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R.A. Welikala
Kingston University
RetinalClassifier (linguistics)PopulationComputer visionComputer science
18Publications
6H-index
176Citations
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Publications 20
Newest
#1Max YatesH-Index: 8
#2R.A. Welikala (KUL: Kingston University)H-Index: 6
Last. Paul J. Foster (UCL Institute of Ophthalmology)H-Index: 64
view all 14 authors...
Both polymyalgia rheumatica (PMR) and giant cell arteritis (GCA) have been associated with an increased future risk of cardiovascular disease (CVD).1 However, it remains uncertain whether this is a consequence of inflammatory disease or relates to a common underlying mechanism. Retinal vascular images are a sensitive measures of vascular health, which are emerging as important biomarkers of future cardiovascular risk with changes affecting arterioles and venules.2 In this study, we assess whethe...
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#1Robyn J. Tapp (University of Melbourne)H-Index: 28
#2Christopher G. Owen (St George's, University of London)H-Index: 45
view all 9 authors...
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#1Robyn J. TappH-Index: 28
#2Christopher G. OwenH-Index: 45
Last. Alicja R. RudnickaH-Index: 43
view all 8 authors...
To examine the baseline associations of retinal vessel morphometry with blood pressure (BP) and arterial stiffness in United Kingdom Biobank. The United Kingdom Biobank included 68 550 participants...
#1Max Yates (UEA: University of East Anglia)H-Index: 8
#2Tunde Peto ('QUB': Queen's University Belfast)H-Index: 75
Last. Paul J. Foster (UCL: University College London)H-Index: 64
view all 15 authors...
Background Vascular risk factors are implicated in the aetiology of polymyalgia rheumatica (PMR) but lack sensitivity as a screening tool to assess risk of future disease or disease progression. Retinal vascular measures from digital images of the retinal fundus provide a direct objective measure of vascular health and have potential value in estimating future disease risk. Objectives The aim of this study was to determine if quantitative changes on retinal vasculometric imaging could be detecte...
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#1Sarah Barman (KUL: Kingston University)H-Index: 27
#2R.A. Welikala (KUL: Kingston University)H-Index: 6
Last. Christopher G. Owen (St George's, University of London)H-Index: 45
view all 4 authors...
Abstract Causes and effects of differences in image quality with respect to retinal fundus camera images are described. Examples of applications including diabetic retinopathy screening and epidemiology studies are given that demonstrate how assessment of image quality is linked closely to the clinical application in which the images are used. An overview of work in the field is given which covers image quality assessment algorithms, datasets and evaluation metrics. Finally, a selection of image...
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#1Christopher G. Owen (St George's, University of London)H-Index: 45
#2Alicja R. Rudnicka (St George's, University of London)H-Index: 43
Last. Paul J. Foster (UCL Institute of Ophthalmology)H-Index: 64
view all 11 authors...
Purpose To examine associations between retinal vessel morphometry and cardiometabolic risk factors in older British men and women. Design Retinal imaging examination as part of the European Prospective Investigation into Cancer—Norfolk Eye Study. Participants Retinal imaging and clinical assessments were carried out in 7411 participants. Retinal images were analyzed using a fully automated validated computerized system that provides novel measures of vessel morphometry. Methods Associations bet...
4 CitationsSource
Nov 1, 2017 in ICIP (International Conference on Image Processing)
#1R.A. Welikala (KUL: Kingston University)H-Index: 6
#2Muhammad Moazam Fraz (National University of Sciences and Technology)H-Index: 14
Last. Sarah Barman (KUL: Kingston University)H-Index: 27
view all 11 authors...
The morphometric characteristics of the retinal vascular network have been associated with risk markers of many systemic and vascular diseases. However, analysis of data from large population based studies is needed to help resolve uncertainties in these associations. QUARTZ (QUantitative Analysis of Retinal vessel Topology and siZe) is a fully automated retinal image analysis system that has been designed to process large numbers of retinal images and obtains quantitative measures of vessel mor...
1 CitationsSource
#1R.A. Welikala (KUL: Kingston University)H-Index: 6
#2Paul J. Foster (UCL Institute of Ophthalmology)H-Index: 64
Last. Sarah Barman (KUL: Kingston University)H-Index: 27
view all 7 authors...
The morphometric characteristics of the retinal vasculature are associated with future risk of many systemic and vascular diseases. However, analysis of data from large population based studies is needed to help resolve uncertainties in some of these associations. This requires automated systems that extract quantitative measures of vessel morphology from large numbers of retinal images. Associations between retinal vessel morphology and disease precursors/outcomes may be similar or opposing for...
16 CitationsSource
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#1M.M. Habib (KUL: Kingston University)H-Index: 2
#2R.A. Welikala (KUL: Kingston University)H-Index: 6
Last. Sarah Barman (KUL: Kingston University)H-Index: 27
view all 6 authors...
Abstract This paper introduces, and reports on the performance of, a novel combination of algorithms for automated microaneurysm (MA) detection in retinal images. The presence of MAs in retinal images is a pathognomonic sign of Diabetic Retinopathy (DR) which is one of the leading causes of blindness amongst the working age population. An extensive survey of the literature is presented and current techniques in the field are summarised. The proposed technique first detects an initial set of cand...
4 CitationsSource
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