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Quantification of blood vessel calibre in retinal images of multi-ethnic school children using a model based approach.

, , , , , , and . Comput. Medical Imaging Graph., 37 (1): 48-60 (2013)

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Quantification of blood vessel calibre in retinal images of multi-ethnic school children using a model based approach., , , , , , and . Comput. Medical Imaging Graph., 37 (1): 48-60 (2013)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)Automated retinal vessel recognition and measurements on large datasets., , , , , , , , and . EMBC, page 5239-5242. IEEE, (2015)Automated arteriole and venule classification using deep learning for retinal images from the UK Biobank cohort., , , , , , and . Comput. Biol. Medicine, (2017)Automated quantification of retinal vessel morphometry in the UK biobank cohort., , , , , , , , , and 1 other author(s). IPTA, page 1-6. IEEE, (2017)Secretory phospholipase A(2)-IIA and cardiovascular disease: a mendelian randomization study, , , , , , , , , and 103 other author(s). Journal of the American College of Cardiology, 62 (21): 1966–1976 (2013)