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Deshan Yang

Professor of Radiation Oncology
Radiation Oncology
40 Duke Medicine Circle, 04212, PO Box 3640, Durham, NC 27710
40 Duke Medicine Circle, 04212, 3640 DUMC, Durham, NC 27710

Selected Publications


A comprehensive lung CT landmark pair dataset for evaluating deformable image registration algorithms.

Journal Article Med Phys · May 2024 PURPOSE: Deformable image registration (DIR) is a key enabling technology in many diagnostic and therapeutic tasks, but often does not meet the required robustness and accuracy for supporting clinical tasks. This is in large part due to a lack of high-qual ... Full text Open Access Link to item Cite

Technical note: Minimizing CIED artifacts on a 0.35 T MRI-Linac using deep learning.

Journal Article J Appl Clin Med Phys · March 2024 BACKGROUND: Artifacts from implantable cardioverter defibrillators (ICDs) are a challenge to magnetic resonance imaging (MRI)-guided radiotherapy (MRgRT). PURPOSE: This study tested an unsupervised generative adversarial network to mitigate ICD artifacts i ... Full text Link to item Cite

A deep learning approach to remove contrast from contrast-enhanced CT for proton dose calculation.

Journal Article J Appl Clin Med Phys · February 2024 PURPOSE: Non-Contrast Enhanced CT (NCECT) is normally required for proton dose calculation while Contrast Enhanced CT (CECT) is often scanned for tumor and organ delineation. Possible tissue motion between these two CTs raises dosimetry uncertainties, espe ... Full text Link to item Cite

Implementation of a knowledge-based decision support system for treatment plan auditing through automation.

Journal Article Med Phys · November 2023 BACKGROUND: Independent auditing is a necessary component of a comprehensive quality assurance (QA) program and can also be utilized for continuous quality improvement (QI) in various radiotherapy processes. Two senior physicists at our institution have be ... Full text Link to item Cite

Respiratory motion management using a single rapid MRI scan for a 0.35 T MRI-Linac system.

Journal Article Medical physics · October 2023 BackgroundMRI has a rapidly growing role in radiation therapy (RT) for treatment planning, real-time image guidance, and beam gating (e.g., MRI-Linac). Free-breathing 4D-MRI is desirable in respiratory motion management for therapy. Moreover, high ... Full text Cite

Deep learning-based motion compensation for four-dimensional cone-beam computed tomography (4D-CBCT) reconstruction.

Journal Article Med Phys · February 2023 BACKGROUND: Motion-compensated (MoCo) reconstruction shows great promise in improving four-dimensional cone-beam computed tomography (4D-CBCT) image quality. MoCo reconstruction for a 4D-CBCT could be more accurate using motion information at the CBCT imag ... Full text Open Access Link to item Cite

Contour interpolation by deep learning approach.

Journal Article J Med Imaging (Bellingham) · November 2022 PURPOSE: Contour interpolation is an important tool for expediting manual segmentation of anatomical structures. The process allows users to manually contour on discontinuous slices and then automatically fill in the gaps, therefore saving time and efforts ... Full text Open Access Link to item Cite

Real-time B0 compensation during gantry rotation in a 0.35-T MRI-Linac.

Journal Article Med Phys · October 2022 BACKGROUND: Rotation of the ferromagnetic gantry of a low magnetic field MRI-Linac was previously demonstrated to cause large center frequency offsets of ±400 Hz. The B0 off-resonances cause image artifacts and imaging isocenter shifts that would preclude ... Full text Open Access Link to item Cite

Dose uncertainty and resolution of polymer gel dosimetry using an MRI guided radiation therapy system's onboard 0.35 T scanner.

Journal Article Phys Med · May 2020 Magnetic Resonance Imaging (MRI) scanners are widely used for 3D gel dosimeters readout. However, limited access to MRI scanners is a challenge in MRI-based gel dosimetry. Recent clinical implementation of MRI-guided radiation therapy machines provides pot ... Full text Link to item Cite