| Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images Y Zhou, H Chen, Y Li, Q Liu, X Xu, S Wang, PT Yap, D Shen Medical Image Analysis 70, 101918, 2021 | 218 | 2021 |
| Efficient Multiple Organ Localization in CT Image using 3D Region Proposal Network X Xu, F Zhou, B Liu, D Fu, X Bai IEEE Transactions on Medical Imaging 38 (8), 1885-1898, 2019 | 120 | 2019 |
| Cross-modal attention for MRI and ultrasound volume registration X Song, H Guo, X Xu, H Chao, S Xu, B Turkbey, BJ Wood, G Wang, P Yan Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 54 | 2021 |
| Automatic bladder segmentation from CT images using deep CNN and 3D fully connected CRF-RNN X Xu, F Zhou, B Liu International Journal of Computer Assisted Radiology and Surgery 13 (7), 967-975, 2018 | 45 | 2018 |
| Shadow-consistent semi-supervised learning for prostate ultrasound segmentation X Xu, T Sanford, B Turkbey, S Xu, BJ Wood, P Yan IEEE Transactions on Medical Imaging 41 (6), 1331-1345, 2021 | 36 | 2021 |
| Cross-modal attention for multi-modal image registration X Song, H Chao, X Xu, H Guo, S Xu, B Turkbey, BJ Wood, T Sanford, ... Medical Image Analysis 82, 102612, 2022 | 25 | 2022 |
| OpenKBP-Opt: an international and reproducible evaluation of 76 knowledge-based planning pipelines A Babier, R Mahmood, B Zhang, VGL Alves, AM Barragán-Montero, ... Physics in Medicine & Biology 67 (18), 185012, 2022 | 18 | 2022 |
| Asymmetric multi-task attention network for prostate bed segmentation in computed tomography images X Xu, C Lian, S Wang, T Zhu, RC Chen, AZ Wang, TJ Royce, PT Yap, ... Medical image analysis 72, 102116, 2021 | 18 | 2021 |
| Task-oriented low-dose CT image denoising J Zhang, H Chao, X Xu, C Niu, G Wang, P Yan Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 17 | 2021 |
| Asymmetrical multi-task attention U-Net for the segmentation of prostate bed in CT image X Xu, C Lian, S Wang, A Wang, T Royce, R Chen, J Lian, D Shen Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 17 | 2020 |
| Polar transform network for prostate ultrasound segmentation with uncertainty estimation X Xu, T Sanford, B Turkbey, S Xu, BJ Wood, P Yan Medical image analysis 78, 102418, 2022 | 16 | 2022 |
| Multiple organ localization in CT image using triple-branch fully convolutional networks X Xu, F Zhou, B Liu, X Bai Ieee Access 7, 98083-98093, 2019 | 16 | 2019 |
| Deep learning for biomechanical modeling of facial tissue deformation in orthognathic surgical planning N Lampen, D Kim, X Fang, X Xu, T Kuang, HH Deng, JC Barber, J Gateno, ... International journal of computer assisted radiology and surgery 17 (5), 945-952, 2022 | 14 | 2022 |
| End-to-end ultrasound frame to volume registration H Guo, X Xu, S Xu, BJ Wood, P Yan Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 14 | 2021 |
| Hessian-based vessel enhancement combined with directional filter banks and vessel similarity X Xu, B Liu, F Zhou 2013 ICME International Conference on Complex Medical Engineering, 80-84, 2013 | 13 | 2013 |
| A CNN based volumetric imaging method with single X-ray projection R Wei, F Zhou, B Liu, B Liang, B Guo, X Xu 2017 IEEE International Conference on Imaging Systems and Techniques (IST), 1-6, 2017 | 12 | 2017 |
| Federated multi-organ segmentation with partially labeled data X Xu, P Yan arXiv preprint arXiv:2206.07156, 2022 | 11 | 2022 |
| Federated cross learning for medical image segmentation X Xu, HH Deng, T Chen, T Kuang, JC Barber, D Kim, J Gateno, JJ Xia, ... Medical Imaging with Deep Learning, 1441-1452, 2024 | 9 | 2024 |
| Deep learning-based head and neck radiotherapy planning dose prediction via beam-wise dose decomposition B Wang, L Teng, L Mei, Z Cui, X Xu, Q Feng, D Shen International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 8 | 2022 |
| Federated multi-organ segmentation with inconsistent labels X Xu, HH Deng, J Gateno, P Yan IEEE transactions on medical imaging, 2023 | 7 | 2023 |
