Research output per year
Research output per year
Personal profile
Research Interests
Eye-Brain Joint Computing, Artificial Intelligence, Medical Image Processing, Medical Robotics, Ocular Imaging
Personal profile
Jimmy Liu graduated from the Department of Computer Science of the University of Science and Technology of China in 1988. He further obtained his master and doctoral degrees in Computer Science from the National University of Singapore. In 2004, he started the Intelligent Medical Imaging Research Team (iMED Singapore, A*STAR) and grew it to become one of the world's largest ophthalmic medical image processing team, focusing on ophthalmic Artificial Intelligence research. Jimmy was the chairman of the IEEE Singapore Biomedical Engineering Society in Singapore.
In March 2016, Jimmy returned to China and founded the iMED China (Ningbo) team. He was the senior professor and founding director of the Cixi Institute of Biomedical Engineering (CIBE) of the Chinese Academy of Sciences.
In February 2019, he joined the Department of Computer Science and Engineering of the Southern University of Science and Technology to establish iMED China（Shenzhen. He is devoting his time to more fundamental eye-brain imaging, Artificial Intelligence, precision medicine, and surgical robotics research.
Teaching
Teach Artificial Intelligence, Advanced Artificial Intelligence, Image Processing, Medical Image Processing, Multimedia courses, etc.
Person Types
- Staff
Fingerprint
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Guidewire Endpoint Detection Based on Pixel-Adjacent Relation during Robot-Assisted Intravascular Catheterization: In Vivo Mammalian Models
Du, W., Yi, G., Omisore, O. M., Duan, W., Chen, X., Akinyemi, T., Liu, J., Lee, B. G. & Wang, L., 6 Jan 2024, (Published Online) In: Advanced Intelligent Systems.Research output: Journal Publication › Article › peer-review
Open Access -
Low-contrast medical image segmentation via transformer and boundary perception
Zhang, Y., Xi, R., Wang, W., Li, H., Hu, L., Lin, H., Towey, D., Bai, R., Fu, H., Higashita, R. & Liu, J., 19 Apr 2024, (Published Online) In: IEEE Transactions on Emerging Topics in Computational Intelligence. 13 p.Research output: Journal Publication › Article › peer-review
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Scale optimization using evolutionary reinforcement learning for object detection on drone imagery
Zhang, J., Yang, X., He, W., Ren, J., Zhang, Q., Zhao, Y., Bai, R., He, X. & Liu, J., 25 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 1, p. 410-418Research output: Journal Publication › Article › peer-review
Open Access -
ACT-Net: Anchor-Context Action Detection in Surgery Videos
Hao, L., Hu, Y., Lin, W., Wang, Q., Li, H., Fu, H., Duan, J. & Liu, J., 2023, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 - 26th International Conference, Proceedings. Greenspan, H., Greenspan, H., Madabhushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T. & Taylor, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 196-206 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14228 LNCS).Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
Open Access -
A generic fundus image enhancement network boosted by frequency self-supervised representation learning
Li, H., Liu, H., Fu, H., Xu, Y., Shu, H., Niu, K., Hu, Y. & Liu, J., Dec 2023, In: Medical Image Analysis. 90, 102945.Research output: Journal Publication › Article › peer-review
Open Access1 Citation (Scopus)