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Hari Trivedi, MD

TitleClinical Fellow
InstitutionUniversity of California San Francisco
DepartmentRadiology
Address505 Parnassus Avenue
San Francisco CA 94117
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    Collapse Biography 
    Collapse Education and Training
    University of California, San Francisco07/2018Musculoskeletal Imaging Fellow
    University of California, San Francisco07/2017Diagnostic Radiology Residency
    Carolinas Medical Center07/2013Internal Medicine Internship
    National Institutes of Health07/2010Clinical Research Fellow
    Medical College of GeorgiaMD07/2012Doctor of Medicine
    Georgia Institute of TechnologyBS05/2007Biomedical Engineering
    Collapse Awards and Honors
    2017RSNA Student Travel Award
    2017SIIM 2017 Annual Meeting Scientific Award
    2017Margulis Society Outstanding Resident Research Award
    2016National Institutes of Health T32 Training Grant Recipient
    2011Alpha Omega Alpha Honor Medical Society
    2007AEMB National Biomedical Engineering Honor Society

    Collapse Overview 
    Collapse Overview
    Dr. Trivedi is a Clinical Fellow in the department of Musculoskeletal Imaging. His research interests include deep learning, natural language processing, and big data.

    Dr. Trivedi serves as the clinical lead for a team developing a 1M mammogram database annotated with routine radiologic and pathologic clinical data. The group has developed several algorithms for the detection of breast cancer and is currently working to improve performance and validate on external datasets.

    He has received multiple awards and grants, including the NIH T32 Research Grant, RSNA student travel award, SIIM Scientific Award, and Margulis Society Outstanding Resident Research Award.


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    Collapse In The News

    Collapse Bibliographic 
    Collapse Publications
    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help.
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    1. Trivedi H, Mesterhazy J, Laguna B, Vu T, Sohn JH. Automatic Determination of the Need for Intravenous Contrast in Musculoskeletal MRI Examinations Using IBM Watson's Natural Language Processing Algorithm. J Digit Imaging. 2018 Apr; 31(2):245-251. PMID: 28924815.
      View in: PubMed
    2. Trivedi H, Harnish R, Kawczynski M, et al.Radiologic Society of North America Annual Meeting. A predictive deep learning model to determine the presence of breast cancer on screening and diagnostic mammograms. 2017.
    3. Trivedi H, Sohn JH, Harnish R, Kawczynski M, et al.Radiologic Society of North America Annual Meeting. Evaluation of Neuro FDG-PET for Alzheimer’s disease using neural networks. 2017.
    4. Kawczynski M, Harnish R, Trivedi H, et al.Data Science & Computation Precision Health Symposium. Computer-aided labeling of BI-RADS score via deep learning on mammographic images. 2017.
    5. Trivedi H, Harnish R, Kawczynski M, et al.Data Science & Computation Precision Health Symposium. Development of a robustly labeled pathology database for prediction of breast cancer through deep learning of mammographic images. 2017.
    6. Young A, Wong A…Trivedi HM, et al.Data Science & Computation Precision Health Symposium. The Effectiveness of Transfer Learning for Training Deep and Model Stacking Learning Models on Siloed Data. 2017.
    7. Trivedi H, Link TM, O'Donnell RJ, Horvai AE, Motamedi D. Multiple hereditary exostoses: A pseudoaneurysm masquerading as tumor. J Radiol Case Rep. 2016 Aug; 10(8):50-59. PMID: 27761193.
      View in: PubMed