Tehran University of Medical Sciences

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Faculty Members have conducted research related to the Comparison of Machine-Learning Models for the Prediction of 1-Year Adverse Outcomes of Patients Undergoing Primary Percutaneous Coronary Intervention for Acute St-Elevation Myocardial Infarction
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)