OU, Chubin
POSITION/TITLE
Associate Researcher
RESEARCH FIELD
Medical imaging AI; optical coherence tomography angiography; eye–heart–brain vascular analysis
ouchubin@sribd.cn
PERSONAL WEBSITE
Google Scholar: https://scholar.google.com/citations?user=tCV12ZUAAAAJ
EDUCATION BACKGROUND
Ph.D., The Hong Kong University of Science and Technology, 2016
Bachelor's degree, The Hong Kong University of Science and Technology, 2011
BIOGRAPHY
Chubin Ou is an Associate Researcher at the Shenzhen Research Institute of Big Data (SRIBD). He received his bachelor's and Ph.D. degrees from The Hong Kong University of Science and Technology. He specializes in medical imaging AI, retinal vascular imaging, and intelligent analysis of eye–heart–brain vascular health, as well as the industrialization of medical devices. He led the development of domestically produced medical devices that have obtained six NMPA Class II registration certificates and one EU CE certificate, and the products are sold in China and overseas. As principal investigator, he has secured over CNY 5 million in funding from projects including those of the National Natural Science Foundation of China and Guangdong provincial science and technology programs. His work has been published in IEEE Transactions on Medical Imaging, Medical Image Analysis, NeurIPS, CVPR, MICCAI, and other journals and conferences. He has received the First Prize of the Guangdong Medical Science and Technology Award and the Second Prize of the Innovation Technology Award of the China Simulation Federation, and won first place in two MICCAI international challenges.
ACADEMIC PUBLICATIONS
1. W. Jiang, J. Lv, X. Gong, X. Li, C. Ou*. Gate to the vessel: residual experts restore what SAM overlooks. NeurIPS, 2025.
2. W. Jiang, Y. Li, Z. Liu, L. An, G. Quellec, C. Ou*. SarAdapter: Prioritizing Attention on Semantic-Aware Representative Tokens for Enhanced Medical Image Segmentation. IEEE Transactions on Medical Imaging, 2025.
3. C. Tian, S. Zou, X. Liao, C. Chen, C. Ou*, J. Lv, S. Wang, W. Si*. Cerebrovascular Diseases Screening from Color Fundus Photography via Cross-View Fusion and Graph-Based Discrimination. MICCAI (oral), 2025.
4. L. Wang, H. Wang, C. Ou*, L. Chen, Y. Liang, X. Li*. VAMPIRE: Uncovering Vessel Directional and Morphological Information from OCTA Images for Cardiovascular Disease Risk Factor Prediction. MICCAI, 2025.
5. W. Jiang, J. Li, Y. Li, X. Wei, J. Huang, G. Quellec, W. Si*, C. Ou*. Boundary-aware dynamic re-weighting for semi-supervised medical image segmentation. Expert Systems with Applications, 2025.
8、OTHER OPTIONAL ENTRIES
1. First Prize, Guangdong Medical Science and Technology Award
2. Second Prize, Innovation Technology Award, China Simulation Federation
3. First place in two MICCAI international medical AI challenges
4. Developed products that have obtained seven NMPA registration and CE certificates in total, and are used in more than 1,000 medical institutions in China and overseas
