Hersh Sagreiya, MD
Assistant Professor of Radiology at the Hospital of the University of Pennsylvania
Member, ITMAT
Department: Radiology
Contact information
Hospital of University of Pennsylvania
Department of Radiology
Division of Abdominal Imaging
3400 Spruce Street
Philadelphia, PA 19104
Department of Radiology
Division of Abdominal Imaging
3400 Spruce Street
Philadelphia, PA 19104
Office: 215-614-0351
Publications
Education:
A.B. (Magna cum laude in Biochemical Sciences )
Harvard College, 2007.
MD (Medicine)
Stanford Medical School, 2012.
Permanent linkA.B. (Magna cum laude in Biochemical Sciences )
Harvard College, 2007.
MD (Medicine)
Stanford Medical School, 2012.
Description of Clinical Expertise
abdominal imagingultrasound
Description of Research Expertise
informaticsmachine learning
Selected Publications
Tran, R., Raghupathy, P., MacLean, M., Gee, J., Rader, D.J., Witschey, W.R., Sagreiya, H. : Hepatic steatosis in the diabetic population as assessed by using machine learning on CT scans. American Roentgen Ray Society Annual Meeting April 2023 Notes: Honolulu, HI.Elbanan, M., Sagreiya, H.: Artificial Intelligence in Trauma Imaging. A chapter in: Trauma Computed Tomography. Knollman (eds.). Springer, 2023 Notes: Book Chapter. In press.
Sagreiya, H., Sundaram, K., Sohn, J., Yadav, P.: An Indroduction to MR Sequences Used in Oncology with Application to MR-Linac. A chapter in: A Practical Guide to MR Linac. Das, Alongi, Yadav, and Mittal (eds.). Springer, 2023 Notes: Book chapter. In press.
Das, I.J., Sagreiya, H., Yadav, P., Allen, B.D.: "Basics of MR Imaging for the Radiation Oncologist." A chapter in: MR Linac Radiotherapy: A New Personalized Treatment Approach. Özyar, Inal, Hackett (eds.). Elsevier, 8: 5-32, December 2022 Notes: Book Chapter.
Sagreiya, H., Thompson, E., MacLean, M.T., Duda, J., Elahi, A., Tran, R., Raghupathy, P., Swago, S., Hazim, M., Bhattaru, A., Verma, A., Torigian, D.A., Kahn, C.E., Gee, J.C., Borthakur, A., Carr, R., Rader, D., Witschey, W.R.: Phenotypic and Biomarker Associations with Lean Steatosis using Image-derived Phenotypes from Abdominal CT Scans. Radiologic Society of North America November 2022 Notes: Chicago, IL.
Elali, A., Martin, K., Reid, D., Duda, J., Gee, J., Mesure, S., Moritz, B., Sagreiya, H., Chatterjee, N., Chahine, C., Borthakur, A., MacLean, M.T., Rader, D.J., Kahn, C.E., Witschey, W.R.: The Automated Inline Delivery to PACS of Abdominal and Hepatic Fat Imaging-Derived Phenotypes using Cloud-based Machine Learning Software. Radiologic Society of North America November 2022 Notes: Chicago, IL.
Borthakur, A., Sagreiya, H., Elahi, A., Duda, J., Torigian, D.A., Sundaram, K.M., Rosen, M.A., Gee, J.C., Kahn, C.E., Witschey, W.R.: Evaluating the performance of segmentation models for liver, spleen, and fat by radiologists. Radiologic Society of North America November 2022 Notes: Chicago, IL.
Al-Hasani, M., Sultan, L.R., Sagreiya, H., Cary, T., Karmacharya, M., Sehgal, C.M. : Ultrasound radiomics for the detection of early-stage liver fibrosis. MDPI Diagnostics 9(1), November 2022.
Chahine, C., Vu, P., Swago, S., Bhattaru, A., Thompson, E., Ikhlas, A., Oteng, E., Davidson, L., Tran, R., Hazim, M., Raghupathy, P., Omisore, O., Duda, J., Gee, J.C., Luks, V., Verma, A., Rader, D., Wu, G., Sagreiya, H., Witschey, W.R.: In Vivo Measurement of Abdominal Muscle Mass on CT using a Machine Learning Tool. Radiologic Society of North America November 2022 Notes: Chicago, IL.
Vu, P.T., Chahine, C., Swago, S., Bhattaru, A., Thompson, E., Ikhlas, A., Oteng, E., Davidson, L., Tran, R., Hazim, M., Raghupathy, P., Duda, J., Gee, J.C., Luks, V., Rader, D., Verma, A., Sagreiya, H., Witschey, W.R.: Automated Deep Learning Tool for Volumetric Assessment of Abdominal Muscle Mass on CT. Radiologic Society of North America November 2022 Notes: Chicago, IL.