Magnetic resonance image (MRI) synthesis from brain computed tomography (CT) images based on deep learning methods for magnetic resonance (MR)-guided radiotherapy W Li, Y Li, W Qin, X Liang, J Xu, J Xiong, Y Xie Quantitative imaging in medicine and surgery 10 (6), 1223, 2020 | 91 | 2020 |
Comparison of supervised and unsupervised deep learning methods for medical image synthesis between computed tomography and magnetic resonance images Y Li, W Li, J Xiong, J Xia, Y Xie BioMed Research International 2020, 2020 | 46 | 2020 |
Virtual contrast-enhanced magnetic resonance images synthesis for patients with nasopharyngeal carcinoma using multimodality-guided synergistic neural network W Li, H Xiao, T Li, G Ren, S Lam, X Teng, C Liu, J Zhang, FK Lee, K Au, ... International Journal of Radiation Oncology* Biology* Physics 112 (4), 1033-1044, 2022 | 33 | 2022 |
Artificial intelligence in multi-parametric magnetic resonance imaging: A review C Li, W Li, C Liu, H Zheng, J Cai, S Wang Medical Physics 49 (10), 1024-1054, 2022 | 22 | 2022 |
Synthesizing CT images from MR images with deep learning: model generalization for different datasets through transfer learning W Li, S Kazemifar, T Bai, D Nguyen, Y Weng, Y Li, J Xia, J Xiong, Y Xie, ... Biomedical Physics & Engineering Express 7 (2), 025020, 2021 | 21 | 2021 |
Building reliable radiomic models using image perturbation X Teng, J Zhang, A Zwanenburg, J Sun, Y Huang, S Lam, Y Zhang, B Li, ... Scientific Reports 12 (1), 10035, 2022 | 19 | 2022 |
A dual‐supervised deformation estimation model (DDEM) for constructing ultra‐quality 4D‐MRI based on a commercial low‐quality 4D‐MRI for liver cancer radiation therapy H Xiao, R Ni, S Zhi, W Li, C Liu, G Ren, X Teng, W Liu, W Wang, Y Zhang, ... Medical physics 49 (5), 3159-3170, 2022 | 17 | 2022 |
Improving Radiomic Model Reliability using Robust Features from Perturbations for Head-and-Neck Carcinoma X Teng, J Zhang, Z Ma, Y Zhang, SK Lam, W Li, H Xiao, T Li, B Li, T Zhou, ... Frontiers in Oncology, 5681, 2022 | 13 | 2022 |
CT synthesis from MRI images based on deep learning methods for MRI-only radiotherapy Y Li, W Li, P He, J Xiong, J Xia, Y Xie 2019 international conference on medical imaging physics and engineering …, 2019 | 12 | 2019 |
Advances in MRI‐guided precision radiotherapy C Liu, M Li, H Xiao, T Li, W Li, J Zhang, X Teng, J Cai Precision Radiation Oncology 6 (1), 75-84, 2022 | 9 | 2022 |
Model generalizability investigation for GFCE-MRI synthesis in NPC radiotherapy using multi-institutional patient-based data normalization W Li, S Lam, Y Wang, C Liu, T Li, J Kleesiek, ALY Cheung, Y Sun, FK Lee, ... IEEE Journal of Biomedical and Health Informatics, 2023 | 5 | 2023 |
Multi-institutional investigation of model generalizability for virtual contrast-enhanced MRI synthesis W Li, S Lam, T Li, ALY Cheung, H Xiao, C Liu, J Zhang, X Teng, S Zhi, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 5 | 2022 |
One view per city for buildings segmentation in remote-sensing images via fully convolutional networks: a proof-of-concept study J Li, W Li, C Jin, L Yang, H He Sensors 20 (1), 141, 2019 | 5 | 2019 |
Respiratory-correlated 4-dimensional magnetic resonance fingerprinting for liver cancer radiation therapy motion management C Liu, T Li, P Cao, ES Hui, YL Wong, Z Wang, H Xiao, S Zhi, T Zhou, W Li, ... International Journal of Radiation Oncology* Biology* Physics 117 (2), 493-504, 2023 | 3 | 2023 |
Clinical feasibility of MRI-based synthetic CT imaging in the diagnosis of lumbar disc herniation: a comparative study G Cao, Y Li, S Wu, W Li, J Long, Y Xie, J Xia Acta Radiologica 65 (1), 41-48, 2024 | 2 | 2024 |
CBCT-to-CT Synthesis for Cervical Cancer Adaptive Radiotherapy via U-Net-Based Model Hierarchically Trained with Hybrid Dataset X Liu, R Yang, T Xiong, X Yang, W Li, L Song, J Zhu, M Wang, J Cai, ... Cancers 15 (22), 5479, 2023 | 1 | 2023 |
Coarse–Super-Resolution–Fine Network (CoSF-Net): A Unified End-to-End Neural Network for 4D-MRI with Simultaneous Motion Estimation and Super-Resolution S Zhi, Y Wang, H Xiao, T Bai, B Li, Y Tang, C Liu, W Li, T Li, H Ge, J Cai IEEE Transactions on Medical Imaging, 2023 | 1 | 2023 |
Pixelwise Gradient Model with GAN for Virtual Contrast Enhancement in MRI Imaging KH Cheng, W Li, FKH Lee, T Li, J Cai Cancers 16 (5), 999, 2024 | | 2024 |
CT-Based DVF/Ventilation/Perfusion Imaging G Ren, YH Huang, J Zhu, W Li, J Cai Medical Image Synthesis: Methods and Clinical Applications, 71, 2024 | | 2024 |
CT-Based DVF/Ventilation/Perfusion Imaging G Ren, YH Huang, J Zhu, W Li, J Cai Medical Image Synthesis, 71-88, 2024 | | 2024 |