AI-based Healthcare
AI-based Healthcare
57. CoC: Chain-of-Cancer based on Cross-Modal Autoregressive Traction for Survival Prediction,
Haipeng Zhou, Sicheng Yang, Sihan Yang, Jing Qin, Lei Chen, and Lei Zhu*,
To appear in MICCAI, 2025.
56. Surgical-MambaLLM: Mamba2-enhanced Multimodal Large Language Model for VQLA in Robotic Surgery,
Pengfei Hao, Hongqiu Wang, Shuaibo Li, Zhaohu Xing, Guang Yang, Kaishun Wu, and Lei Zhu*,
To appear in MICCAI, 2025.
55. Toward Medical Deepfake Detection: A Comprehensive Dataset and Novel Method,
Shuaibo Li, Zhaohu Xing, Hongqiu Wang, Pengfei Hao, Xingyu Li, Zekai Liu, and Lei Zhu*,
To appear in MICCAI, 2025.
54. HybridMamba: A Dual-domain Mamba for 3D Medical Image Segmentation,
Weitong Wu, Zhaohu Xing, Jing Gong, Qin Peng, and Lei Zhu*,
To appear in MICCAI, 2025.
53. FSA-Net:Fractal-driven Synergistic Anatomy-aware Network for Segmenting White Line of Toldt in Laparoscopic Images,
Kecheng Wu, Zhaohu Xing, Zerong Cai, Feng Gao, Wenxue Li, and Lei Zhu*,
To appear in MICCAI, 2025.
52. Temporal Model-Based Federated Active Medical Image Classification,
Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Jinheng Xie, Jun Chen, Mohamed Elhoseiny, Ming Hu, Kaishun Wu, and Lei Zhu*,
To appear in MICCAI, 2025.
51. HRVVS: A High-resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors,
Xincheng Yao, Yijun Yang, Kangwei Guo, Ruiqiang Xiao, Haipeng Zhou, Haisu Tao, Jian Yang, and Lei Zhu*,
To appear in MICCAI, 2025.
50. Source-Free Active Domain Adaptation for Efficient Medical Video Polyp Segmentation,
Jialu Li, Hongqiu Wang, Weiming Wang, Jing Qin, Qiong Wang*, and Lei Zhu*,
To appear in MICCAI, 2025.
49. Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization,
Huihui Xu, Huailiang Wang, Hongqiu Wang, Junzhi Ning, Lihao Liu, Ying Chen, Wei Li, Lei Zhu, Jiyao Liu, Xiaomeng Li, and Junjun He
To appear in MICCAI, 2025.
48. Time-Lapse Video-Based Embryo Grading via Complementary Spatial-Temporal Pattern Mining,
Yong Sun, Yipeng Wang, Junyu Shi, Zhiyuan Zhang, Yanmei Xiao, Lei Zhu, Manxi Jiang, Qiang Nie,
To appear in MICCAI, 2025.
47. Towards Realistic Semi-supervised Medical Image Classification
Wenxue Li, Lie Ju, Feilong Tang, Peng Xia, Xinyu Xiong, Ming Hu, Lei Zhu*, and Zongyuan Ge.
AAAI, pp. 4968-4976, 2025.
46. A Diffusion Embedded Network for Robust 3D Medical Image Segmentation
Zhaohu Xing, Liang Wan, Huazhu Fu, Guang Yang, Yijun Yang, Lequan Yu, Baiying Lei, and Lei Zhu*,
To appear in Medical Image Analysis, 2025.
45. DiffMIC-v2: Medical Image Classification via Improved Diffusion Network
Yijun Yang, Huazhu Fu, Angelica I. Aviles-Rivero, Zhaohu Xing, and Lei Zhu*,
IEEE TMI, Vol. 44, No. 5, pp.2244 - 2255, 2025.
44. Vivim: a Video Vision Mamba for Medical Video Segmentation
Yijun Yang, Zhaohu Xing, Lequan Yu, Huazhu Fu, Chunwang Huang, and Lei Zhu*,
To appear in IEEE TCSVT, 2025.
