_01_05_425266	479	27	A.	A.	NNP
10_1101-2021_01_05_425266	479	28	Khan	Khan	NNP
10_1101-2021_01_05_425266	479	29	,	,	,
10_1101-2021_01_05_425266	479	30	Eds	Eds	NNP
10_1101-2021_01_05_425266	479	31	.	.	.
10_1101-2021_01_05_425266	480	1	Cham	Cham	NNP
10_1101-2021_01_05_425266	480	2	:	:	:
10_1101-2021_01_05_425266	480	3	Springer	Springer	NNP
10_1101-2021_01_05_425266	480	4	International	International	NNP
10_1101-2021_01_05_425266	480	5	Publishing	Publishing	NNP
10_1101-2021_01_05_425266	480	6	,	,	,
10_1101-2021_01_05_425266	480	7	2019	2019	CD
10_1101-2021_01_05_425266	480	8	,	,	,
10_1101-2021_01_05_425266	480	9	pp	pp	NNP
10_1101-2021_01_05_425266	480	10	.	.	.
10_1101-2021_01_05_425266	481	1	632–640	632–640	CD
10_1101-2021_01_05_425266	481	2	.	.	.
10_1101-2021_01_05_425266	482	1	[	[	-LRB-
10_1101-2021_01_05_425266	482	2	45	45	CD
10_1101-2021_01_05_425266	482	3	]	]	-RRB-
10_1101-2021_01_05_425266	482	4	M.	M.	NNP
10_1101-2021_01_05_425266	482	5	Khened	Khened	NNP
10_1101-2021_01_05_425266	482	6	,	,	,
10_1101-2021_01_05_425266	482	7	V.	V.	NNP
10_1101-2021_01_05_425266	482	8	Alex	Alex	NNP
10_1101-2021_01_05_425266	482	9	,	,	,
10_1101-2021_01_05_425266	482	10	and	and	CC
10_1101-2021_01_05_425266	482	11	G.	G.	NNP
10_1101-2021_01_05_425266	482	12	Krishnamurthi	Krishnamurthi	NNP
10_1101-2021_01_05_425266	482	13	,	,	,
10_1101-2021_01_05_425266	482	14	“	"	``
10_1101-2021_01_05_425266	482	15	Densely	densely	RB
10_1101-2021_01_05_425266	482	16	Connected	connected	JJ
10_1101-2021_01_05_425266	482	17	Fully	fully	RB
10_1101-2021_01_05_425266	482	18	Convolutional	Convolutional	NNP
10_1101-2021_01_05_425266	482	19	Network	Network	NNP
10_1101-2021_01_05_425266	482	20	for	for	IN
10_1101-2021_01_05_425266	482	21	Short	Short	NNP
10_1101-2021_01_05_425266	482	22	-	-	HYPH
10_1101-2021_01_05_425266	482	23	Axis	Axis	NNP
10_1101-2021_01_05_425266	482	24	Cardiac	Cardiac	NNP
10_1101-2021_01_05_425266	482	25	Cine	Cine	NNP
10_1101-2021_01_05_425266	482	26	MR	MR	NNP
10_1101-2021_01_05_425266	482	27	Image	Image	NNP
10_1101-2021_01_05_425266	482	28	Segmentation	Segmentation	NNP
10_1101-2021_01_05_425266	482	29	and	and	CC
10_1101-2021_01_05_425266	482	30	Heart	Heart	NNP
10_1101-2021_01_05_425266	482	31	Diagnosis	Diagnosis	NNP
10_1101-2021_01_05_425266	482	32	Using	use	VBG
10_1101-2021_01_05_425266	482	33	Random	Random	NNP
10_1101-2021_01_05_425266	482	34	Forest	Forest	NNP
10_1101-2021_01_05_425266	482	35	,	,	,
10_1101-2021_01_05_425266	482	36	”	"	''
10_1101-2021_01_05_425266	482	37	in	in	IN
10_1101-2021_01_05_425266	482	38	Statistical	Statistical	NNP
10_1101-2021_01_05_425266	482	39	Atlases	Atlases	NNPS
10_1101-2021_01_05_425266	482	40	and	and	CC
10_1101-2021_01_05_425266	482	41	Computational	Computational	NNP
10_1101-2021_01_05_425266	482	42	Models	Models	NNPS
10_1101-2021_01_05_425266	482	43	of	of	IN
10_1101-2021_01_05_425266	482	44	the	the	DT
10_1101-2021_01_05_425266	482	45	Heart	heart	NN
10_1101-2021_01_05_425266	482	46	.	.	.
10_1101-2021_01_05_425266	483	1	ACDC	ACDC	NNP
10_1101-2021_01_05_425266	483	2	and	and	CC
10_1101-2021_01_05_425266	483	3	MMWHS	MMWHS	NNP
10_1101-2021_01_05_425266	483	4	Challenges	Challenges	NNPS
10_1101-2021_01_05_425266	483	5	,	,	,
10_1101-2021_01_05_425266	483	6	vol	vol	NNP
10_1101-2021_01_05_425266	483	7	.	.	.
10_1101-2021_01_05_425266	484	1	10663	10663	CD
10_1101-2021_01_05_425266	484	2	,	,	,
10_1101-2021_01_05_425266	484	3	M.	M.	NNP
10_1101-2021_01_05_425266	484	4	Pop	Pop	NNP
10_1101-2021_01_05_425266	484	5	,	,	,
10_1101-2021_01_05_425266	484	6	M.	M.	NNP
10_1101-2021_01_05_425266	484	7	Sermesant	Sermesant	NNP
10_1101-2021_01_05_425266	484	8	,	,	,
10_1101-2021_01_05_425266	484	9	P.-M.	P.-M.	NNP
10_1101-2021_01_05_425266	484	10	Jodoin	Jodoin	NNP
10_1101-2021_01_05_425266	484	11	,	,	,
10_1101-2021_01_05_425266	484	12	A.	A.	NNP
10_1101-2021_01_05_425266	484	13	Lalande	Lalande	NNP
10_1101-2021_01_05_425266	484	14	,	,	,
10_1101-2021_01_05_425266	484	15	X.	X.	NNP
10_1101-2021_01_05_425266	484	16	Zhuang	Zhuang	NNP
10_1101-2021_01_05_425266	484	17	,	,	,
10_1101-2021_01_05_425266	484	18	G.	G.	NNP
10_1101-2021_01_05_425266	484	19	Yang	Yang	NNP
10_1101-2021_01_05_425266	484	20	,	,	,
10_1101-2021_01_05_425266	484	21	A.	a.	NN
10_1101-2021_01_05_425266	485	1	Young	young	JJ
10_1101-2021_01_05_425266	485	2	,	,	,
10_1101-2021_01_05_425266	485	3	and	and	CC
10_1101-2021_01_05_425266	485	4	O.	O.	NNP
10_1101-2021_01_05_425266	485	5	Bernard	Bernard	NNP
10_1101-2021_01_05_425266	485	6	,	,	,
10_1101-2021_01_05_425266	485	7	Eds	Eds	NNP
10_1101-2021_01_05_425266	485	8	.	.	.
10_1101-2021_01_05_425266	486	1	Cham	Cham	NNP
10_1101-2021_01_05_425266	486	2	:	:	:
10_1101-2021_01_05_425266	486	3	Springer	Springer	NNP
10_1101-2021_01_05_425266	486	4	International	International	NNP
10_1101-2021_01_05_425266	486	5	Publishing	Publishing	NNP
10_1101-2021_01_05_425266	486	6	,	,	,
10_1101-2021_01_05_425266	486	7	2018	2018	CD
10_1101-2021_01_05_425266	486	8	,	,	,
10_1101-2021_01_05_425266	486	9	pp	pp	NNP
10_1101-2021_01_05_425266	486	10	.	.	.
10_1101-2021_01_05_425266	487	1	140–151	140–151	CD
10_1101-2021_01_05_425266	487	2	.	.	.
