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Ahmed E. Fetit
University of Dundee
2Publications
Publications 2
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#1Ahmed E. Fetit (Dund.: University of Dundee)
#2Alex S. F. Doney (Dund.: University of Dundee)H-Index: 52
Last.Emanuele Trucco (Dund.: University of Dundee)H-Index: 33
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Cardiovascular diseases are a public health concern; they remain the leading cause of morbidity and mortality in patients with type 2 diabetes. Phenotypic information available from retinal fundus images and clinical measurements, in addition to genomic data, can identify relevant biomarkers of cardiovascular health. In this study, we assessed whether such biomarkers stratified risks of major adverse cardiac events (MACE). A retrospective analysis was carried out on an extract from the Tayside G...
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Sep 9, 2017 in MICCAI (Medical Image Computing and Computer-Assisted Intervention)
#1Ahmed E. Fetit (Dund.: University of Dundee)
#2Siyamalan Manivannan (Dund.: University of Dundee)H-Index: 7
Last.Emanuele Trucco (Dund.: University of Dundee)H-Index: 33
view all 12 authors...
Dementia is a devastating disease, and has severe implications on affected individuals, their family and wider society. A growing body of literature is studying the association of retinal microvasculature measurement with dementia. We present a pilot study testing the strength of groups of conventional (semantic) and texture-based (non-semantic) measurements extracted from retinal fundus camera images to classify patients with and without dementia. We performed a 500-trial bootstrap analysis wit...
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