(The full list of publications)
Yunlu Zhang, Xue Wu, H. Michael Gach, Harold Li, Deshan Yang*, GroupRegNet: A Groupwise One-shot Deep Learning-based 4D Image Registration Method, Physics in Medicine & Biology, 66(4), 045030, 02/2021, https://iopscience.iop.org/article/10.1088/1361-6560/abd956
Austen Curcuru, Benjamin Lewis, Taeho Kim, Deshan Yang, H Michael Gach*, Effects of B0 eddy currents on imaging isocenter shifts in 0.35‐T MRI‐guided radiotherapy (MR‐IGRT) system, Medical Physics, March 2021, https://doi.org/10.1002/mp.14842
Michael Gach, H., Austen N. Curcuru, Taeho Kim, and Deshan Yang. "Effects of rotating gantry on magnetic field and eddy currents in 0.35 T MRI‐guided radiotherapy (MR‐IGRT) system." Medical physics 48, no. 11 (2021): 7228-7235., https://doi.org/10.1002/mp.15226
Austen N. Curcuru, Taeho Kim, Deshan Yang, H Michael Gach, Real-time B0 compensation during gantry rotation in a 0.35 T MRI-Linac. Medical Physics, Accepted, 07/26/2022, https://doi.org/10.1002/mp.15892
Zhao, Chenxi, Ye Duan, and Deshan Yang*. "Contour interpolation by deep learning approach." Journal of Medical Imaging 9, no. 6 (2022): 064003. https://doi.org/10.1117/1.JMI.9.6.064003
Zhang, Z., Liu, J., Yang, Deshan., Kamilov, U. S., & Hugo, G. D. (2023). Deep learning‐based motion compensation for four‐dimensional cone‐beam computed tomography (4D‐CBCT) reconstruction. Medical physics, 50(2), 808-820.
Sihao Chen, Cihat Eldeniz, Tyler J. Fraum, Daniel R. Ludwig, Weijie Gan, Jiaming Liu, Ulugbek S. Kamilov, Deshan Yang, H. Michael Gach, Hongyu An, Respiratory motion management using a single rapid MRI scan for a 0.35 T MRI-Linac system, Medical Physics, 05/2023, https://doi.org/10.1002/mp.16469
Xu Wang, Yao Hao, Ye Duan, Deshan Yang*, A deep learning approach to remove contrast from contrast-enhanced CT for proton dose calculation, JACMP, 01-2024, https://doi.org/10.1002/acm2.14266
Curcuru, Austen N., Deshan Yang, Hongyu An, Phillip S. Cuculich, Clifford G. Robinson, and H. Michael Gach. Minimizing CIED artifacts on a 0.35 T MRI‐Linac using deep learning. Journal of Applied Clinical Medical Physics (2024): e14304, https://doi.org/10.1002/acm2.14304
Edward R. Criscuolo, Yabo Fu, Yao Hao, Zhendong Zhang, Deshan Yang*, A comprehensive lung CT landmark pair dataset for evaluating deformable image registration algorithms. Medical Physics 51, 5 (2024): 3806-3817. https://doi.org/10.1002/mp.17026
John Ginn*, Chunhao Wang, Deshan Yang, Real-time 3D MR guided radiation therapy through orthogonal MR imaging and manifold learning, Medical Physics, 12/2024, https://doi.org/10.1002/mp.17556
Zhang Z, Criscuolo ER, Hao Y, McKeown T, Yang Deshan*. A vessel bifurcation liver CT landmark pair dataset for evaluating deformable image registration algorithms. Medical physics 52, no. 1 (2025): 703-715, https://doi.org/10.1002/mp.17507.
Jingtong Zhao, Eugene Vaios, Zhenyu Yang, Ke Lu, Scott Floyd, Deshan Yang, Hangjie Ji, Zachary J Reitman, Kyle J Lafata, Peter Fecci, John P. Kirkpatrick, Chunhao Wang, Radiogenomic Explainable AI with Neural Ordinary Differential Equation for Identifying Post-SRS Brain Metastasis Radionecrosis, Medical Physics 52, no. 4 (2025): 2661-2674, https://doi.org/10.1002/mp.17635
McKeown, Trevor, H. Michael Gach, Yao Hao, Hongyu An, Clifford G. Robinson, Phillip S. Cuculich, and Deshan Yang*. "ICD lead and primary metal artifact detection and inpainting in cardiac CT images." Medical physics 52, no. 7 (2025): e17947. https://doi.org/10.1002/mp.17947
Criscuolo, Edward R., Zhendong Zhang, Yao Hao, and Deshan Yang*. "A vessel bifurcation landmark pair dataset for abdominal CT deformable image registration (DIR) validation." Medical Physics (2025), https://doi.org/10.1002/mp.17907
Wang, Yuhao, Trevor McKeown, Yao Hao, Hongyu An, H. Michael Gach, Clifford G. Robinson, Phillip S. Cuculich, and Deshan Yang. "A motion analysis of cardiac substructures for guiding stereotactic arrhythmia radiotherapy motion management." Medical Physics 52, no. 9 (2025): e18115. https://doi.org/10.1002/mp.18115