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Showing 1–6 of 6 results

Advanced filters: Author: Ranjan Rajendram Clear advanced filters

Author Correction: Physics-informed deep generative learning for quantitative assessment of the retina

Emmeline E. Brown
Andrew A. Guy
Simon Walker-Samuel
Amendments and CorrectionsOpen Access13 Feb 2025
Nature Communications

Volume: 16, P: 1
Physics-informed deep generative learning for quantitative assessment of the retina

Analysis of retinal vasculature is limited by the availability of annotated datasets. Here, the authors show a method for generating synthetic retinal vessel data which is not statistically significantly different from real clinical data.

Emmeline E. Brown
Andrew A. Guy
Simon Walker-Samuel
ResearchOpen Access10 Aug 2024
Nature Communications

Volume: 15, P: 1-14
Longitudinal follow-up of dome-shaped macula

Tomas R. Burke
Angela Ding Wu
Ranjan Rajendram
Research22 Jan 2020
Eye

Volume: 34, P: 1903-1908
Widefield imaging with Clarus fundus camera vs slit lamp fundus examination in assessing patients referred from the National Health Service diabetic retinopathy screening programme

Wei Sing Lim
Gabriela Grimaldi
Ranjan Rajendram
Research20 Oct 2020
Eye

Volume: 35, P: 299-306
Phenotyping of retinal neovascularization in ischemic retinal vein occlusion using wide field OCT angiography

Josef Huemer
Hagar Khalid
Pearse A. Keane
Research30 Nov 2020
Eye

Volume: 35, P: 2812-2819
An open-source data set of anti-VEGF therapy in diabetic macular oedema patients over 4 years and their visual acuity outcomes

Christoph Kern
Dun Jack Fu
Pearse A. Keane
Research26 Jun 2020
Eye

Volume: 35, P: 1354-1364