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Edward Korot
Edward Korot
Verified email at stanford.edu
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Cited by
Year
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
2432019
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
1932021
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
1352020
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
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
862021
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
792021
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
652022
A renaissance of teleophthalmology through artificial intelligence
E Korot, E Wood, A Weiner, DA Sim, M Trese
Eye 33 (6), 861-863, 2019
322019
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
312019
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
302016
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
282020
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
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
262021
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
172022
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
132023
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, ...
13
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
92021
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
9
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
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
82022
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