A comprehensive 3-D framework for automatic quantification of late gadolinium enhanced cardiac magnetic resonance images

10.1109/TBME.2013.2237907

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Bibliographic Details
Main Authors:	Wei, D., Sun, Y., Ong, S.-H., Chai, P., Teo, L.L., Low, A.F.
Other Authors:	ELECTRICAL & COMPUTER ENGINEERING
Format:	Article
Published:	2014
Subjects:	Cardiac MRI classification infarction quantification late gadolinium enhanced (LGE) segmentation
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/81853
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-81853
record_format	dspace
spelling	sg-nus-scholar.10635-818532023-10-30T08:01:44Z A comprehensive 3-D framework for automatic quantification of late gadolinium enhanced cardiac magnetic resonance images Wei, D. Sun, Y. Ong, S.-H. Chai, P. Teo, L.L. Low, A.F. ELECTRICAL & COMPUTER ENGINEERING Cardiac MRI classification infarction quantification late gadolinium enhanced (LGE) segmentation 10.1109/TBME.2013.2237907 IEEE Transactions on Biomedical Engineering 60 6 1499-1508 IEBEA 2014-10-07T04:22:28Z 2014-10-07T04:22:28Z 2013 Article Wei, D., Sun, Y., Ong, S.-H., Chai, P., Teo, L.L., Low, A.F. (2013). A comprehensive 3-D framework for automatic quantification of late gadolinium enhanced cardiac magnetic resonance images. IEEE Transactions on Biomedical Engineering 60 (6) : 1499-1508. ScholarBank@NUS Repository. https://doi.org/10.1109/TBME.2013.2237907 00189294 http://scholarbank.nus.edu.sg/handle/10635/81853 000319142000004 Scopus
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Cardiac MRI classification infarction quantification late gadolinium enhanced (LGE) segmentation
spellingShingle	Cardiac MRI classification infarction quantification late gadolinium enhanced (LGE) segmentation Wei, D. Sun, Y. Ong, S.-H. Chai, P. Teo, L.L. Low, A.F. A comprehensive 3-D framework for automatic quantification of late gadolinium enhanced cardiac magnetic resonance images
description	10.1109/TBME.2013.2237907
author2	ELECTRICAL & COMPUTER ENGINEERING
author_facet	ELECTRICAL & COMPUTER ENGINEERING Wei, D. Sun, Y. Ong, S.-H. Chai, P. Teo, L.L. Low, A.F.
format	Article
author	Wei, D. Sun, Y. Ong, S.-H. Chai, P. Teo, L.L. Low, A.F.
author_sort	Wei, D.
title	A comprehensive 3-D framework for automatic quantification of late gadolinium enhanced cardiac magnetic resonance images
title_short	A comprehensive 3-D framework for automatic quantification of late gadolinium enhanced cardiac magnetic resonance images
title_full	A comprehensive 3-D framework for automatic quantification of late gadolinium enhanced cardiac magnetic resonance images
title_fullStr	A comprehensive 3-D framework for automatic quantification of late gadolinium enhanced cardiac magnetic resonance images
title_full_unstemmed	A comprehensive 3-D framework for automatic quantification of late gadolinium enhanced cardiac magnetic resonance images
title_sort	comprehensive 3-d framework for automatic quantification of late gadolinium enhanced cardiac magnetic resonance images
publishDate	2014
url	http://scholarbank.nus.edu.sg/handle/10635/81853
_version_	1781783999427903488

A comprehensive 3-D framework for automatic quantification of late gadolinium enhanced cardiac magnetic resonance images

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