| Clinically applicable deep learning for diagnosis and referral in retinal disease J De Fauw, JR Ledsam, B Romera-Paredes, S Nikolov, N Tomasev, ... Nature medicine 24 (9), 1342-1350, 2018 | 2584 | 2018 |
| 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 | 294 | 2019 |
| Predicting conversion to wet age-related macular degeneration using deep learning J Yim, R Chopra, T Spitz, J Winkens, A Obika, C Kelly, H Askham, M Lukic, ... Nature Medicine 26 (6), 892-899, 2020 | 276 | 2020 |
| Deep learning for predicting refractive error from retinal fundus images AV Varadarajan, R Poplin, K Blumer, C Angermueller, J Ledsam, ... Investigative ophthalmology & visual science 59 (7), 2861-2868, 2018 | 189 | 2018 |
| 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 | 109 | 2021 |
| Balance control in glaucoma A Kotecha, G Richardson, R Chopra, RTA Fahy, DF Garway-Heath, ... Investigative ophthalmology & visual science 53 (12), 7795-7801, 2012 | 84 | 2012 |
| Use of corneal confocal microscopy to evaluate small nerve fibers in patients with human immunodeficiency virus HI Kemp, IN Petropoulos, ASC Rice, J Vollert, C Maier, D Sturm, ... JAMA ophthalmology 135 (7), 795-800, 2017 | 79 | 2017 |
| Optical coherence tomography in the 2020s—outside the eye clinic R Chopra, SK Wagner, PA Keane Eye 35 (1), 236-243, 2021 | 77 | 2021 |
| Dual tasking and balance in those with central and peripheral vision loss A Kotecha, R Chopra, RTA Fahy, GS Rubin Investigative ophthalmology & visual science 54 (8), 5408-5415, 2013 | 57 | 2013 |
| Intravitreal injections: past trends and future projections within a UK tertiary hospital R Chopra, GC Preston, TDL Keenan, P Mulholland, PJ Patel, K Balaskas, ... Eye 36 (7), 1373-1378, 2022 | 55 | 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 | 41 | 2021 |
| Deep learning to detect OCT-derived diabetic macular edema from color retinal photographs: a multicenter validation study X Liu, TK Ali, P Singh, A Shah, SM McKinney, P Ruamviboonsuk, ... Ophthalmology Retina 6 (5), 398-410, 2022 | 39* | 2022 |
| Validation and clinical applicability of whole-volume automated segmentation of optical coherence tomography in retinal disease using deep learning M Wilson, R Chopra, MZ Wilson, C Cooper, P MacWilliams, Y Liu, ... JAMA ophthalmology 139 (9), 964-973, 2021 | 35 | 2021 |
| The utility of corneal nerve fractal dimension analysis in peripheral neuropathies of different etiology IN Petropoulos, A Al-Mohammedi, X Chen, M Ferdousi, G Ponirakis, ... Translational vision science & technology 9 (9), 43-43, 2020 | 33 | 2020 |
| 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 | 32 | 2020 |
| 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 | 32 | 2019 |
| Use of a binocular optical coherence tomography system to evaluate strabismus in primary position R Chopra, PJ Mulholland, VK Tailor, RS Anderson, PA Keane JAMA ophthalmology 136 (7), 811-817, 2018 | 19 | 2018 |
| In vivo confocal microscopy morphologic features and cyst density in Acanthamoeba keratitis R Chopra, PJ Mulholland, SC Hau American Journal of Ophthalmology 217, 38-48, 2020 | 18 | 2020 |
| Relationship between psychophysical measures of retinal ganglion cell density and in vivo measures of cone density in glaucoma J Matlach, PJ Mulholland, M Cilkova, R Chopra, N Shah, T Redmond, ... Ophthalmology 124 (3), 310-319, 2017 | 14 | 2017 |
| Vision-language models for feature detection of macular diseases on optical coherence tomography F Antaki, R Chopra, PA Keane JAMA ophthalmology 142 (6), 573-576, 2024 | 13 | 2024 |