10_1101-2021_01_05_425266	488	1	[	[	-LRB-
10_1101-2021_01_05_425266	488	2	46	46	CD
10_1101-2021_01_05_425266	488	3	]	]	-RRB-
10_1101-2021_01_05_425266	488	4	J.	J.	NNP
10_1101-2021_01_05_425266	489	1	A.	A.	NNP
10_1101-2021_01_05_425266	489	2	San	San	NNP
10_1101-2021_01_05_425266	489	3	Román	Román	NNP
10_1101-2021_01_05_425266	489	4	,	,	,
10_1101-2021_01_05_425266	489	5	J.	J.	NNP
10_1101-2021_01_05_425266	489	6	Candell	Candell	NNP
10_1101-2021_01_05_425266	489	7	-	-	HYPH
10_1101-2021_01_05_425266	489	8	Riera	Riera	NNP
10_1101-2021_01_05_425266	489	9	,	,	,
10_1101-2021_01_05_425266	489	10	R.	R.	NNP
10_1101-2021_01_05_425266	489	11	Arnold	Arnold	NNP
10_1101-2021_01_05_425266	489	12	,	,	,
10_1101-2021_01_05_425266	489	13	P.	P.	NNP
10_1101-2021_01_05_425266	489	14	L.	L.	NNP
10_1101-2021_01_05_425266	489	15	Sánchez	Sánchez	NNP
10_1101-2021_01_05_425266	489	16	,	,	,
10_1101-2021_01_05_425266	489	17	S.	S.	NNP
10_1101-2021_01_05_425266	489	18	Aguadé	Aguadé	NNP
10_1101-2021_01_05_425266	489	19	-	-	HYPH
10_1101-2021_01_05_425266	489	20	Bruix	Bruix	NNP
10_1101-2021_01_05_425266	489	21	,	,	,
10_1101-2021_01_05_425266	489	22	J.	J.	NNP
10_1101-2021_01_05_425266	489	23	Bermejo	Bermejo	NNP
10_1101-2021_01_05_425266	489	24	,	,	,
10_1101-2021_01_05_425266	489	25	A.	a.	NN
10_1101-2021_01_05_425266	489	26	Revilla	Revilla	NNP
10_1101-2021_01_05_425266	489	27	,	,	,
10_1101-2021_01_05_425266	489	28	A.	a.	NN
10_1101-2021_01_05_425266	489	29	Villa	Villa	NNP
10_1101-2021_01_05_425266	489	30	,	,	,
10_1101-2021_01_05_425266	489	31	H.	H.	NNP
10_1101-2021_01_05_425266	489	32	Cuéllar	Cuéllar	NNP
10_1101-2021_01_05_425266	489	33	,	,	,
10_1101-2021_01_05_425266	489	34	C.	C.	NNP
10_1101-2021_01_05_425266	489	35	Hernández	Hernández	NNP
10_1101-2021_01_05_425266	489	36	,	,	,
10_1101-2021_01_05_425266	489	37	and	and	CC
10_1101-2021_01_05_425266	489	38	F.	F.	NNP
10_1101-2021_01_05_425266	489	39	Fernández	Fernández	NNP
10_1101-2021_01_05_425266	489	40	-	-	HYPH
10_1101-2021_01_05_425266	489	41	Avilés	Avilés	NNP
10_1101-2021_01_05_425266	489	42	,	,	,
10_1101-2021_01_05_425266	489	43	“	"	``
10_1101-2021_01_05_425266	489	44	Quantitative	quantitative	JJ
10_1101-2021_01_05_425266	489	45	Analysis	analysis	NN
10_1101-2021_01_05_425266	489	46	of	of	IN
10_1101-2021_01_05_425266	489	47	Left	Left	NNP
10_1101-2021_01_05_425266	489	48	Ventricular	Ventricular	NNP
10_1101-2021_01_05_425266	489	49	Function	Function	NNP
10_1101-2021_01_05_425266	489	50	as	as	IN
10_1101-2021_01_05_425266	489	51	a	a	DT
10_1101-2021_01_05_425266	489	52	Tool	Tool	NNP
10_1101-2021_01_05_425266	489	53	in	in	IN
10_1101-2021_01_05_425266	489	54	Clinical	Clinical	NNP
10_1101-2021_01_05_425266	489	55	Research	Research	NNP
10_1101-2021_01_05_425266	489	56	.	.	.
10_1101-2021_01_05_425266	490	1	Theoretical	theoretical	JJ
10_1101-2021_01_05_425266	490	2	Basis	Basis	NNP
10_1101-2021_01_05_425266	490	3	and	and	CC
10_1101-2021_01_05_425266	490	4	Methodology	Methodology	NNP
10_1101-2021_01_05_425266	490	5	,	,	,
10_1101-2021_01_05_425266	490	6	”	"	''
10_1101-2021_01_05_425266	490	7	Revista	Revista	NNP
10_1101-2021_01_05_425266	490	8	Española	Española	NNP
10_1101-2021_01_05_425266	490	9	de	de	IN
10_1101-2021_01_05_425266	490	10	Cardiología	Cardiología	NNP
10_1101-2021_01_05_425266	490	11	(	(	-LRB-
10_1101-2021_01_05_425266	490	12	English	English	NNP
10_1101-2021_01_05_425266	490	13	Edition	Edition	NNP
10_1101-2021_01_05_425266	490	14	)	)	-RRB-
10_1101-2021_01_05_425266	490	15	,	,	,
10_1101-2021_01_05_425266	490	16	vol	vol	NNP
10_1101-2021_01_05_425266	490	17	.	.	.
10_1101-2021_01_05_425266	491	1	62	62	CD
10_1101-2021_01_05_425266	491	2	,	,	,
10_1101-2021_01_05_425266	491	3	no	no	UH
10_1101-2021_01_05_425266	491	4	.	.	.
10_1101-2021_01_05_425266	492	1	5	5	CD
10_1101-2021_01_05_425266	492	2	,	,	,
10_1101-2021_01_05_425266	492	3	pp	pp	NNP
10_1101-2021_01_05_425266	492	4	.	.	.
10_1101-2021_01_05_425266	493	1	535–551	535–551	CD
10_1101-2021_01_05_425266	493	2	,	,	,
10_1101-2021_01_05_425266	493	3	May	May	NNP
10_1101-2021_01_05_425266	493	4	2009	2009	CD
10_1101-2021_01_05_425266	493	5	.	.	.
10_1101-2021_01_05_425266	494	1	[	[	-LRB-
10_1101-2021_01_05_425266	494	2	47	47	CD
10_1101-2021_01_05_425266	494	3	]	]	-RRB-
10_1101-2021_01_05_425266	494	4	J.	J.	NNP
10_1101-2021_01_05_425266	494	5	P.	P.	NNP
10_1101-2021_01_05_425266	494	6	Kelly	Kelly	NNP
10_1101-2021_01_05_425266	494	7	,	,	,
10_1101-2021_01_05_425266	494	8	R.	R.	NNP
10_1101-2021_01_05_425266	494	9	J.	J.	NNP
10_1101-2021_01_05_425266	494	10	Mentz	Mentz	NNP
10_1101-2021_01_05_425266	494	11	,	,	,
10_1101-2021_01_05_425266	494	12	A.	a.	NN
10_1101-2021_01_05_425266	494	13	Mebazaa	Mebazaa	NNP
10_1101-2021_01_05_425266	494	14	,	,	,
10_1101-2021_01_05_425266	494	15	A.	a.	NN
10_1101-2021_01_05_425266	495	1	A.	A.	NNP
10_1101-2021_01_05_425266	495	2	Voors	Voors	NNP
10_1101-2021_01_05_425266	495	3	,	,	,
10_1101-2021_01_05_425266	495	4	J.	J.	NNP
10_1101-2021_01_05_425266	495	5	Butler	Butler	NNP
10_1101-2021_01_05_425266	495	6	,	,	,
10_1101-2021_01_05_425266	495	7	L.	L.	NNP
10_1101-2021_01_05_425266	495	8	Roessig	Roessig	NNP
10_1101-2021_01_05_425266	495	9	,	,	,
10_1101-2021_01_05_425266	495	10	M.	M.	NNP
10_1101-2021_01_05_425266	495	11	Fiuzat	Fiuzat	NNP
10_1101-2021_01_05_425266	495	12	,	,	,
10_1101-2021_01_05_425266	495	13	F.	F.	NNP
10_1101-2021_01_05_425266	495	14	Zannad	Zannad	NNP
10_1101-2021_01_05_425266	495	15	,	,	,
10_1101-2021_01_05_425266	495	16	B.	B.	NNP
10_1101-2021_01_05_425266	495	17	Pitt	Pitt	NNP
10_1101-2021_01_05_425266	495	18	,	,	,
10_1101-2021_01_05_425266	495	19	C.	C.	NNP
10_1101-2021_01_05_425266	495	20	M.	M.	NNP
10_1101-2021_01_05_425266	495	21	O’Connor	O’Connor	NNP
10_1101-2021_01_05_425266	495	22	,	,	,
10_1101-2021_01_05_425266	495	23	and	and	CC
10_1101-2021_01_05_425266	495	24	C.	C.	NNP
10_1101-2021_01_05_425266	495	25	S.	S.	NNP
10_1101-2021_01_05_425266	495	26	P.	P.	NNP
10_1101-2021_01_05_425266	495	27	Lam	Lam	NNP
10_1101-2021_01_05_425266	495	28	,	,	,
10_1101-2021_01_05_425266	495	29	“	"	``
10_1101-2021_01_05_425266	495	30	Patient	Patient	NNP
10_1101-2021_01_05_425266	495	31	Selection	Selection	NNP
10_1101-2021_01_05_425266	495	32	in	in	IN
10_1101-2021_01_05_425266	495	33	Heart	heart	NN
10_1101-2021_01_05_425266	495	34	Failure	failure	NN
10_1101-2021_01_05_425266	495	35	With	with	IN
10_1101-2021_01_05_425266	495	36	Preserved	Preserved	NNP
10_1101-2021_01_05_425266	495	37	Ejection	Ejection	NNP
10_1101-2021_01_05_425266	495	38	Fraction	Fraction	NNP
10_1101-2021_01_05_425266	495	39	Clinical	Clinical	NNP
10_1101-2021_01_05_425266	495	40	Trials	Trials	NNPS
10_1101-2021_01_05_425266	495	41	,	,	,
10_1101-2021_01_05_425266	495	42	”	"	''
10_1101-2021_01_05_425266	495	43	Journal	Journal	NNP
10_1101-2021_01_05_425266	495	44	of	of	IN
10_1101-2021_01_05_425266	495	45	the	the	DT
10_1101-2021_01_05_425266	495	46	American	American	NNP
10_1101-2021_01_05_425266	495	47	College	College	NNP
10_1101-2021_01_05_425266	495	48	of	of	IN
10_1101-2021_01_05_425266	495	49	Cardiology	Cardiology	NNP
10_1101-2021_01_05_425266	495	50	,	,	,
10_1101-2021_01_05_425266	495	51	vol	vol	NNP
10_1101-2021_01_05_425266	495	52	.	.	.
