| Clinically applicable deep learning framework for organs at risk delineation in CT images H Tang, X Chen, Y Liu, Z Lu, J You, M Yang, S Yao, G Zhao, Y Xu, T Chen, ... Nature Machine Intelligence 1 (10), 480-491, 2019 | 143 | 2019 |
| AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation X Yan, H Tang, S Sun, H Ma, D Kong, X Xie Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2021 | 117 | 2021 |
| Nodulenet: Decoupled false positive reduction for pulmonary nodule detection and segmentation H Tang, C Zhang, X Xie Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 111 | 2019 |
| A deep learning-based auto-segmentation system for organs-at-risk on whole-body computed tomography images for radiation therapy X Chen, S Sun, N Bai, K Han, Q Liu, S Yao, H Tang, C Zhang, Z Lu, ... Radiotherapy and Oncology 160, 175-184, 2021 | 107 | 2021 |
| Automated pulmonary nodule detection using 3D deep convolutional neural networks H Tang, DR Kim, X Xie 2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018 …, 2018 | 98 | 2018 |
| Recurrent Mask Refinement for Few-Shot Medical Image Segmentation H Tang, X Liu, S Sun, X Yan, X Xie 2021 International Conference of Computer Vision (ICCV), 2021 | 94 | 2021 |
| Automatic pulmonary lobe segmentation using deep learning H Tang, C Zhang, X Xie 2019 IEEE 16th international symposium on biomedical imaging (ISBI 2019 …, 2019 | 59 | 2019 |
| TransFusion: Cross-view Fusion with Transformer for 3D Human Pose Estimation H Ma, L Chen, D Kong, Z Wang, X Liu, H Tang, X Yan, Y Xie, SY Lin, ... The 32nd British Machine Vision Conference, 2021 | 53 | 2021 |
| An end-to-end framework for integrated pulmonary nodule detection and false positive reduction H Tang, X Liu, X Xie 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 36 | 2019 |
| Ppt: token-pruned pose transformer for monocular and multi-view human pose estimation H Ma, Z Wang, Y Chen, D Kong, L Chen, X Liu, X Yan, H Tang, X Xie European Conference on Computer Vision, 424-442, 2022 | 32 | 2022 |
| Spatial context-aware self-attention model for multi-organ segmentation H Tang, X Liu, K Han, X Xie, X Chen, H Qian, Y Liu, S Sun, N Bai Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 29 | 2021 |
| Topology-Preserving Shape Reconstruction and Registration via Neural Diffeomorphic Flow S Sun, K Han, D Kong, H Tang, X Yan, X Xie Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2022 | 27 | 2022 |
| Diffeomorphic image registration with neural velocity field K Han, S Sun, X Yan, C You, H Tang, J Naushad, H Ma, D Kong, X Xie Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 16 | 2023 |
| Attentionanatomy: A unified framework for whole-body organs at risk segmentation using multiple partially annotated datasets S Sun, Y Liu, N Bai, H Tang, X Chen, Q Huang, Y Liu, X Xie 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1-5, 2020 | 11 | 2020 |
| EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset H Tang, K Liang, K Grauman, M Feiszli, W Wang Neurips 2023, 2023 | 6 | 2023 |
| Representation recovering for self-supervised pre-training on medical images X Yan, J Naushad, S Sun, K Han, H Tang, D Kong, H Ma, C You, X Xie Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 6 | 2023 |
| Sparse logits suffice to fail knowledge distillation H Ma, Y Huang, H Tang, C You, D Kong, X Xie ICLR 2022 Workshop on PAIR {\textasciicircum} 2Struct: Privacy …, 2022 | 3 | 2022 |
| Organs at risk auto-contouring system and methods H Tang, Y Liu, S Sun, N Bai US Patent 11,222,425, 2022 | 2 | 2022 |
| Stingy teacher: Sparse logits suffice to fail knowledge distillation H Ma, Y Huang, T Chen, H Tang, C You, Z Wang, X Xie | 1 | 2021 |
| Object Reprojection Error (ORE): Camera pose benchmarks from lightweight tracking annotations X Chen, W Wang, H Tang, M Feiszli Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
Xiaohui XieProfessor of Computer Science, University of California, IrvineZweryfikowany adres z uci.edu
