| 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 |
| 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 | 103 | 2019 |
| Intelligent parameter tuning in optimization-based iterative CT reconstruction via deep reinforcement learning C Shen, Y Gonzalez, L Chen, SB Jiang, X Jia IEEE transactions on medical imaging 37 (6), 1430-1439, 2018 | 98 | 2018 |
| Combining many-objective radiomics and 3D convolutional neural network through evidential reasoning to predict lymph node metastasis in head and neck cancer L Chen, Z Zhou, D Sher, Q Zhang, J Shah, NL Pham, S Jiang, J Wang Physics in Medicine & Biology 64 (7), 075011, 2019 | 91 | 2019 |
| Operating a treatment planning system using a deep‐reinforcement learning‐based virtual treatment planner for prostate cancer intensity‐modulated radiation therapy treatment … C Shen, D Nguyen, L Chen, Y Gonzalez, R McBeth, N Qin, SB Jiang, ... Medical physics 47 (6), 2329-2336, 2020 | 74 | 2020 |
| Predicting lung nodule malignancies by combining deep convolutional neural network and handcrafted features S Li, P Xu, B Li, L Chen, Z Zhou, H Hao, Y Duan, M Folkert, J Ma, S Huang, ... Physics in Medicine & Biology 64 (17), 175012, 2019 | 71 | 2019 |
| A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification Y Ren, MY Tsai, L Chen, J Wang, S Li, Y Liu, X Jia, C Shen International Journal of Computer Assisted Radiology and Surgery 15, 287-295, 2020 | 53 | 2020 |
| Automatic PET cervical tumor segmentation by combining deep learning and anatomic prior L Chen, C Shen, Z Zhou, G Maquilan, K Albuquerque, MR Folkert, J Wang Physics in Medicine & Biology 64 (8), 085019, 2019 | 40 | 2019 |
| Predicting lymph node metastasis in head and neck cancer by combining many-objective radiomics and 3-dimensioal convolutional neural network through evidential reasoning Z Zhou, L Chen, D Sher, Q Zhang, J Shah, NL Pham, S Jiang, J Wang 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 40 | 2018 |
| A convex variational model for restoring blurred images with large Rician noise L Chen, T Zeng Journal of Mathematical Imaging and Vision 53, 92-111, 2015 | 37 | 2015 |
| 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 |
| Deriving ventilation imaging from 4 DCT by deep convolutional neural network Y Zhong, Y Vinogradskiy, L Chen, N Myziuk, R Castillo, E Castillo, ... Medical physics 46 (5), 2323-2329, 2019 | 32 | 2019 |
| A multi‐objective radiomics model for the prediction of locoregional recurrence in head and neck squamous cell cancer K Wang, Z Zhou, R Wang, L Chen, Q Zhang, D Sher, J Wang Medical physics 47 (10), 5392-5400, 2020 | 22 | 2020 |
| A hierarchical deep reinforcement learning framework for intelligent automatic treatment planning of prostate cancer intensity modulated radiation therapy C Shen, L Chen, X Jia Physics in Medicine & Biology 66 (13), 134002, 2021 | 21 | 2021 |
| Improving efficiency of training a virtual treatment planner network via knowledge‐guided deep reinforcement learning for intelligent automatic treatment planning of radiotherapy C Shen, L Chen, Y Gonzalez, X Jia Medical physics 48 (4), 1909-1920, 2021 | 21 | 2021 |
| U‐net‐based deformation vector field estimation for motion‐compensated 4D‐CBCT reconstruction X Huang, Y Zhang, L Chen, J Wang Medical physics 47 (7), 3000-3012, 2020 | 21 | 2020 |
| Multi-objective ensemble deep learning using electronic health records to predict outcomes after lung cancer radiotherapy R Wang, Y Weng, Z Zhou, L Chen, H Hao, J Wang Physics in Medicine & Biology 64 (24), 245005, 2019 | 19 | 2019 |
| Material elemental decomposition in dual and multi‐energy CT via a sparsity‐dictionary approach for proton stopping power ratio calculation C Shen, B Li, L Chen, M Yang, Y Lou, X Jia Medical physics 45 (4), 1491-1503, 2018 | 19 | 2018 |
| On the robustness of deep learning-based lung-nodule classification for CT images with respect to image noise C Shen, MY Tsai, L Chen, S Li, D Nguyen, J Wang, SB Jiang, X Jia Physics in Medicine & Biology 65 (24), 245037, 2020 | 18 | 2020 |
Jing WangProfessor, Department of Radiation Oncology, University of Texas Southwestern Medical CenterVerified email at utsouthwestern.edu
