Machine learning can accurately detect abnormal aortic valves in CMR

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dc.contributor.authorVimalesvaran, K.
dc.contributor.authorUslu, F.
dc.contributor.authorZaman, S.
dc.contributor.authorHoward, J.
dc.contributor.authorBharath, A.
dc.contributor.authorCole, G.
dc.date.accessioned2026-02-12T21:05:13Z
dc.date.available2026-02-12T21:05:13Z
dc.date.issued2022
dc.departmentBursa Teknik Üniversitesi
dc.description.abstract[Abstract Not Available]
dc.description.sponsorshipUKRI CDT in AI for Healthcare
dc.description.sponsorshipType of funding sources: Other. Main funding source(s): This work was supported by the UKRI CDT in AI for Healthcare http://ai4health.io
dc.identifier.endpage236
dc.identifier.issn0195-668X
dc.identifier.issn1522-9645
dc.identifier.scopusqualityQ1
dc.identifier.startpage236
dc.identifier.urihttps://hdl.handle.net/20.500.12885/6854
dc.identifier.volume43
dc.identifier.wosWOS:000894947901600
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherOxford Univ Press
dc.relation.ispartofEuropean Heart Journal
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260212
dc.titleMachine learning can accurately detect abnormal aortic valves in CMR
dc.typeConference Object

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