Chunhao Wang | Scholars@Duke

Chunhao Wang
Assistant Professor of Radiation Oncology

Deep learning methods for image-based radiotherapy outcome prediction and assessment
Machine learning in outcome modelling
Automation in radiotherapy planning and delivery

Current Research Interests

Current Appointments & Affiliations

Assistant Professor of Radiation Oncology, Radiation Oncology, Clinical Science Departments 2021
Member of the Duke Cancer Institute, Duke Cancer Institute, Institutes and Centers 2020

Contact Information

04207 Red Zone, Morris Bldg, Duke South, DUMC, Durham, NC 27710
chunhao.wang@duke.edu (919) 668-5242

Background
Education, Training, & Certifications
- Medical Physics Resident, Radiation Oncology Physics Division, Duke University 2018 - 2019
- Medical Physics Resident, Radiation Oncology Physics Division, Duke University 2016 - 2018
- Ph.D., Duke University 2016
Previous Appointments & Affiliations
- Assistant Professor of Radiation Oncology, Radiation Oncology, Clinical Science Departments 2020
Recognition
Awards & Honors
- AAPM Science Council Associates Mentorship Fellowship. AAPM. July 2018
- BEST/AAPM Fellowship . AAPM. June 2017
- Annual Meeting Outstanding Abstract Travel Award. American Society of Radiation Oncology (ASTRO). June 2015
- Douglas Wagenaar Memorial Research Fellowship. Duke University. October 2014
Research
Selected Grants
- Clinical Experience Guided Reinforcement Learning for Pancreas SBRT 2019 - 2022
Publications & Artistic Works
Selected Publications
- Academic Articles
  - Hrinivich, W. T., T. Wang, and C. Wang. “Editorial: Interpretable and explainable machine learning models in oncology.” Frontiers in Oncology 13 (January 1, 2023). https://doi.org/10.3389/fonc.2023.1184428.
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  - Yang, Zhenyu, Kyle J. Lafata, Xinru Chen, James Bowsher, Yushi Chang, Chunhao Wang, and Fang-Fang Yin. “Quantification of lung function on CT images based on pulmonary radiomic filtering.” Med Phys 49, no. 11 (November 2022): 7278–86. https://doi.org/10.1002/mp.15837.
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  - Li, Xinyi, Yaorong Ge, Qiuwen Wu, Chunhao Wang, Yang Sheng, Wentao Wang, Hunter Stephens, Fang-Fang Yin, and Q Jackie Wu. “Input feature design and its impact on the performance of deep learning models for predicting fluence maps in intensity-modulated radiation therapy.” Phys Med Biol 67, no. 21 (October 21, 2022). https://doi.org/10.1088/1361-6560/ac9882.
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  - Wang, Chunhao, Kyle R. Padgett, Min-Ying Su, Eric A. Mellon, Danilo Maziero, and Zheng Chang. “Multi-parametric MRI (mpMRI) for treatment response assessment of radiation therapy.” Med Phys 49, no. 4 (April 2022): 2794–2819. https://doi.org/10.1002/mp.15130.
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  - Ji, Hangjie, Kyle Lafata, Yvonne Mowery, David Brizel, Andrea L. Bertozzi, Fang-Fang Yin, and Chunhao Wang. “Post-Radiotherapy PET Image Outcome Prediction by Deep Learning Under Biological Model Guidance: A Feasibility Study of Oropharyngeal Cancer Application.” Front Oncol 12 (2022): 895544. https://doi.org/10.3389/fonc.2022.895544.
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  - Li, Xinyi, Q Jackie Wu, Qiuwen Wu, Chunhao Wang, Yang Sheng, Wentao Wang, Hunter Stephens, Fang-Fang Yin, and Yaorong Ge. “Insights of an AI agent via analysis of prediction errors: a case study of fluence map prediction for radiation therapy planning.” Phys Med Biol 66, no. 23 (November 26, 2021). https://doi.org/10.1088/1361-6560/ac3841.
