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Chunhao Wang

Associate Professor of Radiation Oncology
Radiation Oncology
04207 Red Zone, Morris Bldg, Duke South, DUMC, Durham, NC 27710

Overview


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



Current Duke Appointments & Affiliations


Associate Professor of Radiation Oncology · 2025 - Present Radiation Oncology, Clinical Science Departments
Member of the Duke Cancer Institute · 2020 - Present Duke Cancer Institute, Institutes and Centers

Recent News Items


Published July 10, 2025
How Duke is Transforming Care for Brain and Spine Metastasis

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Recent Scholarly Works


An Explainable Deep Model for Risk Scoring and Accurate Radionecrosis Identification Following Brain Metastasis Stereotactic Radiosurgery.

Conference Int J Radiat Oncol Biol Phys · June 1, 2026 PURPOSE: As survival improves for patients with brain metastases (BM), distinguishing local recurrence (LR) from radionecrosis (RN) is a growing neuro-oncologic challenge. We aimed to develop an explainable deep learning model to noninvasively distinguish ... Full text Link to item Cite

Identifying predictive factors for radiation necrosis vs local recurrence in biopsy-proven enlarging lesions post-stereotactic radiosurgery for brain metastases.

Journal article Neurooncol Pract · June 2026 BACKGROUND: Stereotactic radiosurgery (SRS) remains the standard of care for brain metastases (BM), offering effective local control with fewer neurocognitive side effects. However, distinguishing radiation necrosis (RN) from local recurrence (LR) is chall ... Full text Link to item Cite

A voxel-wise uncertainty-guided framework for glioma segmentation using spherical projection-based U-Net and localized refinement.

Journal article Med Phys · March 2026 BACKGROUND: Accurate segmentation of glioma subregions from multi-parametric MRI (MP-MRI) is critical for clinical management but remains challenging due to tumor heterogeneity and ambiguous tissue boundaries. PURPOSE: This study proposes an uncertainty-gu ... Full text Link to item Cite
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Recent Grants


Computational tumor phenotyping to interrogate treatment resistance and immune dysregulation in head and neck cancer

ResearchCo Investigator · Awarded by National Cancer Institute · 2024 - 2029

Clinical Experience Guided Reinforcement Learning for Pancreas SBRT

ResearchCollaborating Investigator · Awarded by Varian Medical Systems, Inc. · 2019 - 2022

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Education


Duke University · 2016 Ph.D.