43. Enhancing Visual Reasoning with LLM-Powered Knowledge Graphs for Visual Question Localized-Answering in Robotic Surgery
Pengfei Hao, Hongqiu Wang, Guang Yang , and Lei Zhu*,
To appear in IEEE JBHI, 2025.
42. Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction
Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Ping Li, Rick Siow Mong Goh, Baiying Lei, Weiming Wang, David Dagan Feng, and Lei Zhu*,
To appear in IEEE JBHI, 2025.
41. Revisiting Medical Image Retrieval via Knowledge Consolidation
Yang Nan, Huichi Zhou, Xiaodan Xing, Giorgos Papanastasiou, Lei Zhu, Zhifan Gao, Alejandro F Fangi, Guang Yang
To appear in Medical Image Analysis, 2025.
40. Modality-aware Distillation Network for Microvascular Invasion Prediction of Hepatocellar Carcinoma from MRI Images
Yinghao Zhang, Hong Liu, Lei Zhu*, Huanhuan Chong, Huazhu Fu, Lequan Yu, Ping Li, Jing Qin, David Dagan Feng, and Liansheng Wang*.
To appear in IEEE Transactions on Biomedical Engineering (IEEE TBME), 2025.
39. S2P-Matching: Self-supervised Patch-based Matching Using Transformer for Capsule Endoscopic Images
Feng Lu, Dao Zhou, Haoyang Chen, Shuai Liu, Xianliang Ling, Lei Zhu, Tingting Gong, Bin Sheng, Ping Li, and David Dagan Feng
IEEE Transactions on Biomedical Engineering (IEEE TBME), Vol. 72, No. 2, pp.540 - 551, 2025.
38. SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
Zhaohu Xing, Tian Ye, Yijun Yang, Guang Liu, and Lei Zhu*,
MICCAI, pp. 578-588, 2024. (Early accept) (Spotlight) [Homepage]
37. LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos
Huihui Xu, Yijun Yang, Angelica Aviles-Rivero, Guang Yang, Jing Qin, and Lei Zhu*,
MICCAI, pp. 667-677, 2024. (Early accept)
36. Diff-VPS: Video Polyp Segmentation via a Multi-task Diffusion Network with Adversarial Temporal Reasoning,
Yingling Lu, Yijun Yang, Zhaohu Xing, Qiong Wang, and Lei Zhu*,
MICCAI, pp. 165-175, 2024. (Early accept)
35. Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center Dataset,
Hongqiu Wang, Xiangde Luo, Wu Chen, Qinging Tang, Mei Xin, Qiong Wang, and Lei Zhu*,
MICCAI, pp. 75-85, 2024. (Early accept)
34. Cross-conditioned Diffusion Model for Medical Image to Image Translation,
Zhaohu Xing, Sicheng Yang, Sixiang Chen, Tian Ye, Yijun Yang, Jing Qin, and Lei Zhu*.
MICCAI, pp. 201-211, 2024.
33. A New Perspective to Boost Performance Fairness For Medical Federated Learning,
Yunlu Yan, Lei Zhu*, Yuexiang Li, Xinxing Xu, Rick Goh, Salman Khan, and Chun-Mei Feng.
MICCAI, pp. 13-23, 2024.
32. Video-Instrument Synergistic Network for Referring Video Object Segmentation in Surgical Videos
Hongqiu Wang, Guang Yang, Shichen Zhang, Jing Qin, Yike Guo, Bo Xu, Yueming Jin*, and Lei Zhu*
IEEE Transactions on Medical Imaging (IEEE TMI), Vol. 43, No. 12, pp. 4457-4469, 2024.
31. DSMT-Net: Dual Self-supervised Multi-operator Transformation for Multi-source Endoscopic Ultrasound Diagnosis
Jiajia Li, Pingping Zhang, Teng Wang, Lei Zhu, Ruhan Liu, Xia Yang, Kaixuan Wang, Dinggang Shen, and Bin Sheng
IEEE Transactions on Medical Imaging (IEEE TMI), Vol. 43, No. 1, pp. 64-75, 2024.
30. Hybrid Masked Image Modeling for 3D Medical Image Segmentation
Zhaohu Xing, Lei Zhu*, Lequan Yu, Zhiheng Xing, and Liang Wan*
IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), Vol. 28, No. 4, pp.2115-2125, 2024.
