Chih-Wei Chang, PhD
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Research Program
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Email Address
Biography
Chih-Wei Chang, PhD, is an assistant professor and medical physicist in the Department of Radiation Oncology at Emory University School of Medicine. Dr. Chang is a member of the Discovery and Developmental Therapeutics Research Program at Winship Cancer Institute of Emory University.
Education
Dr. Chang earned his PhD in nuclear engineering at North Carolina State University in Raleigh, North Carolina. He obtained his MS and BS in nuclear engineering and engineering and system science at the National Tsing Hua University in Hsinchu, Taiwan. He completed his medical physics residency with the Department of Radiation Oncology at Emory University School of Medicine in Atlanta, Georgia.
Titles & Roles
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Assistant Professor, Department of Radiation OncologyEmory University School of Medicine
Research
Dr. Chang's research interests include multidisciplinary approaches integrating state-of-the-art techniques, especially AI, to solve real-world challenges for radiation oncology and medical physics using GAI, physics-informed machine learning, digital-twin for online adaptive radiotherapy, and LLM-based clinical safety decision-making. He has been instrumental in formulating the physics-informed machine learning framework for nuclear system thermal-hydraulic simulation using partial differential equations. During his medical physics residency training at Emory University, He adapted this data-driven framework to enable CT-material characterization to improve proton range uncertainty and unsupervised deep learning-based CT metal artifact reduction.
Dr. Chang also devised a standardized commissioning framework for Monte Carlo-based treatment planning systems, which he applied to assess beam model uncertainties attributed to vendor upgrades and CT stoichiometric calibrations at Emory. This framework was also adopted by AAPM Task Group No. 349 - Commissioning of Monte Carlo Dose Calculation in Proton Therapy.
Publications
| Title/Journal | Authors | Publication Date |
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International journal of radiation oncology, biology, physics |
S Pan, CW Chang, Z Tian, T Wang, M Axente, J Shelton, T Liu, J Roper, X Yang | 04/01/2025 |
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Unsupervised Bayesian generation of synthetic CT from CBCT using patient-specific score-based prior. Medical physics |
J Peng, Y Gao, CW Chang, R Qiu, T Wang, A Kesarwala, K Yang, J Scott, D Yu, X Yang | 04/01/2025 |
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Triad: Vision Foundation Model for 3D Magnetic Resonance Imaging. Research square |
S Wang, M Safari, Q Li, CW Chang, RL Qiu, J Roper, DS Yu, X Yang | 03/10/2025 |
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A Physics-Informed Deep Learning Model for MRI Brain Motion Correction. ArXiv |
M Safari, S Wang, Z Eidex, R Qiu, CW Chang, DS Yu, X Yang | 02/13/2025 |
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ArXiv |
KD Shah, CW Chang, P Patel, S Tian, Y Shao, KA Higgins, Y Wang, J Roper, J Zhou, Z Tian, X Yang | 02/04/2025 |
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ArXiv |
M Safari, Z Eidex, CW Chang, RLJ Qiu, X Yang | 02/01/2025 |
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ArXiv |
KD Shah, CW Chang, S Tian, P Patel, R Qiu, J Roper, J Zhou, Z Tian, X Yang | 01/31/2025 |
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Exploration of an adaptive proton therapy strategy using CBCT with the concept of digital twins. Physics in medicine and biology |
CW Chang, Z Tian, RLJ Qiu, H Scott Mcginnis, D Bohannon, P Patel, Y Wang, DS Yu, SA Patel, J Zhou, X Yang | 01/17/2025 |
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ArXiv |
J Peng, T Wang, H Xie, RLJ Qiu, CW Chang, J Roper, DS Yu, X Tang, X Yang | 12/18/2024 |
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Patient-Specific CBCT Synthesis for Real-time Tumor Tracking in Surface-guided Radiotherapy. ArXiv |
S Pan, V Su, J Peng, J Li, Y Gao, CW Chang, T Wang, Z Tian, X Yang | 11/01/2024 |
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CT-based synthetic iodine map generation using conditional denoising diffusion probabilistic model. Medical physics |
Y Gao, H Xie, CW Chang, J Peng, S Pan, RLJ Qiu, T Wang, B Ghavidel, J Roper, J Zhou, X Yang | 09/01/2024 |
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Unsupervised Bayesian Generation of Synthetic CT from CBCT Using Patient-Specific Score-Based Prior. ArXiv |
J Peng, Y Gao, CW Chang, R Qiu, T Wang, A Kesarwala, K Yang, J Scott, D Yu, X Yang | 06/21/2024 |