Invited to give a tutorial at MICS 2026. Slides
I am Yuetan (Iris) Chu, a postdoctoral researcher at King Abdullah University of Science and Technology (KAUST), working under the supervision of Prof. Xin Gao. Prior to this, I received my Ph.D. from KAUST and my B.S. in Medical Physics from the School of the Gifted Young at the University of Science and Technology of China (USTC). My research focuses on medical image analysis, medical foundation models, and AI-enabled quantitative analysis of CT and X-ray tomography data, with applications in pulmonary, cardiovascular, and critical-care imaging.
My work covers degradation modeling and restoration for X-ray tomography, representation learning for medical visual foundation models, structured medical report normalization for vision-language pretraining, and anatomy-aware analysis of non-contrast chest CT.
News
Two papers were accepted by MICCAI 2026.
Education
Dec. 2023 - Jun. 2026
King Abdullah University of Science and Technology (KAUST)
Ph.D. in Computer Science, Computer, Electrical and Mathematical Sciences and Engineering Department
Advisor: Prof. Xin Gao
Sep. 2021 - Dec. 2023
King Abdullah University of Science and Technology (KAUST)
M.S. in Biomedical Engineering, Biological and Environmental Science and Engineering Department
Advisor: Prof. Xin Gao
Sep. 2017 - Jun. 2021
University of Science and Technology of China (USTC)
B.S. in Medical physics, School of the Gifted Young
Advisor: Prof. Guoqiang Bi
Publications
HorusEye: a self-supervised foundation model for generalizable X-ray tomography restoration
Yuetan Chu, Longxi Zhou, Gongning Luo, Kai Kang, Suyu Dong, Zhongyi Han, Lianming Wu, Xianglin Meng, Changchun Yang, Xin Guo, Yuan Cheng, Yuan Qi, Xin Liu, Dexuan Xie, Yue Li, Ricardo Henao, Xigang Xiao, Shaodong Cao, Gianluca Setti, Zhaowen Qiu, Xin Gao
Nature Computational Science, 2026.
CT-based AI system for quantitative and integrated management of acute respiratory distress syndrome in critical care
Yuetan Chu, Jianpeng Wang, Peiyao Luo, Hui Chen, Zhongheng Zhang, Jiannan Zhang, Yilan Zhang, Yingnan Ju, Yaxin Xiong, Xiqing Luo, Jiuyue Sun, Hongyu Shi, Mingbo Zhao, Tinghui Qiu, Yiqi Wang, Quankuan Gu, Ping Hang, Qiuyue Yang, Jiaman Guan, Yi Zhang, Renpei Lu, Ci Han, Yaoyu Gu, Changsong Wang, Kai Kang, Zhaowen Qiu, Xin Ge, Gongning Luo, Xin Gao, Kaijiang Yu, Mingyan Zhao, Xianglin Meng
npj Digital Medicine, 2026.
Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differences
Yuetan Chu, Gongning Luo, Longxi Zhou, Shaodong Cao, Guolin Ma, Xianglin Meng, Juexiao Zhou, Changchun Yang, Dexuan Xie, Dan Mu, Ricardo Henao, Gianluca Setti, Xigang Xiao, Lianming Wu, Zhaowen Qiu, Xin Gao
Nature Communications, 16, 2262, 2025.
DOI
Code
Data / Zenodo
Slicer
Improving representation of high-frequency components for medical visual foundation models
Yuetan Chu, Yilan Zhang, Zhongyi Han, Changchun Yang, Longxi Zhou, Gongning Luo, Chao Huang, Xin Gao.
IEEE Transactions on Medical Imaging, 44(8):3196-3209, 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.
Computers in Biology and Medicine, 187:109760, 2025.
MedTri: Structured Medical Report Normalization for Enhanced Vision–Language Pretraining
Yuetan Chu, Xinhuai Ma, Jinran Jin, Gongning Luo, Xin Gao.
MICCAI, Springer, 2026.
Anatomic-constrained medical image synthesis via physiological density sampling
Yuetan Chu, Changchun Yang, Gongning Luo, Zhaowen Qiu, Xin Gao.
MICCAI, Springer, 2024.
Topology-preserving computed tomography super-resolution based on dual-stream diffusion model
Yuetan Chu, Longxi Zhou, Gongning Luo, Zhaowen Qiu, Xin Gao.
MICCAI, Springer, 2023. STAR Award.
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
Nature Machine Intelligence, 4:494-503, 2022.
Pre-trained multimodal large language model enhances dermatological diagnosis using SkinGPT-4
Juexiao Zhou, Xiaonan He, Liyuan Sun, Jiannan Xu, Xiuying Chen, Yuetan Chu, Longxi Zhou, Xingyu Liao, Bin Zhang, Shawn Afvari, Xin Gao
Nature Communications, 15:5649, 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
Computers in Biology and Medicine, 169:107861, 2024.
A Causal-Holistic Adaptive Intervention Network for tailoring automated coronary artery disease diagnosis to individual patients
Xinghua Ma, Xingyu Qiu, Yuetan Chu, Kuanquan Wang, Zhaowen Qiu, Gongning Luo, Xin Gao.
MICCAI, Springer, 2025.
Contact
Email: altoliairis@gmail.com