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A. Rahman D. M. H. Alnabti

Hamad Medical Corporation

Hamad Medical Corporation

Rumailah Hospital

Doha, 03050

Qatar

  • Hamad Medical Corporation

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Scholarly Papers (1)

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Multiviewunet: A Deep Learning Surrogate for Wall Shear Stress Prediction in Aortic Aneurysmal Diseases

Number of pages: 23 Posted: 26 Oct 2023
Md. Ahasan Atick Faisal, Onur Mutlu, Sakib Mahmud, Anas Tahir, Muhammad Enamul Hoque Chowdhury, Faycal Bensaali, A. Rahman D. M. H. Alnabti, Mehmet Metin Yavuz, Ayman El-Menyar, Hassan Al-Thani and Huseyin Cagatay Yalcin
Qatar University, Qatar University, Qatar University, University of British Columbia (UBC), University of Nottingham - Sir Peter Mansfield Imaging Centre, Qatar University, Hamad Medical Corporation, Middle East Technical University, Hamad Medical Corporation, Hamad Medical Corporation and Qatar University
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abdominal aortic aneurysm, Deep Learning, neural network, Artificial Intelligence, hemodynamics, computational fluid dynamics