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Applications of Artificial Intelligence in the Screening of Glaucoma in China.

, , and . J. Medical Syst., 44 (7): 124 (2020)

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Semi-Supervised Learning with Out-of-Distribution Unlabeled Samples for Retinal Image Classification., , , , , and . ISBI, page 1-5. IEEE, (2023)PKRT-Net: Prior knowledge-based relation transformer network for optic cup and disc segmentation., , , , and . Neurocomputing, (June 2023)Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning., , , , , , , and . MICCAI (1), volume 12261 of Lecture Notes in Computer Science, page 731-740. Springer, (2020)VisionFM: a Multi-Modal Multi-Task Vision Foundation Model for Generalist Ophthalmic Artificial Intelligence., , , , , , , , , and 32 other author(s). CoRR, (2023)Adaptive enhancement of cataractous retinal images for contrast standardization., , , , , and . Medical Biol. Eng. Comput., 62 (2): 357-369 (February 2024)Difficulty-Aware Glaucoma Classification with Multi-rater Consensus Modeling., , , , , , and . MICCAI (1), volume 12261 of Lecture Notes in Computer Science, page 741-750. Springer, (2020)MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification., , , , , , , , and . MICCAI (8), volume 12908 of Lecture Notes in Computer Science, page 45-54. Springer, (2021)Local-Global Dual Perception Based Deep Multiple Instance Learning for Retinal Disease Classification., , , , , , , and . MICCAI (8), volume 12908 of Lecture Notes in Computer Science, page 55-64. Springer, (2021)Anomaly Detection for Medical Images Using Heterogeneous Auto-Encoder., , , , , and . IEEE Trans. Image Process., (2024)Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling., , , , , , , , , and . CVPR, page 12341-12351. Computer Vision Foundation / IEEE, (2021)