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  - Lafata, Kyle J., Yushi Chang, Chunhao Wang, Yvonne M. Mowery, Irina Vergalasova, Donna Niedzwiecki, David S. Yoo, Jian-Guo Liu, David M. Brizel, and Fang-Fang Yin. “Intrinsic radiomic expression patterns after 20 Gy demonstrate early metabolic response of oropharyngeal cancers.” Med Phys 48, no. 7 (July 2021): 3767–77. https://doi.org/10.1002/mp.14926.
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  - Li, Xinyi, Chunhao Wang, Yang Sheng, Jiahan Zhang, Wentao Wang, Fang-Fang Yin, Qiuwen Wu, Q Jackie Wu, and Yaorong Ge. “An artificial intelligence-driven agent for real-time head-and-neck IMRT plan generation using conditional generative adversarial network (cGAN).” Med Phys 48, no. 6 (June 2021): 2714–23. https://doi.org/10.1002/mp.14770.
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  - Lafata, Kyle J., Michael N. Corradetti, Junheng Gao, Corbin D. Jacobs, Jingxi Weng, Yushi Chang, Chunhao Wang, et al. “Radiogenomic Analysis of Locally Advanced Lung Cancer Based on CT Imaging and Intratreatment Changes in Cell-Free DNA.” Radiol Imaging Cancer 3, no. 4 (April 2021): e200157. https://doi.org/10.1148/rycan.2021200157.
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  - Zhang, Jiahan, Chunhao Wang, Yang Sheng, Manisha Palta, Brian Czito, Christopher Willett, Jiang Zhang, et al. “An Interpretable Planning Bot for Pancreas Stereotactic Body Radiation Therapy.” Int J Radiat Oncol Biol Phys 109, no. 4 (March 15, 2021): 1076–85. https://doi.org/10.1016/j.ijrobp.2020.10.019.
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  - Liu, Chenyang, Shen-Chiang Hu, Chunhao Wang, Kyle Lafata, and Fang-Fang Yin. “Automatic detection of pulmonary nodules on CT images with YOLOv3: development and evaluation using simulated and patient data.” Quant Imaging Med Surg 10, no. 10 (October 2020): 1917–29. https://doi.org/10.21037/qims-19-883.
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  - Li, Xinyi, Jiahan Zhang, Yang Sheng, Yushi Chang, Fang-Fang Yin, Yaorong Ge, Q Jackie Wu, and Chunhao Wang. “Automatic IMRT planning via static field fluence prediction (AIP-SFFP): a deep learning algorithm for real-time prostate treatment planning.” Phys Med Biol 65, no. 17 (September 8, 2020): 175014. https://doi.org/10.1088/1361-6560/aba5eb.
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  - Zhang, Jiahan, Yaorong Ge, Yang Sheng, Chunhao Wang, Jiang Zhang, Yuan Wu, Qiuwen Wu, Fang-Fang Yin, and Q Jackie Wu. “Knowledge-Based Tradeoff Hyperplanes for Head and Neck Treatment Planning.” Int J Radiat Oncol Biol Phys 106, no. 5 (April 1, 2020): 1095–1103. https://doi.org/10.1016/j.ijrobp.2019.12.034.
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  - Chang, Yushi, Kyle Lafata, Chunhao Wang, Xiaoyu Duan, Ruiqi Geng, Zhenyu Yang, and Fang-Fang Yin. “Digital phantoms for characterizing inconsistencies among radiomics extraction toolboxes.” Biomed Phys Eng Express 6, no. 2 (March 2, 2020): 025016. https://doi.org/10.1088/2057-1976/ab779c.
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  - Wang, Chunhao, Chenyang Liu, Yushi Chang, Kyle Lafata, Yunfeng Cui, Jiahan Zhang, Yang Sheng, Yvonne Mowery, David Brizel, and Fang-Fang Yin. “Dose-Distribution-Driven PET Image-Based Outcome Prediction (DDD-PIOP): A Deep Learning Study for Oropharyngeal Cancer IMRT Application.” Front Oncol 10 (2020): 1592. https://doi.org/10.3389/fonc.2020.01592.
