Author

Amr Darwish

Houston MethodistORCID 0000-0002-8540-1916Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:imaging· 2 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Organism:mouse· 1 Approach:statistical model· 1 Research Focus:synaptic & neural circuits· 1

Frequent Co-Authors

Dipan J. ShahiD· 2 shared Reza AvazmohammadiiD· 2 shared Roderic Ivan PettigrewiD· 2 shared Tanmay MukherjeeiD· 2 shared Diana M. LindquistiD· 1 shared Elizabeth M. FugateiD· 1 shared Emilio A. MendiolaiD· 1 shared Jacques Ohayon AiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioengineering

Dipan J. ShahORCID

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2 papers

Recent·Most cited

Computational modeling of left ventricular flow using PC-CMR-derived four-dimensional wall motion

Seyed Babak Peighambari, Tanmay Mukherjee, Emilio A. Mendiola, Amr Darwish, John C. Criscione, Lucas H. Timmins, Roderic Ivan Pettigrew, Dipan J. Shah, Reza Avazmohammadi

This study integrates MRI modalities with computational fluid dynamics to model left ventricular flow, improving clinical assessment of cardiac hemodynamics without complex myocardial modeling.

International Journal of Engineering Science · Mar 23, 2026Peer-reviewedBioengineering

Complete spatiotemporal quantification of cardiac motion in mice through enhanced acquisition and super-resolution reconstruction

Tanmay Mukherjee, Maziyar Keshavarzian, Elizabeth M. Fugate, Vahid Naeini, Amr Darwish, Jacques Ohayon A, Kyle J. Myers, Dipan J. Shah, Diana M. Lindquist, Sakthivel Sadayappan, Roderic Ivan Pettigrew, Reza Avazmohammadi

This paper develops a super-resolution reconstruction framework to improve the quantification of complete spatiotemporal myocardial strains in mice using cardiac MRI.

Scientific Reports · Aug 13, 2025Peer-reviewedBioengineering