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Hersh Sagreiya, MD

Hersh Sagreiya, MD Physician

Assistant Professor of Radiology at the Hospital of the University of Pennsylvania

Dr. Sagreiya is employed by Penn Medicine.

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Clinical Specialties


  • Radiology

Programs & Centers:

Board Certification:

  • Diagnostic Radiology, 2018

Practice Locations and Appointments

Insurance Accepted

  • Aetna US Healthcare
  • Amerihealth Caritas
  • Amerihealth Caritas Medicare
  • Cigna
  • Cigna HealthSpring
  • Clover Health Plan
  • CVS Health
  • Devon Health Services (Americare)
  • eLAP Services
  • Gateway Health Plan
  • Geisinger Health Plan
  • HealthAmerica / HealthAssurance, a Coventry Plan
  • HealthPartners
  • HealthPartners Medicare
  • HealthSmart
  • Highmark Blue Shield
  • Homestead Smart Health Plans
  • Horizon Blue Cross Blue Shield of New Jersey
  • Humana / Choicecare
  • Independence Blue Cross (Keystone East)
  • Intergroup
  • Keystone First
  • Keystone First Medicare
  • Multiplan
  • NJ Amerihealth
  • NJ Medicaid
  • NJ Medicare
  • NJ Qualcare
  • Oxford Health Plan
  • PA Health and Wellness (Centene) Medicare
  • PA Medicaid
  • PA Medicare
  • Preferred Care
  • Preferred Health Care/LGH
  • Provider Partners Health Plan
  • Rail Road Medicare / Palmetto GBA
  • Remedy Partners at Penn Medicine
  • Tricare
  • United Healthcare
  • UnitedHealthcare Community Plan
  • US Family Health Plan
  • Veterans Choice Program
  • Vibra Health Plan

Education and Training

Medical School: Stanford University School of Medicine
Residency: Abington Memorial Hospital
Residency: University of Pittsburgh Medical Center
Fellowship: Stanford University Medical Center

Hospital Affiliation

Dr. Sagreiya is employed by Penn Medicine.

Hospital Privileges:

  • Chester County Hospital: Has privileges to treat patients in the hospital.
  • Hospital of the University of Pennsylvania: Has privileges to treat patients in the hospital.
  • Penn Presbyterian Medical Center: Has privileges to treat patients in the hospital.
  • Pennsylvania Hospital: Has privileges to treat patients in the hospital.


Description of Research Expertise:

machine learning

Selected Publications:

Marshall, W., Sagreiya, H., Dunnmon, J., Rubin, D.L., Lungren, M., Patel, B.: Automated Detection of Renal Ultrasound Abnormalities Using Deep Learning. Radiologic Society of North America : 2019.

Madani, M., Madani, A., Chien, A., Feriancek, D., Flory, M., Sagreiya, H., Mofrad, M.R., Chan, F.: Machine Learning Detection of Endoleak Following Endovascular Aortic Repair American Heart Association Scientific Sessions 2019 : 2019.

Saab, K., Goldman, R., Dunmon, J., Ratner, A., Sagreiya, H., Rè, C., Rubin, D.L.: Doubly Weak Supervision of Deep Learning Models for Head CT International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) : 2019.

Sagreiya, H., Akhbardeh, A., Durot, I., Rubin, D.L.: Hepatic Fat Quantification using Ultrasound Point Shear Wave Elastography and Machine Learning Biomedical Engineering Society. : 2019.

Kobzarenko, V., Mitra, D., Akhbardeh, A., Sagreiya, H., El-Kaffas, A., Rubin, D.L., Lutz, A.: Clustering time series data from heterogenous cancer types visualized by 3D CEUS bolus World Molecular Imaging Congress : 2019.

Sagreiya, H., Akhbardeh, A., Durot, I., Rubin, D.L.: An Unsupervised Approach for Treatment Effectiveness Monitoring Using Curvature Learning World Molecular Imaging Congress : 2019.

Sagreiya Hersh, Akhbardeh Alireza, Li Dandan, Sigrist Rosa, Chung Benjamin I, Sonn Geoffrey A, Tian Lu, Rubin Daniel L, Willmann Jürgen K: Point Shear Wave Elastography Using Machine Learning to Differentiate Renal Cell Carcinoma and Angiomyolipoma. Ultrasound in medicine & biology 45 (8): 1944-1954,2019.

Banerjee Imon, Bozkurt Selen, Alkim Emel, Sagreiya Hersh, Kurian Allison W, Rubin Daniel L: Automatic inference of BI-RADS final assessment categories from narrative mammography report findings. Journal of biomedical informatics 92 : 103137,2019.

Akhbardeh Alireza, Sagreiya Hersh, El Kaffas Ahmed, Willmann Jürgen K, Rubin Daniel L: A multi-model framework to estimate perfusion parameters using contrast-enhanced ultrasound imaging. Medical Physics 46 (2): 590-600,2019.

Durot, I., Akhbardeh, A., Sagreiya, H., Loening, A.M., Rubin, D.L.: A New Multi-Model Machine Learning Framework to Improve Hepatic Fibrosis Grading Using Ultrasound Elastography Systems from Different Vendors. Ultrasound in Medicine and Biology : 2019.

View all publications

Academic Contact Info

Hospital of University of Pennsylvania
Department of Radiology
Division of Abdominal Imaging
3400 Spruce Street

Philadelphia, PA 19104
Phone: (215) 614-0351
Patient appointments: 800-789-7366 (PENN)