Jingwei Duan

Assistant Professor

The University of Texas MD Anderson Cancer Center

United States

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Dr. Jingwei Duan is an Assistant Professor at The University of Texas MD Anderson Cancer Center in the United States. His research interests focus on advanced radiation therapy techniques, deep learning applications in medical imaging, and improving treatment precision through innovative methodologies. Recent publications include studies on online adaptive radiation therapy, deep learning-based auto-segmentation, and enhanced imaging for personalized cancer treatment.

Articles (10)

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2025

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2025

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2025

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2025

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2025

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2025

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2024

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2024

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2023

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2023

Collaborators (3)

Yi Rong

Associate Professor

Mayo Clinic Arizona

UNITED STATES

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Richard Popple

Professor

The University of Alabama

UNITED STATES

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Rex Cardan

The University of Alabama

UNITED STATES

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Jingwei Duan

Research Interests

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Articles (10)

Assessing Dosimetric Benefits of Cone Beam Computed Tomography-Guided Online Adaptive Radiation Treatment Frequencies for Lung Cancer

Simulation‐free workflow for lattice radiation therapy using deep learning predicted synthetic computed tomography: A feasibility study

Improving the Precision of Deep-Learning-Based Head and Neck Target Auto-Segmentation by Leveraging Radiology Reports Using a Large Language Model

Assessing HyperSight iterative CBCT for dose calculation in online adaptive radiotherapy for pelvis and breast patients compared to synthetic CT

Leveraging high-fidelity mode for improved online adaptive stereotactic accelerated partial breast treatment efficiency

Deep Learning-Based Synthetic CT for Personalized Treatment Modality Selection Between Proton and Photon Therapy in Thoracic Cancer

Achieving accurate prostate auto-segmentation on CT in the absence of MR imaging

Enhancing Precision in Radiation Therapy for Locally Advanced Lung Cancer: A Case Study of Cone-Beam Computed Tomography (CBCT)-Based Online Adaptive Techniques and the Promise of HyperSight™ Iterative CBCT

Contour subregion error detection methodology using deep learning auto‐segmentation

First Report On Physician Assessment and Clinical Acceptability of Custom-Retrained Artificial Intelligence Models for Clinical Target Volume and Organs-at-Risk Auto-Delineation for Postprostatectomy Patients

Collaborators (3)

Yi Rong

Richard Popple

Rex Cardan

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