Kelei He 何克磊

Kelei He 何克磊

Assistant Professor · Ph.D. Supervisor研究员／助理教授 · 博士生导师

Medical School, Nanjing University
Assistant to the Dean, National Institute of Healthcare Data Science, Nanjing University南京大学医学院
南京大学健康医疗大数据国家研究院院长助理

Email邮箱·Google Scholar·ORCID·GitHub

Portrait of Kelei He / 何克磊的照片

About个人简介

I am an Assistant Professor at the Medical School of Nanjing University and Assistant to the Dean of the National Institute of Healthcare Data Science. My research focuses on AI for disease understanding and intervention, spanning disease modeling and foundation models, disease decision-making and intelligent agents, and disease intervention and drug design.

Prospective students: I welcome inquiries from Ph.D./Master's applicants, research assistants, and interns interested in medical AI and AI for life sciences. Please email me with your CV.

现任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。主要围绕面向疾病理解与干预的人工智能开展研究，聚焦疾病建模与基础模型、疾病决策与智能体、疾病干预与药物设计三个方向。

招生与合作：欢迎对医学人工智能、人工智能药物发现等方向感兴趣的博士生、硕士生、科研助理及实习生联系。请发送个人简历至 hkl@nju.edu.cn。

News最新动态

Research Interests研究方向

  • Disease Modeling & Foundation Models
    Medical imaging and multimodal disease representations, foundation models, and generalizable disease modeling.    疾病建模与基础模型
    医学影像与多模态疾病表征、基础模型构建及跨中心泛化。
  • Disease Decision-Making & Intelligent Agents
    Disease risk prediction, clinical decision support, intelligent agents, and radiotherapy decision modeling.    疾病决策与智能体
    疾病风险预测、临床辅助决策、智能体与放疗决策建模。
  • Disease Intervention & Drug Design
    Therapeutic target discovery, protein–ligand modeling, molecular generation, and treatment optimization.    疾病干预与药物设计
    治疗靶点发现、蛋白质–配体建模、分子生成及治疗方案优化。

Publications代表性论文

Full list on Google Scholar ↗完整论文列表：Google Scholar ↗

# First / co-first author · * Corresponding author# 第一作者／共同第一作者 · * 通讯作者

2026

  1. Microbial aldehyde-alcohol dehydrogenase degrades metformin to limit therapeutic response in type 2 diabetes.
    Yue Zhao#*, Chen Peng#, Ying Xia#, Tiejun Dong#, Juan Xu, Xiaodong Shan, Xiang Zhong, Jingchuan Xue, Ziqian Bing, Pengfei Li, Jingyu Han, Yunzhong Nie, Kelei He*, Yu Cao*, Tingting Wang*.
    Cell Metabolism, online 29 Sep 2026. [Paper][论文]
  2. Structured prompt-guided knowledge injection for medical image segmentation.
    Yiyang Zhao#, Kelei He, Yizhe Zhang, Yi Zhou, Tao Zhou, Dong Liang.
    Pattern Recognition, 179:113852, 2026. [Paper][论文]

2025

  1. Unsupervised generative AI for enhancing brain tumor segmentation in multi-center, incomplete real-world data scenarios.
    Zhuoyuan Li#, Tao Zhou, Bing Zhang, Xin Zhang, Wei Li*, Chunhua Hang*, Kelei He*.
    npj Precision Oncology, 9:384, 2025. [Paper][论文]
  2. Deep adaptive learning predicts and diagnoses CSVD-related cognitive decline using radiomics from T2-FLAIR: a multi-centre study.
    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*.
    npj Digital Medicine, 8:444, 2025. [Paper][论文]
  3. Dual-scale enhanced and cross-generative consistency learning for semi-supervised medical image segmentation.
    Yunqi Gu#, Tao Zhou*, Yizhe Zhang, Yi Zhou, Kelei He, Chen Gong, Huazhu Fu.
    Pattern Recognition, 2025. [Paper][论文]

2024

  1. Diving Segmentation Model into Pixels.
    Chen Gan#, Zihao Yin, Kelei He*, Yang Gao, Junfeng Zhang.
    International Conference on Learning Representations (ICLR), 2024. [PDF] [Code][代码]
  2. Hybrid Sharing for Multi-Label Image Classification.
    Zihao Yin#, Chen Gan, Kelei He*, Yang Gao, Junfeng Zhang.
    International Conference on Learning Representations (ICLR), 2024. [PDF] [Code][代码]

