Hersh Sagreiya, MD

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

Contact information
Hospital of University of Pennsylvania
Department of Radiology
Division of Abdominal Imaging
3400 Spruce Street
Philadelphia, PA 19104
Office: 215-614-0351
Education:
A.B. (Magna cum laude in Biochemical Sciences )
Harvard College, 2007.
MD (Medicine)
Stanford Medical School, 2012.
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Description of Clinical Expertise

abdominal imaging
ultrasound

Description of Research Expertise

informatics
machine learning

Selected Publications

Cannella, R., Vernuccio, F., Sagreiya, H., Iranpour, N., Marin, D., Furlan, A. : Liver Imaging Reporting and Data System (LI-RADS) v2018: Diagnostic Value of Ancillary Features Favoring Malignancy in Observations at Intermediate (LR-3) and High Probability (LR-4) for Hepatocellular Carcinoma. European Radiology 30(7): 3770-3781, July 2020 Notes: doi: 10.1007/s00330-020-06698-9.

Dunmon, J., Ratner, A.J., Saab, K., Khandwala, N., Markert, M., Sagreiya, H., Goldman, R., Lee-Messer, C., Lungren, M.P., Rubin, D.L., Rè, C.: Cross-Modal Data Programming Enables Rapid Medical Machine Learning. Cell Patterns 1(2): 100019, May 2020 Notes: doi: 10.1016/j.patter.2020.100019.

El Kaffas, A., Hoogi, A., Zhou, J., Durot, I., Wang, H., Rosenberg, J., Tseng, A., Sagreiya, H., Akhbardeh, A., Kamaya, A., Rubin, D.L., Hristov, D., Willmann, J.K.: Spatial Characterization of Tumor Perfusion Properties from 3D DCE-US Perfusion Maps are Early Predictors of Cancer Treatment Response. Scientific Reports 10(1): 6996, April 2020.

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 46(1): 26-33, January 2020.

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 December 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 November 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), Lecture Notes in Computer Science 11766: 811-819, October 2019 Notes: Computer Science Conference Paper doi: https://doi.org/10.1007/978-3-030-32248-9_90.

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

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

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Last updated: 09/01/2020
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