Automated retinal image quality assessment on the UK Biobank dataset for epidemiological studies

[1]  Muhammad Moazam Fraz,et al.  QUARTZ: Quantitative Analysis of Retinal Vessel Topology and size - An automated system for quantification of retinal vessels morphology , 2015, Expert Syst. Appl..

[2]  Muhammad Moazam Fraz,et al.  Automated retinal vessel recognition and measurements on large datasets , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[3]  Cathie Sudlow,et al.  Suitability of UK Biobank Retinal Images for Automatic Analysis of Morphometric Properties of the Vasculature , 2015, PloS one.

[4]  Luís Alberto da Silva Cruz,et al.  Retinal image quality assessment using generic image quality indicators , 2014, Inf. Fusion.

[5]  Muhammad Moazam Fraz,et al.  Automated arteriole and venule recognition in retinal images using Ensemble classification , 2014, 2014 International Conference on Computer Vision Theory and Applications (VISAPP).

[6]  Dinesh Kumar,et al.  Validating retinal fundus image analysis algorithms: issues and a proposal. , 2013, Investigative ophthalmology & visual science.

[7]  Kotagiri Ramamohanarao,et al.  An effective retinal blood vessel segmentation method using multi-scale line detection , 2013, Pattern Recognit..

[8]  P. Bankhead,et al.  Fast Retinal Vessel Detection and Measurement Using Wavelets and Edge Location Refinement , 2012, PloS one.

[9]  Andrew Hunter,et al.  An automated retinal image quality grading algorithm , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[10]  Andrea Giachetti,et al.  VAMPIRE: Vessel assessment and measurement platform for images of the REtina , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[11]  D. Cook,et al.  Retinal Arteriolar Tortuosity and Cardiovascular Risk Factors in a Multi-Ethnic Population Study of 10-Year-Old Children; the Child Heart and Health Study in England (CHASE) , 2011, Arteriosclerosis, thrombosis, and vascular biology.

[12]  Jorge Novo,et al.  Sirius: A web-based system for retinal image analysis , 2010, Int. J. Medical Informatics.

[13]  Joachim Hornegger,et al.  Automated quality assessment of retinal fundus photos , 2010, International Journal of Computer Assisted Radiology and Surgery.

[14]  Paul Mitchell,et al.  BMI and Retinal Vascular Caliber in Children , 2007, Obesity.

[15]  Bram van Ginneken,et al.  Image structure clustering for image quality verification of color retina images in diabetic retinopathy screening , 2006, Medical Image Anal..

[16]  R. Klein,et al.  Retinal vascular caliber, cardiovascular risk factors, and inflammation: the multi-ethnic study of atherosclerosis (MESA). , 2006, Investigative ophthalmology & visual science.

[17]  J. Olson,et al.  Automated assessment of diabetic retinal image quality based on clarity and field definition. , 2006, Investigative ophthalmology & visual science.

[18]  R. Klein,et al.  Retinal arteriolar narrowing and risk of coronary heart disease in men and women. The Atherosclerosis Risk in Communities Study. , 2002, JAMA.

[19]  Tong Zhang An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods , 2001, AI Mag..

[20]  Yiming Wang,et al.  Automatic retinal image quality assessment and enhancement , 1999, Medical Imaging.

[21]  B. Boser,et al.  A training algorithm for optimal margin classifiers , 1992, COLT '92.

[22]  Zicheng Guo,et al.  Parallel thinning with two-subiteration algorithms , 1989, Commun. ACM.

[23]  J. Billeter Long term Conditions Compendium of Information , 2013 .

[24]  M. Sonka,et al.  Retinal Imaging and Image Analysis. , 2010, IEEE transactions on medical imaging.

[25]  K. W. Tobin,et al.  Elliptical local vessel density: A fast and robust quality metric for retinal images , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[26]  Chih-Jen Lin,et al.  A Practical Guide to Support Vector Classication , 2008 .

[27]  Neil M Bressler,et al.  Retinal arteriolar narrowing and risk of coronary heart disease. , 2003, Archives of ophthalmology.

[28]  Langis Gagnon,et al.  Automatic visual quality assessment in optical fundus images , 2001 .