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An Automated Method for Retinal Image Matching using Vascular Features., , , and . BIOSIGNALS, page 342-347. SciTePress, (2011)Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic study., , , , , , , , , and 7 other author(s). npj Digit. Medicine, (2019)Deep learning system to predict the 5-year risk of high myopia using fundus imaging in children., , , , , , , , , and 3 other author(s). npj Digit. Medicine, (2023)Vessel Segmentation from Color Retinal Images with Varying Contrast and Central Reflex Properties., , , , and . DICTA, page 184-189. IEEE Computer Society, (2010)Efficient optic cup localization based on superpixel classification for glaucoma diagnosis in digital fundus images., , , , , , , , and . ICPR, page 49-52. IEEE Computer Society, (2012)Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case Study., , , , , , and . AAAI, page 9510-9515. AAAI Press, (2019)Automatic Feature Learning for Glaucoma Detection Based on Deep Learning., , , , , and . MICCAI (3), volume 9351 of Lecture Notes in Computer Science, page 669-677. Springer, (2015)THALIA - An automatic hierarchical analysis system to detect drusen lesion images for amd assessment., , , , , , , and . ISBI, page 884-887. IEEE, (2013)Efficient Optic Cup Detection from Intra-image Learning with Retinal Structure Priors., , , , , , and . MICCAI (1), volume 7510 of Lecture Notes in Computer Science, page 58-65. Springer, (2012)Automatic detection of retinal vascular landmark features for colour fundus image matching and patient longitudinal study., , , , , and . ICIP, page 616-620. IEEE, (2013)