Enhanced soft label for semi-supervised semantic segmentation J Ma, C Wang, Y Liu, L Lin, G Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 32 | 2023 |
Artificial intelligence assisting the early detection of active pulmonary tuberculosis from chest X-rays: A population-based study M Nijiati, J Ma, C Hu, A Tuersun, A Abulizi, A Kelimu, D Zhang, G Li, X Zou Frontiers in Molecular Biosciences 9, 874475, 2022 | 26 | 2022 |
Sam2-unet: Segment anything 2 makes strong encoder for natural and medical image segmentation X Xiong, Z Wu, S Tan, W Li, F Tang, Y Chen, S Li, J Ma, G Li arXiv preprint arXiv:2408.08870, 2024 | 14 | 2024 |
Alignsam: Aligning segment anything model to open context via reinforcement learning D Huang, X Xiong, J Ma, J Li, Z Jie, L Ma, G Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 14 | 2024 |
Free Meal: Boosting Semi-Supervised Polyp Segmentation by Harvesting Negative Samples X Xiong, W Li, J Ma, D Huang, S Li IEEE Signal Processing Letters, 2024 | 1 | 2024 |
Source-free semi-supervised domain adaptation for tuberculosis recognition J Ma, Z Xu, X Xiong, M NiJiaTi, D Zhang, W Sun, F Gao, G Li 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024 | 1 | 2024 |
Multi-task learning with hierarchical guidance for locating and stratifying submucosal tumors R Zhang, F Zhang, S Qin, D Fan, C Fang, J Ma, X Wan, G Li, X Lin IEEE Journal of Biomedical and Health Informatics 27 (9), 4478-4488, 2023 | 1 | 2023 |