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Self-training adversarial learning for cross-domain retinal OCT fluid segmentation., , , , , и . Comput. Biol. Medicine, (марта 2023)Spatial-contextual variational autoencoder with attention correction for anomaly detection in retinal OCT images., , , , , , и . Comput. Biol. Medicine, (2023)A novel time series prediction method based on pooling compressed sensing echo state network and its application in stock market., , , , , и . Neural Networks, (июля 2023)Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection., , , , и . CoRR, (2022)Predefined-Time Stability/Synchronization of Coupled Memristive Neural Networks With Multi-Links and Application in Secure Communication., , , , , , и . Frontiers Neurorobotics, (2021)Adaptive-Guided-Coupling-Probability Level Set for Retinal Layer Segmentation., , , , , , и . IEEE J. Biomed. Health Informatics, 24 (11): 3236-3247 (2020)Automated 3-D Retinal Layer Segmentation From SD-OCT Images With Neurosensory Retinal Detachment., , , , , , , , и . IEEE Access, (2019)Three-dimensional (3D) facial recognition and prediction., , , и . Signal Image Video Process., 10 (6): 1151-1158 (2016)Rapid construction of 4D high-quality microstructural image for cement hydration using partial information registration., , , , , и . Pattern Recognit., (2022)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)