| A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis X Liu, L Faes, AU Kale, SK Wagner, DJ Fu, A Bruynseels, T Mahendiran, ... The lancet digital health 1 (6), e271-e297, 2019 | 1573 | 2019 |
| Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study L Faes, SK Wagner, DJ Fu, X Liu, E Korot, JR Ledsam, T Back, R Chopra, ... The Lancet Digital Health 1 (5), e232-e242, 2019 | 271 | 2019 |
| Insights into systemic disease through retinal imaging-based oculomics SK Wagner, DJ Fu, L Faes, X Liu, J Huemer, H Khalid, D Ferraz, E Korot, ... Translational vision science & technology 9 (2), 6-6, 2020 | 181 | 2020 |
| A clinician's guide to artificial intelligence: how to critically appraise machine learning studies L Faes, X Liu, SK Wagner, DJ Fu, K Balaskas, DA Sim, LM Bachmann, ... Translational vision science & technology 9 (2), 7-7, 2020 | 147 | 2020 |
| Keratin 9 is required for the structural integrity and terminal differentiation of the palmoplantar epidermis DJ Fu, C Thomson, DP Lunny, PJ Dopping-Hepenstal, JA McGrath, ... Journal of Investigative Dermatology 134 (3), 754-763, 2014 | 99 | 2014 |
| Quantitative analysis of OCT for neovascular age-related macular degeneration using deep learning G Moraes, DJ Fu, M Wilson, H Khalid, SK Wagner, E Korot, D Ferraz, ... Ophthalmology 128 (5), 693-705, 2021 | 97 | 2021 |
| Implementation of a cloud-based referral platform in ophthalmology: making telemedicine services a reality in eye care C Kern, DJ Fu, K Kortuem, J Huemer, D Barker, A Davis, K Balaskas, ... British Journal of Ophthalmology 104 (3), 312-317, 2020 | 96 | 2020 |
| 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 | 63 | 2021 |
| Generic and personalized RNAi-based therapeutics for a dominant-negative epidermal fragility disorder DML Pedrioli, DJ Fu, E Gonzalez-Gonzalez, CH Contag, RL Kaspar, ... Journal of investigative dermatology 132 (6), 1627-1635, 2012 | 44 | 2012 |
| 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 | 34 | 2022 |
| Predicting incremental and future visual change in neovascular age-related macular degeneration using deep learning DJ Fu, L Faes, SK Wagner, G Moraes, R Chopra, PJ Patel, K Balaskas, ... Ophthalmology Retina 5 (11), 1074-1084, 2021 | 34 | 2021 |
| Moorfields AMD database report 2: fellow eye involvement with neovascular age-related macular degeneration K Fasler, DJ Fu, G Moraes, S Wagner, E Gokhale, K Kortuem, R Chopra, ... British Journal of Ophthalmology 104 (5), 684-690, 2020 | 33 | 2020 |
| Insights from survival analyses during 12 years of anti–vascular endothelial growth factor therapy for neovascular age-related macular degeneration DJ Fu, TD Keenan, L Faes, E Lim, SK Wagner, G Moraes, J Huemer, ... JAMA ophthalmology 139 (1), 57-67, 2021 | 30 | 2021 |
| One-and two-year visual outcomes from the Moorfields age-related macular degeneration database: a retrospective cohort study and an open science resource K Fasler, G Moraes, S Wagner, KU Kortuem, R Chopra, L Faes, G Preston, ... BMJ open 9 (6), e027441, 2019 | 30 | 2019 |
| Evaluating an automated machine learning model that predicts visual acuity outcomes in patients with neovascular age-related macular degeneration A Abbas, C O’Byrne, DJ Fu, G Moraes, K Balaskas, R Struyven, S Beqiri, ... Graefe's Archive for Clinical and Experimental Ophthalmology 260 (8), 2461-2473, 2022 | 22 | 2022 |
| Phenotyping of retinal neovascularization in ischemic retinal vein occlusion using wide field OCT angiography J Huemer, H Khalid, SK Wagner, L Nicholson, DJ Fu, DA Sim, PJ Patel, ... Eye 35 (10), 2812-2819, 2021 | 21 | 2021 |
| 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 | 15 | 2022 |
| A virtual-clinic pathway for patients referred from a national diabetes eye screening programme reduces service demands whilst maintaining quality of care L Faes, DJ Fu, J Huemer, C Kern, SK Wagner, S Fasolo, R Hamilton, ... Eye 35 (8), 2260-2269, 2021 | 15 | 2021 |
| Big data simulations for capacity improvement in a general ophthalmology clinic C Kern, A König, DJ Fu, B Schworm, A Wolf, S Priglinger, KU Kortuem Graefe's Archive for Clinical and Experimental Ophthalmology 259, 1289-1296, 2021 | 15 | 2021 |
| A review of the landscape of targeted immunomodulatory therapies for non-infectious uveitis SM Sharma, DJ Fu, K Xue Ophthalmology and therapy 7, 1-17, 2018 | 15 | 2018 |
