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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A ranking-based multi-scale feature calibration network for nuclear cataract grading in AS-OCT images
Gu, Y., Fang, L., Mou, L., Ma, S., Yan, Q., Zhang, J., Liu, F., Liu, J. & Zhao, Y., Apr 2024, In: Biomedical Signal Processing and Control. 90, 105836.Research output: Journal Publication › Article › peer-review
2 Citations (Scopus) -
Cross-modal attention network for retinal disease classification based on multi-modal images
Liu, Z., Hu, Y., Qiu, Z., Niu, Y., Zhou, D., Li, X., Shen, J., Jiang, H., Li, H. & Liu, J., 1 Jun 2024, In: Biomedical Optics Express. 15, 6, p. 3699-3714 16 p.Research output: Journal Publication › Article › peer-review
Open Access -
DCAMIL: Eye-tracking guided dual-cross-attention multi-instance learning for refining fundus disease detection
Jiang, H., Gao, M., Huang, J., Tang, C., Zhang, X. & Liu, J., 1 Jun 2024, In: Expert Systems with Applications. 243, 122889.Research output: Journal Publication › Article › peer-review
3 Citations (Scopus) -
Deep learning for macular fovea detection based on ultra-widefield fundus images
Wang, M. H., Huang, L., Hou, G., Yang, J., Xing, L., Yuan, Q., Chong, K. K. L., Lin, Z., Zeng, P., Fang, X., Yao, X., Li, Q., Liu, J. & Lin, C., 2024, Second International Conference on Electrical, Electronics, and Information Engineering, EEIE 2023. Limongi, T. & Lin, H. (eds.). SPIE, 129831Z. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 12983).Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
Open Access -
Enhancing and Adapting in the Clinic: Source-Free Unsupervised Domain Adaptation for Medical Image Enhancement
Li, H., Lin, Z., Qiu, Z., Li, Z., Niu, K., Guo, N., Fu, H., Hu, Y. & Liu, J., 1 Apr 2024, In: IEEE Transactions on Medical Imaging. 43, 4, p. 1323-1336 14 p.Research output: Journal Publication › Article › peer-review
Open Access3 Citations (Scopus)