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  - Wang, Wentao, Yang Sheng, Chunhao Wang, Jiahan Zhang, Xinyi Li, Manisha Palta, Brian Czito, et al. “Fluence Map Prediction Using Deep Learning Models - Direct Plan Generation for Pancreas Stereotactic Body Radiation Therapy.” Front Artif Intell 3 (2020): 68. https://doi.org/10.3389/frai.2020.00068.
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  - Liang, Xiao, Fang-Fang Yin, Chunhao Wang, and Jing Cai. “A robust deformable image registration enhancement method based on radial basis function.” Quant Imaging Med Surg 9, no. 7 (July 2019): 1315–25. https://doi.org/10.21037/qims.2019.07.05.
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  - Wang, Chunhao, Ergys Subashi, Fang-Fang Yin, Zheng Chang, and Jing Cai. “A Spatiotemporal-Constrained Sorting Method for Motion-Robust 4D-MRI: A Feasibility Study.” Int J Radiat Oncol Biol Phys 103, no. 3 (March 1, 2019): 758–66. https://doi.org/10.1016/j.ijrobp.2018.10.004.
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  - Chang, Yushi, Kyle Lafata, Wenzheng Sun, Chunhao Wang, Zheng Chang, John P. Kirkpatrick, and Fang-Fang Yin. “An investigation of machine learning methods in delta-radiomics feature analysis.” Plos One 14, no. 12 (2019): e0226348. https://doi.org/10.1371/journal.pone.0226348.
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  - Li, Xinyi, Jackie Wu, Manisha Palta, You Zhang, Yang Sheng, Jiahan Zhang, and Chunhao Wang. “A Collimator Setting Optimization Algorithm for Dual-Arc Volumetric Modulated Arc Therapy in Pancreas Stereotactic Body Radiation Therapy.” Technol Cancer Res Treat 18 (January 1, 2019): 1533033819870767. https://doi.org/10.1177/1533033819870767.
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  - Petroccia, Heather M., Irina Malajovich, Andrew R. Barsky, Alireza Fotouhi Ghiam, Joshua Jones, Chunhao Wang, Wei Zou, et al. “Spine SBRT With Halcyon™: Plan Quality, Modulation Complexity, Delivery Accuracy, and Speed.” Front Oncol 9 (2019): 319. https://doi.org/10.3389/fonc.2019.00319.
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  - Sheng, Yang, Jiahan Zhang, Chunhao Wang, Fang-Fang Yin, Q Jackie Wu, and Yaorong Ge. “Incorporating Case-Based Reasoning for Radiation Therapy Knowledge Modeling: A Pelvic Case Study.” Technol Cancer Res Treat 18 (January 1, 2019): 1533033819874788. https://doi.org/10.1177/1533033819874788.
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  - Wang, Chunhao, Xiaofeng Zhu, Julian C. Hong, and Dandan Zheng. “Artificial Intelligence in Radiotherapy Treatment Planning: Present and Future.” Technol Cancer Res Treat 18 (January 1, 2019): 1533033819873922. https://doi.org/10.1177/1533033819873922.
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  - Zhang, Jiang, Q Jackie Wu, Yaorong Ge, Chunhao Wang, Yang Sheng, Jatinder Palta, Joseph K. Salama, Fang-Fang Yin, and Jiahan Zhang. “Knowledge-Based Statistical Inference Method for Plan Quality Quantification.” Technol Cancer Res Treat 18 (January 1, 2019): 1533033819857758. https://doi.org/10.1177/1533033819857758.
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  - Zheng, Dandan, Julian C. Hong, Chunhao Wang, and Xiaofeng Zhu. “Radiotherapy Treatment Planning in the Age of AI: Are We Ready Yet?” Technol Cancer Res Treat 18 (2019): 1533033819894577. https://doi.org/10.1177/1533033819894577.
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  - Lafata, Kyle, Jing Cai, Chunhao Wang, Julian Hong, Chris R. Kelsey, and Fang-Fang Yin. “Spatial-temporal variability of radiomic features and its effect on the classification of lung cancer histology.” Phys Med Biol 63, no. 22 (November 8, 2018): 225003. https://doi.org/10.1088/1361-6560/aae56a.