10_1101-2021_01_05_425266	496	1	65	65	CD
10_1101-2021_01_05_425266	496	2	,	,	,
10_1101-2021_01_05_425266	496	3	no	no	UH
10_1101-2021_01_05_425266	496	4	.	.	.
10_1101-2021_01_05_425266	497	1	16	16	CD
10_1101-2021_01_05_425266	497	2	,	,	,
10_1101-2021_01_05_425266	497	3	pp	pp	NNP
10_1101-2021_01_05_425266	497	4	.	.	.
10_1101-2021_01_05_425266	498	1	1668–1682	1668–1682	CD
10_1101-2021_01_05_425266	498	2	,	,	,
10_1101-2021_01_05_425266	498	3	Apr.	April	NNP
10_1101-2021_01_05_425266	499	1	2015	2015	CD
10_1101-2021_01_05_425266	499	2	.	.	.
10_1101-2021_01_05_425266	500	1	[	[	-LRB-
10_1101-2021_01_05_425266	500	2	48	48	CD
10_1101-2021_01_05_425266	500	3	]	]	-RRB-
10_1101-2021_01_05_425266	500	4	B.	B.	NNP
10_1101-2021_01_05_425266	501	1	A.	A.	NNP
10_1101-2021_01_05_425266	501	2	Venkatesh	Venkatesh	NNP
10_1101-2021_01_05_425266	501	3	,	,	,
10_1101-2021_01_05_425266	501	4	S.	S.	NNP
10_1101-2021_01_05_425266	501	5	Donekal	Donekal	NNP
10_1101-2021_01_05_425266	501	6	,	,	,
10_1101-2021_01_05_425266	501	7	K.	K.	NNP
10_1101-2021_01_05_425266	501	8	Yoneyama	Yoneyama	NNP
10_1101-2021_01_05_425266	501	9	,	,	,
10_1101-2021_01_05_425266	501	10	C.	C.	NNP
10_1101-2021_01_05_425266	501	11	Wu	Wu	NNP
10_1101-2021_01_05_425266	501	12	,	,	,
10_1101-2021_01_05_425266	501	13	V.	V.	NNP
10_1101-2021_01_05_425266	501	14	R.	R.	NNP
10_1101-2021_01_05_425266	501	15	S.	S.	NNP
10_1101-2021_01_05_425266	501	16	Fernandes	Fernandes	NNP
10_1101-2021_01_05_425266	501	17	,	,	,
10_1101-2021_01_05_425266	501	18	B.	B.	NNP
10_1101-2021_01_05_425266	501	19	D.	D.	NNP
10_1101-2021_01_05_425266	501	20	Rosen	Rosen	NNP
10_1101-2021_01_05_425266	501	21	,	,	,
10_1101-2021_01_05_425266	501	22	M.	M.	NNP
10_1101-2021_01_05_425266	501	23	L.	L.	NNP
10_1101-2021_01_05_425266	501	24	Shehata	Shehata	NNP
10_1101-2021_01_05_425266	501	25	,	,	,
10_1101-2021_01_05_425266	501	26	R.	R.	NNP
10_1101-2021_01_05_425266	501	27	McClelland	McClelland	NNP
10_1101-2021_01_05_425266	501	28	,	,	,
10_1101-2021_01_05_425266	501	29	D.	D.	NNP
10_1101-2021_01_05_425266	501	30	A.	A.	NNP
10_1101-2021_01_05_425266	501	31	Bluemke	Bluemke	NNP
10_1101-2021_01_05_425266	501	32	,	,	,
10_1101-2021_01_05_425266	501	33	and	and	CC
10_1101-2021_01_05_425266	501	34	J.	J.	NNP
10_1101-2021_01_05_425266	502	1	A.	A.	NNP
10_1101-2021_01_05_425266	502	2	C.	C.	NNP
10_1101-2021_01_05_425266	502	3	Lima	Lima	NNP
10_1101-2021_01_05_425266	502	4	,	,	,
10_1101-2021_01_05_425266	502	5	“	"	``
10_1101-2021_01_05_425266	502	6	Regional	regional	JJ
10_1101-2021_01_05_425266	502	7	myocardial	myocardial	JJ
10_1101-2021_01_05_425266	502	8	functional	functional	JJ
10_1101-2021_01_05_425266	502	9	patterns	pattern	NNS
10_1101-2021_01_05_425266	502	10	:	:	:
10_1101-2021_01_05_425266	502	11	Quantitative	quantitative	JJ
10_1101-2021_01_05_425266	502	12	tagged	tag	VBN
10_1101-2021_01_05_425266	502	13	magnetic	magnetic	JJ
10_1101-2021_01_05_425266	502	14	resonance	resonance	NN
10_1101-2021_01_05_425266	502	15	imaging	imaging	NN
10_1101-2021_01_05_425266	502	16	in	in	IN
10_1101-2021_01_05_425266	502	17	an	an	DT
10_1101-2021_01_05_425266	502	18	adult	adult	NN
10_1101-2021_01_05_425266	502	19	population	population	NN
10_1101-2021_01_05_425266	502	20	free	free	JJ
10_1101-2021_01_05_425266	502	21	of	of	IN
10_1101-2021_01_05_425266	502	22	cardiovascular	cardiovascular	JJ
10_1101-2021_01_05_425266	502	23	risk	risk	NN
10_1101-2021_01_05_425266	502	24	factors	factor	NNS
10_1101-2021_01_05_425266	502	25	:	:	:
10_1101-2021_01_05_425266	502	26	The	the	DT
10_1101-2021_01_05_425266	502	27	multi	multi	JJ
10_1101-2021_01_05_425266	502	28	-	-	HYPH
10_1101-2021_01_05_425266	502	29	ethnic	ethnic	JJ
10_1101-2021_01_05_425266	502	30	study	study	NN
10_1101-2021_01_05_425266	502	31	of	of	IN
10_1101-2021_01_05_425266	502	32	atherosclerosis	atherosclerosis	NN
10_1101-2021_01_05_425266	502	33	(	(	-LRB-
10_1101-2021_01_05_425266	502	34	MESA	MESA	NNP
10_1101-2021_01_05_425266	502	35	)	)	-RRB-
10_1101-2021_01_05_425266	502	36	:	:	:
10_1101-2021_01_05_425266	502	37	Reference	reference	NN
10_1101-2021_01_05_425266	502	38	Values	value	NNS
10_1101-2021_01_05_425266	502	39	of	of	IN
10_1101-2021_01_05_425266	502	40	Strain	strain	NN
10_1101-2021_01_05_425266	502	41	From	from	IN
10_1101-2021_01_05_425266	502	42	Tagged	tag	VBN
10_1101-2021_01_05_425266	502	43	MRI	MRI	NNP
10_1101-2021_01_05_425266	502	44	,	,	,
10_1101-2021_01_05_425266	502	45	”	"	''
10_1101-2021_01_05_425266	502	46	J.	J.	NNP
10_1101-2021_01_05_425266	502	47	Magn	Magn	NNP
10_1101-2021_01_05_425266	502	48	.	.	.
10_1101-2021_01_05_425266	503	1	Reson	Reson	NNP
10_1101-2021_01_05_425266	503	2	.	.	.
10_1101-2021_01_05_425266	504	1	Imaging	Imaging	NNP
10_1101-2021_01_05_425266	504	2	,	,	,
10_1101-2021_01_05_425266	504	3	vol	vol	NNP
10_1101-2021_01_05_425266	504	4	.	.	.
10_1101-2021_01_05_425266	505	1	42	42	CD
10_1101-2021_01_05_425266	505	2	,	,	,
10_1101-2021_01_05_425266	505	3	no	no	UH
10_1101-2021_01_05_425266	505	4	.	.	.
10_1101-2021_01_05_425266	506	1	1	1	CD
10_1101-2021_01_05_425266	506	2	,	,	,
10_1101-2021_01_05_425266	506	3	pp	pp	NNP
10_1101-2021_01_05_425266	506	4	.	.	.
