Ann Arbor
Michigan, 48109-5030
Available to mentor
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.
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Center MemberSamuel and Jean Frankel Cardiovascular Center
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Center MemberCenter for Integrative Research in Critical Care
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
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Forghani R, Srinivasan A. Magn Reson Imaging Clin N Am, 2024 May; 32 (2): xv - xvi.Journal ArticleDemyelinating and Neuroinflammatory Diseases of the Brain and the Spine.
DOI:10.1016/j.mric.2024.01.005 PMID: 38555149 -
Mishra S, Bapuraj J, Srinivasan A. Magn Reson Imaging Clin N Am, 2024 May; 32 (2): 221 - 231.Journal ArticleMultiple Sclerosis Part 2: Advanced Imaging and Emerging Techniques.
DOI:10.1016/j.mric.2024.01.002 PMID: 38555138 -
Lee JS, Kim J, Bapuraj JR, Srinivasan A. AJNR Am J Neuroradiol, 2024 Apr 8;Journal ArticleComparison of Image Quality and Radiation Dose in Pediatric Temporal Bone CT using Photon Counting Detectors CT and Energy Integrating Detectors CT.
DOI:10.3174/ajnr.A8276 PMID: 38589057 -
Ota Y, Srinivasan A, Capizzano AA, Bapuraj JR, Kim J, Kurokawa R, Baba A, Moritani T. Neuroradiologie Scan, 2024 Apr; 14 (02): 141 - 163.Journal ArticleSystemischer Lupus erythematodes des zentralen Nervensystems
DOI:10.1055/a-2165-1856 -
Baba A, Kurokawa R, Kurokawa M, Rivera-de Choudens R, Srinivasan A. Acta Radiol, 2024 Feb 20; 2841851241228487Journal ArticleApparent diffusion coefficient for differentiation between extra-nodal lymphoma and squamous cell carcinoma in the head and neck: a systematic review and meta-analysis.
DOI:10.1177/02841851241228487 PMID: 38377681 -
Bapuraj JR, Chaudhary N, Masood K, Srinivasan A. Seminars in Roentgenology, 2024 Jan 1;Journal ArticleThe Current Role of SWI in Imaging Cerebrovascular Disorders: Susceptible to Further Advances?
DOI:10.1053/j.ro.2024.01.004 -
Pati S, Baid U, Edwards B, Sheller M, Wang S-H, Reina GA, Foley P, Gruzdev A, Karkada D, Davatzikos C, Sako C, Ghodasara S, Bilello M, Mohan S, Vollmuth P, Brugnara G, Preetha CJ, Sahm F, Maier-Hein K, Zenk M, Bendszus M, Wick W, Calabrese E, Rudie J, Villanueva-Meyer J, Cha S, Ingalhalikar M, Jadhav M, Pandey U, Saini J, Garrett J, Larson M, Jeraj R, Currie S, Frood R, Fatania K, Huang RY, Chang K, Balaña C, Capellades J, Puig J, Trenkler J, Pichler J, Necker G, Haunschmidt A, Meckel S, Shukla G, Liem S, Alexander GS, Lombardo J, Palmer JD, Flanders AE, Dicker AP, Sair HI, Jones CK, Venkataraman A, Jiang M, So TY, Chen C, Heng PA, Dou Q, Kozubek M, Lux F, Michálek J, Matula P, Keřkovský M, Kopřivová T, Dostál M, Vybíhal V, Vogelbaum MA, Mitchell JR, Farinhas J, Maldjian JA, Yogananda CGB, Pinho MC, Reddy D, Holcomb J, Wagner BC, Ellingson BM, Cloughesy TF, Raymond C, Oughourlian T, Hagiwara A, Wang C, To M-S, Bhardwaj S, Chong C, Agzarian M, Falcão AX, Martins SB, Teixeira BCA, Sprenger F, Menotti D, Lucio DR, LaMontagne P, Marcus D, Wiestler B, Kofler F, Ezhov I, Metz M, Jain R, Lee M, Lui YW, McKinley R, Slotboom J, Radojewski P, Meier R, Wiest R, Murcia D, Fu E, Haas R, Thompson J, Ormond DR, Badve C, Sloan AE, Vadmal V, Waite K, Colen RR, Pei L, Ak M, Srinivasan A, Bapuraj JR, Rao A, Wang N, Yoshiaki O, Moritani T, Turk S, Lee J, Prabhudesai S, Morón F, Mandel J, Kamnitsas K, Glocker B, Dixon LVM, Williams M, Zampakis P, Panagiotopoulos V, Tsiganos P, Alexiou S, Haliassos I, Zacharaki EI, Moustakas K, Kalogeropoulou C, Kardamakis DM, Choi YS, Lee S-K, Chang JH, Ahn SS, Luo B, Poisson L, Wen N, Tiwari P, Verma R, Bareja R, Yadav I, Chen J, Kumar N, Smits M, van der Voort SR, Alafandi A, Incekara F, Wijnenga MMJ, Kapsas G, Gahrmann R, Schouten JW, Dubbink HJ, Vincent AJPE, van den Bent MJ, French PJ, Klein S, Yuan Y, Sharma S, Tseng T-C, Adabi S, Niclou SP, Keunen O, Hau A-C, Vallières M, Fortin D, Lepage M, Landman B, Ramadass K, Xu K, Chotai S, Chambless LB, Mistry A, Thompson RC, Gusev Y, Bhuvaneshwar K, Sayah A, Bencheqroun C, Belouali A, Madhavan S, Booth TC, Chelliah A, Modat M, Shuaib H, Dragos C, Abayazeed A, Kolodziej K, Hill M, Abbassy A, Gamal S, Mekhaimar M, Qayati M, Reyes M, Park JE, Yun J, Kim HS, Mahajan A, Muzi M, Benson S, Beets-Tan RGH, Teuwen J, Herrera-Trujillo A, Trujillo M, Escobar W, Abello A, Bernal J, Gómez J, Choi J, Baek S, Kim Y, Ismael H, Allen B, Buatti JM, Kotrotsou A, Li H, Weiss T, Weller M, Bink A, Pouymayou B, Shaykh HF, Saltz J, Prasanna P, Shrestha S, Mani KM, Payne D, Kurc T, Pelaez E, Franco-Maldonado H, Loayza F, Quevedo S, Guevara P, Torche E, Mendoza C, Vera F, Ríos E, López E, Velastin SA, Ogbole G, Soneye M, Oyekunle D, Odafe-Oyibotha O, Osobu B, Shu'aibu M, Dorcas A, Dako F, Simpson AL, Hamghalam M, Peoples JJ, Hu R, Tran A, Cutler D, Moraes FY, Boss MA, Gimpel J, Veettil DK, Schmidt K, Bialecki B, Marella S, Price C, Cimino L, Apgar C, Shah P, Menze B, Barnholtz-Sloan JS, Martin J, Bakas S. Nat Commun, 2023 Jan 26; 14 (1): 436Journal ArticleAuthor Correction: Federated learning enables big data for rare cancer boundary detection.
DOI:10.1038/s41467-023-36188-7 PMID: 36702828 -
Baba A, Kurokawa R, Kurokawa M, Rivera-de Choudens R, Srinivasan A. Jpn J Radiol, 2023 Dec; 41 (12): 1351 - 1358.Journal ArticleDual-energy computed tomography for improved visualization of internal jugular chain neck lymph node metastasis and nodal necrosis in head and neck squamous cell carcinoma.
DOI:10.1007/s11604-023-01460-9 PMID: 37347457