| 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 | 181 | 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 | 117 | 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 | 97 | 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 | 76 | 2021 |
| 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 | 55 | 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 | 47 | 2021 |
| 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 (Philadelphia, Pa.) 39 (5), 820, 2019 | 30 | 2019 |
| A renaissance of teleophthalmology through artificial intelligence E Korot, E Wood, A Weiner, DA Sim, M Trese Eye 33 (6), 861-863, 2019 | 28 | 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 | 28 | 2016 |
| 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 | 23 | 2020 |
| 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 | 16 | 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 | 13 | 2022 |
| 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 | 10 | 2022 |
| 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 | 6 | 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 | 6 | |
| The retina revolution: signaling pathway therapies, genetic therapies, mitochondrial therapies, artificial intelligence EH Wood, E Korot, PP Storey, S Muscat, GA Williams, KA Drenser Current opinion in ophthalmology 31 (3), 207-214, 2020 | 4 | 2020 |
| Use of the Avegant Glyph head-mounted virtual retinal projection display to perform vitreoretinal surgery E Korot, A Thanos, B Todorich, P Rao, MS Stem, GA Williams Journal of VitreoRetinal Diseases 2 (1), 22-25, 2018 | 4 | 2018 |
| Clinician-driven artificial intelligence in ophthalmology: resources enabling democratization E Korot, MB Gonçalves, SM Khan, R Struyven, SK Wagner, PA Keane Current Opinion in Ophthalmology 32 (5), 445-451, 2021 | 3 | 2021 |
| 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 |
| Exploring the What-If-Tool as a solution for machine learning explainability in clinical practice R Singh, A Abbas, S Beqiri, E Korot, R Struyven, P Keane Investigative Ophthalmology & Visual Science 62 (8), 79-79, 2021 | 2 | 2021 |
Pearse KeaneUKRI Future Leaders Fellow / University College London / Moorfields Eye HospitalVerified email at ucl.ac.uk
