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dc.contributor.authorZheng, Qen_US
dc.contributor.authorDelingette, Hen_US
dc.contributor.authorFung, Ken_US
dc.contributor.authorPetersen, Sen_US
dc.contributor.authorAyache, Nen_US
dc.date.accessioned2020-09-08T11:10:38Z
dc.date.available2020-08-12en_US
dc.identifier.citationZheng Q, Delingette H, Fung K, Petersen SE and Ayache N (2020) Pathological Cluster Identification by Unsupervised Analysis in 3,822 UK Biobank Cardiac MRIs. Front. Cardiovasc. Med. 7:539788. doi: 10.3389/fcvm.2020.539788
dc.identifier.issn2297-055Xen_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/66847
dc.publisherFrontiers Mediaen_US
dc.relation.ispartofFrontiers in Cardiovascular Medicineen_US
dc.rightsCreative Commons Attribution License (CC BY)
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titlePathological Cluster Identification by Unsupervised Analysis in 3,822 UK Biobank Cardiac MRIsen_US
dc.typeArticle
dc.rights.holder© 2020 Zheng, Delingette, Fung, Petersen and Ayache
dc.identifier.doihttps://doi.org/10.3389/fcvm.2020.539788
pubs.notesNot knownen_US
pubs.publication-statusAccepteden_US
dcterms.dateAccepted2020-08-12en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US
qmul.funder“Creation of cardiovascular magnetic resonance imaging reference standard for the UK Biobank imaging resource”::British Heart Foundationen_US


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