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  - Harris, Wendy, Chunhao Wang, Fang-Fang Yin, Jing Cai, and Lei Ren. “A Novel method to generate on-board 4D MRI using prior 4D MRI and on-board kV projections from a conventional LINAC for target localization in liver SBRT.” Med Phys 45, no. 7 (July 2018): 3238–45. https://doi.org/10.1002/mp.12998.
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  - Wang, Chunhao, Wenzheng Sun, John Kirkpatrick, Zheng Chang, and Fang-Fang Yin. “Assessment of concurrent stereotactic radiosurgery and bevacizumab treatment of recurrent malignant gliomas using multi-modality MRI imaging and radiomics analysis.” J Radiosurg Sbrt 5, no. 3 (2018): 171–81.
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  - Harris, Wendy, Fang-Fang Yin, Chunhao Wang, You Zhang, Jing Cai, and Lei Ren. “Accelerating volumetric cine MRI (VC-MRI) using undersampling for real-time 3D target localization/tracking in radiation therapy: a feasibility study.” Phys Med Biol 63, no. 1 (December 14, 2017): 01NT01. https://doi.org/10.1088/1361-6560/aa9746.
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  - Wang, Chunhao, Fang-Fang Yin, W. P. Segars, Zheng Chang, and Lei Ren. “Development of a Computerized 4-D MRI Phantom for Liver Motion Study.” Technol Cancer Res Treat 16, no. 6 (December 2017): 1051–59. https://doi.org/10.1177/1533034617723753.
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  - Wang, Chunhao, Fang-Fang Yin, John P. Kirkpatrick, and Zheng Chang. “Accelerated Brain DCE-MRI Using Iterative Reconstruction With Total Generalized Variation Penalty for Quantitative Pharmacokinetic Analysis: A Feasibility Study.” Technol Cancer Res Treat 16, no. 4 (August 2017): 446–60. https://doi.org/10.1177/1533034616649294.
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  - Wang, Chunhao, Janet K. Horton, Fang-Fang Yin, and Zheng Chang. “Assessment of Treatment Response With Diffusion-Weighted MRI and Dynamic Contrast-Enhanced MRI in Patients With Early-Stage Breast Cancer Treated With Single-Dose Preoperative Radiotherapy: Initial Results.” Technol Cancer Res Treat 15, no. 5 (October 2016): 651–60. https://doi.org/10.1177/1533034615593191.
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  - Wang, Chunhao, Ergys Subashi, Xiao Liang, Fang-Fang Yin, and Zheng Chang. “Evaluation of the effect of transcytolemmal water exchange analysis for therapeutic response assessment using DCE-MRI: a comparison study.” Phys Med Biol 61, no. 13 (July 7, 2016): 4763–80. https://doi.org/10.1088/0031-9155/61/13/4763.
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  - Wang, Chunhao, Ergys Subashi, Fang-Fang Yin, and Zheng Chang. “Dynamic fractal signature dissimilarity analysis for therapeutic response assessment using dynamic contrast-enhanced MRI.” Med Phys 43, no. 3 (March 2016): 1335–47. https://doi.org/10.1118/1.4941739.
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  - Wang, Chunhao, Fang-Fang Yin, and Zheng Chang. “An efficient calculation method for pharmacokinetic parameters in brain permeability study using dynamic contrast-enhanced MRI.” Magn Reson Med 75, no. 2 (February 2016): 739–49. https://doi.org/10.1002/mrm.25659.
