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Dr. Mingzhai Sun（孙明斋）

  • Experiences:
    2022－Present Research Professor Suzhou Institute for Advanced Research, University of Science and Technology of China 2015－2022 Research Professor University of Science and Technology of China 2012－2015 Research Scientist and Director of the AFM Core Facility Ohio State University 2008－2012 Postdoc Princeton University 2002－2008 Ph.D. University of Missouri-Columbia 2001－2002 Master University of Science and Technology of China 1996－2001 Bachelor University of Science and Technology of China
  • Research Interests:
    1、Biomedical Imaging: Development of multimodal imaging techniques, especially those based on the eye-brain relationship, such as fundus multimodal imaging technologies.； 2、Artificial Intelligence Algorithms: Focus on the application of artificial intelligence in biomedicine, including image analysis based on computer vision (CV), knowledge graph research based on NLP (Natural Language Processing), and interactions among microphysilogical systems (MPS) based on deep learning；
  • E-mail:
    mingzhai@ustc.edu.cn

Representative Publications：

  • Liu J, Liu H, Fu H, Ye Y, Chen K, Lu Y, Mao J, Xu R*, & Sun, M. * (2023) Edge-guided Contrastive Adaptation Network for Arteriovenous Nicking Classification Using Synthetic Data[J]. IEEE Transactions on Medical Imaging.
  • Liu, L, Liu, J, Ye, Y, Sun,M.*(2023). Ultra-short-term wind power forecasting based on deep Bayesian model with uncertainty. Renewable Energy, 2023, 205: 598-607.
  • Zhang, S., Li, B., Liu, L., Hu, Q., Liu, H., Zheng, R., Zhu, Y., Liu, T., Sun, M.*, & Liu, C.* (2021). Prediction of vertical profile of NO₂ using deep multimodal fusion network based on the ground-based 3-D remote sensing. IEEE Transactions on Geoscience and Remote Sensing, 60: 1-13.
  • Luo, Y., Chen, K., Liu, L., Liu, J., Mao, J., Ke, G., & Sun, M.* (2020). Dehaze of Cataractous Retinal Images using an Unpaired Generative Adversarial Network. IEEE Journal of Biomedical and Health Informatics, 24 (12), 3374-3383.
  • Ye, Y., Sun, W. W., Xu, R. X., Selmic, L. E.*, & Sun, M.* (2021). Intraoperative assessment of canine soft tissue sarcoma by deep learning enhanced optical coherence tomography. Veterinary and comparative oncology, 19(4): 624-631.
  • Chen, H., Liu, G., Zhang, S., Shen, S., Shen,S., Luo, Y., Li, J., Roberts,C.J., Sun,M. *, & Xu, R. X.*(2019). Fundus-simulating phantom for calibration of retinal vessel oximetry devices. Applied Optics, 58(14), 3877-3885.
  • Zheng, R., Liu, L., Zhang, S., Zheng, C., Bunyak, F., Xu, R., Li,B., & Sun, M.* (2018). Detection of exudates in fundus photographs with imbalanced learning using conditional generative adversarial network. Biomedical optics express, 9(10), 4863-4878.

Project:

  • Key Research and Development Program Project, 2022YFA1104803, Core Member.
  • Key Research and Development Program Project, 2021YFC2401402, Principal Investigator.