Toward Data-Driven Radiology Education - Early Experience Building Multi-Institutional Academic Trainee Interpretation Log Database (MATILDA). - Po-Hao Chen 001; Thomas W. Loehfelm; Aaron P. Kamer; Andrew B. Lemmon; Tessa Sundaram Cook; Marc D. Kohli (J. Digit. Imaging, 2016)

IoT in Radiology: Using Raspberry Pi to Automatically Log Telephone Calls in the Reading Room. - Po-Hao Chen 001; Nathan M. Cross (J. Digit. Imaging, 2018)

Integrating Natural Language Processing and Machine Learning Algorithms to Categorize Oncologic Response in Radiology Reports. - Po-Hao Chen 001; Hanna M. Zafar; Maya Galperin-Aizenberg; Tessa Sundaram Cook (J. Digit. Imaging, 2018)

Ransomware Recovery and Imaging Operations: Lessons Learned and Planning Considerations. - Po-Hao Chen 001; Robert Bodak; Namita S. Gandhi (J. Digit. Imaging, 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 001; Long Xie; Robert Kurtz; Jeffrey B. Ware; Joshua Choi; Raghav R. Mattay; Emmanuel J. Botzolakis; James C. Gee; R. Nick Bryan; et al. (J. Digit. Imaging, 2021)

Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging. - Jielin Qiu; Peide Huang; Makiya Nakashima; Jaehyun Lee; Jiacheng Zhu; W. H. Wilson Tang; Pohao Chen 001; Christopher Nguyen; Byung-Hak Kim; Debbie Kwon; Douglas Weber; Ding Zhao; et al. (CoRR, 2023)

Indication Driven Autoregressive Report Generation for Cardiac Magnetic Resonance Imaging. - Makiya Nakashima; Po-Hao Chen 001; Michael Bolen; Christopher Nguyen; W. H. Wilson Tang; Richard Grimm; Deborah Kwon; David Chen 003 (ML4H@NeurIPS, 2024)

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 001; W. H. Wilson Tang; Deborah Kwon; David Chen 003 (J. Am. Medical Informatics Assoc., 2025)