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Article: Predicting CT-Based Coronary Artery Disease Using Vascular Biomarkers Derived from Fundus Photographs with a Graph Convolutional Neural Network

TitlePredicting CT-Based Coronary Artery Disease Using Vascular Biomarkers Derived from Fundus Photographs with a Graph Convolutional Neural Network
Authors
Issue Date2022
Citation
Diagnostics, 2022, v. 12, p. 1390 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/313487
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHuang, F-
dc.contributor.authorLian, J-
dc.contributor.authorNg, KS-
dc.contributor.authorShih, KC-
dc.contributor.authorVardhanabhuti, V-
dc.date.accessioned2022-06-17T06:47:08Z-
dc.date.available2022-06-17T06:47:08Z-
dc.date.issued2022-
dc.identifier.citationDiagnostics, 2022, v. 12, p. 1390-
dc.identifier.urihttp://hdl.handle.net/10722/313487-
dc.languageeng-
dc.relation.ispartofDiagnostics-
dc.titlePredicting CT-Based Coronary Artery Disease Using Vascular Biomarkers Derived from Fundus Photographs with a Graph Convolutional Neural Network-
dc.typeArticle-
dc.identifier.emailHuang, F: fhuang@hku.hk-
dc.identifier.emailNg, KS: dougng@hku.hk-
dc.identifier.emailShih, KC: kcshih@hku.hk-
dc.identifier.emailVardhanabhuti, V: varv@hku.hk-
dc.identifier.authorityShih, KC=rp01374-
dc.identifier.authorityVardhanabhuti, V=rp01900-
dc.identifier.doi10.3390/diagnostics12061390-
dc.identifier.hkuros333390-
dc.identifier.volume12-
dc.identifier.spage1390-
dc.identifier.epage1390-
dc.identifier.isiWOS:000816599900001-

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