10_1101-2021_01_05_425266	507	1	153–159	153–159	CD
10_1101-2021_01_05_425266	507	2	,	,	,
10_1101-2021_01_05_425266	507	3	Jul.	July	NNP
10_1101-2021_01_05_425266	508	1	2015	2015	CD
10_1101-2021_01_05_425266	508	2	.	.	.
10_1101-2021_01_05_425266	509	1	[	[	-LRB-
10_1101-2021_01_05_425266	509	2	49	49	CD
10_1101-2021_01_05_425266	509	3	]	]	-RRB-
10_1101-2021_01_05_425266	509	4	D.	D.	NNP
10_1101-2021_01_05_425266	509	5	Muraru	Muraru	NNP
10_1101-2021_01_05_425266	509	6	,	,	,
10_1101-2021_01_05_425266	509	7	U.	U.	NNP
10_1101-2021_01_05_425266	509	8	Cucchini	Cucchini	NNP
10_1101-2021_01_05_425266	509	9	,	,	,
10_1101-2021_01_05_425266	509	10	S.	S.	NNP
10_1101-2021_01_05_425266	509	11	Mihăilă	Mihăilă	NNP
10_1101-2021_01_05_425266	509	12	,	,	,
10_1101-2021_01_05_425266	509	13	M.	M.	NNP
10_1101-2021_01_05_425266	509	14	H.	H.	NNP
10_1101-2021_01_05_425266	509	15	Miglioranza	Miglioranza	NNP
10_1101-2021_01_05_425266	509	16	,	,	,
10_1101-2021_01_05_425266	509	17	P.	P.	NNP
10_1101-2021_01_05_425266	509	18	Aruta	Aruta	NNP
10_1101-2021_01_05_425266	509	19	,	,	,
10_1101-2021_01_05_425266	509	20	G.	G.	NNP
10_1101-2021_01_05_425266	509	21	Cavalli	Cavalli	NNP
10_1101-2021_01_05_425266	509	22	,	,	,
10_1101-2021_01_05_425266	509	23	A.	A.	NNP
10_1101-2021_01_05_425266	509	24	Cecchetto	Cecchetto	NNP
10_1101-2021_01_05_425266	509	25	,	,	,
10_1101-2021_01_05_425266	509	26	S.	S.	NNP
10_1101-2021_01_05_425266	509	27	Padayattil	Padayattil	NNP
10_1101-2021_01_05_425266	509	28	-	-	HYPH
10_1101-2021_01_05_425266	509	29	Josè	Josè	NNP
10_1101-2021_01_05_425266	509	30	,	,	,
10_1101-2021_01_05_425266	509	31	D.	D.	NNP
10_1101-2021_01_05_425266	509	32	Peluso	Peluso	NNP
10_1101-2021_01_05_425266	509	33	,	,	,
10_1101-2021_01_05_425266	509	34	S.	S.	NNP
10_1101-2021_01_05_425266	509	35	Iliceto	Iliceto	NNP
10_1101-2021_01_05_425266	509	36	,	,	,
10_1101-2021_01_05_425266	509	37	and	and	CC
10_1101-2021_01_05_425266	509	38	L.	L.	NNP
10_1101-2021_01_05_425266	509	39	P.	P.	NNP
10_1101-2021_01_05_425266	509	40	Badano	Badano	NNP
10_1101-2021_01_05_425266	509	41	,	,	,
10_1101-2021_01_05_425266	509	42	“	"	``
10_1101-2021_01_05_425266	509	43	Left	left	JJ
10_1101-2021_01_05_425266	509	44	Ventricular	Ventricular	NNP
10_1101-2021_01_05_425266	509	45	Myocardial	Myocardial	NNP
10_1101-2021_01_05_425266	509	46	Strain	strain	NN
10_1101-2021_01_05_425266	509	47	by	by	IN
10_1101-2021_01_05_425266	509	48	Three	three	CD
10_1101-2021_01_05_425266	509	49	-	-	HYPH
10_1101-2021_01_05_425266	509	50	Dimensional	Dimensional	NNP
10_1101-2021_01_05_425266	509	51	Speckle	Speckle	NNP
10_1101-2021_01_05_425266	509	52	-	-	HYPH
10_1101-2021_01_05_425266	509	53	Tracking	Tracking	NNP
10_1101-2021_01_05_425266	509	54	Echocardiography	Echocardiography	NNP
10_1101-2021_01_05_425266	509	55	in	in	IN
10_1101-2021_01_05_425266	509	56	Healthy	healthy	JJ
10_1101-2021_01_05_425266	509	57	Subjects	subject	NNS
10_1101-2021_01_05_425266	509	58	:	:	:
10_1101-2021_01_05_425266	509	59	Reference	reference	NN
10_1101-2021_01_05_425266	509	60	Values	value	NNS
10_1101-2021_01_05_425266	509	61	and	and	CC
10_1101-2021_01_05_425266	509	62	Analysis	Analysis	NNP
10_1101-2021_01_05_425266	509	63	of	of	IN
10_1101-2021_01_05_425266	509	64	Their	-PRON-	PRP$
10_1101-2021_01_05_425266	509	65	Physiologic	Physiologic	NNP
10_1101-2021_01_05_425266	509	66	and	and	CC
10_1101-2021_01_05_425266	509	67	Technical	Technical	NNP
10_1101-2021_01_05_425266	509	68	Determinants	Determinants	NNPS
10_1101-2021_01_05_425266	509	69	,	,	,
10_1101-2021_01_05_425266	509	70	”	"	''
10_1101-2021_01_05_425266	509	71	Journal	Journal	NNP
10_1101-2021_01_05_425266	509	72	of	of	IN
10_1101-2021_01_05_425266	509	73	the	the	DT
10_1101-2021_01_05_425266	509	74	American	American	NNP
10_1101-2021_01_05_425266	509	75	Society	Society	NNP
10_1101-2021_01_05_425266	509	76	of	of	IN
10_1101-2021_01_05_425266	509	77	Echocardiography	Echocardiography	NNP
10_1101-2021_01_05_425266	509	78	,	,	,
10_1101-2021_01_05_425266	509	79	vol	vol	NNP
10_1101-2021_01_05_425266	509	80	.	.	.
10_1101-2021_01_05_425266	510	1	27	27	CD
10_1101-2021_01_05_425266	510	2	,	,	,
10_1101-2021_01_05_425266	510	3	no	no	UH
10_1101-2021_01_05_425266	510	4	.	.	.
10_1101-2021_01_05_425266	511	1	8	8	CD
10_1101-2021_01_05_425266	511	2	,	,	,
10_1101-2021_01_05_425266	511	3	pp	pp	NNP
10_1101-2021_01_05_425266	511	4	.	.	.
10_1101-2021_01_05_425266	512	1	858	858	CD
10_1101-2021_01_05_425266	512	2	-	-	SYM
10_1101-2021_01_05_425266	512	3	871.e1	871.e1	CD
10_1101-2021_01_05_425266	512	4	,	,	,
10_1101-2021_01_05_425266	512	5	Aug.	August	NNP
10_1101-2021_01_05_425266	512	6	2014	2014	CD
10_1101-2021_01_05_425266	512	7	.	.	.
10_1101-2021_01_05_425266	513	1	[	[	-LRB-
10_1101-2021_01_05_425266	513	2	50	50	CD
10_1101-2021_01_05_425266	513	3	]	]	-RRB-
10_1101-2021_01_05_425266	513	4	Z.	Z.	NNP
10_1101-2021_01_05_425266	513	5	Gan	Gan	NNP
10_1101-2021_01_05_425266	513	6	,	,	,
10_1101-2021_01_05_425266	513	7	J.	J.	NNP
10_1101-2021_01_05_425266	513	8	Tang	Tang	NNP
10_1101-2021_01_05_425266	513	9	,	,	,
10_1101-2021_01_05_425266	513	10	and	and	CC
10_1101-2021_01_05_425266	513	11	X.	X.	NNP
10_1101-2021_01_05_425266	513	12	Yang	Yang	NNP
10_1101-2021_01_05_425266	513	13	,	,	,
10_1101-2021_01_05_425266	513	14	“	"	``
10_1101-2021_01_05_425266	513	15	Left	leave	VBD
10_1101-2021_01_05_425266	513	16	Ventricle	Ventricle	NNP
10_1101-2021_01_05_425266	513	17	Motion	Motion	NNP
10_1101-2021_01_05_425266	513	18	Estimation	Estimation	NNP
10_1101-2021_01_05_425266	513	19	Based	base	VBN
10_1101-2021_01_05_425266	513	20	on	on	IN
10_1101-2021_01_05_425266	513	21	Unsupervised	Unsupervised	NNP
10_1101-2021_01_05_425266	513	22	Recurrent	Recurrent	NNP
10_1101-2021_01_05_425266	513	23	Neural	Neural	NNP
10_1101-2021_01_05_425266	513	24	Network	Network	NNP
10_1101-2021_01_05_425266	513	25	,	,	,
10_1101-2021_01_05_425266	513	26	”	"	''
10_1101-2021_01_05_425266	513	27	in	in	IN
10_1101-2021_01_05_425266	513	28	2019	2019	CD
10_1101-2021_01_05_425266	513	29	IEEE	IEEE	NNP
10_1101-2021_01_05_425266	513	30	International	International	NNP
10_1101-2021_01_05_425266	513	31	Conference	Conference	NNP
10_1101-2021_01_05_425266	513	32	on	on	IN
10_1101-2021_01_05_425266	513	33	Bioinformatics	Bioinformatics	NNP
10_1101-2021_01_05_425266	513	34	and	and	CC
10_1101-2021_01_05_425266	513	35	Biomedicine	Biomedicine	NNP
10_1101-2021_01_05_425266	513	36	(	(	-LRB-
10_1101-2021_01_05_425266	513	37	BIBM	BIBM	NNP
10_1101-2021_01_05_425266	513	38	)	)	-RRB-
10_1101-2021_01_05_425266	513	39	,	,	,
10_1101-2021_01_05_425266	513	40	San	San	NNP
10_1101-2021_01_05_425266	513	41	Diego	Diego	NNP
10_1101-2021_01_05_425266	513	42	,	,	,
10_1101-2021_01_05_425266	513	43	CA	CA	NNP
10_1101-2021_01_05_425266	513	44	,	,	,
10_1101-2021_01_05_425266	513	45	USA	USA	NNP
10_1101-2021_01_05_425266	513	46	,	,	,
10_1101-2021_01_05_425266	513	47	2019	2019	CD
10_1101-2021_01_05_425266	513	48	,	,	,
10_1101-2021_01_05_425266	513	49	pp	pp	NNP
10_1101-2021_01_05_425266	513	50	.	.	.
