Education

• Postdoc – Dept. of Radiology, Harvard Medical School and Massachusetts General Hospital
• PhD – Biomedical Engineering, Technion – Israel Institute of Technology
• MSc (Cum Laude) – Biomedical Engineering, Ben Gurion University of the Negev, Israel
• BSc (Cum Laude) – Biomedical Engineering, Ben Gurion University of the Negev, Israel

Keywords
Medical Imaging, MRI, AI, Machine Learning, Deep Learning, Cancer, Neurological Disorders, Neuroscience, Molecular Imaging

Selected Publications

• N. Vladimirov, O. Cohen, H.Y. Heo, M. Zaiss, C.T. Farrar∗, O. Perlman∗, ”Quantitative Molecular Imaging using Deep Magnetic Resonance Fingerprinting,” Nature Protocols, 2025. https://doi.org/10.1038/s41596-025-01152-w. ∗Equal contribution.
• A. Finkelstein, N. Vladimirov, M. Zaiss, O. Perlman, ”Multi-Parameter Molecular MRI Quantification using Physics-Informed Self-Supervised Learning”, Communications Physics, Vol. 8, no. 164, pp. 1-11, 2025.
• Power, M. Rivlin, H. Shmuely, M. Zaiss, G. Navon, O. Perlman, ”In Vivo Mapping of the Chemical Exchange Relayed Nuclear Overhauser Effect using Deep Magnetic Resonance Fingerprinting,” iScience, Vol. 27, no. 111209, pp. 1-11, 2024.
• O. Perlman, H. Ito, K. Herz, N. Shono, H. Nakashima, M. Zaiss, E. A. Chiocca, O. Cohen, M. S. Rosen, C. T. Farrar, ”Quantitative imaging of apoptosis following oncolytic virotherapy by magnetic resonance fingerprinting aided by deep learning,” Nature Biomedical Engineering, Vol. 6, pp. 648-657, 2022.