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Gongyu Zhang
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Code-free deep learning for multi-modality medical image classification
E Korot, Z Guan, D Ferraz, SK Wagner, G Zhang, X Liu, L Faes, ...
Nature Machine Intelligence 3 (4), 288-298, 2021
1122021
Clinically relevant deep learning for detection and quantification of geographic atrophy from optical coherence tomography: a model development and external validation study
G Zhang, DJ Fu, B Liefers, L Faes, S Glinton, S Wagner, R Struyven, ...
The Lancet Digital Health 3 (10), e665-e675, 2021
502021
Enablers and barriers to deployment of smartphone-based home vision monitoring in clinical practice settings
E Korot, N Pontikos, FM Drawnel, A Jaber, DJ Fu, G Zhang, MA Miranda, ...
JAMA ophthalmology 140 (2), 153-160, 2022
262022
Prediction of visual function from automatically quantified optical coherence tomography biomarkers in patients with geographic atrophy using machine learning
K Balaskas, S Glinton, TDL Keenan, L Faes, B Liefers, G Zhang, ...
Scientific reports 12 (1), 15565, 2022
112022
Phenotyping of ABCA4 retinopathy by machine learning analysis of full-field electroretinography
SL Glinton, A Calcagni, W Lilaonitkul, N Pontikos, S Vermeirsch, G Zhang, ...
Translational Vision Science & Technology 11 (9), 34-34, 2022
92022
Reinforcement learning in ophthalmology: potential applications and challenges to implementation
S Nath, E Korot, DJ Fu, G Zhang, K Mishra, AY Lee, PA Keane
The Lancet Digital Health 4 (9), e692-e697, 2022
82022
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
SK Wagner, B Liefers, M Radia, G Zhang, R Struyven, L Faes, J Than, ...
The Lancet Digital Health 5 (6), e340-e349, 2023
62023
Deep learning-based detection of Plus disease of Retinopathy of Prematurity
RRR Struyven, S Wagner, B Liefers, G Zhang, S Glinton, M Kelly, M Radia, ...
Investigative Ophthalmology & Visual Science 63 (7), 212–F0059-212–F0059, 2022
32022
Automated machine learning model for fundus photo gradeability and laterality: A public ML research toolkit sans-coding
S Wagner, E Korot, H Khalid, T Heeren, D Ferraz, Z Guan, G Zhang, ...
Investigative Ophthalmology & Visual Science 61 (7), 2029-2029, 2020
32020
Deep-learning automated quantification of longitudinal OCT scans demonstrates reduced RPE loss rate, preservation of intact macular area and predictive value of isolated …
DJ Fu, S Glinton, V Lipkova, L Faes, B Liefers, G Zhang, N Pontikos, ...
British Journal of Ophthalmology 108 (4), 536-545, 2024
22024
AI building AI: deep learning detection of referable diabetic retinopathy sans-coding
E Korot, S Wagner, L Faes, DJ Fu, X Liu, D Ferraz, H Khalid, R Chopra, ...
Investigative Ophthalmology & Visual Science 61 (7), 2025-2025, 2020
22020
Optimising Treatment of Neovascular Age-related Macular Degeneration using Reinforcement Learning
G Zhang, Z Guan, E Korot, R Chopra, G Moraes, S Wagner, L Faes, DJ Fu, ...
Investigative Ophthalmology & Visual Science 61 (7), 1628-1628, 2020
12020
RetiGen: A Framework for Generalized Retinal Diagnosis Using Multi-View Fundus Images
Z Chen, G Zhang, J Huo, JN Rio, C Komninos, Y Liu, R Sparks, S Ourselin, ...
arXiv preprint arXiv:2403.15647, 2024
2024
Rethinking Low-quality Optical Flow in Unsupervised Surgical Instrument Segmentation
P Wu, Y Liu, J Huo, G Zhang, C Bergeles, R Sparks, P Dasgupta, ...
arXiv preprint arXiv:2403.10039, 2024
2024
ArcSin: Adaptive ranged cosine Similarity injected noise for Language-Driven Visual Tasks
Y Liu, X Yu, G Zhang, C Bergeles, P Dasgupta, A Granados, S Ourselin
arXiv preprint arXiv:2402.17298, 2024
2024
Uncertain Diagnostic Accuracy of Self-Monitoring Vision at Home—Reply
K Balaskas, G Zhang
JAMA ophthalmology, 2024
2024
Evaluating the Effects of C3 Inhibition on Geographic Atrophy Progression from Deep-Learning OCT Quantification: A Split-Person Study
DJ Fu, V Lipkova, B Liefers, S Glinton, L Faes, A McKeown, L Scheibler, ...
Ophthalmology and Therapy 12 (6), 3143-3158, 2023
2023
Development and external validation of a novel automatic segmentation model for detection and quantification of geographic atrophy from optical coherence tomography imaging
DJ Fu, TDL Keenan, S Glinton, L Faes, S Wagner, A McKeown, G Zhang, ...
Investigative Ophthalmology & Visual Science 63 (7), 2054–F0043-2054–F0043, 2022
2022
Machine-learning and Automatically Segmented Retinal Biomarkers Generate Spatial Heatmaps Predictive for Standard and Low Luminance Visual Acuity in Geographic Atrophy
K Balaskas, S Glinton, T Keenan, L Faes, B Liefers, G Zhang, N Pontikos, ...
2022
Machine Learning for Classification of Functional Phenotypes in Stargardt Disease from Full-Field Electroretinography
SL Glinton, A Calcagni, G Zhang, N Pontikos, W Lilaonitkul, S Patel, ...
Investigative Ophthalmology & Visual Science 62 (8), 2123-2123, 2021
2021
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