Chih-Wei Chang
Overview
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 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.
Dr. Chang's research interests include multidisciplinary approaches that integrate state-of-the-art techniques, especially AI, to solve real-world challenges in radiation oncology and medical physics. These approaches utilize GAI, physics-informed machine learning, digital twins 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."
Academic Appointment
- Assistant Professor, Department of Radiation Oncology, Emory University School of Medicine
Education
Degrees
- PhD from North Carolina State University
- MS from National Tsing Hua University
- BS from National Tsing Hua University
Research
Publications
-
Optimization-based image reconstruction regularized with inter-spectral structural similarity for limited-angle dual-energy cone-beam CT.
Phys Med Biol
06/25/2025 Authors: Peng J; Wang T; Xie H; Qiu RLJ; Chang C-W; Roper J; Yu DS; Tang X; Yang X -
A novel inverse treatment planning training method for inexperienced treatment planners.
Phys Eng Sci Med
06/23/2025 Authors: Momin S; Luca K; Lei Y; Chang C-W; Xie H; Kei T; Adams J; Davis T; Yang X; Jani A -
MRI motion correction via efficient residual-guided denoising diffusion probabilistic models.
ArXiv
05/06/2025 Authors: Safari M; Wang S; Li Q; Eidex Z; Qiu RLJ; Chang C-W; Mao H; Yang X -
Data-Driven Volumetric Computed Tomography Image Generation From Surface Structures Using a Patient-Specific Deep Leaning Model.
Int J Radiat Oncol Biol Phys Volume: 121 Page(s): 1349 - 1360
04/01/2025 Authors: Pan S; Chang C-W; Tian Z; Wang T; Axente M; Shelton J; Liu T; Roper J; Yang X -
Unsupervised Bayesian generation of synthetic CT from CBCT using patient-specific score-based prior.
Med Phys Volume: 52 Page(s): 2238 - 2246
04/01/2025 Authors: Peng J; Gao Y; Chang C-W; Qiu R; Wang T; Kesarwala A; Yang K; Scott J; Yu D; Yang X -
Triad: Vision Foundation Model for 3D Magnetic Resonance Imaging.
03/10/2025 Authors: Wang S; Safari M; Li Q; Chang C-W; Qiu RL; Roper J; Yu DS; Yang X -
A Physics-Informed Deep Learning Model for MRI Brain Motion Correction.
ArXiv
02/13/2025 Authors: Safari M; Wang S; Eidex Z; Qiu R; Chang C-W; Yu DS; Yang X -
A Comparative Dosimetric Study of Proton and Photon Therapy in Stereotactic Arrhythmia Radioablation for Ventricular Tachycardia.
ArXiv
02/04/2025 Authors: Shah KD; Chang C-W; Patel P; Tian S; Shao Y; Higgins KA; Wang Y; Roper J; Zhou J; Tian Z -
Advancing MRI Reconstruction: A Systematic Review of Deep Learning and Compressed Sensing Integration.
ArXiv
02/01/2025 Authors: Safari M; Eidex Z; Chang C-W; Qiu RLJ; Yang X -
Evaluating the Efficacy and Safety of Stereotactic Arrhythmia Radioablation in Ventricular Tachycardia: A Comprehensive Systematic Review and Meta-Analysis.
ArXiv
01/31/2025 Authors: Shah KD; Chang C-W; Tian S; Patel P; Qiu R; Roper J; Zhou J; Tian Z; Yang X