Publications
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Displaying 1 through 13 of 13 publications.
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Fleming AD, Mellor J, McGurnaghan SJ, Blackbourn LAK, Goatman KA, Styles C, Storkey AJ, McKeigue PM, Colhoun HM. Deep learning detection of diabetic retinopathy in Scotland's diabetic eye screening programme. Br J Ophthalmol. 2024 Jun 20;108(7):984-8. doi: 10.1136/bjo-2023-323395
Fan W, Uji A, Nittala M, Wykoff CC, Brown D, Fleming A, Robertson G, van Hemert J, Sadda S, Ip MS. Retinal vascular bed area on ultra-wide field fluorescein angiography indicates the severity of diabetic retinopathy. Br J Ophthalmol. 2022 Aug;106(8):1126-31. doi: 10.1136/bjophthalmol-2020-317488
Stuckey HL, Oser SM, Miller EL, Oser TK, Peyrot M, Sharma A. “Not today, diabetes”: using blog analysis to understand emotional interactions and support among people with type 1 diabetes. Front Clin Diabetes Healthc. 2021 Jan 6;1:613569. doi: 10.3389/fcdhc.2020.613569
Ashraf M, Sampani K, AbdelAl O, Fleming A, Cavallerano J, Souka A, El Baha SM, Silva PS, Sun J, Aiello LP. Disparity of microaneurysm count between ultrawide field colour imaging and ultrawide field fluorescein angiography in eyes with diabetic retinopathy. Br J Ophthalmol. 2020 Dec;104(12):1762-7. doi: 10.1136/bjophthalmol-2019-315807
Prescott G, Sharp P, Goatman K, Scotland G, Fleming A, Philip S, Staff R, Santiago C, Borooah S, Broadbent D, Chong V, Dodson P, Harding S, Leese G, Megaw R, Styles C, Swa K, Wharton H, Olson J. Improving the cost-effectiveness of photographic screening for diabetic macular oedema: a prospective, multi-centre, UK study. Br J Ophthalmol. 2014 Aug 1;98(8):1042-9. doi: 10.1136/bjophthalmol-2013-304338
Davis AE, Mehrotra S, Friedewald J, Ladner D. Characteristics of a simulation model of the national kidney transplantation system. Poster presented at the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World; December 2013. [abstract] Ieee/Acm Trans Comput Biol Bioinform. 2013 Dec; p.2320-9.
Oldenburg CE, Sy A, Srinivasan M, Toutain-Kidd CM, Mascarenhas J, Ravindran M, Rajaraman R, Esterberg EJ, Chidambaram JD, Acharya NR, Lietman TM, Zegans ME. Pre-existing blindness in a cohort of patients with bacterial keratitis. Br J Ophthalmol. 2011 Dec;95(11):1612-3. doi: 10.1136/bjophthalmol-2011-300270.
Rahman MQ, Abeysinghe SS, Kelly S, Roskell NS, Shannon PR, Abdlseaed AA, Montgomery DMI. Persistence of glaucoma medical therapy in the Glasgow Glaucoma Database. Br J Ophthalmol. 2011 Jul 1;95(7):966-70.
Fleming AD, Goatman KA, Philip S, Prescott GJ, Sharp PF, Olson JA. Automated grading for diabetic retinopathy: a large-scale audit using arbitration by clinical experts. Br J Ophthalmol. 2010 Dec 1;94(12):1606-10. doi: 10.1136/bjo.2009.176784
Fleming AD, Goatman KA, Philip S, Williams GJ, Prescott GJ, Scotland GS, McNamee P, Leese GP, Wykes WN, Sharp PF, Olson JA. The role of haemorrhage and exudate detection in automated grading of diabetic retinopathy. Br J Ophthalmol. 2010 Jun 1;94(6):706-11. doi: 10.1136/bjo.2008.149807
Scotland GS, McNamee P, Fleming AD, Goatman KA, Philip S, Prescott GJ, Sharp PF, Williams GJ, Wykes E, Leese GP, Olson JA. Costs and consequences of automated algorithms versus manual grading for the detection of referable diabetic retinopathy. Br J Ophthalmol. 2010 Jun 1;94(6):712-9. doi: 10.1136/bjo.2008.151126.
Philip S, Fleming AD, Goatman KA, Fonseca S, McNamee P, Scotland GS, Prescott GJ, Sharp PF, Olson JA. The efficacy of automated "disease/no disease" grading for diabetic retinopathy in a systematic screening programme. Br J Ophthalmol. 2007 Nov 1;91(11):1512-7. doi: 10.1136/bjo.2007.119453
Scotland GS, McNamee P, Philip S, Fleming AD, Goatman KA, Prescott GJ, Fonseca S, Sharp PF, Olson JA. Cost-effectiveness of implementing automated grading within the national screening programme for diabetic retinopathy in Scotland. Br J Ophthalmol. 2007 Nov 1;91(11):1518-23. doi: 10.1136/bjo.2007.120972