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Automated retinal vessel recognition and measurements on large datasets., , , , , , , , and . EMBC, page 5239-5242. IEEE, (2015)Automated retinal image quality assessment on the UK Biobank dataset for epidemiological studies., , , , , , , and . Comput. Biol. Medicine, (2016)A Model Based Approach for Vessel Caliber Measurement in Retinal Images., , , , , , and . SITIS, page 129-136. IEEE Computer Society, (2012)Blood vessel segmentation methodologies in retinal images - A survey., , , , , , and . Comput. Methods Programs Biomed., 108 (1): 407-433 (2012)Automated arteriole and venule classification using deep learning for retinal images from the UK Biobank cohort., , , , , , and . Comput. Biol. Medicine, (2017)Microaneurysm detection in retinal images using an ensemble classifier., , , , , and . IPTA, page 1-6. IEEE, (2016)Automated quantification of retinal vessel morphometry in the UK biobank cohort., , , , , , , , , and 1 other author(s). IPTA, page 1-6. IEEE, (2017)Delineation of blood vessels in pediatric retinal images using decision trees-based ensemble classification., , , and . Int. J. Comput. Assist. Radiol. Surg., 9 (5): 795-811 (2014)QUARTZ: Quantitative Analysis of Retinal Vessel Topology and size - An automated system for quantification of retinal vessels morphology., , , , , and . Expert Syst. Appl., 42 (20): 7221-7234 (2015)Retinal Vessel Extraction Using First-Order Derivative of Gaussian and Morphological Processing., , , , , , and . ISVC (1), volume 6938 of Lecture Notes in Computer Science, page 410-420. Springer, (2011)