29. Cross-Modal Vertical Federated Learning for MRI Reconstruction
Yunlu Yan, Hong Wang, Yawen Huang, Nanjun He, Lei Zhu*, Yong Xu, Yuexiang Li*, Yefeng Zheng
IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), Vol. 28, No. 11, pp.6384-6394, 2024.
28. Cascaded Inner-Outer Clip Retformer for Ultrasound Video Object Segmentation
Jialu Li, Lei Zhu, Baoliang Zhao, Ying Hu, Faqin Lv, and Qiong Wang
To appear in IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2024.
27. Non-Invasive to Invasive: Enhancing Fundus Fluorescein Angiography Synthesis from Color Fundus Photographs with a New Dataset and a Baseline Network
Hongqiu Wang, Zhaohu Xing, Weitong Wu, Yijun Yang, Qingqing Tang, Meixia Zhang, Yanwu Xu, and Lei Zhu,
1st International Workshop on Multimedia Computing for Health and Medicine, pp. 7-15, ACM MM, 2024. (Best Paper Award)
26. DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification
Yijun Yang, Huazhu Fu, Angelica Aviles-Rivero, Carola-Bibiane Schönlieb, Lei Zhu*,
MICCAI, pp. 95-105, 2023. (Early accept)
25. Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos
Junhao Lin, Qian Dai, Lei Zhu*, Huazhu Fu, Qiong Wang, Weibin Li, Wenhao Rao, Xiaoyang Huang, and Liansheng Wang,
MICCAI, pp. 497-507, 2023. (Oral)
24. Dynamic Interactive Relation Capturing via Scene Graph Learning for Robotic Surgical Report Generation
Hongqiu Wang, Yueming Jin, and Lei Zhu*,
IEEE International Conference on Robotics and Automation (IEEE ICRA), pp. 2702-2709, 2023.
23. Multi-modal Learning for Predicting Genotypes of Glioma
Yiran Wei, Xi Chen, Lei Zhu, Lipei Zhang, Stephen Price, Carola-Bibiane Schönlieb, and Chao Li,
IEEE Transactions on Medical Imaging (IEEE TMI), Vol. 42, No. 11, pp. 3167-3178, 2023.
22. Fine-grained and Multi-class Classification for Alzheimer's Disease with Wavelet Convolution Unit Network,
Jinyu Wen, Yang Li, Meie Fang, Lei Zhu, Ping Li, and David Dagan Feng,
IEEE Transactions on Biomedical Engineering (IEEE TBME), Vol. 70, No. 9, pp. 2592-2603, 2023.
21. Uncertainty-aware Multi-dimensional Mutual Learning for Brain and Brain Tumor Segmentation,
Junting Zhao, Zhaohu Xing, Zhihao Chen, Liang Wan, Tong Han, Huazhu Fu, and Lei Zhu.
IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), Vol. 27, No. 9, pp.4362-4372, 2023.
20. Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19
Liansheng Wang, Jiacheng Wang, Lei Zhu*, Huazhu Fu, Ping Li, Gary Cheng, Zhipeng Feng, Shuo Li, and Pheng-Ann Heng.
IEEE Transactions on Cybernetics (TCyb), Vol. 35, No. 10, pp. 6363–6375, 2023. [Code]
19. ICBNet: Iterative Context-Boundary Feedback Network for Polyp Segmentation
Yefan Xiao, Zhihao Chen, Liang Wan, Lequan Yu, and Lei Zhu.
IEEE BIBM, pp. 1297-1304, 2022.
18. A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos
Zhi Lin, Junhao Lin, Lei Zhu#, Huazhu Fu, Jing Qin, and Liansheng Wang
MICCAI, pp.614–623, 2022. [Code] [Dataset]
17. Rethinking Breast Lesion Segmentation in Ultrasound: A New Video Dataset and A Baseline Network
Jialu Li, Qingqing Zheng, Mingshuang Li, Ping Liu, Qiong Wang, Litao Sun, and Lei Zhu.
MICCAI, pp. 391–400, 2022.
16. NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation
Zhaohu Xing, Lequan Yu, Liang Wan, Tong Han, and Lei Zhu.
