Biography
Dr. Yuting He is currently a Research Associate in the Department of Biomedical Engineering at Case Western Reserve University, USA. He received his Ph.D. in Computer Science from Southeast University in 2023. His research lies at the forefront of medical representation learning, interactive medical AI, and foundation models for healthcare, with a focus on developing structure-aware and human-centered computational frameworks for multimodal medical data. Dr. He has published over 40 peer-reviewed articles in top-tier journals and conferences, including Nature Communications, IEEE T-PAMI, IEEE T-MI, Medical Image Analysis, CVPR, ICCV, MICCAI, etc. His scholarly contributions are widely recognized, evidenced by prestigious honors such as the Bao Gang Outstanding Student Award. In addition to his research, Dr. He is actively involved in the academic community, serving as an Area Chair for MICCAI 2026, Senior Program Committee member for IJCAI-ECAI 2026, and a regular reviewer for leading venues including IEEE T-MI, IEEE T-NNLS, NeurIPS, CVPR, AAAI, etc.
News
My research focuses on the question: How can we design foundation models for medical AI that
Representation
Learn unified representations across modalities and institutions
Interaction
Incorporate human intent and interaction into perception and decision-making
Generalization
Adapt reliably and efficiently to new clinical environments
Free Lunch in Medical Image Foundation Model Pre-training via Randomized Synthesis and Disentanglement.
Tech Report
Yuhan Wei#, Yuting He# (Equal contribution), Linshan Wu, Fuxiang Huang, Junlin Hou, Hao Chen*
Preprint
Imaging foundation model for universal enhancement of non-ideal measurement CT.
Tech Report
Yuxin Liu, Rongjun Ge, Yuting He* (Corresponding author), Zhan Wu, Chenyu You, Shuo Li, Yang Chen*
Preprint
Dynamic Stream Network for Combinatorial Explosion Problem in Deformable Medical Image Registration.
CVPR 2026
Shaochen Bi, Yuting He* (Corresponding author), Weiming Wang, Hao Chen*
IEEE/CVF Conference on Computer Vision and Pattern Recognition
Generative Data-engine Foundation Model for Universal Few-shot 2D Vascular Image Segmentation.
MedIA 2026
Rongjun Ge, Xin Li, Yuxing Liu, Chengliang Liu, Pinzheng Zhang, Jiong Zhang, Jian Yang, Jean-Louis Dillenseger, Chunfeng Yang#, Yuting He* (Corresponding author), Yang Chen*
Medical Image Analysis
Vector Contrastive Learning For Pixel-Wise Pretraining In Medical Vision.
ICCV 2025
Yuting He, Shuo Li
IEEE/CVF International Conference on Computer Vision
Adaptation follow human attention: Gaze-assisted medical segment anything model.
TCSVT 2025
Rongjun Ge, Ruiyi Li, Chong Wang, Yuxin Liu, Heng Zhu, Jean-Louis Coatrieux, Daoqiang Zhang, Jian Lu, Yang Chen, Shuo Li, Yuting He*
IEEE Transactions on Circuits and Systems for Video Technology
Human gaze-based dual teacher guidance learning for semi-supervised medical image segmentation.
NN 2025
Rongjun Ge, Chong Wang, Yuxin Liu, Chunqiang Lu, Cong Xia, Yehui Jiang, Fangyi Xu, Yinsu Zhu, Daoqiang Zhang, Chengyu Liu, Yang Chen, Shuo Li, Yuting He*
Neural Networks
Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning.
T-PAMI 2025
Yuting He, Boyu Wang, Rongjun Ge, Yang Chen, Guanyu Yang, Shuo Li
IEEE Transactions on Pattern Analysis and Machine Intelligence
Conditional Virtual Imaging for Few-Shot Vascular Image Segmentation.
T-MI 2025
Yanglong He, Rongjun Ge, Hui Tang, Yuxin Liu, Mengqing Su, Jean-Louis Coatrieux, Huazhong Shu, Yang Chen, Yuting He
IEEE Transactions on Medical Imaging
Foundation Model for Advancing Healthcare: Challenges, Opportunities and Future Directions.
RBME 2024
Yuting He, Fuxiang Huang, Xinrui Jiang, Yuxiang Nie, Minghao Wang, Jiguang Wang, Hao Chen.
IEEE Reviews in Biomedical Engineering
Segment Anything in Medical Images.
Nat. Comm 2024
Jun Ma, Yuting He, Feifei Li, Lin Han, Chenyu You, Bo Wang.
Nature Communications
Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training.
