You can also find my articles on my Google Scholar or Semantic Scholar profile.
2025
- [C1] Ziheng Zhang*, Zihan Li*, Dandan Shan, Yuehui Qiu, Qingqi Hong, Qingqiang Wu. An Intra- and Cross-frame Topological Consistency Scheme for Semi-supervised Atherosclerotic Coronary Plaque Segmentation. ICASSP 2025. Paper
2024
- [C1] Xiangde Luo*, Zihan Li*, Shaoting Zhang, Wenjun Liao, Guotai Wang. Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases. MICCAI 2024. Early Accept
- [J1] Zihan Li, Yuan Zheng, Dandan Shan, Shuzhou Yang, Qingde Li, Beizhan Wang, Yuanting Zhang, Qingqi Hong, Dinggang Shen. ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image Segmentation. IEEE Transactions on Medical Imaging. (2024 IF: 10.6) Paper
2023
- [C1] Zihan Li, Yuan Zheng, Xiangde Luo, Dandan Shan, Qingqi Hong. ScribbleVC: Scribble-supervised Medical Image Segmentation with Vision-Class Embedding. Proceedings of the 31st ACM International Conference on Multimedia (ACM MM) 2023. Paper
- [C2] Dandan Shan*, Zihan Li*, Wentao Chen, Qingde Li, Jie Tian, Qingqi Hong. Coarse-to-Fine Covid-19 Segmentation via Vision-Language Alignment. ICASSP 2023. Paper
- [C3] Yiqing Wang*, Zihan Li*, Jieru Mei*, Zihao Wei*, Li Liu, Chen Wang, Alan Yuille, Shengtian Sang, Cihang Xie, Yuyin Zhou. SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation. MICCAI 2023 ≈.
- [C4] Yuehui Qiu, Zihan Li, Yining Wang, Pei Dong, Dijia Wu, Qingqi Hong, Dinggang Shen. CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography. MICCAI 2023 Oral, Best Paper Finalist.
- [J1] Zihan Li, Yunxiang Li, Qingde Li, Puyang Wang, Dazhou Guo, Le Lu, Dakai Jin, et al. LViT: language meets vision transformer in medical image segmentation. IEEE Transactions on Medical Imaging. (2023 IF: 11.037) Paper
- [J2] Yunxiang Li, Zihan Li, Kai Zhang, Ruilong Dan, You Zhang. ChatDoctor: A Medical Chat Model Fine-tuned on LLaMA Model using Medical Domain Knowledge. Cureus. Paper
2022
- [C1] Zihan Li, Dihan Li, Cangbai Xu, Weice Wang, Qingqi Hong, Qingde Li, Jie Tian. TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation. International Conference on Artificial Neural Networks. Springer, Cham, 2022. Oral