Latest Developments in Adapting Deep Learning for Assessing TAVR Procedures and Outcomes.

Autor: Tahir, Anas M.1,2 (AUTHOR) anas5@student.ubc.ca, Mutlu, Onur2 (AUTHOR), Bensaali, Faycal3 (AUTHOR) f.bensaali@qu.edu.qa, Ward, Rabab1 (AUTHOR) rababw@ece.ubc.ca, Ghareeb, Abdel Naser4,5 (AUTHOR) aallam4@hamad.qa, Helmy, Sherif M. H. A.6 (AUTHOR) shelmy@hamad.qa, Othman, Khaled T.4 (AUTHOR) kothman2@hamad.qa, Al-Hashemi, Mohammed A.6 (AUTHOR) malhashemi@hamad.qa, Abujalala, Salem4 (AUTHOR) sma1200@gmail.com, Chowdhury, Muhammad E. H.3 (AUTHOR) mchowdhury@qu.edu.qa, Alnabti, A.Rahman D. M. H.4 (AUTHOR) aalnabti@hamad.qa, Yalcin, Huseyin C.2,7 (AUTHOR) aalnabti@hamad.qa
Zdroj: Journal of Clinical Medicine. Jul2023, Vol. 12 Issue 14, p4774. 25p.
Databáze: Academic Search Ultimate
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