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Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning., , , , , , , , , and 8 other author(s). CoRR, (2018)With an eye to AI and autonomous diagnosis., and . npj Digit. Medicine, (2018)A Linear Approach to Absolute Pose Estimation for Light Fields., , , , and . 3DV, page 672-681. IEEE, (2020)Learning to Address Intra-segment Misclassification in Retinal Imaging., , , , , , and . MICCAI (1), volume 12901 of Lecture Notes in Computer Science, page 482-492. Springer, (2021)Code-free deep learning for multi-modality medical image classification., , , , , , , , , and 4 other author(s). Nat. Mach. Intell., 3 (4): 288-298 (2021)VAFO-Loss: VAscular Feature Optimised Loss Function for Retinal Artery/Vein Segmentation., , , , , , , and . CoRR, (2022)Deep learning for predicting refractive error from retinal fundus images., , , , , , , , , and . CoRR, (2017)A Hybrid Machine Learning Approach Using LBP Descriptor and PCA for Age-Related Macular Degeneration Classification in OCTA Images., , , , , , , and . MIUA, volume 1065 of Communications in Computer and Information Science, page 231-241. Springer, (2019)Forecasting Future Humphrey Visual Fields Using Deep Learning., , , , , , , and . CoRR, (2018)Gabor Fusion Master Slave Optical Coherence Tomography., , , , , , , , , and . ICTON, page 1. IEEE, (2019)