Ruth Hogg

The Queen's University Belfast

United Kingdom

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Articles (30)

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2025

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Collaborators (22)

Michael Donnelly

UNITED KINGDOM

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Ping Zhang

Ohio State University

UNITED STATES

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Abraham Olvera-Barrios

University College London

UNITED KINGDOM

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David Wright

The Queen's University Belfast

UNITED KINGDOM

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Adnan Tufail

University College London

UNITED KINGDOM

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Craig Ramsay

University of Aberdeen

UNITED KINGDOM

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Bernadette McGuinness

The Queen's University Belfast

UNITED KINGDOM

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Paul Foster

Professor of Ophthalmic Epidemiology & Glaucoma Studies

University College London

UNITED KINGDOM

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Tianjing Li

Associate Professor

University of Colorado Anschutz Medical Campus

UNITED STATES

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Feng He

Singapore Eye Research Institute

SINGAPORE

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Gareth McKay

Reader

The Queen's University Belfast

UNITED KINGDOM

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Kathryn Ruth Banister

University of Aberdeen

UNITED KINGDOM

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Neeraj Dhaun

University of Edinburgh

UNITED KINGDOM

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Alexander Doney

Academic, Clinical Reader (Teaching and Research)

University of Dundee

UNITED KINGDOM

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Roxanne Crosby-Nwaobi

University College London

UNITED KINGDOM

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Lajos Csincsik

The Queen's University Belfast

UNITED KINGDOM

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Jennifer Evans

Associate Professor

London School of Hygiene & Tropical Medicine

UNITED KINGDOM

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Emanuele Trucco

Academic, Professor

University of Dundee

UNITED KINGDOM

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Sean R O'Connor

The Queen's University Belfast

UNITED KINGDOM

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Jayne Woodside

The Queen's University Belfast

UNITED KINGDOM

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Yukun Zhou

University College London

UNITED KINGDOM

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Sobha Sivaprasad

University College London

UNITED KINGDOM

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Ruth Hogg

Research Interests

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Articles (30)

Adherence to Usability and Accessibility Principles in Digital Health Applications for Patients With Diabetes: Systematic Review

A deep learning system for detecting silent brain infarction and predicting stroke risk

Non-invasive biopsy diagnosis of diabetic kidney disease via deep learning applied to retinal images: a population-based study

Machine learning derived retinal pigment score from ophthalmic imaging shows ethnicity is not biology

Impact of Polygenic Risk Scores on Retinal Microstructures in Early and Intermediate Age-related Macular Degeneration: the Northern Ireland Sensory Aging Study

Correction: Polygenic Risk Score Impact on Visual Function in Older Individuals with Healthy Macula: The Northern Ireland Sensory Ageing Study

Polygenic Risk Score Impact on Visual Function in Older Individuals with Healthy Macula: The Northern Ireland Sensory Ageing Study

Autoencoder-based phenotyping of ophthalmic images highlights genetic loci influencing retinal morphology and provides informative biomarkers

The Association of Urinary Sodium Excretion with Glaucoma and Related Traits in a Large United Kingdom Population

The double layer sign is highly predictive of progression to exudation in age-related macular degeneration

Subscapular skinfold thickness, not other anthropometric and dual-energy X-ray absorptiometry-measured adiposity, is positively associated with the presence of age-related macular degeneration: a cross-sectional study from National Health and Nutrition Examination Survey 2005–2006

Home-monitoring for neovascular age-related macular degeneration in older adults within the UK: the MONARCH diagnostic accuracy study

Choroidal vascularity in chronic central serous chorioretinopathy and its association with risk single-nucleotide polymorphisms

Home-monitoring vision tests to detect active neovascular age-related macular degeneration

Descriptive study of the challenges when implementing an app for patients with neovascular age-related macular degeneration to monitor their vision at home

Inequalities in uptake and use of digital applications for home-monitoring of neovascular age-related macular degeneration in an elderly visually impaired population: the MONARCH Study

‘Assessing patients’ perception of the potential utility of visual function home monitoring app among patients with diabetes in Saudi Arabia’

Northern Ireland cohort for the longitudinal study of ageing (NICOLA): health assessment protocol, participant profile and patterns of participation

TFOS Lifestyle - Evidence quality report: Advancing the evaluation and synthesis of research evidence.

Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes

TFOS Lifestyle: Impact of elective medications and procedures on the ocular surface

Identifying important questions for Cochrane systematic reviews in Eyes and Vision: report of a priority setting exercise

A foundation model for generalizable disease detection from retinal images

Retest variability and patient reliability indices of quantitative fundus autofluorescence in age-related macular degeneration: a MACUSTAR study report

Assessment of the Classification of Age-Related Macular Degeneration Severity from the Northern Ireland Sensory Ageing Study Using a Measure of Dark Adaptation

Prevalence and risk factors for age-related macular degeneration in a population-based cohort study of older adults in Northern Ireland using multimodal imaging: NICOLA Study

Comparability of automated drusen volume measurements in age-related macular degeneration: a MACUSTAR study report

Relative ellipsoid zone reflectivity and its association with disease severity in age-related macular degeneration: a MACUSTAR study report

Association of lipid-lowering drugs and antidiabetic drugs with age-related macular degeneration: a meta-analysis in Europeans

Early detection of neovascular age-related macular degeneration

Collaborators (22)

Michael Donnelly

Ping Zhang

Abraham Olvera-Barrios

David Wright

Adnan Tufail

Craig Ramsay

Bernadette McGuinness

Paul Foster

Tianjing Li

Feng He

Gareth McKay

Kathryn Ruth Banister

Neeraj Dhaun

Alexander Doney

Roxanne Crosby-Nwaobi

Lajos Csincsik

Jennifer Evans

Emanuele Trucco

Sean R O'Connor

Jayne Woodside

Yukun Zhou

Sobha Sivaprasad

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