Po-Hao Chen

According to our database, Po-Hao Chen authored at least 11 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

RSNA Large Language Model Benchmark Dataset for Chest Radiographs of Cardiothoracic Disease: Radiologist Evaluation and Validation Enhanced by AI Labels (REVEAL-CXR).

Yishu Wei, Adam E. Flanders, Errol Colak, John Mongan, Luciano M. Prevedello, Po-Hao Chen, Henrique Min Ho Lee, Gilberto Szarf, Hamilton Shoji, Jason Sho, Katherine P. Andriole, Tessa Sundaram Cook, Lisa C. Adams, Linda C. Chu, Maggie Chung, Geraldine Brusca-Augello, Djeven P. Deva, Navneet Singh, Felipe Antonio Sanchez Tijmes, Jeffrey B. Alpert, Elsie T. Nguyen, Drew A. Torigian, Kate Hanneman, Lauren K. Groner, Alexander Phan, Ali Islam, Matias F. Callejas, Gustavo Borges da Silva Teles, Faisal Jamal, Maryam Vazirabad, Ali Tejani, Hari Trivedi, Paulo Eduardo de Aguiar Kuriki, Rajesh Bhayana, Elana T. Benishay, Yi Lin, Yifan Peng, George Shih

CoRR, January, 2026

2025

Comparative Analysis of Total Cost of Ownership: Commercial-Grade versus Diagnostic-Grade Displays in Remote Radiology Workstations.

Katie Hulme, Jennifer Arnold, Ryan Thomas, Roy Kittelberger, Namita S. Gandhi, Douglas Nachand, Po-Hao Chen

J. Imaging Inform. Medicine, 2025

Protecting Radiology Data and Devices Against Cybersecurity Threats: A Joint White Paper of the American College of Radiology (ACR) and Society for Imaging Informatics in Medicine (SIIM).

Po-Hao Chen, Benoit Desjardins, Brett Strassner, Reza Forghani, Robert Bodak, Judy Gichoya, James Whitfill, Eric C. Ehman, Christoph Wald

J. Imaging Inform. Medicine, 2025

FairICP: identifying biases and increasing transparency at the point of care in post-implementation clinical decision support using inductive conformal prediction.

Xiaotan Sun, Makiya Nakashima, Christopher Nguyen, Po-Hao Chen, W. H. Wilson Tang, Deborah Kwon, David Chen

J. Am. Medical Informatics Assoc., 2025

2024

Indication Driven Autoregressive Report Generation for Cardiac Magnetic Resonance Imaging.

Makiya Nakashima, Po-Hao Chen, Michael Bolen, Christopher Nguyen, W. H. Wilson Tang, Richard Grimm, Deborah Kwon, David Chen

Proceedings of the Machine Learning for Health, 2024

2023

Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging.

Jielin Qiu, Peide Huang, Makiya Nakashima, Jaehyun Lee, Jiacheng Zhu, W. H. Wilson Tang, Pohao Chen, Christopher Nguyen, Byung-Hak Kim, Debbie Kwon, Douglas Weber, Ding Zhao, David Chen

CoRR, 2023

2021

Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance.

Jeffrey D. Rudie, Jeffrey T. Duda, Michael Tran Duong, Po-Hao Chen, Long Xie, Robert Kurtz, Jeffrey B. Ware, Joshua Choi, Raghav R. Mattay, Emmanuel J. Botzolakis, James C. Gee, R. Nick Bryan, Tessa Sundaram Cook, Suyash Mohan, Ilya M. Nasrallah, Andreas M. Rauschecker

J. Digit. Imaging, 2021

Ransomware Recovery and Imaging Operations: Lessons Learned and Planning Considerations.

Po-Hao Chen, Robert Bodak, Namita S. Gandhi

J. Digit. Imaging, 2021

2018

Integrating Natural Language Processing and Machine Learning Algorithms to Categorize Oncologic Response in Radiology Reports.

Po-Hao Chen, Hanna M. Zafar, Maya Galperin-Aizenberg, Tessa Sundaram Cook

J. Digit. Imaging, 2018

IoT in Radiology: Using Raspberry Pi to Automatically Log Telephone Calls in the Reading Room.

Po-Hao Chen, Nathan M. Cross

J. Digit. Imaging, 2018

2016

Toward Data-Driven Radiology Education - Early Experience Building Multi-Institutional Academic Trainee Interpretation Log Database (MATILDA).

Po-Hao Chen, Thomas W. Loehfelm, Aaron P. Kamer, Andrew B. Lemmon, Tessa Sundaram Cook, Marc D. Kohli

J. Digit. Imaging, 2016