Ashok Srinivasan, MD, FACR

Dr. Srinivasan is a Professor of Radiology, the Associate Chair for Operations, Quality & Safety, and has previously served as Director of the Neuroradiology division at the University of Michigan from 2012-2022. He received the RSNA research scholar award from 2008-2010 for his project titled ‘Creation of prediction model for response to chemoradiation in head and neck squamous cell carcinoma’. He is actively involved in many research projects involving advanced imaging technologies such as diffusion and perfusion imaging including artificial intelligence.

He has published over 170 papers, written 8 book chapters, and presented over 120 scientific or educational presentations at national and international conferences. He has served on the editorial board of the Head and neck section of two premier radiology journals, Radiology and European Radiology, is the Radiology editor for JAMA-Otolaryngology, Deputy Editor for Radiology: Imaging Cancer and Associate Editor for Brain in Neurographics.

He is a frequent speaker at national radiology and neuroradiology conferences in the US including the RSNA, ARRS, ASNR, ASSR, ASFNR, ASHNR, and WNRS. He was selected as the ASNR international outreach visiting Professor twice, once in 2017 (Thailand) and then in 2020 (Brazil). He is the immediate past President of the American Society of Head and Neck Radiology, 2nd Past President of the Western Neuroradiological Society and Chair of the ABR core exam committee for neuroradiology. He also served as Chair of RSNA scientific program committee for neuroradiology from 2015-2018. He received the RSNA Honored Educator award in 2023 and the Fellow of the American College of Radiology distinction in 2021.

1. Diffusion weighted imaging in the head and neck and its clinical applications
2. Diffusion tensor imaging of the sural nerve
3. Diffusion tensor imaging and Perfusion weighted imaging for characterization of lesions in patients with multiple sclerosis and brain
tumors
4. Clinical applications of Gemstone Spectral Imaging
5. Perfusion imaging of head and neck tumors
6. Integration of AI into neuroradiological applications