CVPR 2023
Yuting He, Guanyu Yang, Rongjun Ge, Yang Chen, Jean-Louis Coatrieux, Boyu Wang, Shuo Li.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (Travel Award)
O2M-UDA: Unsupervised dynamic domain adaptation for one-to-multiple medical image segmentation.
KBS 2023
Ziyue Jiang#, Yuting He# (Equal contribution), Shuai Ye, Pengfei Shao, Xiaomei Zhu, Yi Xu, Yang Chen, Jean-Louis Coatrieux, Shuo Li, Guanyu Yang.
Knowledge-Based Systems
Multi-Task Learning for Pulmonary Arterial Hypertension Prognosis Prediction via Memory Drift and Prior Prompt Learning on 3D Chest CT.
J-BHI 2023
Guanyu Yang#, Yuting He# (Equal contribution), Yang Lv, Yang Chen, Jean-Louis Coatrieux, Xiaoxuan Sun, Qiang Wang, Yongyue Wei, Shuo Li, and Yinsu Zhu.
IEEE Journal of Biomedical and Health Informatics
Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness.
T-NNLS 2022
Yuting He, Rongjun Ge, Xiaoming Qi, Yang Chen, Jiasong Wu, Jean-Louis Coatrieux, Guanyu Yang, Shuo Li.
IEEE Transactions on Neural Networks and Learning Systems
Few-shot Learning for Deformable Medical Image Registration with Perception-Correspondence Decoupling and Reverse Teaching.
J-BHI 2022
Yuting He, Tiantian Li, Rongjun Ge, Jian Yang, Youyong Kong, Jian Zhu, Huazhong Shu, Guanyu Yang, Shuo Li.
IEEE Journal of Biomedical and Health Informatics
Thin Semantics Enhancement via High-Frequency Priori Rule for Thin Structures Segmentation.
ICDM 2021
Yuting He, Rongjun Ge, Jiasong Wu, Jean-Louis Coatrieux, Huazhong Shu, Yang Chen, Guanyu Yang, Shuo Li.
IEEE International Conference on Data Mining
Meta grayscale adaptive network for 3D integrated renal structures segmentation.
MedIA 2021
Yuting He, Guanyu Yang, Jian Yang, Rongjun Ge, Youyong Kong, Xiaomei Zhu, Shaobo Zhang, Pengfei Shao, Huazhong Shu, Jean-Louis Dillenseger, Jean-Louis Coatrieux, Shuo Li.
Medical Image Analysis
EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation.
IPMI 2021
Yuting He, Rongjun Ge, Xiaoming Qi, Guanyu Yang, Yang Chen, Youyong Kong, Huazhong Shu, Jean-Louis Coatrieux, Shuo Li.
International Conference on Information Processing in Medical Imaging
CPNet: cycle prototype network for weakly-supervised 3D renal compartments segmentation on CT images.
MICCAI 2021
Song Wang#, Yuting He# (Equal contribution), Youyong Kong, Xiaomei Zhu, Shaobo Zhang, Pengfei Shao, Jean-Louis Dillenseger, Jean-Louis Coatrieux, Shuo Li, Guanyu Yang.
International Conference on Medical Image Computing and Computer-Assisted Intervention
Deep complementary joint model for complex scene registration and few-shot segmentation on medical images.
ECCV 2020
Yuting He, Tiantian Li, Guanyu Yang, Youyong Kong, Yang Chen, Huazhong Shu, Jean-Louis Coatrieux, Jean-Louis Dillenseger, Shuo Li.
European Conference on Computer Vision
Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation.
MedIA 2020
Yuting He, Guanyu Yang*, Jian Yang, Yang Chen, Youyong Kong, Jiasong Wu, Lijun Tang, Xiaomei Zhu, Jean-Louis Dillenseger, Pengfei Shao, Shaobo Zhang, Huazhong Shu, Jean-Louis Coatrieux, Shuo Li.
Medical Image Analysis
Awards and Honors
-
Bao Gang Outstanding Student Award (宝钢优秀学生奖)
500 students in China each year
-
-
Merit student of Jiangsu Province
-
Southeast University Good Youth Award (东大好青年)
10 students in SEU each year
-
Southeast University Graduate Student of the Year (正·青年)
10 graduated students in SEU each year
-
Merit student of Southeast University
-
Southeast University Doctoral Freshman Award
Professional Services
Conference Services
★MICCAI 2026 Area Chair
★IJCAI-ECAI 2026 Senior Program Committee
·Regular reviewer: CVPR · ICCV · ECCV · AAAI · MICCAI · NeurIPS
Journal Services
·Regular reviewer: IEEE T-MI · T-NNLS · TCSVT · THMS · TRPMS · J-BHI · PR · CMIG · MIR
