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 | 120 | 2021 |
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 | 54 | 2021 |
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 | 27 | 2022 |
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 | 12 | 2022 |
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 | 11 | 2022 |
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 | 9 | 2022 |
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 | 6 | 2023 |
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 | 3 | 2022 |
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 | 3 | 2020 |
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 | 3 | 2020 |
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 | 2 | 2024 |
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 | 1 | 2020 |
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 |