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Pearse Keane
Pearse Keane
UKRI Future Leaders Fellow / University College London / Moorfields Eye Hospital
Verified email at ucl.ac.uk
Title
Cited by
Cited by
Year
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
23392018
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis
X Liu, L Faes, AU Kale, SK Wagner, DJ Fu, A Bruynseels, T Mahendiran, ...
The lancet digital health 1 (6), e271-e297, 2019
14932019
Artificial intelligence and deep learning in ophthalmology
T DSW, P LR, P L, C JP, L AY, R R, T GSW, S L, K PA, W TY.
British Journal of Ophthalmology, 1-34, 2019
1077*2019
The lancet global health commission on global eye health: vision beyond 2020
MJ Burton, J Ramke, AP Marques, RRA Bourne, N Congdon, I Jones, ...
The Lancet Global Health 9 (4), e489-e551, 2021
9192021
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
X Liu, SC Rivera, D Moher, MJ Calvert, AK Denniston, H Ashrafian, ...
The Lancet Digital Health 2 (10), e537-e548, 2020
7702020
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
SC Rivera, X Liu, AW Chan, AK Denniston, MJ Calvert, H Ashrafian, ...
The Lancet Digital Health 2 (10), e549-e560, 2020
6472020
Deep learning in ophthalmology: the technical and clinical considerations
DSW Ting, L Peng, AV Varadarajan, PA Keane, PM Burlina, MF Chiang, ...
Progress in retinal and eye research 72, 100759, 2019
4182019
Analysis of Normal Retinal Nerve Fiber Layer Thickness by Age, Sex, and Race Using Spectral Domain Optical Coherence Tomography
T Alasil, K Wang, PA Keane, H Lee, N Baniasadi, JF de Boer, TC Chen
Journal of Glaucoma, 2012
3362012
Evaluation of age-related macular degeneration with optical coherence tomography
PA Keane, PJ Patel, S Liakopoulos, FM Heussen, SR Sadda, A Tufail
Survey of ophthalmology 57 (5), 389-414, 2012
3202012
Genome-wide association meta-analysis highlights light-induced signaling as a driver for refractive error
MS Tedja, R Wojciechowski, PG Hysi, N Eriksson, NA Furlotte, ...
Nature genetics 50 (6), 834-848, 2018
2992018
Fundus photography in the 21st century—a review of recent technological advances and their implications for worldwide healthcare
N Panwar, P Huang, J Lee, PA Keane, TS Chuan, A Richhariya, S Teoh, ...
Telemedicine and e-Health 22 (3), 198-208, 2016
2912016
Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
B Vasey, M Nagendran, B Campbell, DA Clifton, GS Collins, S Denaxas, ...
bmj 377, 2022
2862022
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
2592019
Oxford handbook of ophthalmology
A Denniston, P Murray
OUP Oxford, 2014
2502014
Genome-wide analyses identify 68 new loci associated with intraocular pressure and improve risk prediction for primary open-angle glaucoma
AP Khawaja, JN Cooke Bailey, NJ Wareham, RA Scott, M Simcoe, ...
Nature genetics 50 (6), 778-782, 2018
2482018
State of science: choroidal thickness and systemic health
KA Tan, P Gupta, A Agarwal, J Chhablani, CY Cheng, PA Keane, ...
Survey of ophthalmology 61 (5), 566-581, 2016
2452016
SPIRIT-AI and CONSORT-AI Working Group. Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
X Liu, S Cruz Rivera, D Moher, MJ Calvert, AK Denniston
Nat Med 26 (9), 1364-1374, 2020
2422020
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
2422020
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
2342021
Multitrait analysis of glaucoma identifies new risk loci and enables polygenic prediction of disease susceptibility and progression
JE Craig, X Han, A Qassim, M Hassall, JN Cooke Bailey, TG Kinzy, ...
Nature genetics 52 (2), 160-166, 2020
2342020
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