A General Framework for Dose Optimization. - Robert G. Turcott; Hersh Sagreiya; Euan A. Ashley; Russ B. Altman; Amar K. Das (AMIA, 2009)

An integrative method for scoring candidate genes from association studies: application to warfarin dosing. - Nicholas P. Tatonetti; Joel Dudley; Hersh Sagreiya; Atul J. Butte; Russ B. Altman (BMC Bioinform., 2010)

The utility of general purpose versus specialty clinical databases for research: Warfarin dose estimation from extracted clinical variables. - Hersh Sagreiya; Russ B. Altman (J. Biomed. Informatics, 2010)

Doubly Weak Supervision of Deep Learning Models for Head CT. - Khaled Saab 002; Jared Dunnmon; Roger E. Goldman; Alexander Ratner; Hersh Sagreiya; Christopher Ré; Daniel L. Rubin (MICCAI (3), 2019)

Automatic inference of BI-RADS final assessment categories from narrative mammography report findings. - Imon Banerjee; Selen Bozkurt; Emel Alkim; Hersh Sagreiya; Allison W. Kurian; Daniel L. Rubin (J. Biomed. Informatics, 2019)

Cross-Modal Data Programming Enables Rapid Medical Machine Learning. - Jared A. Dunnmon; Alexander J. Ratner; Khaled Saab 002; Nishith Khandwala; Matthew Markert; Hersh Sagreiya; Roger E. Goldman; Christopher Lee-Messer; Matthew P. Lungren; Daniel L. Rubin; Christopher Ré (Patterns, 2020)

Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank. - Matthew T. MacLean; Qasim Jehangir; Marijana Vujkovic; Yi-An Ko; Harold Litt; Arijitt Borthakur; Hersh Sagreiya; Mark Rosen; David A. Mankoff; Mitchell D. Schnall; Haochang Shou; Julio A. Chirinos; et al. (J. Am. Medical Informatics Assoc., 2021)

Learning-Based Radiomic Prediction of Type 2 Diabetes Mellitus Using Image-Derived Phenotypes. - Michael S. Yao; Allison Chae; Matthew T. MacLean; Anurag Verma; Jeffrey T. Duda; James C. Gee; Drew A. Torigian; Daniel J. Rader; Charles E. Kahn; Walter R. Witschey; Hersh Sagreiya (CoRR, 2022)

Predictive Model for ICU Readmission Based on Discharge Summaries Using Machine Learning and Natural Language Processing. - Negar Orangi-Fard; Alireza Akhbardeh; Hersh Sagreiya (Informatics, 2022)

SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification. - Michael S. Yao; Allison Chae; Matthew T. MacLean; Anurag Verma; Jeffrey T. Duda; James C. Gee; Drew A. Torigian; Daniel J. Rader; Charles E. Kahn; Walter R. Witschey; Hersh Sagreiya (PRIME@MICCAI, 2023)

CopilotCAD: Empowering Radiologists with Report Completion Models and Quantitative Evidence from Medical Image Foundation Models. - Sheng Wang; Tianming Du; Katherine Fischer; Gregory E. Tasian; Justin Ziemba; Joanie M. Garratt; Hersh Sagreiya; Yong Fan 001 (CoRR, 2024)

Machine learning-based algorithms for at-home respiratory disease monitoring and respiratory assessment. - Negar Orangi-Fard; Alexandru Bogdan; Hersh Sagreiya (CoRR, 2024)

Evidence Is All You Need: Ordering Imaging Studies via Language Model Alignment with the ACR Appropriateness Criteria. - Michael S. Yao; Allison Chae; Charles E. Kahn Jr.; Walter R. Witschey; James C. Gee; Hersh Sagreiya; Osbert Bastani (CoRR, 2024)

An Unsupervised Approach for Treatment Effectiveness Monitoring Using Curvature Learning. - Hersh Sagreiya; Isabelle Durot; Alireza Akhbardeh (Comput., 2024)