Prediction of time averaged wall shear stress distribution in coronary arteries’ bifurcation varying in morphological features via deep learning
Furthermore, the DL-based predictions demonstrate strong agreement with results from CFD simulations, with a normalized mean absolute error of only 2.53% across various cases.
Authors
- Mahkame Sharbatdar (ORCID: https://orcid.org/0000-0002-0881-6122)
- Hadis Edrisnia
- Mohammad Hossein Sarkhosh
- Mohammad Reza Raveshi
Institutions
- Sharif University of Technology (IR)
- Monash University (AU)
- K. N. Toosi University of Technology (IR)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2025-03-04
- DOI
- https://doi.org/10.3389/fphys.2025.1518732
- Citations
- 4
- Primary Topic
- Coronary Interventions and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 8.03