Xun Jia
Xun Jia
Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University
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Low-dose CT reconstruction via edge-preserving total variation regularization
Z Tian, X Jia, K Yuan, T Pan, SB Jiang
Physics in Medicine & Biology 56 (18), 5949, 2011
A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning
D Nguyen, T Long, X Jia, W Lu, X Gu, Z Iqbal, S Jiang
Scientific reports 9 (1), 1076, 2019
GPU‐based fast cone beam CT reconstruction from undersampled and noisy projection data via total variation
X Jia, Y Lou, R Li, WY Song, SB Jiang
Medical physics 37 (4), 1757-1760, 2010
3D radiotherapy dose prediction on head and neck cancer patients with a hierarchically densely connected U-net deep learning architecture
D Nguyen, X Jia, D Sher, MH Lin, Z Iqbal, H Liu, S Jiang
Physics in medicine & Biology 64 (6), 065020, 2019
GPU-based iterative cone-beam CT reconstruction using tight frame regularization
X Jia, B Dong, Y Lou, SB Jiang
Physics in Medicine & Biology 56 (13), 3787, 2011
GPU-based fast Monte Carlo dose calculation for proton therapy
X Jia, J Schümann, H Paganetti, SB Jiang
Physics in Medicine & Biology 57 (23), 7783, 2012
Development of metaverse for intelligent healthcare
G Wang, A Badal, X Jia, JS Maltz, K Mueller, KJ Myers, C Niu, M Vannier, ...
Nature Machine Intelligence 4 (11), 922-929, 2022
GPU-based fast Monte Carlo simulation for radiotherapy dose calculation
X Jia, X Gu, YJ Graves, M Folkerts, SB Jiang
Physics in Medicine & Biology 56 (22), 7017, 2011
Development of a GPU-based Monte Carlo dose calculation code for coupled electron–photon transport
X Jia, X Gu, J Sempau, D Choi, A Majumdar, SB Jiang
Physics in medicine and biology 55, 3077, 2010
GPU-based high-performance computing for radiation therapy
X Jia, P Ziegenhein, SB Jiang
Physics in Medicine & Biology 59 (4), R151, 2014
Cine cone beam CT reconstruction using low-rank matrix factorization: algorithm and a proof-of-principle study
JF Cai, X Jia, H Gao, SB Jiang, Z Shen, H Zhao
IEEE transactions on medical imaging 33 (8), 1581-1591, 2014
Real‐time volumetric image reconstruction and 3D tumor localization based on a single x‐ray projection image for lung cancer radiotherapy
R Li, X Jia, JH Lewis, X Gu, M Folkerts, C Men, SB Jiang
Medical physics 37 (6Part1), 2822-2826, 2010
A DVH‐guided IMRT optimization algorithm for automatic treatment planning and adaptive radiotherapy replanning
M Zarepisheh, T Long, N Li, Z Tian, HE Romeijn, X Jia, SB Jiang
Medical physics 41 (6Part1), 061711, 2014
A practical cone-beam CT scatter correction method with optimized Monte Carlo simulations for image-guided radiation therapy
Y Xu, T Bai, H Yan, L Ouyang, A Pompos, J Wang, L Zhou, SB Jiang, X Jia
Physics in Medicine & Biology 60 (9), 3567, 2015
A GPU tool for efficient, accurate, and realistic simulation of cone beam CT projections
X Jia, H Yan, L Cerviņo, M Folkerts, SB Jiang
Medical physics 39 (12), 7368-7378, 2012
On a PCA-based lung motion model
R Li, JH Lewis, X Jia, T Zhao, W Liu, S Wuenschel, J Lamb, D Yang, ...
Physics in Medicine & Biology 56 (18), 6009, 2011
An introduction to deep learning in medical physics: advantages, potential, and challenges
C Shen, D Nguyen, Z Zhou, SB Jiang, B Dong, X Jia
Physics in Medicine & Biology 65 (5), 05TR01, 2020
GPU-based ultra-fast direct aperture optimization for online adaptive radiation therapy
C Men, X Jia, SB Jiang
Physics in Medicine & Biology 55 (15), 4309, 2010
Intelligent inverse treatment planning via deep reinforcement learning, a proof-of-principle study in high dose-rate brachytherapy for cervical cancer
C Shen, Y Gonzalez, P Klages, N Qin, H Jung, L Chen, D Nguyen, ...
Physics in Medicine & Biology 64 (11), 115013, 2019
A comprehensive study on the relationship between the image quality and imaging dose in low-dose cone beam CT
H Yan, L Cervino, X Jia, SB Jiang
Physics in Medicine & Biology 57 (7), 2063, 2012
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