R. Struyven

发表

AutoMorph: Automated Retinal Vascular Morphology Quantification Via a Deep Learning Pipeline

Daniel C. Alexander, P. Keane, S. Wagner, 2022, medRxiv.

Evaluating an automated machine learning model that predicts visual acuity outcomes in patients with neovascular age-related macular degeneration

P. Keane, Gabriella Moraes, S. Wagner, 2022, Graefe's Archive for Clinical and Experimental Ophthalmology.

Machine-learning and Automatically Segmented Retinal Biomarkers Generate Spatial Heatmaps Predictive for Standard and Low Luminance Visual Acuity in Geographic Atrophy

P. Keane, L. Faes, S. Wagner, 2022 .

Clinically relevant deep learning for detection and quantification of geographic atrophy from optical coherence tomography: a model development and external validation study.

P. Keane, L. Faes, S. Wagner, 2021, The Lancet. Digital health.

Prediction of visual function from automatically quantified optical coherence tomography biomarkers in patients with geographic atrophy using machine learning

L. Faes, S. Wagner, D. J. Fu, 2022, Scientific Reports.

Enablers and Barriers to Deployment of Smartphone-Based Home Vision Monitoring in Clinical Practice Settings

P. Keane, S. Wagner, D. J. Fu, 2021, JAMA ophthalmology.

Automated Measurements of Key Morphological Features of Human Embryos for IVF

B. D. Leahy, W.-D. Jang, H. Y. Yang, 2020, MICCAI.

AlzEye: longitudinal record-level linkage of ophthalmic imaging and hospital admissions of 353 157 patients in London, UK

Daniel C. Alexander, Steffen E. Petersen, P. Keane, 2022, BMJ Open.

Clinician-driven artificial intelligence in ophthalmology: resources enabling democratization

P. Keane, S. Wagner, Edward Korot, 2021, Current opinion in ophthalmology.

Association Between Retinal Features From Multimodal Imaging and Schizophrenia.

Daniel C. Alexander, P. Keane, E. Trucco, 2023, JAMA psychiatry.

Development and international validation of custom-engineered and code-free deep-learning models for detection of plus disease in retinopathy of prematurity: a retrospective study

P. Keane, L. Faes, S. Wagner, 2023, The Lancet. Digital health.

Determinants of non-attendance at face-to-face and telemedicine ophthalmic consultations

P. Keane, Josef Huemer, S. Wagner, 2023, The British journal of ophthalmology.

Retinal Optical Coherence Tomography Features Associated With Incident and Prevalent Parkinson Disease

P. Keane, R. Weil, S. Wagner, 2023, Neurology.

White matter mean diffusivity correlates with myelination in tuberous sclerosis complex

Onur Afacan, Benoit Scherrer, Maxime Taquet, 2019, Annals of clinical and translational neurology.

Automated Deep Learning for Medical Imaging

Laxmi Raja, Pearse A. Keane, Edward Korot, 2021, Artificial Intelligence in Medicine.

A foundation model for generalizable disease detection from retinal images

S. Sivaprasad, V. Vitart, D. Garway-Heath, 2023, Nature.

Artificial Intelligence to Facilitate Clinical Trial Recruitment in Age-Related Macular Degeneration

Reena Chopra, S. Wagner, Zhichao Wu, 2024, medRxiv.

Periodontitis and Outer Retinal Thickness: a Cross-Sectional Analysis of the United Kingdom Biobank Cohort

S. Sivaprasad, V. Vitart, Josef Huemer, 2024, Ophthalmology science.