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Kun Chen（陈坤）

  • Experiences:
    B.S., 2015-2019, University of Science and Technology of China, Anhui, China Ph.D., 2019-now, University of Science and Technology of China, Anhui, China
  • Research Interests:
    My focus lies in the captivating fields of medical image processing, deep learning, machine learning, and exploring vascular biomarkers in diseases
  • E-mail:
    ck970205@mail.ustc.edu.cn

Publications ：

  1. Chen K, Mao J, Liu H, et al. Screening of idiopathic epiretinal membrane using fundus images combined with blood oxygen saturation and vascular morphological features[J]. International Ophthalmology, 2022: 1-14.
  2. Luo Y, Chen K, Liu L, et al. Dehaze of cataractous retinal images using an unpaired generative adversarial network[J]. IEEE Journal of Biomedical and Health Informatics, 2020, 24(12): 3374-3383.
  3. Luo Y, Chen K, Mao J, et al. A Fusion Deep Convolutional Neural Network Based on Pathological Features for Diagnosing Plus Disease in Retinopathy of Prematurity[J]. Investigative Ophthalmology & Visual Science, 2020, 61(7): 2017-2017.
  4. Mao J, Luo Y, Chen K, et al. New grading criterion for retinal haemorrhages in term newborns based on deep convolutional neural networks[J]. Clinical & Experimental Ophthalmology, 2020, 48(2): 220-229.