10_1101-2021_01_05_425266	514	1	2342–2349	2342–2349	CD
10_1101-2021_01_05_425266	514	2	.	.	.
10_1101-2021_01_05_425266	515	1	[	[	-LRB-
10_1101-2021_01_05_425266	515	2	51	51	CD
10_1101-2021_01_05_425266	515	3	]	]	-RRB-
10_1101-2021_01_05_425266	515	4	A.	a.	NN
10_1101-2021_01_05_425266	515	5	Fry	Fry	NNP
10_1101-2021_01_05_425266	515	6	,	,	,
10_1101-2021_01_05_425266	515	7	T.	T.	NNP
10_1101-2021_01_05_425266	515	8	J.	J.	NNP
10_1101-2021_01_05_425266	515	9	Littlejohns	Littlejohns	NNP
10_1101-2021_01_05_425266	515	10	,	,	,
10_1101-2021_01_05_425266	515	11	C.	C.	NNP
10_1101-2021_01_05_425266	515	12	Sudlow	Sudlow	NNP
10_1101-2021_01_05_425266	515	13	,	,	,
10_1101-2021_01_05_425266	515	14	N.	N.	NNP
10_1101-2021_01_05_425266	515	15	Doherty	Doherty	NNP
10_1101-2021_01_05_425266	515	16	,	,	,
10_1101-2021_01_05_425266	515	17	L.	L.	NNP
10_1101-2021_01_05_425266	515	18	Adamska	Adamska	NNP
10_1101-2021_01_05_425266	515	19	,	,	,
10_1101-2021_01_05_425266	515	20	T.	T.	NNP
10_1101-2021_01_05_425266	515	21	Sprosen	Sprosen	NNP
10_1101-2021_01_05_425266	515	22	,	,	,
10_1101-2021_01_05_425266	515	23	R.	R.	NNP
10_1101-2021_01_05_425266	515	24	Collins	Collins	NNP
10_1101-2021_01_05_425266	515	25	,	,	,
10_1101-2021_01_05_425266	515	26	and	and	CC
10_1101-2021_01_05_425266	515	27	N.	N.	NNP
10_1101-2021_01_05_425266	515	28	E.	E.	NNP
10_1101-2021_01_05_425266	515	29	Allen	Allen	NNP
10_1101-2021_01_05_425266	515	30	,	,	,
10_1101-2021_01_05_425266	515	31	“	"	``
10_1101-2021_01_05_425266	515	32	Comparison	Comparison	NNP
10_1101-2021_01_05_425266	515	33	of	of	IN
10_1101-2021_01_05_425266	515	34	Sociodemographic	Sociodemographic	NNP
10_1101-2021_01_05_425266	515	35	and	and	CC
10_1101-2021_01_05_425266	515	36	Health	Health	NNP
10_1101-2021_01_05_425266	515	37	-	-	HYPH
10_1101-2021_01_05_425266	515	38	Related	Related	NNP
10_1101-2021_01_05_425266	515	39	Characteristics	Characteristics	NNPS
10_1101-2021_01_05_425266	515	40	of	of	IN
10_1101-2021_01_05_425266	515	41	UK	UK	NNP
10_1101-2021_01_05_425266	515	42	Biobank	Biobank	NNP
10_1101-2021_01_05_425266	515	43	Participants	Participants	NNPS
10_1101-2021_01_05_425266	515	44	With	with	IN
10_1101-2021_01_05_425266	515	45	Those	those	DT
10_1101-2021_01_05_425266	515	46	of	of	IN
10_1101-2021_01_05_425266	515	47	the	the	DT
10_1101-2021_01_05_425266	515	48	General	General	NNP
10_1101-2021_01_05_425266	515	49	Population	Population	NNP
10_1101-2021_01_05_425266	515	50	,	,	,
10_1101-2021_01_05_425266	515	51	”	"	''
10_1101-2021_01_05_425266	515	52	American	American	NNP
10_1101-2021_01_05_425266	515	53	Journal	Journal	NNP
10_1101-2021_01_05_425266	515	54	of	of	IN
10_1101-2021_01_05_425266	515	55	Epidemiology	Epidemiology	NNP
10_1101-2021_01_05_425266	515	56	,	,	,
10_1101-2021_01_05_425266	515	57	vol	vol	NNP
10_1101-2021_01_05_425266	515	58	.	.	.
10_1101-2021_01_05_425266	516	1	186	186	CD
10_1101-2021_01_05_425266	516	2	,	,	,
10_1101-2021_01_05_425266	516	3	no	no	UH
10_1101-2021_01_05_425266	516	4	.	.	.
10_1101-2021_01_05_425266	517	1	9	9	CD
10_1101-2021_01_05_425266	517	2	,	,	,
10_1101-2021_01_05_425266	517	3	pp	pp	NNP
10_1101-2021_01_05_425266	517	4	.	.	.
10_1101-2021_01_05_425266	518	1	1026–1034	1026–1034	CD
10_1101-2021_01_05_425266	518	2	,	,	,
10_1101-2021_01_05_425266	518	3	Nov.	November	NNP
10_1101-2021_01_05_425266	518	4	2017	2017	CD
10_1101-2021_01_05_425266	518	5	.	.	.
10_1101-2021_01_05_425266	519	1	[	[	-LRB-
10_1101-2021_01_05_425266	519	2	52	52	CD
10_1101-2021_01_05_425266	519	3	]	]	-RRB-
10_1101-2021_01_05_425266	519	4	S.	S.	NNP
10_1101-2021_01_05_425266	519	5	Chen	Chen	NNP
10_1101-2021_01_05_425266	519	6	,	,	,
10_1101-2021_01_05_425266	519	7	J.	J.	NNP
10_1101-2021_01_05_425266	519	8	Yuan	Yuan	NNP
10_1101-2021_01_05_425266	519	9	,	,	,
10_1101-2021_01_05_425266	519	10	S.	S.	NNP
10_1101-2021_01_05_425266	519	11	Qiao	Qiao	NNP
10_1101-2021_01_05_425266	519	12	,	,	,
10_1101-2021_01_05_425266	519	13	F.	F.	NNP
10_1101-2021_01_05_425266	519	14	Duan	Duan	NNP
10_1101-2021_01_05_425266	519	15	,	,	,
10_1101-2021_01_05_425266	519	16	J.	J.	NNP
10_1101-2021_01_05_425266	519	17	Zhang	Zhang	NNP
10_1101-2021_01_05_425266	519	18	,	,	,
10_1101-2021_01_05_425266	519	19	and	and	CC
10_1101-2021_01_05_425266	519	20	H.	H.	NNP
10_1101-2021_01_05_425266	519	21	Wang	Wang	NNP
10_1101-2021_01_05_425266	519	22	,	,	,
10_1101-2021_01_05_425266	519	23	“	"	``
10_1101-2021_01_05_425266	519	24	Evaluation	evaluation	NN
10_1101-2021_01_05_425266	519	25	of	of	IN
10_1101-2021_01_05_425266	519	26	Left	Left	NNP
10_1101-2021_01_05_425266	519	27	Ventricular	Ventricular	NNP
10_1101-2021_01_05_425266	519	28	Diastolic	Diastolic	NNP
10_1101-2021_01_05_425266	519	29	Function	Function	NNP
10_1101-2021_01_05_425266	519	30	by	by	IN
10_1101-2021_01_05_425266	519	31	Global	Global	NNP
10_1101-2021_01_05_425266	519	32	Strain	Strain	NNP
10_1101-2021_01_05_425266	519	33	Rate	Rate	NNP
10_1101-2021_01_05_425266	519	34	Imaging	Imaging	NNP
10_1101-2021_01_05_425266	519	35	in	in	IN
10_1101-2021_01_05_425266	519	36	Patients	Patients	NNPS
10_1101-2021_01_05_425266	519	37	with	with	IN
10_1101-2021_01_05_425266	519	38	Obstructive	obstructive	JJ
10_1101-2021_01_05_425266	519	39	Hypertrophic	Hypertrophic	NNP
10_1101-2021_01_05_425266	519	40	Cardiomyopathy	Cardiomyopathy	NNP
10_1101-2021_01_05_425266	519	41	:	:	:
10_1101-2021_01_05_425266	519	42	A	a	DT
10_1101-2021_01_05_425266	519	43	Simultaneous	simultaneous	JJ
10_1101-2021_01_05_425266	519	44	Speckle	Speckle	NNP
10_1101-2021_01_05_425266	519	45	Tracking	Tracking	NNP
10_1101-2021_01_05_425266	519	46	Echocardiography	Echocardiography	NNP
10_1101-2021_01_05_425266	519	47	and	and	CC
10_1101-2021_01_05_425266	519	48	Cardiac	Cardiac	NNP
10_1101-2021_01_05_425266	519	49	Catheterization	Catheterization	NNP
10_1101-2021_01_05_425266	519	50	Study	Study	NNP
10_1101-2021_01_05_425266	519	51	,	,	,
10_1101-2021_01_05_425266	519	52	”	"	''
10_1101-2021_01_05_425266	519	53	Echocardiography	Echocardiography	NNP
10_1101-2021_01_05_425266	519	54	,	,	,
10_1101-2021_01_05_425266	519	55	vol	vol	NNP
10_1101-2021_01_05_425266	519	56	.	.	.
