Yuetan Chu

According to our database, Yuetan Chu authored at least 8 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Facial Foundational Model Advances Early Warning of Coronary Artery Disease from Live Videos with DigitalShadow.

Juexiao Zhou, Zhongyi Han, Mankun Xin, Xingwei He, Guotao Wang, Jiaoyan Song, Gongning Luo, Wenjia He, Xintong Li, Yuetan Chu, Juanwen Chen, Bo Wang, Xia Wu, Wenwen Duan, Zhixia Guo, Liyan Bai, Yilin Pan, Xuefei Bi, Lu Liu, Long Feng, Xiaonan He, Xin Gao

CoRR, June, 2025

Point-annotation supervision for robust 3D pulmonary infection segmentation by CT-based cascading deep learning.

Yuetan Chu, Jianpeng Wang, Yaxin Xiong, Yuan Gao, Xin Liu, Gongning Luo, Xin Gao, Mingyan Zhao, Chao Huang, Zhaowen Qiu, Xianglin Meng

Comput. Biol. Medicine, 2025

2024

Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI.

Juexiao Zhou, Longxi Zhou, Di Wang, Xiaopeng Xu, Haoyang Li, Yuetan Chu, Wenkai Han, Xin Gao

Comput. Biol. Medicine, February, 2024

Improving Representation of High-frequency Components for Medical Foundation Models.

Yuetan Chu, Yilan Zhang, Zhongyi Han, Changchun Yang, Longxi Zhou, Gongning Luo, Xin Gao

CoRR, 2024

Deep learning-driven pulmonary arteries and veins segmentation reveals demography-associated pulmonary vasculature anatomy.

Yuetan Chu, Gongning Luo, Longxi Zhou, Shaodong Cao, Guolin Ma, Xianglin Meng, Juexiao Zhou, Changchun Yang, Dexuan Xie, Ricardo Henao, Xigang Xiao, Lianming Wu, Zhaowen Qiu, Xin Gao

CoRR, 2024

Anatomic-Constrained Medical Image Synthesis via Physiological Density Sampling.

Yuetan Chu, Changchun Yang, Gongning Luo, Zhaowen Qiu, Xin Gao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Topology-Preserving Computed Tomography Super-Resolution Based on Dual-Stream Diffusion Model.

Yuetan Chu, Longxi Zhou, Gongning Luo, Zhaowen Qiu, Xin Gao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

An interpretable deep learning workflow for discovering subvisual abnormalities in CT scans of COVID-19 inpatients and survivors.

Longxi Zhou, Xianglin Meng, Yuxin Huang, Kai Kang, Juexiao Zhou, Yuetan Chu, Haoyang Li, Dexuan Xie, Jiannan Zhang, Weizhen Yang, Na Bai, Yi Zhao, Mingyan Zhao, Guohua Wang, Lawrence Carin, Xigang Xiao, Kaijiang Yu, Zhaowen Qiu, Xin Gao

Nat. Mach. Intell., 2022