MICCAI, pp. 140–150, 2022. [Code]
15. Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning
Tianling Liu, Wennan Liu, Lequan Yu, Liang Wan, Tong Han, and, Lei Zhu.
MICCAI, pp.355--365, 2022. [Code]
14. Reinforcement Learning Driven Intra-modal and Inter-modal Representation Learning for 3D Medical Image Classification
Zhonghang Zhu, Liansheng Wang, Baptiste Magnier, Lei Zhu, Defu Zhang, and Lequan Yu.
MICCAI, pp.604--613, 2022.
13. Mixed-weight Neural Bagging for Detecting m$^{6}$A Modifications in SARS-CoV-2 RNA Sequencing
Ruhan Liu, Liang Ou, Bin Sheng, Ping Li, ..., Lei Zhu, ... and David Dagan Feng
IEEE Transactions on Biomedical Engineering (TBME), Vol. 69, No.8, pp. 2557-2568, 2022.
12. Boundary-aware Transformers for Skin Lesion Segmentation
Jiacheng Wang, Wei Lan, Liansheng Wang, Qichao Zhou, Lei Zhu, and Jing Qin
MICCAI, pp. 206-216, 2021. [GitHub]
11. Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images
Cheng Xue, Lei Zhu#, Huazhu Fu, Xiaowei Hu, Xiaomeng Li, Hai Zhang, and Pheng-Ann Heng
Medical Image Analysis ( MIA ), Vol.70, 101989, 2021. [GitHub]
10. Comparative validation of multi-instance instrument segmentation in endoscopy: results of the ROBUST-MIS 2019 challenge
Tobias Ro, ... Lei Zhu, ... Medical Image Analysis (MIA), Vol.70, 101920, 2021.
9. A Second-order Subregion Pooling Network for Breast Ultrasound Lesion Segmentation
Lei Zhu, Rongzhen Chen, Huazhu Fu, Cong Xie, Liansheng Wang, Liang Wan, and Pheng-Ann Heng
MICCAI, pp. 160–170, 2020.
8. Shape Mask Generator: Learning to Refine Shape Priors for Segmenting Overlapping Cervical Cytoplasms
Youyi Song, Lei Zhu, Baiying Lei, Bin Sheng, Qi Dou, Jing Qin, and Kup-Sze Choi
MICCAI, pp. 639–649, 2020.
7. $\Psi$-Net: Stacking Densely Convolutional LSTMs for Sub-cortical Brain Structure Segmentation
Lihao Liu, Xiaowei Hu, Lei Zhu#, Chi-Wing Fu, Jing Qin, and Pheng-Ann Heng
IEEE Transactions on Medical Imaging (TMI), Vol. 39, No. 9, pp. 2806–2817, 2020. [GitHub]
6. Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading
Xiaomeng Li, Xiaowei Hu, Lequan Yu, Lei Zhu, Chi-Wing Fu, and Pheng-Ann Heng
IEEE Transactions on Medical Imaging (TMI), Vol. 39, No. 5, pp. 1483–1493, 2020.
Lihao Liu, Xiaowei Hu, Lei Zhu#, and Pheng-Ann Heng
MICCAI, pp. 346–354, 2019.
Youyi Song, Lei Zhu, Jing Qin, Baiying Lei, Bin Sheng, and Kup-Sze Choi
IEEE Transaction on Medical Imaging (TMI), Vol. 38, No. 12, pp. 2849–2862, 2019
Yi Wang, Haoran Dou, Xiaowei Hu, Lei Zhu, Xin Yang, Jing Qin, Pheng-Ann Heng, Tianfu Wang, and Dong Ni
IEEE Transaction on Medical Imaging (TMI), Vol. 38, No. 12, pp. 2768–2778, 2019
Yi Wang, Zijun Deng, Xiaowei Hu, Lei Zhu#, Xin Yang, Xuemiao Xu, Pheng-Ann Heng, and Dong Ni.
MICCAI, pp. 523–530, 2018.
Lei Zhu, Chi-Wing Fu, Michael S. Brown, and Pheng-Ann Heng
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5650–5658, 2017.
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