10_1101-2021_01_05_425266	520	1	31	31	CD
10_1101-2021_01_05_425266	520	2	,	,	,
10_1101-2021_01_05_425266	520	3	no	no	UH
10_1101-2021_01_05_425266	520	4	.	.	.
10_1101-2021_01_05_425266	521	1	5	5	CD
10_1101-2021_01_05_425266	521	2	,	,	,
10_1101-2021_01_05_425266	521	3	pp	pp	NNP
10_1101-2021_01_05_425266	521	4	.	.	.
10_1101-2021_01_05_425266	522	1	615–622	615–622	CD
10_1101-2021_01_05_425266	522	2	,	,	,
10_1101-2021_01_05_425266	522	3	May	May	NNP
10_1101-2021_01_05_425266	522	4	2014	2014	CD
10_1101-2021_01_05_425266	522	5	.	.	.
10_1101-2021_01_05_425266	523	1	[	[	-LRB-
10_1101-2021_01_05_425266	523	2	53	53	CD
10_1101-2021_01_05_425266	523	3	]	]	-RRB-
10_1101-2021_01_05_425266	523	4	A.	a.	NN
10_1101-2021_01_05_425266	523	5	J.	J.	NNP
10_1101-2021_01_05_425266	523	6	Marian	Marian	NNP
10_1101-2021_01_05_425266	523	7	and	and	CC
10_1101-2021_01_05_425266	523	8	E.	E.	NNP
10_1101-2021_01_05_425266	523	9	Braunwald	Braunwald	NNP
10_1101-2021_01_05_425266	523	10	,	,	,
10_1101-2021_01_05_425266	523	11	“	"	``
10_1101-2021_01_05_425266	523	12	Hypertrophic	Hypertrophic	NNP
10_1101-2021_01_05_425266	523	13	Cardiomyopathy	Cardiomyopathy	NNP
10_1101-2021_01_05_425266	523	14	:	:	:
10_1101-2021_01_05_425266	523	15	Genetics	Genetics	NNP
10_1101-2021_01_05_425266	523	16	,	,	,
10_1101-2021_01_05_425266	523	17	Pathogenesis	Pathogenesis	NNP
10_1101-2021_01_05_425266	523	18	,	,	,
10_1101-2021_01_05_425266	523	19	Clinical	Clinical	NNP
10_1101-2021_01_05_425266	523	20	Manifestations	Manifestations	NNPS
10_1101-2021_01_05_425266	523	21	,	,	,
10_1101-2021_01_05_425266	523	22	Diagnosis	Diagnosis	NNP
10_1101-2021_01_05_425266	523	23	,	,	,
10_1101-2021_01_05_425266	523	24	and	and	CC
10_1101-2021_01_05_425266	523	25	Therapy	therapy	NN
10_1101-2021_01_05_425266	523	26	,	,	,
10_1101-2021_01_05_425266	523	27	”	"	''
10_1101-2021_01_05_425266	523	28	Circ	Circ	NNP
10_1101-2021_01_05_425266	523	29	Res	Res	NNP
10_1101-2021_01_05_425266	523	30	,	,	,
10_1101-2021_01_05_425266	523	31	vol	vol	NNP
10_1101-2021_01_05_425266	523	32	.	.	.
10_1101-2021_01_05_425266	524	1	121	121	CD
10_1101-2021_01_05_425266	524	2	,	,	,
10_1101-2021_01_05_425266	524	3	no	no	UH
10_1101-2021_01_05_425266	524	4	.	.	.
10_1101-2021_01_05_425266	525	1	7	7	CD
10_1101-2021_01_05_425266	525	2	,	,	,
10_1101-2021_01_05_425266	525	3	pp	pp	NNP
10_1101-2021_01_05_425266	525	4	.	.	.
10_1101-2021_01_05_425266	526	1	749–770	749–770	CD
10_1101-2021_01_05_425266	526	2	,	,	,
10_1101-2021_01_05_425266	526	3	Sep.	September	NNP
10_1101-2021_01_05_425266	526	4	2017	2017	CD
10_1101-2021_01_05_425266	526	5	.	.	.
10_1101-2021_01_05_425266	527	1	[	[	-LRB-
10_1101-2021_01_05_425266	527	2	54	54	CD
10_1101-2021_01_05_425266	527	3	]	]	-RRB-
10_1101-2021_01_05_425266	527	4	M.	M.	NNP
10_1101-2021_01_05_425266	527	5	J.	J.	NNP
10_1101-2021_01_05_425266	527	6	W.	W.	NNP
10_1101-2021_01_05_425266	527	7	Götte	Götte	NNP
10_1101-2021_01_05_425266	527	8	,	,	,
10_1101-2021_01_05_425266	527	9	A.	a.	NN
10_1101-2021_01_05_425266	527	10	C.	C.	NNP
10_1101-2021_01_05_425266	527	11	van	van	NNP
10_1101-2021_01_05_425266	527	12	Rossum	Rossum	NNP
10_1101-2021_01_05_425266	527	13	,	,	,
10_1101-2021_01_05_425266	527	14	J.	J.	NNP
10_1101-2021_01_05_425266	527	15	W.	W.	NNP
10_1101-2021_01_05_425266	527	16	R.	R.	NNP
10_1101-2021_01_05_425266	527	17	Twisk	Twisk	NNP
10_1101-2021_01_05_425266	527	18	,	,	,
10_1101-2021_01_05_425266	527	19	J.	J.	NNP
10_1101-2021_01_05_425266	527	20	P.	P.	NNP
10_1101-2021_01_05_425266	527	21	A.	A.	NNP
10_1101-2021_01_05_425266	527	22	Kuijer	Kuijer	NNP
10_1101-2021_01_05_425266	527	23	,	,	,
10_1101-2021_01_05_425266	527	24	J.	J.	NNP
10_1101-2021_01_05_425266	527	25	T.	T.	NNP
10_1101-2021_01_05_425266	527	26	Marcus	Marcus	NNP
10_1101-2021_01_05_425266	527	27	,	,	,
10_1101-2021_01_05_425266	527	28	and	and	CC
10_1101-2021_01_05_425266	527	29	C.	C.	NNP
10_1101-2021_01_05_425266	527	30	A.	a.	NN
10_1101-2021_01_05_425266	527	31	Visser	Visser	NNP
10_1101-2021_01_05_425266	527	32	,	,	,
10_1101-2021_01_05_425266	527	33	“	"	``
10_1101-2021_01_05_425266	527	34	Quantification	quantification	NN
10_1101-2021_01_05_425266	527	35	of	of	IN
10_1101-2021_01_05_425266	527	36	regional	regional	JJ
10_1101-2021_01_05_425266	527	37	contractile	contractile	NN
10_1101-2021_01_05_425266	527	38	function	function	NN
10_1101-2021_01_05_425266	527	39	after	after	IN
10_1101-2021_01_05_425266	527	40	infarction	infarction	NN
10_1101-2021_01_05_425266	527	41	:	:	:
10_1101-2021_01_05_425266	527	42	strain	strain	VB
10_1101-2021_01_05_425266	527	43	analysis	analysis	NN
10_1101-2021_01_05_425266	527	44	superior	superior	JJ
10_1101-2021_01_05_425266	527	45	to	to	IN
10_1101-2021_01_05_425266	527	46	wall	wall	NNP
10_1101-2021_01_05_425266	527	47	thickening	thicken	VBG
10_1101-2021_01_05_425266	527	48	analysis	analysis	NN
10_1101-2021_01_05_425266	527	49	in	in	IN
10_1101-2021_01_05_425266	527	50	discriminating	discriminate	VBG
10_1101-2021_01_05_425266	527	51	infarct	infarct	JJ
10_1101-2021_01_05_425266	527	52	from	from	IN
10_1101-2021_01_05_425266	527	53	remote	remote	JJ
10_1101-2021_01_05_425266	527	54	myocardium	myocardium	NN
10_1101-2021_01_05_425266	527	55	,	,	,
10_1101-2021_01_05_425266	527	56	”	"	''
10_1101-2021_01_05_425266	527	57	Journal	Journal	NNP
10_1101-2021_01_05_425266	527	58	of	of	IN
10_1101-2021_01_05_425266	527	59	the	the	DT
10_1101-2021_01_05_425266	527	60	American	American	NNP
10_1101-2021_01_05_425266	527	61	College	College	NNP
10_1101-2021_01_05_425266	527	62	of	of	IN
10_1101-2021_01_05_425266	527	63	Cardiology	Cardiology	NNP
10_1101-2021_01_05_425266	527	64	,	,	,
10_1101-2021_01_05_425266	527	65	vol	vol	NNP
10_1101-2021_01_05_425266	527	66	.	.	.
