Hersh Sagreiya

Assistant Professor

University of Pennsylvania

United States

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About

Hersh Sagreiya is an Assistant Professor at the University of Pennsylvania, USA. His research focuses on the application of machine learning in medical imaging and radiology, including respiratory disease monitoring, treatment effectiveness, and tumor characterization. Recent articles highlight his work on algorithms for patient care, lung ultrasound, and predictive modeling in critical care settings.

Articles (10)

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2025

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2025

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2024

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2024

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2024

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2023

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2022

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2022

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2021

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2020

Collaborators (2)

James Gee

Professor

University of Pennsylvania

UNITED STATES

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Chandra M. Sehgal

University of Pennsylvania

UNITED STATES

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Hersh Sagreiya

Research Interests

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Articles (10)

Evaluating acute image ordering for real-world patient cases via language model alignment with radiological guidelines

Development of Machine-Learning–Based Algorithms for Remote Respiratory Disease Monitoring and Assessment

An Unsupervised Approach for Treatment Effectiveness Monitoring Using Curvature Learning

Finding the Pieces to Treat the Whole: Using Radiomics to Identify Tumor Habitats

Strategies for Implementing Machine Learning Algorithms in the Clinical Practice of Radiology

Automated Lung Ultrasound Pulmonary Disease Quantification Using an Unsupervised Machine Learning Technique for COVID-19

Ultrasound Radiomics for the Detection of Early-Stage Liver Fibrosis

Predictive Model for ICU Readmission Based on Discharge Summaries Using Machine Learning and Natural Language Processing

Deep Learning in Kidney Ultrasound: Overview, Frontiers, and Challenges

Spatial Characterization of Tumor Perfusion Properties from 3D DCE-US Perfusion Maps are Early Predictors of Cancer Treatment Response

Collaborators (2)

James Gee

Chandra M. Sehgal

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