Research Summary

Sharmila Majumdar, PhD, is a UCSF Professor and the Vice Chair of Research in the Department of Radiology and Biomedical Imaging and Professor in the Departments of Bioengineering and Therapeutic Sciences, Orthopedic Surgery at UCSF and Bioengineering at UC Berkeley. She is Director of the Musculoskeletal Research Interest Group at UCSF, an interdisciplinary group consisting of faculty, post-doctoral scholars and students. She obtained her PhD degree in Engineering and Applied Science from Yale University in 1987, where she stayed as a post-doctoral researcher and Assistant Professor until 1989, when she joined UCSF.

Her research work on imaging, particularly magnetic resonance and micro computed tomography, and development of image processing and analysis tools, has been focused in the areas of osteoporosis, osteo-arthritis and lower back pain. Her research, which is supported by grants from the NIH and corporate entities, and is diverse ranging from technical development to clinical trials. She currently heads an NIH Center of Research Translation focused on Osteoarthritis and Imaging, a joint effort between UCSF and UC Davis.

Dr. Majumdar was selected as a fellow of the American Institute of Medical and Biological Engineers in 2004 and a fellow of the International Society of Magnetic Resonance in Medicine in 2008. In 2007 she was awarded the “Excellence in Direct Teaching and/or Excellence in Mentoring and Advising Award” by the UCSF Haile T. Debas Academy of Medical Educators.

She has published extensively in the Journal of Bone Mineral Research, Magnetic Resonance in Medicine, and other highly regarded journals. She also serves as a reviewer and is on the editorial board of scientific journals, and is a recognized expert in the area of imaging.

Research Funding

  • July 14, 2016 - June 30, 2026 - Evaluating Disease Progression in Hip Osteoarthritis , Principal Investigator . Sponsor: NIH, Sponsor Award ID: R01AR069006
  • September 26, 2019 - July 31, 2024 - Technology Research Site for Advanced, Faster Quantitative Imaging for BACPAC , Principal Investigator . Sponsor: NIH, Sponsor Award ID: UH3AR076724
  • April 1, 2018 - July 31, 2021 - Deep Learning for Characterizing Knee Joint Degeneration Predicting Progression of Osteoarthritis and Total Knee Replacement , Principal Investigator . Sponsor: NIH, Sponsor Award ID: R33AR073552
  • September 26, 2019 - August 31, 2020 - Technology Research Site for Advanced, Faster Quantitative Imaging for BACPAC , Principal Investigator . Sponsor: NIH, Sponsor Award ID: UH2AR076724


St. Stephens College, University of Delhi, India, B.S., 1983, Physics
Yale University, Connecticut, USA, M.S., 1984, Eng. & Applied Physics
Yale University, Connecticut, USA, Ph.D., 1987, Eng. & Applied Physics
Yale University, Connecticut, USA, Postdoctoral, 1988, Radiology

Honors & Awards

  • 2002
    Celebrating Woman Faculty, Award and Recognition, Chancellor and Deans of UCSF
  • 2004
    Fellow of the American Institute of Medical and Biological Engineers (AIMBE)
  • 2008
    Fellow of the International Society of Magnetic Resonance in Medicine (ISMRM)
  • 2016
    Gold Medal of International Society of Magnetic Resonance in Medicine (ISMRM)

