| U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation C Li, X Liu, W Li, C Wang, H Liu, Y Yuan arXiv e-prints, arXiv: 2406.02918, 2024 | 50 | 2024 |
| Endora: Video Generation Models as Endoscopy Simulators C Li, H Liu, Y Liu, BY Feng, W Li, X Liu, Z Chen, J Shao, Y Yuan International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 21 | 2024 |
| Lgs: A light-weight 4d gaussian splatting for efficient surgical scene reconstruction H Liu, Y Liu, C Li, W Li, Y Yuan International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 11 | 2024 |
| EndoSparse: Real-Time Sparse View Synthesis of Endoscopic Scenes using Gaussian Splatting C Li, BY Feng, Y Liu, H Liu, C Wang, W Yu, Y Yuan International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 7 | 2024 |
| Gaussianstego: A generalizable stenography pipeline for generative 3d gaussians splatting C Li, H Liu, Z Fan, W Li, Y Liu, P Pan, Y Yuan arXiv preprint arXiv:2407.01301, 2024 | 7 | 2024 |
| P2SAM: Probabilistically Prompted SAMs Are Efficient Segmentator for Ambiguous Medical Images Y Huang, C Li, Z Lin, H Liu, H Xu, Y Liu, Y Huang, X Ding, X Tu, Y Yuan Proceedings of the 32nd ACM International Conference on Multimedia, 9779-9788, 2024 | | 2024 |
Chenxin LiThe Chinese University of Hong Kong在 cuhk.edu.hk 的电子邮件经过验证
