Vikas Gulani, MD, PhD
Radiology
1500 East Medical Center Drive
Ann Arbor, Michigan 48109-5030
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About
Dr. Vikas Gulani is the Fred J. Hodges Professor, Chair of the Department of Radiology at the University of Michigan, and co-Director of the Michigan Institute of Imaging Technology and Translation (MIITT). He is committed to a collaborative, diverse, and friendly work environment where people are valued above all else, and yet clinical, research, and teaching excellence is expected. He trained in Chemical Engineering at the University of California, Los Angeles (UCLA), and then did his MD and PhD at the University of Illinois, Urbana-Champaign. After Internship in Internal Medicine at the University of Illinois, he completed his residency in Diagnostic Radiology and fellowship training in Body MRI from the University of Michigan, and also a postdoctoral year in Physics at the University of Würzburg in Germany. His clinical interests are abdominal and pelvic MRI, and MRI guided intervention. Research interests are diverse and include the same, plus MRI technology development and translation, quantitative MRI, fast MRI, amongst other areas.
Qualifications
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MDUniversity of Illinois, College of Medicine at Urbana-Champaign, College of Medicine at Urbana-Champaign 801 South Wright Stret, Champaign, Illinois, 61820, United States
1994 - 2000
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PhD, Physiology (Biophysics)University of Illinois, 801 South Wright Street, Champaign, Illinois, 61820, United States
1994 - 1998
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MSUniversity of Illinois, Urbana-Champaign 801 South Wright Street, Champaign, Illinois, 61820, United States
1991 - 1994
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BS, Chemical EngineeringUniversity of California Los Angeles, Los Angeles, California, United States
1987 - 1991
Center Memberships
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Center MemberCenter for Global Health Equity
Research Overview
MRI technology development and translation
Quantitative MRI
Accessible MRI
Fast MRI
MRI guided intervention
Relaxometry
MRI acquisitions and reconstruction techniques
Abdominal and Pelvic MRI
Prostate MRI
Liver MRI
Machine Learning and Artificial Intelligence for imaging data analysis
Value of imaging
Workplace resilience
Workplace culture
Recent Publications
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Ippolito GM, Ozkan M, Gulani V, Sarma A, Cameron AP, Wells S, Hamilton J. Journal of Urology, 2026 Apr 30; 215 (5S): e186Proceeding / Abstract / PosterIP08-17 CHARACTERIZATION OF NORMAL BLADDER PARAMETERS USING 3D MAGNETIC RESONANCE FINGERPRINTING
DOI:10.1097/01.ju.0001191312.43845.bb.17 -
Day R, Hadjiiski L, Sun D, Chan H-P, Caoili E, Cohan RH, Alva A, Bruno G, Zhou C, Gulani V. 2026 Apr 30; 14 - 14.Journal ArticleLoRA fine‑tuning of a small 3B LLM for clinical information extraction and five‑year survival prediction in bladder cancer
DOI:10.1117/12.3087747 -
Margolis DJA, Gulani V. Radiology, 2026 Apr 1; 319 (1): e260545Journal ArticleA Step Closer to the Promise of Quantitative MRI for Prostate Cancer
DOI:10.1148/radiol.260545 PMID: 41944720 -
Shih S, Maturen K, Skeith A, Wells S, Chenevert T, Gulani V, Morgan DM. O G Open, 2026 Apr; 3 (2): e163Journal ArticleRemoval of Mini-Sling Anchor With Magnetic Resonance Imaging-Guided Site Marking With Methylene Blue.
DOI:10.1097/og9.0000000000000163 PMID: PMC12999148 -
Lyu Y, Harake S, Chowdury A, Banerjee S, Gologorsky R, Liu S, Meissner AK, Rao A, Zhao C, Kondepudi A, Jiang C, Hou X, Joshi RS, Neuschmelting V, Srinivasan A, Kleindorfer D, Athey B, Gulani V, Pandey A, Lee H, Hollon T. Nature Biomedical Engineering, 2026 Jan 1;Journal ArticleLearning neuroimaging models from health system-scale data
DOI:10.1038/s41551-025-01608-0 PMID: 41652068 -
Hussain HK, Rajeev R, DeStigter KK, Gulani V. Radiol Imaging Cancer, 2025 Nov; 7 (6): e250019Journal ArticleGlobal Cancer Imaging Access: Addressing Barriers and Harnessing Innovations.
DOI:10.1148/rycan.250019 PMID: 41134140 -
Lyu Y, Harake S, Chowdury A, Banerjee S, Gologorsky R, Liu S, Meissner A-K, Rao A, Zhao C, Kondepudi A, Jiang C, Hou X, Joshi RS, Neuschmelting V, Srinivasan A, Kleindorfer D, Athey B, Gulani V, Pandey A, Lee H, Hollon T. 2025 Sep 25; arXiv,PreprintLearning neuroimaging models from health system-scale data
DOI:10.48550/arxiv.2509.18638 -
Lyu Y, Harake S, Banerjee S, Gologorsky R, Liu S, Meissner A-K, Akshay R, Zhao C, Kondepudi A, JIang C, Hou X, Joshi R, Neuschmelting V, Srinivasan A, Kleindorfer D, Athey B, Gulani V, Pandey, M.D. A, Hollon T. Nature Biomedical Engineering, 2025 Oct 9;Journal ArticleLearning neuroimaging models from health system–scale data
DOI:10.1038/s41551-025-XXXX-X
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