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Self-training adversarial learning for cross-domain retinal OCT fluid segmentation., , , , , и . Comput. Biol. Medicine, (марта 2023)Multi-scale Self-supervised Learning for Multi-site Pediatric Brain MR Image Segmentation with Motion/Gibbs Artifacts., , , , , и . MLMI@MICCAI, том 12966 из Lecture Notes in Computer Science, стр. 171-179. Springer, (2021)New Predefined-Time Stability Theorem and Applications to the Fuzzy Stochastic Memristive Neural Networks with Impulsive Effects., , , , , и . ICONIP (2), том 14448 из Lecture Notes in Computer Science, стр. 275-289. Springer, (2023)Adaptive-Guided-Coupling-Probability Level Set for Retinal Layer Segmentation., , , , , , и . IEEE J. Biomed. Health Informatics, 24 (11): 3236-3247 (2020)Edge-Guided Semi-Coupled Dictionary Learning Super Resolution for Retina Image., , , и . ISBI, стр. 1631-1634. IEEE, (2019)A Multi-Scale Deep Convolutional Neural Network For Joint Segmentation And Prediction Of Geographic Atrophy In SD-OCT Images., , , , , и . ISBI, стр. 565-568. IEEE, (2019)EDLRDPL_Net: A New Deep Dictionary Learning Network for SAR Image Classification., , , , и . IEEE Signal Process. Lett., (2024)A novel active contour model based on features for image segmentation., и . Pattern Recognit., (2024)Coarse-to-fine online latent representations matching for one-stage domain adaptive semantic segmentation., , , и . Pattern Recognit., (февраля 2024)Weakly Supervised Retinal Detachment Segmentation Using Deep Feature Propagation Learning in SD-OCT Images., , , и . OMIA@MICCAI, том 12069 из Lecture Notes in Computer Science, стр. 146-154. Springer, (2020)