Browse by UCL people
Group by: Type | Date
Number of items: 21.
2025
Merle, David A;
Guymer, Robyn H;
Chia, Mark A;
Chopra, Reena;
Williamson, Dominic J;
Struyven, Robbert R;
Jannaud, Maxime;
... Wu, Zhichao; + view all
(2025)
Mapping the impact: AI-driven quantification of geographic atrophy on OCT scans and its association with visual sensitivity loss.
British Journal of Ophthalmology
10.1136/bjo-2024-326603.
(In press).
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2024
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Antaki, Fares;
Chopra, Reena;
Keane, Pearse A;
(2024)
Vision-Language Models for Feature Detection of Macular Diseases on Optical Coherence Tomography.
JAMA Ophthalmology
10.1001/jamaophthalmol.2024.1165.
(In press).
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2023
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Matlach, Juliane;
Mulholland, Padraig;
Cilkova, Marketa;
Chopra, Reena;
Shah, Nilpa;
Redmond, Tony;
Dakin, Steven C;
... Anderson, Roger S; + view all
(2023)
Ageing changes in retinal outer nuclear layer thickness and cone photoreceptor density using adaptive optics-free imaging.
European Journal of Ophthalmology
10.1177/11206721221144477.
(In press).
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2022
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Chopra, Reena Kumari;
(2022)
Automating the eye examination using optical coherence tomography.
Doctoral thesis (Ph.D), UCL (University College London).
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Liu, X;
Ali, TK;
Singh, P;
Shah, A;
McKinney, SM;
Ruamviboonsuk, P;
Turner, AW;
... Bavishi, P; + view all
(2022)
Deep learning to detect optical coherence tomography-derived diabetic macular edema from retinal photographs: a multicenter validation study.
Ophthalmology Retina
10.1016/j.oret.2021.12.021.
(In press).
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2021
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Chopra, R;
Preston, GC;
Keenan, TDL;
Mulholland, P;
Patel, PJ;
Balaskas, K;
Hamilton, RD;
(2021)
Intravitreal injections: past trends and future projections within a UK tertiary hospital.
Eye
10.1038/s41433-021-01646-3.
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Chopra, R;
Wagner, SK;
Keane, PA;
(2021)
Optical coherence tomography in the 2020s—outside the eye clinic.
Eye
, 35
pp. 236-243.
10.1038/s41433-020-01263-6.
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Fu, DJ;
Faes, L;
Wagner, SK;
Moraes, G;
Chopra, R;
Patel, PJ;
Balaskas, K;
... Keane, PA; + view all
(2021)
Predicting Incremental and Future Visual Change in Neovascular Age-Related Macular Degeneration Using Deep Learning.
Ophthalmology Retina
, 5
(11)
pp. 1074-1084.
10.1016/j.oret.2021.01.009.
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Wilson, M;
Chopra, R;
Wilson, MZ;
Cooper, C;
MacWilliams, P;
Liu, Y;
Wulczyn, E;
... Kelly, CJ; + view all
(2021)
Validation and Clinical Applicability of Whole-Volume Automated Segmentation of Optical Coherence Tomography in Retinal Disease Using Deep Learning.
JAMA Ophthalmology
10.1001/jamaophthalmol.2021.2273.
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2020
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Arpa, C;
Khalid, H;
Chandra, S;
Wagner, S;
Fasler, K;
Faes, L;
Pooprasert, P;
... Fu, DJ; + view all
(2020)
Ten-year survival trends of neovascular age-related macular degeneration at first presentation.
British Journal of Ophthalmology
10.1136/bjophthalmol-2020-317161.
(In press).
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Chopra, R;
Mulholland, PJ;
Petzold, A;
Ogunbowale, L;
Gazzard, G;
Bremner, F;
Anderson, RS;
(2020)
Automated Pupillometry using a Prototype Binocular Optical Coherence Tomography System.
American Journal of Ophthalmology
, 214
pp. 21-31.
10.1016/j.ajo.2020.02.013.
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Moraes, G;
Fu, DJ;
Wilson, M;
Khalid, H;
Wagner, SK;
Korot, E;
Ferraz, D;
... Chopra, R; + view all
(2020)
Quantitative analysis of optical coherence tomography for neovascular age-related macular degeneration using deep learning.
Ophthalmology
10.1016/j.ophtha.2020.09.025.
(In press).
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Yim, J;
Chopra, R;
Spitz, T;
Winkens, J;
Obika, A;
Kelly, C;
Askham, H;
... De Fauw, J; + view all
(2020)
Predicting conversion to wet age-related macular degeneration using deep learning.
Nature Medicine
, 26
pp. 892-899.
10.1038/s41591-020-0867-7.
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2019
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Faes, L;
Wagner, SK;
Fu, DJ;
Liu, X;
Korot, E;
Ledsam, JR;
Back, T;
... Keane, PA; + view all
(2019)
Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study.
The Lancet Digital Health
, 1
(5)
e232-e242.
10.1016/S2589-7500(19)30108-6.
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Fasler, K;
Fu, DJ;
Moraes, G;
Wagner, S;
Gokhale, E;
Kortuem, K;
Chopra, R;
... Keane, PA; + view all
(2019)
Moorfields AMD database report 2: fellow eye involvement with neovascular age-related macular degeneration.
The British journal of ophthalmology
10.1136/bjophthalmol-2019-314446.
(In press).
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Fasler, K;
Moraes, G;
Wagner, S;
Kortuem, KU;
Chopra, R;
Faes, L;
Preston, G;
... Keane, PA; + view all
(2019)
One- and two-year visual outcomes from the Moorfields age-related macular degeneration database: a retrospective cohort study and an open science resource.
BMJ Open
, 9
(6)
, Article e027441. 10.1136/bmjopen-2018-027441.
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2018
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Chopra, R;
Mulholland, PJ;
Tailor, VK;
Anderson, RS;
Keane, PA;
(2018)
Use of a Binocular Optical Coherence Tomography System to Evaluate Strabismus in Primary Position.
JAMA Ophthalmology
, 136
(7)
pp. 811-817.
10.1001/jamaophthalmol.2018.1973.
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De Fauw, J;
Ledsam, JR;
Romera-Paredes, B;
Nikolov, S;
Tomasev, N;
Blackwell, S;
Askham, H;
... Ronneberger, O; + view all
(2018)
Clinically applicable deep learning for diagnosis and referral in retinal disease.
Nature Medicine
, 24
(9)
pp. 1342-1350.
10.1038/s41591-018-0107-6.
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Varadarajan, AV;
Poplin, R;
Blumer, K;
Angermueller, C;
Ledsam, J;
Chopra, R;
Keane, PA;
... Webster, DR; + view all
(2018)
Deep Learning for Predicting Refractive Error From Retinal Fundus Images.
Investigative Ophthalmology & Visual Science
, 59
(7)
pp. 2861-2868.
10.1167/iovs.18-23887.
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2017
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Chopra, R;
Mulholland, PJ;
Dubis, AM;
Anderson, RS;
Keane, PA;
(2017)
Human Factor and Usability Testing of a Binocular Optical Coherence Tomography System.
Translational Vision Science & Technology
, 6
, Article 16. 10.1167/tvst.6.4.16.
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Matlach, J;
Mulholland, PJ;
Cilkova, M;
Chopra, R;
Shah, N;
Redmond, T;
Dakin, SC;
... Anderson, RS; + view all
(2017)
Relationship between Psychophysical Measures of Retinal Ganglion Cell Density and In Vivo Measures of Cone Density in Glaucoma.
Ophthalmology
, 124
(3)
pp. 310-319.
10.1016/j.ophtha.2016.10.029.
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