10_1101-2021_01_05_425266	528	1	37	37	CD
10_1101-2021_01_05_425266	528	2	,	,	,
10_1101-2021_01_05_425266	528	3	no	no	UH
10_1101-2021_01_05_425266	528	4	.	.	.
10_1101-2021_01_05_425266	529	1	3	3	CD
10_1101-2021_01_05_425266	529	2	,	,	,
10_1101-2021_01_05_425266	529	3	pp	pp	NNP
10_1101-2021_01_05_425266	529	4	.	.	.
10_1101-2021_01_05_425266	530	1	808–817	808–817	CD
10_1101-2021_01_05_425266	530	2	,	,	,
10_1101-2021_01_05_425266	530	3	Mar.	March	NNP
10_1101-2021_01_05_425266	531	1	2001	2001	CD
10_1101-2021_01_05_425266	531	2	.	.	.
10_1101-2021_01_05_425266	532	1	[	[	-LRB-
10_1101-2021_01_05_425266	532	2	55	55	CD
10_1101-2021_01_05_425266	532	3	]	]	-RRB-
10_1101-2021_01_05_425266	532	4	N.	N.	NNP
10_1101-2021_01_05_425266	532	5	Zhang	Zhang	NNP
10_1101-2021_01_05_425266	532	6	,	,	,
10_1101-2021_01_05_425266	532	7	G.	G.	NNP
10_1101-2021_01_05_425266	532	8	Yang	Yang	NNP
10_1101-2021_01_05_425266	532	9	,	,	,
10_1101-2021_01_05_425266	532	10	Z.	Z.	NNP
10_1101-2021_01_05_425266	532	11	Gao	Gao	NNP
10_1101-2021_01_05_425266	532	12	,	,	,
10_1101-2021_01_05_425266	532	13	C.	C.	NNP
10_1101-2021_01_05_425266	532	14	Xu	Xu	NNP
10_1101-2021_01_05_425266	532	15	,	,	,
10_1101-2021_01_05_425266	532	16	Y.	Y.	NNP
10_1101-2021_01_05_425266	532	17	Zhang	Zhang	NNP
10_1101-2021_01_05_425266	532	18	,	,	,
10_1101-2021_01_05_425266	532	19	R.	R.	NNP
10_1101-2021_01_05_425266	532	20	Shi	Shi	NNP
10_1101-2021_01_05_425266	532	21	,	,	,
10_1101-2021_01_05_425266	532	22	J.	J.	NNP
10_1101-2021_01_05_425266	532	23	Keegan	Keegan	NNP
10_1101-2021_01_05_425266	532	24	,	,	,
10_1101-2021_01_05_425266	532	25	L.	L.	NNP
10_1101-2021_01_05_425266	532	26	Xu	Xu	NNP
10_1101-2021_01_05_425266	532	27	,	,	,
10_1101-2021_01_05_425266	532	28	H.	H.	NNP
10_1101-2021_01_05_425266	532	29	Zhang	Zhang	NNP
10_1101-2021_01_05_425266	532	30	,	,	,
10_1101-2021_01_05_425266	532	31	Z.	Z.	NNP
10_1101-2021_01_05_425266	533	1	Fan	Fan	NNP
10_1101-2021_01_05_425266	533	2	,	,	,
10_1101-2021_01_05_425266	533	3	and	and	CC
10_1101-2021_01_05_425266	533	4	D.	D.	NNP
10_1101-2021_01_05_425266	533	5	Firmin	Firmin	NNP
10_1101-2021_01_05_425266	533	6	,	,	,
10_1101-2021_01_05_425266	533	7	“	"	``
10_1101-2021_01_05_425266	533	8	Deep	deep	JJ
10_1101-2021_01_05_425266	533	9	Learning	Learning	NNP
10_1101-2021_01_05_425266	533	10	for	for	IN
10_1101-2021_01_05_425266	533	11	Diagnosis	Diagnosis	NNP
10_1101-2021_01_05_425266	533	12	of	of	IN
10_1101-2021_01_05_425266	533	13	Chronic	Chronic	NNP
10_1101-2021_01_05_425266	533	14	Myocardial	Myocardial	NNP
10_1101-2021_01_05_425266	533	15	Infarction	Infarction	NNP
10_1101-2021_01_05_425266	533	16	on	on	IN
10_1101-2021_01_05_425266	533	17	Nonenhanced	Nonenhanced	NNP
10_1101-2021_01_05_425266	533	18	Cardiac	Cardiac	NNP
10_1101-2021_01_05_425266	533	19	Cine	Cine	NNP
10_1101-2021_01_05_425266	533	20	MRI	MRI	NNP
10_1101-2021_01_05_425266	533	21	,	,	,
10_1101-2021_01_05_425266	533	22	”	"	''
10_1101-2021_01_05_425266	533	23	Radiology	Radiology	NNP
10_1101-2021_01_05_425266	533	24	,	,	,
10_1101-2021_01_05_425266	533	25	vol	vol	NNP
10_1101-2021_01_05_425266	533	26	.	.	.
10_1101-2021_01_05_425266	534	1	291	291	CD
10_1101-2021_01_05_425266	534	2	,	,	,
10_1101-2021_01_05_425266	534	3	no	no	UH
10_1101-2021_01_05_425266	534	4	.	.	.
10_1101-2021_01_05_425266	535	1	3	3	CD
10_1101-2021_01_05_425266	535	2	,	,	,
10_1101-2021_01_05_425266	535	3	pp	pp	NNP
10_1101-2021_01_05_425266	535	4	.	.	.
10_1101-2021_01_05_425266	536	1	606–617	606–617	CD
10_1101-2021_01_05_425266	536	2	,	,	,
10_1101-2021_01_05_425266	536	3	Jun.	June	NNP
10_1101-2021_01_05_425266	537	1	2019	2019	CD
10_1101-2021_01_05_425266	537	2	.	.	.
