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ORCIDPo-Hao Chen 0001
Person information
- affiliation: Cleveland Clinic, Diagnostics Institute, Heart Vascular and Thoracic Institute, Department of Diagnostic Radiology, OH, USA
- affiliation: University of Pennsylvania, Department of Radiology, Perelman School of Medicine, PA, USA
- affiliation: Hospital of the University of Pennsylvania, Musculoskeletal Imaging, Department of Radiology, PA, USA
Other persons with the same name
- Po-Hao Chen — disambiguation page
- Po-Hao Chen 0002
![[0009-0005-8164-7061]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0005-8164-7061")
(aka: Po Hao Chen 0002) — Boston University, RI, USA (and 1 more)
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2020 – today
- 2025
[j6]Xiaotan Sun, Makiya Nakashima, Christopher Nguyen, Po-Hao Chen, W. H. Wilson Tang, Deborah Kwon, David Chen:
FairICP: identifying biases and increasing transparency at the point of care in post-implementation clinical decision support using inductive conformal prediction. J. Am. Medical Informatics Assoc. 32(8): 1299-1309 (2025)- 2024
- [c1]Makiya Nakashima, Po-Hao Chen, Michael Bolen, Christopher Nguyen, W. H. Wilson Tang, Richard Grimm, Deborah Kwon, David Chen:
Indication Driven Autoregressive Report Generation for Cardiac Magnetic Resonance Imaging. ML4H@NeurIPS 2024: 775-786 - 2023
- [i1]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:
Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging. CoRR abs/2304.07675 (2023) - 2021
- [j5]Po-Hao Chen, Robert Bodak, Namita S. Gandhi:
Ransomware Recovery and Imaging Operations: Lessons Learned and Planning Considerations. J. Digit. Imaging 34(3): 731-740 (2021) - [j4]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:
Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance. J. Digit. Imaging 34(4): 1049-1058 (2021)
2010 – 2019
- 2018
- [j3]Po-Hao Chen, Hanna M. Zafar, Maya Galperin-Aizenberg, Tessa Sundaram Cook:
Integrating Natural Language Processing and Machine Learning Algorithms to Categorize Oncologic Response in Radiology Reports. J. Digit. Imaging 31(2): 178-184 (2018) - [j2]Po-Hao Chen, Nathan M. Cross:
IoT in Radiology: Using Raspberry Pi to Automatically Log Telephone Calls in the Reading Room. J. Digit. Imaging 31(3): 371-378 (2018) - 2016
- [j1]Po-Hao Chen, Thomas W. Loehfelm, Aaron P. Kamer, Andrew B. Lemmon, Tessa Sundaram Cook, Marc D. Kohli:
Toward Data-Driven Radiology Education - Early Experience Building Multi-Institutional Academic Trainee Interpretation Log Database (MATILDA). J. Digit. Imaging 29(6): 638-644 (2016)
Coauthor Index
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