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Momin Muzaffar, MD, is an Assistant Professor in the Department of Radiology at the University of Chicago. His research focuses on the application of advanced imaging techniques in the assessment and treatment of intracranial pathology. Dr. Muzaffar has contributed significantly to the field with publications examining the utility of MR spectroscopy and perfusion for characterizing conditions such as Erdheim-Chester disease. His work has also highlighted the use of deep learning technologies in predicting patient outcomes in radiological assessments, particularly for patients with COVID-19. He has actively participated in collaborative efforts to construct machine learning datasets, notably for the RSNA 2019 Brain CT Hemorrhage Challenge, and has researched the prevalence of specific signs in medical imaging related to parathyroid adenomas. Dr. Muzaffar's clinical experiences also include evaluating spinal arteriovenous shunts through time-resolved spinal MR angiography. His commitment to advancing the field of radiology through research and education positions him as a vital contributor to the academic community.
University of Chicago • Chicago, IL
Teaching and researching advanced imaging techniques in Radiology.
Department of Philosophy