2023

  1. Multi-Scale Transformer Network With Edge-Aware Pre-Training for Cross-Modality MR Image Synthesis.
    Yonghao Li#, Tao Zhou*, Kelei He, Yi Zhou, Dinggang Shen*.
    IEEE Transactions on Medical Imaging, 42(11):3395–3407, 2023. [Paper][论文]
  2. Cross-level Feature Aggregation Network for Polyp Segmentation.
    Tao Zhou#, Yi Zhou, Kelei He, Chen Gong*, Jian Yang, Huazhu Fu, Dinggang Shen*.
    Pattern Recognition, 140:109555, 2023. [Paper][论文]
  3. Transformers in Medical Image Analysis: A Review.
    Kelei He#, Chen Gan#, Zhuoyuan Li#, Islem Rekik#, Zihao Yin, Wen Ji, Yang Gao, Qian Wang*, Junfeng Zhang*, Dinggang Shen*.
    Intelligent Medicine, 3(1):59–78, 2023 (online 2022). [Paper][论文]

2022

  1. Calcium Scoring at Coronary CT Angiography Using Deep Learning.
    Dan Mu#, Junjie Bai#, Wenping Chen, Hongming Yu, Jing Liang, Kejie Yin, Hui Li, Zhao Qing, Kelei He, Hao-Yu Yang, Jinyao Zhang, Youbing Yin, Hunter W. McLellan, U. Joseph Schoepf, Bing Zhang*.
    Radiology, 302(2):309–316, 2022. [Paper][论文]
  2. 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.
    Chong Jiang#, Kai Chen#, Yue Teng, Chongyang Ding, Zhengyang Zhou, Yang Gao, Junhua Wu, Jian He*, Kelei He*, Junfeng Zhang.
    European Radiology, 32:4801–4812, 2022. [Paper][论文]
  3. Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images.
    Xiaoming Liu#*, Quan Yuan, Yaozong Gao, Kelei He, Shuo Wang, Xiao Tang, Jinshan Tang, Dinggang Shen*.
    Pattern Recognition, 122:108341, 2022. [Paper][论文]

2021

  1. HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation.
    Kelei He#, Chunfeng Lian, Bing Zhang, Xin Zhang, Xiaohuan Cao, Dong Nie, Yang Gao, Junfeng Zhang*, Dinggang Shen*.
    IEEE Transactions on Medical Imaging, 40(8):2118–2128, 2021. [Paper][论文]
  2. MetricUNet: Synergistic Image-and Voxel-Level Learning for Precise Prostate Segmentation via Online Sampling.
    Kelei He#, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yang Gao, Bing Zhang, Junfeng Zhang*, Dinggang Shen*.
    Medical Image Analysis, 71:102039, 2021. [Paper][论文]
  3. Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images.
    Kelei He#, Wei Zhao#, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Yinghuan Shi, Feng Shi, Yang Gao, Jun Liu*, Junfeng Zhang*, Dinggang Shen*.
    Pattern Recognition, 113:107828, 2021. [Paper][论文]

2020 & earlier2020 及以前

  1. Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition.
    Wen Ji#, Kelei He#*, Jing Huo*, Zheng Gu, Yang Gao.
    European Conference on Computer Vision (ECCV), 2020. [Paper][论文] [Code][代码]
  2. Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks.
    Kelei He#, Xiaohuan Cao, Yinghuan Shi, Dong Nie, Yang Gao*, Dinggang Shen*.
    IEEE Transactions on Medical Imaging, 38(2):585–595, 2019.
  3. CT Male Pelvic Organ Segmentation using Fully Convolutional Networks with Boundary Sensitive Representation.
    Shuai Wang#, Kelei He#, Dong Nie, Sihang Zhou, Yaozong Gao, Dinggang Shen*.
    Medical Image Analysis, 54:168–178, 2019.

Academic Service学术服务

Reviewer for journals and conferences in medical imaging and artificial intelligence, including IEEE TMI and related venues; committee and guest-editor activities in medical AI.长期担任医学影像与人工智能领域期刊和会议审稿人，参与专业委员会及期刊客座编辑等学术服务。