Unsupervised Domain Adaptation for Retinal Vessel Segmentation with Adversarial Learning and Transfer Normalization. - Wei Feng 015; Lie Ju; Lin Wang 027; Kaimin Song; Xin Wang 094; Xin Zhao; Qingyi Tao; Zongyuan Ge (CoRR, 2021)

Unsupervised Domain Adaptive Fundus Image Segmentation with Category-Level Regularization. - Wei Feng 015; Lin Wang 027; Lie Ju; Xin Zhao; Xin Wang 094; Xiaoyu Shi; Zongyuan Ge (MICCAI (2), 2022)

3D matting: A benchmark study on soft segmentation method for pulmonary nodules applied in computed tomography. - Lin Wang 027; Xiufen Ye; Donghao Zhang; Wanji He; Lie Ju; Yi Luo; Huan Luo; Xin Wang 094; Wei Feng 015; Kaimin Song; Xin Zhao; Zongyuan Ge (Comput. Biol. Medicine, 2022)

3D Matting: A Soft Segmentation Method Applied in Computed Tomography. - Lin Wang 027; Xiufen Ye; Donghao Zhang; Wanji He; Lie Ju; Xin Wang 094; Wei Feng 015; Kaimin Song; Xin Zhao; Zongyuan Ge (CoRR, 2022)

Unsupervised Domain Adaptation for Medical Image Segmentation by Selective Entropy Constraints and Adaptive Semantic Alignment. - Wei Feng 015; Lie Ju; Lin Wang 027; Kaimin Song; Xin Zhao; Zongyuan Ge (AAAI, 2023)

Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering. - Wei Feng 015; Lie Ju; Lin Wang 027; Kaimin Song; Zongyuan Ge (MICCAI (6), 2023)

NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding. - Ming Hu; Lin Wang 027; Siyuan Yan; Don Ma; Qingli Ren; Peng Xia 005; Wei Feng 015; Peibo Duan; Lie Ju; Zongyuan Ge (NeurIPS, 2023)

Towards Open-Scenario Semi-supervised Medical Image Classification. - Lie Ju; Yicheng Wu 001; Wei Feng 015; Zhen Yu; Lin Wang 027; Zhuoting Zhu; Zongyuan Ge (CoRR, 2023)

Medical matting: Medical image segmentation with uncertainty from the matting perspective. - Lin Wang 027; Xiufen Ye; Lie Ju; Wanji He; Donghao Zhang; Xin Wang 094; Yelin Huang; Wei Feng 015; Kaimin Song; Zongyuan Ge (Comput. Biol. Medicine, 2023)

Automated segmentation of choroidal neovascularization on optical coherence tomography angiography images of neovascular age-related macular degeneration patients based on deep learning. - Wei Feng 015; Meihan Duan; Bingjie Wang; Yu Du; Yiran Zhao; Bin Wang 041; Lin Zhao; Zongyuan Ge; Yuntao Hu (J. Big Data, 2023)

Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation. - Feilong Tang; Zhongxing Xu; Zhaojun Qu; Wei Feng 015; Xingjian Jiang; Zongyuan Ge (CVPR, 2024)

Universal Semi-supervised Learning for Medical Image Classification. - Lie Ju; Yicheng Wu 001; Wei Feng 015; Zhen Yu; Lin Wang 027; Zhuoting Zhu; Zongyuan Ge (MICCAI (12), 2024)

Development and evaluation of a deep learning model for automatic segmentation of non-perfusion area in fundus fluorescein angiography. - Wei Feng 015; Bingjie Wang; Dan Song; Mengda Li; Anming Chen; Jing Wang; Siyong Lin; Yiran Zhao; Bin Wang 041; Zongyuan Ge; Shuyi Xu; Yuntao Hu (J. Big Data, 2024)

Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models. - Yiwen Jiang; Deval Mehta; Wei Feng 015; Zongyuan Ge (ACL (1), 2025)

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding. - Feilong Tang; Chengzhi Liu; Zhongxing Xu; Ming Hu; Zile Huang; Haochen Xue; Ziyang Chen 003; Zelin Peng; Zhiwei Yang; Sijin Zhou; Wenxue Li; Yulong Li; et al. (CVPR, 2025)

Neighbor-Guided Unbiased Framework for Generalized Category Discovery in Medical Image Classification. - Wei Feng 015; Sijin Zhou; Yiwen Jiang; Feilong Tang; Zongyuan Ge (IEEE J. Biomed. Health Informatics, 2025)