Clip-driven universal model for organ segmentation and tumor detection J Liu, Y Zhang, JN Chen, J Xiao, Y Lu, BA Landman, Y Yuan, A Yuille, ... International Conference on Computer Vision (ICCV), 2023 | 149 | 2023 |
Abdomenatlas-8k: Annotating 8,000 CT volumes for multi-organ segmentation in three weeks C Qu, T Zhang, H Qiao, J Liu, Y Tang, AL Yuille, Z Zhou Advances in Neural Information Processing Systems 36, 2024 | 40* | 2024 |
Adjustment and alignment for unbiased open set domain adaptation W Li, J Liu, B Han, Y Yuan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 36 | 2023 |
Simt: Handling open-set noise for domain adaptive semantic segmentation X Guo, J Liu, T Liu, Y Yuan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 30 | 2022 |
Graph-based surgical instrument adaptive segmentation via domain-common knowledge J Liu, X Guo, Y Yuan IEEE Transactions on Medical Imaging 41 (3), 715-726, 2021 | 26 | 2021 |
Instance importance-aware graph convolutional network for 3D medical diagnosis Z Chen, J Liu, M Zhu, PYM Woo, Y Yuan Medical Image Analysis 78, 102421, 2022 | 21 | 2022 |
Joint polyp detection and segmentation with heterogeneous endoscopic data LI Wuyang, Y Chen, LIU Jie, LIU Xinyu, GUO Xiaoqing, Y Yixuan 3rd International Workshop and Challenge on Computer Vision in Endoscopy …, 2021 | 21 | 2021 |
GRAB-Net: Graph-based boundary-aware network for medical point cloud segmentation Y Liu, W Li, J Liu, H Chen, Y Yuan IEEE Transactions on Medical Imaging 42 (9), 2776-2786, 2023 | 19 | 2023 |
Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape J Xu, Y Zhang, J Peng, W Ma, A Jesslen, P Ji, Q Hu, J Zhang, Q Liu, ... International Conference on Computer Vision (ICCV), 2023 | 16 | 2023 |
Edge-oriented point-cloud transformer for 3D intracranial aneurysm segmentation Y Liu, J Liu, Y Yuan International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 14 | 2022 |
Prototypical interaction graph for unsupervised domain adaptation in surgical instrument segmentation J Liu, X Guo, Y Yuan International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 13 | 2021 |
Semantic-oriented labeled-to-unlabeled distribution translation for image segmentation X Guo, J Liu, Y Yuan IEEE transactions on medical imaging 41 (2), 434-445, 2021 | 13 | 2021 |
COINet: Adaptive Segmentation with Co-Interactive Network for Autonomous Driving J Liu, X Guo, B Li, Y Yuan 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 8 | 2021 |
Universal and extensible language-vision models for organ segmentation and tumor detection from abdominal computed tomography J Liu, Y Zhang, K Wang, MC Yavuz, X Chen, Y Yuan, H Li, Y Yang, ... Medical Image Analysis, 103226, 2024 | 7 | 2024 |
Unknown-oriented learning for open set domain adaptation J Liu, X Guo, Y Yuan European Conference on Computer Vision, 334-350, 2022 | 7 | 2022 |
Bi-VLGM: Bi-Level Class-Severity-Aware Vision-Language Graph Matching for Text Guided Medical Image Segmentation W Chen, J Liu, T Liu, Y Yuan International Journal of Computer Vision, 1-17, 2024 | 5* | 2024 |
Unsupervised Domain Adaptation for Low-Dose CT Reconstruction via Bayesian Uncertainty Alignment K Chen, J Liu, R Wan, VHF Lee, V Vardhanabhuti, H Yan, H Li IEEE Transactions on Neural Networks and Learning Systems, 2024 | 3* | 2024 |
Handling Open-Set Noise and Novel Target Recognition in Domain Adaptive Semantic Segmentation X Guo, J Liu, T Liu, Y Yuan IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (8), 9846-9861, 2023 | 3 | 2023 |
Efficient 3d representation learning for medical image analysis Y Tang, J Liu, Z Zhou, X Yu, Y Huo Deep Learning For 3d Vision: Algorithms And Applications, 399-437, 2024 | 2 | 2024 |
STAR-RL: Spatial-temporal Hierarchical Reinforcement Learning for Interpretable Pathology Image Super-Resolution W Chen*, J Liu*, TWS Chow, Y Yuan IEEE Transactions on Medical Imaging, 2024 | 1 | 2024 |