Selected Publications

  1. Neumann J, Zhang AL, Bucknor M, Majumdar S, Souza R, Joseph GB, Link TM. Acetabular cartilage delamination: performance of MRI using arthroscopy as the standard of reference. Acta Radiol. 2022 Jul 28; 2841851221113966.  View on PubMed
  2. Roach KE, Souza RB, Majumdar S, Pedoia V. Local Patterns in 2-Year T1ρ and T2 Changes of Hip Cartilage Are Related to Sex and Functional Data: A Prospective Evaluation on Hip Osteoarthritis Participants. J Magn Reson Imaging. 2022 Jul 19.  View on PubMed
  3. Kim JS, Borges S, Clauw DJ, Conaghan PG, Felson DT, Fleming TR, Glaser R, Hart E, Hochberg M, Kim Y, Kraus VB, Lapteva L, Li X, Majumdar S, McAlindon TE, Mobasheri A, Neogi T, Roemer FW, Rothwell R, Shibuya R, Siegel J, Simon LS, Spindler KP, Nikolov NP. FDA/Arthritis Foundation osteoarthritis drug development workshop recap: Assessment of long-term benefit. Semin Arthritis Rheum. 2022 10; 56:152070.  View on PubMed
  4. Gao KT, Tibrewala R, Hess M, Bharadwaj UU, Inamdar G, Link TM, Chin CT, Pedoia V, Majumdar S. Automatic detection and voxel-wise mapping of lumbar spine Modic changes with deep learning. JOR Spine. 2022 Jun; 5(2):e1204.  View on PubMed
  5. Liao TC, Pedoia V, Link TM, Majumdar S, Souza RB. Association of patella alignment with cartilage relaxation times and self-reported symptoms in individuals with patellofemoral degeneration. J Orthop Res. 2022 May 22.  View on PubMed
  6. Scholes MJ, Kemp JL, Mentiplay BF, Heerey JJ, Agricola R, Semciw AI, Souza RB, Link TM, Majumdar S, King MG, Lawrenson PR, Crossley KM. Does Femoroacetabular Impingement Syndrome Affect Self-Reported Burden in Football Players With Hip and Groin Pain? Sports Health. 2022 Mar 23; 19417381221076141.  View on PubMed
  7. Lee JJ, Namiri NK, Astuto B, Link TM, Majumdar S, Pedoia V. A Personalized Risk Model Leverages MRI-based Structural Phenotypes and Clinical Factors to Predict Incidence of Radiographic Osteoarthritis. Arthritis Care Res (Hoboken). 2022 Mar 04.  View on PubMed
  8. Calivá F, Kamat S, Morales Martinez A, Majumdar S, Pedoia V. Surface spherical encoding and contrastive learning for virtual bone shape aging. Med Image Anal. 2022 04; 77:102388.  View on PubMed
  9. Jacobs CA, Conley CEW, Kraus VB, Lansdown DA, Lau BC, Li X, Majumdar S, Spindler KP, Lemaster NG, Stone AV. MOntelukast as a potential CHondroprotective treatment following Anterior cruciate ligament reconstruction (MOCHA Trial): study protocol for a double-blind, randomized, placebo-controlled clinical trial. Trials. 2022 Jan 31; 23(1):98.  View on PubMed
  10. Engelke K, Fuerst T, Glüer CC, Glüer MG, Hans D, Majumdar S, Peterfy C, Steiger P. In memoriam - Harry K Genant, MD. Bone. 2022 04; 157:116326.  View on PubMed
  11. Heerey J, Kemp J, Agricola R, Srinivasan R, Smith A, Pizzari T, King M, Lawrenson P, Scholes M, Link T, Souza R, Majumdar S, Crossley K. Cam morphology is associated with MRI-defined cartilage defects and labral tears: a case-control study of 237 young adult football players with and without hip and groin pain. BMJ Open Sport Exerc Med. 2021; 7(4):e001199.  View on PubMed
  12. Pedoia V, Caliva F, Kazakia G, Burghardt AJ, Majumdar S. Augmenting Osteoporosis Imaging with Machine Learning. Curr Osteoporos Rep. 2021 12; 19(6):699-709.  View on PubMed
  13. Calivà F, Namiri NK, Dubreuil M, Pedoia V, Ozhinsky E, Majumdar S. Studying osteoarthritis with artificial intelligence applied to magnetic resonance imaging. Nat Rev Rheumatol. 2022 02; 18(2):112-121.  View on PubMed
  14. Iriondo C, Mehany S, Shah R, Bharadwaj U, Bahroos E, Chin C, Diab M, Pedoia V, Majumdar S. Institution-wide shape analysis of 3D spinal curvature and global alignment parameters. J Orthop Res. 2022 08; 40(8):1896-1908.  View on PubMed
  15. Bolcos PO, Mononen ME, Roach KE, Tanaka MS, Suomalainen JS, Mikkonen S, Nissi MJ, Töyräs J, Link TM, Souza RB, Majumdar S, Ma CB, Li X, Korhonen RK. Subject-specific biomechanical analysis to estimate locations susceptible to osteoarthritis-Finite element modeling and MRI follow-up of ACL reconstructed patients. J Orthop Res. 2022 08; 40(8):1744-1755.  View on PubMed
  16. Morales AG, Lee JJ, Caliva F, Iriondo C, Liu F, Majumdar S, Pedoia V. Uncovering associations between data-driven learned qMRI biomarkers and chronic pain. Sci Rep. 2021 11 09; 11(1):21989.  View on PubMed
  17. Joseph GB, McCulloch CE, Sohn JH, Pedoia V, Majumdar S, Link TM. AI MSK clinical applications: cartilage and osteoarthritis. Skeletal Radiol. 2022 Feb; 51(2):331-343.  View on PubMed
  18. Han M, Tibrewala R, Bahroos E, Pedoia V, Majumdar S. Magnetization-prepared spoiled gradient-echo snapshot imaging for efficient measurement of R2 -R1ρ in knee cartilage. Magn Reson Med. 2022 02; 87(2):733-745.  View on PubMed
  19. Dayan I, Roth HR, Zhong A, Harouni A, Gentili A, Abidin AZ, Liu A, Costa AB, Wood BJ, Tsai CS, Wang CH, Hsu CN, Lee CK, Ruan P, Xu D, Wu D, Huang E, Kitamura FC, Lacey G, de Antônio Corradi GC, Nino G, Shin HH, Obinata H, Ren H, Crane JC, Tetreault J, Guan J, Garrett JW, Kaggie JD, Park JG, Dreyer K, Juluru K, Kersten K, Rockenbach MABC, Linguraru MG, Haider MA, AbdelMaseeh M, Rieke N, Damasceno PF, E Silva PMC, Wang P, Xu S, Kawano S, Sriswasdi S, Park SY, Grist TM, Buch V, Jantarabenjakul W, Wang W, Tak WY, Li X, Lin X, Kwon YJ, Quraini A, Feng A, Priest AN, Turkbey B, Glicksberg B, Bizzo B, Kim BS, Tor-Díez C, Lee CC, Hsu CJ, Lin C, Lai CL, Hess CP, Compas C, Bhatia D, Oermann EK, Leibovitz E, Sasaki H, Mori H, Yang I, Sohn JH, Murthy KNK, Fu LC, de Mendonça MRF, Fralick M, Kang MK, Adil M, Gangai N, Vateekul P, Elnajjar P, Hickman S, Majumdar S, McLeod SL, Reed S, Gräf S, Harmon S, Kodama T, Puthanakit T, Mazzulli T, de Lavor VL, Rakvongthai Y, Lee YR, Wen Y, Gilbert FJ, Flores MG, Li Q. Federated learning for predicting clinical outcomes in patients with COVID-19. Nat Med. 2021 10; 27(10):1735-1743.  View on PubMed
  20. Sadre R, Sundaram B, Majumdar S, Ushizima D. Validating deep learning inference during chest X-ray classification for COVID-19 screening. Sci Rep. 2021 08 09; 11(1):16075.  View on PubMed

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