实验室招收博士生、硕士生、科研助理及实习。欢迎相关领域同学邮件联系，请确认自己对科研有浓厚兴趣，有代码和发表经验者优先。

南京大学医学院研究员/助理教授/博士生导师，南京大学健康医疗大数据国家研究院院长助理。美国北卡罗莱纳大学教堂山分校访问学者。主要研究基于人工智能的药物设计和医学图像分析。已发表包括npj Digital Medicine, npj Precision Oncology, IEEE TMI, Medical Image Analysis, PR, ICLR, ECCV在内的医学和人工智能领域旗舰期刊和会议30多篇，包括ESI热点1篇，高被引4篇，被引3000余次（Google Scholar）。

个人主页

https://keleihe.github.io/

中国研究型医院学会神经再生与组织器官损伤修复专委会委员，中国图学学会医学影像专委会委员，MICS委员

Front. in Radiology/Intelligent Medicine/EJNMMI Reports Guest Editors，NeurIPS MIMN workshop PC

长期担任相关领域旗舰期刊和会议审稿人，并多年获得IEEE TMI杰出审稿人奖。

Selected Publications：

[1] Zhuoyuan Li, Tao Zhou, Bing Zhang, Xin Zhang, Wei Li*, Chunhua Hang*, Kelei He*. Unsupervised generative AI for enhancing brain tumor segmentation in multi-center, incomplete real-world data scenarios[J]. npj Precision Oncology, 2025, 9(1): 384.

[2] Lili Huang^#, Zhuoyuan Li^#, Xiaolei Zhu^#, Hui Zhao, Chenglu Mao, Zhihong Ke, Yuting Mo, Dan Yang, Yue Cheng, Ruomeng Qin, Zheqi Hu, Pengfei Shao, Ying Chen, Min Lou*, Kelei He*, Yun Xu*. Deep adaptive learning predicts and diagnoses CSVD-related cognitive decline using radiomics from T2-FLAIR: a multi-centre study[J]. npj Digital Medicine, 2025, 8(1): 444.

[3] Chen Gan, Zihao Yin, Kelei He^*, Yang Gao, Junfeng Zhang. Diving Segmentation Model into Pixels[C]. The Twelfth International Conference on Learning Representations (ICLR), Vienna, Austria, 2024.5.7-11. 

[4] Zihao Yin, Chen Gan, Kelei He^*, Yang Gao, Junfeng Zhang. Hybrid Sharing for Multi-Label Image Classification[C]. The Twelfth International Conference on Learning Representations (ICLR), Vienna, Austria, 2024.5.7-11.

[5] Kelei He^#, Chen Gan^#, Zhuoyuan Li^#, Islem Rekik^#, Zihao Yin, Wen Ji, Yang Gao, Qian Wang^*, Junfeng Zhang^*, Dinggang Shen^*, Transformers in Medical Image Analysis: A Review[J]. Intelligent Medicine, 2023, 3(1): 59-78. 

[6] Chong Jiang^#, Kai Chen^#, Yue Teng, Chongyang Ding, Zhengyang Zhou, Yang Gao, Junhua Wu, Jian He^*,Kelei He^*, Junfeng Zhang, Deep learning–based tumour segmentation and total metabolic tumour volume prediction in the prognosis of diffuse large B-cell lymphoma patients in 3D FDG-PET images[J]. European Radiology, 2022,32(7): 4801-4812. 

[7] Kelei He^#, Wei Zhao^#, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Yinghuan Shi, Feng Shi, Yang Gao, Jun Liu^*, Junfeng Zhang^*, Dinggang Shen^*, Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images[J]. Pattern Recognition, 2021, 113: 107828.（ESI高被引）

[8] Kelei He, Chunfeng Lian, Bing Zhang, Xin Zhang, Xiaohuan Cao, Dong Nie, Yang Gao, Junfeng Zhang^*, Dinggang Shen^*. HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation[J]. IEEE Transactions on Medical Imaging, 2021, 40(8): 2118-2128.

[9] Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yang Gao, Bing Zhang, Junfeng Zhang^*, Dinggang Shen^*, Synergistic Image- and Voxel-Level Learning for Precise Prostate Segmentation via Online Sampling[J]. Medical Image Analysis, 2021, 7(71), 102039.

[10] Wen Ji^#, Kelei He^#*, Jing Huo^*, Zheng Gu, Yang Gao, Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition[C]. European Conference on Computer Vision (ECCV), Online, 2020.8.23-28. 

[11] Kelei He, Xiaohuan Cao, Yinghuan Shi, Dong Nie, Yang Gao^*, Dinggang Shen^*, Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks[J]. IEEE Transactions on Medical Imaging, 2019, 38(2):585-595. （ESI高被引）

[12] Shuai Wang^#, Kelei He^#, Dong Nie, Sihang Zhou, Yaozong Gao, Dinggang Shen^*, CT Male Pelvic Organ Segmentation using Fully Convolutional Networks with boundary sensitive representation[J]. Medical Image Analysis, 2019, 54: 168-178. 

主持国家自然科学基金面上、青年基金、江苏省自然科学基金青年基金

参与国家自然科学基金重大、重点，国家和省市级重点研发计划等多项

入选斯坦福全球前2%顶尖科学家

江苏省青年五四奖章集体成员