10_1101-2021_01_05_425266	538	1	[	[	-LRB-
10_1101-2021_01_05_425266	538	2	56	56	CD
10_1101-2021_01_05_425266	538	3	]	]	-RRB-
10_1101-2021_01_05_425266	538	4	Q.	Q.	NNP
10_1101-2021_01_05_425266	538	5	Zheng	Zheng	NNP
10_1101-2021_01_05_425266	538	6	,	,	,
10_1101-2021_01_05_425266	538	7	H.	H.	NNP
10_1101-2021_01_05_425266	538	8	Delingette	Delingette	NNP
10_1101-2021_01_05_425266	538	9	,	,	,
10_1101-2021_01_05_425266	538	10	and	and	CC
10_1101-2021_01_05_425266	538	11	N.	N.	NNP
10_1101-2021_01_05_425266	538	12	Ayache	Ayache	NNP
10_1101-2021_01_05_425266	538	13	,	,	,
10_1101-2021_01_05_425266	538	14	“	"	``
10_1101-2021_01_05_425266	538	15	Explainable	explainable	JJ
10_1101-2021_01_05_425266	538	16	cardiac	cardiac	JJ
10_1101-2021_01_05_425266	538	17	pathology	pathology	NN
10_1101-2021_01_05_425266	538	18	classification	classification	NN
10_1101-2021_01_05_425266	538	19	on	on	IN
10_1101-2021_01_05_425266	538	20	cine	cine	NN
10_1101-2021_01_05_425266	538	21	MRI	MRI	NNP
10_1101-2021_01_05_425266	538	22	with	with	IN
10_1101-2021_01_05_425266	538	23	motion	motion	NN
10_1101-2021_01_05_425266	538	24	characterization	characterization	NN
10_1101-2021_01_05_425266	538	25	by	by	IN
10_1101-2021_01_05_425266	538	26	semi	semi	JJ
10_1101-2021_01_05_425266	538	27	-	-	JJ
10_1101-2021_01_05_425266	538	28	supervised	supervised	JJ
10_1101-2021_01_05_425266	538	29	learning	learning	NN
10_1101-2021_01_05_425266	538	30	of	of	IN
10_1101-2021_01_05_425266	538	31	apparent	apparent	JJ
10_1101-2021_01_05_425266	538	32	flow	flow	NN
10_1101-2021_01_05_425266	538	33	,	,	,
10_1101-2021_01_05_425266	538	34	”	"	''
10_1101-2021_01_05_425266	538	35	arXiv:1811.03433	arXiv:1811.03433	NNP
10_1101-2021_01_05_425266	538	36	[	[	-LRB-
10_1101-2021_01_05_425266	538	37	cs	cs	NNP
10_1101-2021_01_05_425266	538	38	,	,	,
10_1101-2021_01_05_425266	538	39	stat	stat	NNP
10_1101-2021_01_05_425266	538	40	]	]	-RRB-
10_1101-2021_01_05_425266	538	41	,	,	,
10_1101-2021_01_05_425266	538	42	Mar.	March	NNP
10_1101-2021_01_05_425266	539	1	2019	2019	CD
10_1101-2021_01_05_425266	539	2	.	.	.
10_1101-2021_01_05_425266	540	1	[	[	-LRB-
10_1101-2021_01_05_425266	540	2	57	57	CD
10_1101-2021_01_05_425266	540	3	]	]	-RRB-
10_1101-2021_01_05_425266	540	4	P.	P.	NNP
10_1101-2021_01_05_425266	540	5	N.	N.	NNP
10_1101-2021_01_05_425266	540	6	Kampaktsis	Kampaktsis	NNP
10_1101-2021_01_05_425266	540	7	and	and	CC
10_1101-2021_01_05_425266	540	8	M.	M.	NNP
10_1101-2021_01_05_425266	540	9	Vavuranakis	Vavuranakis	NNP
10_1101-2021_01_05_425266	540	10	,	,	,
10_1101-2021_01_05_425266	540	11	“	"	``
10_1101-2021_01_05_425266	540	12	Diastolic	Diastolic	NNP
10_1101-2021_01_05_425266	540	13	Function	Function	NNP
10_1101-2021_01_05_425266	540	14	Evaluation	evaluation	NN
10_1101-2021_01_05_425266	540	15	,	,	,
10_1101-2021_01_05_425266	540	16	”	"	''
10_1101-2021_01_05_425266	540	17	JACC	JACC	NNP
10_1101-2021_01_05_425266	540	18	:	:	:
10_1101-2021_01_05_425266	540	19	Cardiovascular	Cardiovascular	NNP
10_1101-2021_01_05_425266	540	20	Imaging	Imaging	NNP
10_1101-2021_01_05_425266	540	21	,	,	,
10_1101-2021_01_05_425266	540	22	vol	vol	NNP
10_1101-2021_01_05_425266	540	23	.	.	.
10_1101-2021_01_05_425266	541	1	13	13	CD
10_1101-2021_01_05_425266	541	2	,	,	,
10_1101-2021_01_05_425266	541	3	no	no	UH
10_1101-2021_01_05_425266	541	4	.	.	.
10_1101-2021_01_05_425266	542	1	1	1	CD
10_1101-2021_01_05_425266	542	2	,	,	,
10_1101-2021_01_05_425266	542	3	pp	pp	NNP
10_1101-2021_01_05_425266	542	4	.	.	.
10_1101-2021_01_05_425266	543	1	336	336	CD
10_1101-2021_01_05_425266	543	2	–	–	:
10_1101-2021_01_05_425266	543	3	337	337	CD
10_1101-2021_01_05_425266	543	4	,	,	,
10_1101-2021_01_05_425266	543	5	Jan.	January	NNP
10_1101-2021_01_05_425266	543	6	2020	2020	CD
10_1101-2021_01_05_425266	543	7	.	.	.
10_1101-2021_01_05_425266	544	1	.CC	.CC	NFP
10_1101-2021_01_05_425266	544	2	-	-	:
10_1101-2021_01_05_425266	544	3	BY	by	IN
10_1101-2021_01_05_425266	544	4	-	-	HYPH
10_1101-2021_01_05_425266	544	5	NC	NC	NNP
10_1101-2021_01_05_425266	544	6	-	-	HYPH
10_1101-2021_01_05_425266	544	7	ND	ND	NNP
10_1101-2021_01_05_425266	544	8	4.0	4.0	CD
10_1101-2021_01_05_425266	544	9	International	International	NNP
10_1101-2021_01_05_425266	544	10	licenseavailable	licenseavailable	NN
10_1101-2021_01_05_425266	544	11	under	under	IN
10_1101-2021_01_05_425266	544	12	a	a	DT
10_1101-2021_01_05_425266	544	13	(	(	-LRB-
10_1101-2021_01_05_425266	544	14	which	which	WDT
10_1101-2021_01_05_425266	544	15	was	be	VBD
10_1101-2021_01_05_425266	544	16	not	not	RB
10_1101-2021_01_05_425266	544	17	certified	certify	VBN
10_1101-2021_01_05_425266	544	18	by	by	IN
10_1101-2021_01_05_425266	544	19	peer	peer	NN
10_1101-2021_01_05_425266	544	20	review	review	NN
10_1101-2021_01_05_425266	544	21	)	)	-RRB-
10_1101-2021_01_05_425266	544	22	is	be	VBZ
10_1101-2021_01_05_425266	544	23	the	the	DT
10_1101-2021_01_05_425266	544	24	author	author	NN
10_1101-2021_01_05_425266	544	25	/	/	SYM
10_1101-2021_01_05_425266	544	26	funder	funder	NN
10_1101-2021_01_05_425266	544	27	,	,	,
10_1101-2021_01_05_425266	544	28	who	who	WP
10_1101-2021_01_05_425266	544	29	has	have	VBZ
10_1101-2021_01_05_425266	544	30	granted	grant	VBN
10_1101-2021_01_05_425266	544	31	bioRxiv	biorxiv	IN
10_1101-2021_01_05_425266	544	32	a	a	DT
10_1101-2021_01_05_425266	544	33	license	license	NN
10_1101-2021_01_05_425266	544	34	to	to	TO
10_1101-2021_01_05_425266	544	35	display	display	VB
10_1101-2021_01_05_425266	544	36	the	the	DT
10_1101-2021_01_05_425266	544	37	preprint	preprint	NN
10_1101-2021_01_05_425266	544	38	in	in	IN
10_1101-2021_01_05_425266	544	39	perpetuity	perpetuity	NN
10_1101-2021_01_05_425266	544	40	.	.	.
10_1101-2021_01_05_425266	545	1	It	-PRON-	PRP
10_1101-2021_01_05_425266	545	2	is	be	VBZ
10_1101-2021_01_05_425266	545	3	made	make	VBN
10_1101-2021_01_05_425266	545	4	The	the	DT
10_1101-2021_01_05_425266	545	5	copyright	copyright	NN
10_1101-2021_01_05_425266	545	6	holder	holder	NN
10_1101-2021_01_05_425266	545	7	for	for	IN
10_1101-2021_01_05_425266	545	8	this	this	DT
10_1101-2021_01_05_425266	545	9	preprintthis	preprintthis	NN
10_1101-2021_01_05_425266	545	10	version	version	NN
10_1101-2021_01_05_425266	545	11	posted	post	VBD
10_1101-2021_01_05_425266	545	12	January	January	NNP
10_1101-2021_01_05_425266	545	13	7	7	CD
10_1101-2021_01_05_425266	545	14	,	,	,
10_1101-2021_01_05_425266	545	15	2021	2021	CD
10_1101-2021_01_05_425266	545	16	.	.	.
10_1101-2021_01_05_425266	545	17	;	;	:
10_1101-2021_01_05_425266	545	18	https://doi.org/10.1101/2021.01.05.425266doi	https://doi.org/10.1101/2021.01.05.425266doi	NNP
10_1101-2021_01_05_425266	545	19	:	:	:
10_1101-2021_01_05_425266	545	20	bioRxiv	biorxiv	IN
10_1101-2021_01_05_425266	545	21	preprint	preprint	NN
10_1101-2021_01_05_425266	545	22	https://doi.org/10.1101/2021.01.05.425266	https://doi.org/10.1101/2021.01.05.425266	NN
10_1101-2021_01_05_425266	545	23	http://creativecommons.org/licenses/by-nc-nd/4.0/	http://creativecommons.org/licenses/by-nc-nd/4.0/	NN