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

Selected Publications

• Zihan Li, Taojun Zhang, … & Paul E. Kinahan, Zhenhui Li, Guoxin Li, Yuming Jiang. Multimodal Multitask Deep Learning for Predicting Tertiary Lymphoid Structures and Peritoneal Recurrence in Gastric Cancer: A Multicenter Study. The Lancet Digital Health (2026). In Press Multimodal Foundation Model (5-Year IF: 29.8)
• Zihan Li, Diping Song, Zefeng Yang, Deming Wang, Fei Li, Xiulan Zhang, Paul E. Kinahan, Yu Qiao. VisionUnite: A Vision-Language Foundation Model for Ophthalmology Enhanced with Clinical Knowledge. IEEE Transactions on Pattern Analysis and Machine Intelligence (2025). Paper Multimodal Large Language Model (5-Year IF: 22.6)
• 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). Paper Weakly Supervised Leaning (5-Year IF: 12.3, ESI Highly Cited Paper)
• 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). Paper Vision-Language Model (5-Year IF: 12.3, ESI Highly Cited Paper)
• Zihan Li, Yiqing Wang, Sina Farsiu, Paul Kinahan. Boosting Medical Visual Understanding From Multi-Granular Language Learning. ICLR 2026. Paper Multimodal Foundation Model

2026

• [J1] Zihan Li, Taojun Zhang, … & Paul E. Kinahan, Zhenhui Li, Guoxin Li, Yuming Jiang. Multimodal Multitask Deep Learning for Predicting Tertiary Lymphoid Structures and Peritoneal Recurrence in Gastric Cancer: A Multicenter Study. The Lancet Digital Health (2026). In Press Multimodal Foundation Model
• [C1] Zihan Li, Yiqing Wang, Sina Farsiu, Paul Kinahan. Boosting Medical Visual Understanding From Multi-Granular Language Learning. ICLR 2026. Paper Multimodal Foundation Model
• [C2] Zihan Li, Feiyang Liu, Dandan Shan, Ruibo Wang, Qingqi Hong. OPERA: Offline Policy-guided Expert Routing and Adaptation for Universal Biomedical Image Analysis. ACM MM 2026. Code Autonomous Agentic AI
• [C3] Zihan Li, Yiqing Wang, Sina Farsiu, Paul Kinahan. Large‑scale data harmonization of radiology studies via multigranular vision‑language alignment. SPIE MI 2026. Oral, Best Paper Runner-up Data Harmonization
• [C4] Yuhan Wang*, Zihan Li*, Han Liu, Simon Arberet, Martin Kraus, Yuyin Zhou, Florin-Cristian Ghesu, Dorin Comaniciu, Ali Kamen, Riqiang Gao. Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study. CVPR 2026. Paper Diffusion Foundation Model
• [C5] Xuan Wei*, Zihan Li*, Mengwei Wu, Ziheng Zhang, Zeyang Wang, Kaiheng Li, Qingqi Hong. SynMamba: Synergizing Visual Mamba with Synthesized Clinical Semantics for Boundary-Aware Segmentation. MICCAI 2026. [Early Accept] Vision-Language Model

2025

• [J1] Zihan Li, Diping Song, Zefeng Yang, Deming Wang, Fei Li, Xiulan Zhang, Paul E. Kinahan, Yu Qiao. VisionUnite: A Vision-Language Foundation Model for Ophthalmology Enhanced with Clinical Knowledge. IEEE Transactions on Pattern Analysis and Machine Intelligence (2025). Paper Multimodal Large Language Model
• [J2] Zihan Li, Dandan Shan, Yunxaing Li, Paul E. Kinahan, Qingqi Hong. Scale-aware adaptive supervised network with limited medical annotations. Pattern Recognition (2025). Paper Medical Image Analysis
• [J3] Dandan Shan*, Zihan Li*, Yunxiang Li, Qingde Li, Jie Tian, Qingqi Hong. STPNet: Scale-aware Text Prompt Network for Medical Image Segmentation. IEEE Transactions on Image Processing (2025). Paper Vision-Language Model
• [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 Medical Image Analysis

2024

• [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. Paper Weakly Supervised Leaning
• [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 Medical Image Analysis

2023

• [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. Paper Vision-Language Model
• [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 Large Language Model
• [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 Weakly Supervised Learning
• [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 Vision-Language Model
• [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 Self-supervised Learning
• [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 Medical Image Analysis

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 Medical Image Analysis

Patent

• [P1] Qingqi Hong, Junfeng Yao, Dihan Li, Zihan Li. Medical image segmentation method and system based on semi-supervision and Transformers. 2022. CN Patent, CN114882047B.