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dc.contributor.authorYang, Gen_US
dc.contributor.authorZhuang, Xen_US
dc.contributor.authorKhan, Hen_US
dc.contributor.authorHaldar, Sen_US
dc.contributor.authorNyktari, Een_US
dc.contributor.authorYe, Xen_US
dc.contributor.authorSlabaugh, Gen_US
dc.contributor.authorWong, Ten_US
dc.contributor.authorMohiaddin, Ren_US
dc.contributor.authorKeegan, Jen_US
dc.contributor.authorFirmin, Den_US
dc.contributor.authorIEEEen_US
dc.date.accessioned2021-08-11T16:34:32Z
dc.date.available2017-03-01en_US
dc.date.issued2017en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/73563
dc.format.extent844 - 848en_US
dc.titleA Fully Automatic Deep Learning Method for Atrial Scarring Segmentation from Late Gadolinium-Enhanced MRI Imagesen_US
dc.typeConference Proceeding
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000414283200196&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US


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