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Local late gadolinium enhancement features to identify the electrophysiological substrate of post-infarction ventricular tachycardia: a machine learning approach

Crossref DOI link: https://doi.org/10.1186/1532-429X-17-S1-P234

Published Print: 2015-02

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Lozoya, Rocio Cabrera

Margeta, Jan

Folgoc, Loic Le

Komatsu, Yuki

Berte, Benjamin

Relan, Jatin S

Cochet, Hubert

Haïssaguerre, Michel

Jaïs, Pierre

Ayache, Nicholas

Sermesant, Maxime
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Text and Data Mining valid from 2015-02-01

Text and Data Mining valid from 2015-02-01

Version of Record valid from 2015-02-03
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This article is maintained by: Elsevier

Article Title: Local late gadolinium enhancement features to identify the electrophysiological substrate of post-infarction ventricular tachycardia: a machine learning approach

Journal Title: Journal of Cardiovascular Magnetic Resonance

CrossRef DOI link to publisher maintained version: https://doi.org/10.1186/1532-429X-17-S1-P234

Content Type: simple-article

Copyright: Copyright © 2015 THE AUTHORS. Published by Elsevier Inc on behalf of the Society for Cardiovascular Magnetic Resonance

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