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UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification., , , , , , , and . IEEE J. Biomed. Health Informatics, 24 (12): 3431-3442 (2020)Reference-based OCT Angiogram Super-resolution with Learnable Texture Generation., , , , , and . CoRR, (2023)Unpaired Optical Coherence Tomography Angiography Image Super-Resolution via Frequency-Aware Inverse-Consistency GAN., , , , , and . CoRR, (2023)Detecting Glaucoma Using 3D Convolutional Neural Network of Raw SD-OCT Optic Nerve Scans., , , , , , , , , and 1 other author(s). CoRR, (2019)LVCL: Label-Volume Contrastive Learning for Multi-Label Classification of Retinal Oct Volumes., , , , , and . ISBI, page 1-5. IEEE, (2023)Unifying Structure Analysis and Surrogate-Driven Function Regression for Glaucoma OCT Image Screening., , , , , , , and . MICCAI (1), volume 11764 of Lecture Notes in Computer Science, page 39-47. Springer, (2019)Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning., , , , , , , , , and . Medical Image Anal., (2020)Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images., , , , and . Medical Image Anal., (2023)Frequency-Aware Inverse-Consistent Deep Learning for OCT-Angiogram Super-Resolution., , , and . MICCAI (2), volume 13432 of Lecture Notes in Computer Science, page 645-655. Springer, (2022)