| 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 | 272 | 2019 |
| A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisability SM Khan, X Liu, S Nath, E Korot, L Faes, SK Wagner, PA Keane, ... The Lancet Digital Health 3 (1), e51-e66, 2021 | 259 | 2021 |
| 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 | 182 | 2020 |
| 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 | 142 | 2021 |
| Predicting sex from retinal fundus photographs using automated deep learning E Korot, N Pontikos, X Liu, SK Wagner, L Faes, J Huemer, K Balaskas, ... Scientific reports 11 (1), 10286, 2021 | 111 | 2021 |
| New meaning for NLP: the trials and tribulations of natural language processing with GPT-3 in ophthalmology S Nath, A Marie, S Ellershaw, E Korot, PA Keane British Journal of Ophthalmology 106 (7), 889-892, 2022 | 100 | 2022 |
| 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 | 98 | 2021 |
| Retinal optical coherence tomography features associated with incident and prevalent Parkinson disease SK Wagner, D Romero-Bascones, M Cortina-Borja, DJ Williamson, ... Neurology 101 (16), e1581-e1593, 2023 | 36 | 2023 |
| A renaissance of teleophthalmology through artificial intelligence E Korot, E Wood, A Weiner, DA Sim, M Trese Eye 33 (6), 861-863, 2019 | 35 | 2019 |
| 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 |
| Will AI replace ophthalmologists? E Korot, SK Wagner, L Faes, X Liu, J Huemer, D Ferraz, PA Keane, ... Translational vision science & technology 9 (2), 2-2, 2020 | 34 | 2020 |
| STEM CELL THERAPIES, GENE-BASED THERAPIES, OPTOGENETICS, AND RETINAL PROSTHETICS:: Current State and Implications for the Future EH Wood, PH Tang, I De la Huerta, E Korot, S Muscat, DA Palanker, ... Retina 39 (5), 820-835, 2019 | 34 | 2019 |
| Algorithm for the measure of vitreous hyperreflective foci in optical coherence tomographic scans of patients with diabetic macular edema E Korot, G Comer, T Steffens, DA Antonetti JAMA ophthalmology 134 (1), 15-20, 2016 | 30 | 2016 |
| Automated deep learning in ophthalmology: AI that can build AI C O’Byrne, A Abbas, E Korot, PA Keane Current Opinion in Ophthalmology 32 (5), 406-412, 2021 | 27 | 2021 |
| 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 |
| A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisability. Lancet Digital Health. 2020 SM Khan, X Liu, S Nath, E Korot, L Faes, SK Wagner, PA Keane, ... Mester V, Morris R, Witherspoon CD. The Ocular Trauma Score (OTS …, 2002 | 15 | 2002 |
| Democratizing artificial intelligence imaging analysis with automated machine learning: tutorial AJ Thirunavukarasu, K Elangovan, L Gutierrez, Y Li, I Tan, PA Keane, ... Journal of Medical Internet Research 25, e49949, 2023 | 14* | 2023 |
| 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 | 13 | 2022 |
| Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study. Lancet Digit Health. 2019; 1 (5 … L Faes, SK Wagner, DJ Fu, X Liu, E Korot, JR Ledsam, T Back, R Chopra, ... Epub 2019/09/01. https://doi. org/10.1016/S2589-7500 (19) 30108-6 PMID: 33323271, 0 | 11 | |
| Re-evaluating diabetic papillopathy using optical coherence tomography and inner retinal sublayer analysis J Huemer, H Khalid, D Ferraz, L Faes, E Korot, N Jurkute, K Balaskas, ... Eye 36 (7), 1476-1485, 2022 | 10 | 2022 |
Pearse KeaneUKRI Future Leaders Fellow / University College London / Moorfields Eye HospitalVerified email at ucl.ac.uk