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  - Horton, Janet K., Rachel C. Blitzblau, Sua Yoo, Joseph Geradts, Zheng Chang, Jay A. Baker, Gregory S. Georgiade, et al. “Preoperative Single-Fraction Partial Breast Radiation Therapy: A Novel Phase 1, Dose-Escalation Protocol With Radiation Response Biomarkers.” Int J Radiat Oncol Biol Phys 92, no. 4 (July 15, 2015): 846–55. https://doi.org/10.1016/j.ijrobp.2015.03.007.
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- Conference Papers
  - Yang, Zhenyu, Zongsheng Hu, Hangjie Ji, Kyle Lafata, Eugene Vaios, Scott Floyd, Fang-Fang Yin, and Chunhao Wang. “A neural ordinary differential equation model for visualizing deep neural network behaviors in multi-parametric MRI-based glioma segmentation.” In Med Phys, 2023. https://doi.org/10.1002/mp.16286.
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  - Hu, Zongsheng, Zhenyu Yang, Kyle J. Lafata, Fang-Fang Yin, and Chunhao Wang. “A radiomics-boosted deep-learning model for COVID-19 and non-COVID-19 pneumonia classification using chest x-ray images.” In Med Phys, 49:3213–22, 2022. https://doi.org/10.1002/mp.15582.
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  - Li, X., Q. J. J. Wu, Q. Wu, C. Wang, Y. Sheng, W. Wang, H. Stephens, F. F. Yin, and Y. Ge. “Collect Insights of an H&N IMRT Planning AI Agent Through Analyzing Relationships Between Fluence Map Prediction Error and the Corresponding Dosimetric Impacts.” In International Journal of Radiation Oncology, Biology, Physics, 111:e94, 2021. https://doi.org/10.1016/j.ijrobp.2021.07.479.
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  - Wang, C., Y. Xie, Z. Hu, F. F. Yin, Z. Reitman, and Y. Cui. “A Dosimetric Study Comparing Two Beam Arrangement Strategies in Fractionated Thoracic Spine Stereotactic Body Radiotherapy (SBRT) Planning.” In International Journal of Radiation Oncology, Biology, Physics, 111:e557, 2021. https://doi.org/10.1016/j.ijrobp.2021.07.1510.
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  - Wang, C., X. Li, Y. Chang, Y. Sheng, J. Zhang, F. F. Yin, and Q. J. J. Wu. “Rapid Auto IMRT Planning Using Cascade Dense Convolutional Neural Network (CDCNN): A Feasibility Study for Fluence Map Prediction Using Deep Learning on Prostate IMRT Patients.” In International Journal of Radiation Oncology*Biology*Physics, 105:E789–90. Elsevier BV, 2019. https://doi.org/10.1016/j.ijrobp.2019.06.760.
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  - Li, X., J. Wu, M. Palta, Y. Zhang, Y. Sheng, J. Zhang, and C. Wang. “A Collimator Setting Optimization Algorithm for Dual-Arc Volumetric Modulated Arc Therapy in Pancreas Stereotactic Body Radiation Therapy.” In Technology in Cancer Research and Treatment, Vol. 18, 2019. https://doi.org/10.1177/1533033819870767.
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  - Sheng, Y., J. Zhang, C. Wang, F. F. Yin, Q. J. Wu, and Y. Ge. “Incorporating Case-Based Reasoning for Radiation Therapy Knowledge Modeling: A Pelvic Case Study.” In Technology in Cancer Research and Treatment, Vol. 18, 2019. https://doi.org/10.1177/1533033819874788.
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Teaching & Mentoring
Recent Courses
Scholarly, Clinical, & Service Activities
Clinical Activities
- - Gastrointestinal radiotherapy planning
  - Liver/pancreas stereotactic body radiation therapy (SBRT)
  - SRS planning
  - GYN HDR and eye plaque LDR brachytherapy

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Education, Training, & Certifications

Previous Appointments & Affiliations

Awards & Honors

Selected Grants

Selected Publications

Academic Articles

Conference Papers

Recent Courses

Clinical Activities