You can also find my articles on my Google Scholar or Semantic Scholar profile.

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 Oral.
• [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].
• [C5] Shuzhou Yang, Moxuan Ding, Yanmin Wu, Zihan Li, Jian Zhang. Implicit Neural Representation for Cooperative Low-light Image Enhancement. IEEE International Conference on Computer Vision (ICCV) 2023. Paper
• [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
• [J3] Qingqi Hong, Lingli Lin, Zihan Li, et al. A distance transformation deep forest framework with hybrid-feature fusion for CXR image classification. IEEE Transactions on Neural Networks and Learning Systems. (2023 IF: 14.255) 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
• [J1] Fei Xu, Lingli Lin, Zihan Li, Qingqi Hong, Kunhong Liu, Qingqiang Wu, Qingde Li, Yinhuan Zheng, Jie Tian. (2022). MRDFF: A Deep Forest Based Framework for CT Whole Heart Segmentation. Methods. Paper