Tehran University of Medical Sciences

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Faculty Members have conducted research related to the Machine Learning and Computational Fluid Dynamics Derived Ffrct Demonstrate Comparable Diagnostic Performance in Patients With Coronary Artery Disease; a Systematic Review and Meta-Analysis
Mohammad Sadeghian
Mohammad Sadeghian

Assistant Professor of Interventional Cardiology

Department Cardiology

School of Medicine

Tehran Heart Center

Tehran Heart Research Center

Tehran University of Medical Sciences

All Documents
10. Non-Invasive Flow Ratio (Nifr) Measurement Based on Angiography Images, Journal of Biomedical Physics and Engineering (2021)