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Hersh Sagreiya
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2020 – today
- 2024
- [j7]Hersh Sagreiya, Isabelle Durot, Alireza Akhbardeh:
An Unsupervised Approach for Treatment Effectiveness Monitoring Using Curvature Learning. Comput. 13(9): 227 (2024) - [i5]Sheng Wang, Tianming Du, Katherine Fischer, Gregory E. Tasian, Justin Ziemba, Joanie M. Garratt, Hersh Sagreiya, Yong Fan:
CopilotCAD: Empowering Radiologists with Report Completion Models and Quantitative Evidence from Medical Image Foundation Models. CoRR abs/2404.07424 (2024) - [i4]Negar Orangi-Fard, Alexandru Bogdan, Hersh Sagreiya:
Machine learning-based algorithms for at-home respiratory disease monitoring and respiratory assessment. CoRR abs/2409.03180 (2024) - [i3]Michael S. Yao, Allison Chae, Charles E. Kahn Jr., Walter R. Witschey, James C. Gee, Hersh Sagreiya, Osbert Bastani:
Evidence Is All You Need: Ordering Imaging Studies via Language Model Alignment with the ACR Appropriateness Criteria. CoRR abs/2409.19177 (2024) - 2023
- [c3]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:
SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification. PRIME@MICCAI 2023: 46-57 - 2022
- [j6]Negar Orangi-Fard, Alireza Akhbardeh, Hersh Sagreiya:
Predictive Model for ICU Readmission Based on Discharge Summaries Using Machine Learning and Natural Language Processing. Informatics 9(1): 10 (2022) - [i2]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:
Learning-Based Radiomic Prediction of Type 2 Diabetes Mellitus Using Image-Derived Phenotypes. CoRR abs/2209.10043 (2022) - 2021
- [j5]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, Scott M. Damrauer, Drew A. Torigian, Rotonya Carr, Daniel J. Rader, Walter R. Witschey:
Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank. J. Am. Medical Informatics Assoc. 28(6): 1178-1187 (2021) - 2020
- [j4]Jared A. Dunnmon, Alexander J. Ratner, Khaled Saab, Nishith Khandwala, Matthew Markert, Hersh Sagreiya, Roger E. Goldman, Christopher Lee-Messer, Matthew P. Lungren, Daniel L. Rubin, Christopher Ré:
Cross-Modal Data Programming Enables Rapid Medical Machine Learning. Patterns 1(2): 100019 (2020)
2010 – 2019
- 2019
- [j3]Imon Banerjee, Selen Bozkurt, Emel Alkim, Hersh Sagreiya, Allison W. Kurian, Daniel L. Rubin:
Automatic inference of BI-RADS final assessment categories from narrative mammography report findings. J. Biomed. Informatics 92 (2019) - [c2]Khaled Saab, Jared Dunnmon, Roger E. Goldman, Alexander Ratner, Hersh Sagreiya, Christopher Ré, Daniel L. Rubin:
Doubly Weak Supervision of Deep Learning Models for Head CT. MICCAI (3) 2019: 811-819 - [i1]Jared Dunnmon, Alexander Ratner, Nishith Khandwala, Khaled Saab, Matthew Markert, Hersh Sagreiya, Roger E. Goldman, Christopher Lee-Messer, Matthew P. Lungren, Daniel L. Rubin, Christopher Ré:
Cross-Modal Data Programming Enables Rapid Medical Machine Learning. CoRR abs/1903.11101 (2019) - 2010
- [j2]Nicholas P. Tatonetti, Joel Dudley, Hersh Sagreiya, Atul J. Butte, Russ B. Altman:
An integrative method for scoring candidate genes from association studies: application to warfarin dosing. BMC Bioinform. 11(S-9): S9 (2010) - [j1]Hersh Sagreiya, Russ B. Altman:
The utility of general purpose versus specialty clinical databases for research: Warfarin dose estimation from extracted clinical variables. J. Biomed. Informatics 43(5): 747-751 (2010)
2000 – 2009
- 2009
- [c1]Robert G. Turcott, Hersh Sagreiya, Euan A. Ashley, Russ B. Altman, Amar K. Das:
A General Framework for Dose Optimization. AMIA 2009
Coauthor Index
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