| Generating synthesized computed tomography (CT) from cone-beam computed tomography (CBCT) using CycleGAN for adaptive radiation therapy X Liang, L Chen, D Nguyen, Z Zhou, X Gu, M Yang, J Wang, S Jiang Physics in Medicine & Biology 64 (12), 125002, 2019 | 225 | 2019 |
| Synthetic CT generation from CBCT images via deep learning L Chen, X Liang, C Shen, S Jiang, J Wang Medical physics 47 (3), 1115-1125, 2020 | 136 | 2020 |
| Synthetic CT generation from CBCT images via unsupervised deep learning L Chen, X Liang, C Shen, D Nguyen, S Jiang, J Wang Physics in Medicine & Biology 66 (11), 115019, 2021 | 32 | 2021 |
| Generalizability issues with deep learning models in medicine and their potential solutions: illustrated with cone-beam computed tomography (CBCT) to computed tomography (CT … X Liang, D Nguyen, SB Jiang Machine Learning: Science and Technology 2 (1), 015007, 2020 | 32 | 2020 |
| Cone-beam computed tomography (cbct) segmentation by adversarial learning domain adaptation X Jia, S Wang, X Liang, A Balagopal, D Nguyen, M Yang, Z Wang, JX Ji, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 17 | 2019 |
| Zero-shot medical image translation via frequency-guided diffusion models Y Li, HC Shao, X Liang, L Chen, R Li, S Jiang, J Wang, Y Zhang IEEE transactions on medical imaging, 2023 | 15 | 2023 |
| Deep learning based CT-to-CBCT deformable image registration for autosegmentation in head and neck adaptive radiation therapy X Liang, H Morgan, D Nguyen, S Jiang Journal of Artificial Intelligence for Medical Sciences 2 (1-2), 62-75, 2021 | 12 | 2021 |
| Exploratory ensemble interpretable model for predicting local failure in head and neck cancer: The additive benefit of CT and intra-treatment cone-beam computed tomography features HE Morgan, K Wang, M Dohopolski, X Liang, MR Folkert, DJ Sher, ... Quantitative Imaging in Medicine and Surgery 11 (12), 4781, 2021 | 11 | 2021 |
| A probability‐based multi‐cycle sorting method for 4D‐MRI: A simulation study X Liang, FF Yin, Y Liu, J Cai Medical physics 43 (12), 6375-6385, 2016 | 9 | 2016 |
| Segmentation by test‐time optimization for CBCT‐based adaptive radiation therapy X Liang, J Chun, H Morgan, T Bai, D Nguyen, J Park, S Jiang Medical physics 50 (4), 1947-1961, 2023 | 6 | 2023 |
| Slice-stacking T2-weighted MRI for fast determination of internal target volume for liver tumor S Han, X Liang, T Li, FF Yin, J Cai Quantitative Imaging in Medicine and Surgery 11 (1), 32, 2021 | 5 | 2021 |
| Evaluation of the effect of transcytolemmal water exchange analysis for therapeutic response assessment using DCE-MRI: A comparison study C Wang, E Subashi, X Liang, FF Yin, Z Chang Physics in Medicine & Biology 61 (13), 4763, 2016 | 5 | 2016 |
| Ensemble learning and personalized training for the improvement of unsupervised deep learning‐based synthetic CT reconstruction S Olberg, BS Choi, I Park, X Liang, JS Kim, J Deng, Y Yan, S Jiang, ... Medical physics 50 (3), 1436-1449, 2023 | 4 | 2023 |
| ORRN: An ODE-based Recursive Registration Network for Deformable Respiratory Motion Estimation With Lung 4DCT Images X Liang, S Lin, F Liu, D Schreiber, M Yip IEEE Transactions on Biomedical Engineering, 2023 | 3 | 2023 |
| Deep learning based direct segmentation assisted by deformable image registration for cone-beam CT based auto-segmentation for adaptive radiotherapy X Liang, H Morgan, T Bai, M Dohopolski, D Nguyen, S Jiang Physics in Medicine & Biology 68 (4), 045012, 2023 | 3 | 2023 |
| Motion robust 4D-MRI sorting based on anatomic feature matching: A digital phantom simulation study Z Yang, L Ren, FF Yin, X Liang, J Cai Radiation medicine and protection 1 (01), 41-47, 2020 | 3 | 2020 |
| A robust deformable image registration enhancement method based on radial basis function X Liang, FF Yin, C Wang, J Cai Quantitative imaging in medicine and surgery 9 (7), 1315, 2019 | 3 | 2019 |
| Target-Matching Accuracy in Stereotactic Body Radiation Therapy of Lung Cancer: An Investigation Based on Four-Dimensional Digital Human Phantom J Cai, K Turner, X Liang, W Segars, C Kelsey, D Yoo, L Ren, FF Yin Cancer Translational Medicine 2 (3), 2016 | 3 | 2016 |
| Explainable Boosting Machine Model with a Parallel Ensemble Design Predicts Local Failure for Head and Neck Cancer With Clinical, CT, and Delta CBCT Radiomic Features HE Morgan, K Wang, M Dohopolski, X Liang, MR Folkert, DJ Sher, ... International journal of radiation oncology, biology, physics 111 (3), e115-e116, 2021 | 2 | 2021 |
| Motion estimation of the liver based on deformable image registration: a comparison between four-dimensional-computed tomography and four-dimensional-magnetic resonance imaging X Liang, FF Yin, Y Liu, B Czito, M Palta, M Bashir, J Cai Cancer Translational Medicine 3 (5), 2017 | 2 | 2017 |
