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Ventricular fibrillation mechanism and global fibrillatory organization are determined by gap junction coupling and fibrosis pattern

dc.contributor.authorHanda, BSen_US
dc.contributor.authorLi, Xen_US
dc.contributor.authorBaxan, Nen_US
dc.contributor.authorRoney, CHen_US
dc.contributor.authorShchendrygina, Aen_US
dc.contributor.authorMansfield, CAen_US
dc.contributor.authorJabbour, RJen_US
dc.contributor.authorPitcher, DSen_US
dc.contributor.authorChowdhury, RAen_US
dc.contributor.authorPeters, NSen_US
dc.contributor.authorNg, FSen_US
dc.date.accessioned2022-04-07T15:52:10Z
dc.date.available2020-05-21en_US
dc.date.issued2021en_US
dc.identifier.issn0008-6363en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/77811
dc.format.extent1078 - 1090en_US
dc.relation.ispartofCARDIOVASCULAR RESEARCHen_US
dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.subjectVentricular fibrillationen_US
dc.subjectFibrosisen_US
dc.subjectGap junctionsen_US
dc.subjectRotational activityen_US
dc.subjectFibrillationen_US
dc.subjectMechanismsen_US
dc.titleVentricular fibrillation mechanism and global fibrillatory organization are determined by gap junction coupling and fibrosis patternen_US
dc.typeArticle
dc.rights.holder© The Author(s) 2020. Published by Oxford University Press on behalf of the European Society of Cardiology.
dc.identifier.doi10.1093/cvr/cvaa141en_US
pubs.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000637026600019&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue4en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume117en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US
qmul.funderPredicting Atrial Fibrillation Mechanisms Through Deep Learning::Medical Research Councilen_US


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