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Jiayu Lei (雷佳谕)
Hi, I currently work at the Medical AI Lab of Alibaba DAMO Academy, focusing on 3D medical image analysis.
I am a joint PhD student at the University of Science and Technology of China (USTC) and the Shanghai Artificial Intelligence Laboratory (Shanghai AI Lab), advised by Prof. Weidi Xie and Prof. Ya Zhang.
My research interests center on rtificial Intelligence for Healthcare (AI4Health), with a current emphasis on 3D medical imaging and multimodal medical models.
Google Scholar  / 
Github  / 
E-mail: thunderbey@163.com
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Recent News
Congratulations to all co-authors on the following acceptances, and thank you for the excellent teamwork!
[12/2025] 1 paper has been accepted by AAAI2026.
[12/2025] 1 paper has been accepted by JBHI.
[12/2025] 1 paper has been accepted by Nature.
[09/2025] 1 paper has been accepted by Nature Scientific Data.
[02/2025] 1 paper has been accepted by CMIG.
Research List
Versatile vision-language model for 3D computed tomography
Jiayu Lei, Ziqing Fan, Yanyong Zhang, Weidi Xie, Ya Zhang, Yanfeng Wang
AAAI, 2026
UniBrain: universal brain MRI diagnosis with hierarchical knowledge-enhanced pre-training
Jiayu Lei, Lisong Dai, Haoyun Jiang, Chaoyi Wu, Xiaoman Zhang, Yao Zhang,
Jiangchao Yao, Weidi Xie, Yanyong Zhang, Yuehua Li, Ya Zhang and Yanfeng Wang
CMIG, 2025
Boosting deep learning for interpretable brain MRI lesion detection through the integration of radiology report information
Lisong Dai, Jiayu Lei, Fenglong Ma, Zheng Sun, Haiyan Du, Houwang Zhang, Jingxuan Jiang, Jianyong Wei, Dan Wang, Guang Tan, Xinyu Song, Jinyu Zhu, Qianqian Zhao, Songtao Ai, Ai Shang, Zhaohui Li, Ya Zhang, Yuehua Li
Radiology AI, 2024
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