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Deep learning-based prediction of future myocardial infarct..:

Mahendiran, T ; Thanou, D ; Senouf, O...
info:eu-repo/semantics/altIdentifier/doi/10.1136/openhrt-2022-002237. , 2023

Link: https://serval.unil.ch/notice/serval:BIB_7D52661F8D04

RT Journal
T1 <Title>Deep learning-based prediction of future myocardial infarction using invasive coronary angiography: a feasibility study</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftunivlausanne:oai:serval.unil.ch:BIB_7D52661F8D04&Exemplar=1&LAN=DE
				
A1 Mahendiran, T
A1 Thanou, D
A1 Senouf, O
A1 Meier, D
A1 Dayer, N
A1 Aminfar, F
A1 Auberson, D
A1 Raita, O
A1 Frossard, P
A1 Pagnoni, M
A1 Cook, S
A1 De Bruyne, B
A1 Muller, O
A1 Abbé, E
A1 Fournier, S
YR 2023
K1 Humans
K1 Coronary Stenosis/diagnostic imaging
K1 Coronary Angiography/methods
K1 Constriction
K1 Pathologic
K1 Feasibility Studies
K1 Retrospective Studies
K1 Deep Learning
K1 Coronary Vessels
K1 Fractional Flow Reserve
K1 Myocardial
K1 Myocardial Infarction/diagnostic imaging
K1 Coronary Angiography
K1 Coronary Artery Disease
K1 Myocardial Infarction
JF info:eu-repo/semantics/altIdentifier/doi/10.1136/openhrt-2022-002237
LK http://dx.doi.org/https://serval.unil.ch/notice/serval:BIB_7D52661F8D04
DO https://serval.unil.ch/notice/serval:BIB_7D52661F8D04
SF ELIB - SuUB Bremen

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