Tehran University of Medical Sciences

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Faculty Members have conducted research related to the Deep Transferable Compound Representation Across Domains and Tasks for Low Data Drug Discovery
Kolahi Shahriar
Kolahi Shahriar

Assistant Professor of Radiology

Department Radiology

School of Medicine

Imam Khomeini Hospital Complex

Advanced Diagnostic and Interventional Radiology Research Cente

Tehran University of Medical Sciences

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All Documents
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2. Diagnostic Performance of Tof, 4D Mra, Arterial Spin-Labeling, and Susceptibility-Weighted Angiography Sequences in the Post-Radiosurgery Monitoring of Brain Avms, American Journal of Neuroradiology (2025)
3. Investigating Injuries to the Anterolateral Corner of the Knee: Imaging Insights Into Kaplan Fibers and the Anterolateral Ligament in Anterior Cruciate Ligament Tears, Orthopaedic Journal of Sports Medicine (2025)
4. Machine Learning and Deep Learning Algorithms in Stroke Medicine: A Systematic Review of Hemorrhagic Transformation Prediction Models, Journal of Neurology (2025)
5. Perfusion-Weighted Mri Patterns in Neuropsychiatric Systemic Lupus Erythematosus: A Systematic Review and Meta-Analysis, Neuroradiology (2025)
6. Choroid Plexus Volume Changes in Multiple Sclerosis: Insights From a Systematic Review and Meta-Analysis of Magnetic Resonance Imaging Studies, Neuroradiology (2024)
7. Differential Privacy Preserved Federated Learning for Prognostic Modeling in Covid-19 Patients Using Large Multi-Institutional Chest Ct Dataset, Medical Physics (2024)
8. Differential Privacy Preserved Federated Learning for Prognostic Modeling in Covid-19 Patients Using Large Multi-Institutional Chest Ct Dataset, Medical Physics (2024)
9. Differentiation of Covid-19 Pneumonia From Other Lung Diseases Using Ct Radiomic Features and Machine Learning: A Large Multicentric Cohort Study, International Journal of Imaging Systems and Technology (2024)
10. Methodological Insights Into Chatgpt’S Screening Performance in Systematic Reviews, BMC Medical Research Methodology (2024)
11. Accuracy of Artificial Intelligence Ct Quantification in Predicting Covid-19 Subjects’ Prognosis, PLoS ONE (2023)
12. Covid-19 Prognostic Modeling Using Ct Radiomic Features and Machine Learning Algorithms: Analysis of a Multi-Institutional Dataset of 14,339 Patients: Covid-19 Prognostic Modeling Using Ct Radiomics and Machine Learning, Computers in Biology and Medicine (2022)
13. Does Gadolinium Deposition Lead to Metabolite Alteration in the Dentate Nucleus? an Mrs Study in Patients With Ms, American Journal of Neuroradiology (2022)
14. Clinical and Chest Ct Features As a Predictive Tool for Covid-19 Clinical Progress: Introducing a Novel Semi-Quantitative Scoring System, European Radiology (2021)