Pearse Keane

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Alastair DennistonConsultant Ophthalmologist/Hon Professor, University Hospitals Birmingham/University of BirminghamDirección de correo verificada de bham.ac.uk
Siegfried WagnerUniversity College LondonDirección de correo verificada de ucl.ac.uk
Konstantinos BalaskasMoorfields Eye Hospital, UCL Institute of OphthalmologyDirección de correo verificada de nhs.net
Dawn A. SimMoorfields Eye Hospital, UCL Institute of OphthalmologyDirección de correo verificada de nhs.net
Praveen J PatelConsultant Ophthalmologist, NIHR BRC at Moorfields Eye Hospital and UCL Institute of OphthalmologyDirección de correo verificada de nhs.net
Adnan TufailMoorfields Eye Hospital & Institute of Ophthalmology UCLDirección de correo verificada de ucl.ac.uk
Srinivas SaddaDoheny Eye InstituteDirección de correo verificada de doheny.org
Cathy EganMoorfields Eye Hospital, Institute of Ophthalmology UCLDirección de correo verificada de nhs.net
Livia Faes, MSc MDCantonal Hospital Winterthur/ Moorfields Eye HospitalDirección de correo verificada de nhs.net
Xiao LiuUniversity Hospitals Birmingham, University of Birmingham, UKDirección de correo verificada de bham.ac.uk
Paul FosterProfessor of Glaucoma Studies, UCL Institute of Ophthalmology & Moorfields Eye HospitalDirección de correo verificada de ucl.ac.uk
Reena ChopraGoogle Health, UCL Institute of Ophthalmology, Moorfields Eye HospitalDirección de correo verificada de google.com
Aaron Y. LeeUniversity of WashingtonDirección de correo verificada de uw.edu
Nikolas PontikosPrincipal Investigator at UCLDirección de correo verificada de ucl.ac.uk
Javier Zarranz-VenturaConsultant, Vitreo-Retinal Unit, Institut Clínic d´Oftalmologia (ICOF), Hospital Clínic BarcelonaDirección de correo verificada de clinic.ub.es
Joseph LedsamResearch Scientist, GoogleDirección de correo verificada de google.com
Marcus FruttigerUCL Institute of OphthalmologyDirección de correo verificada de ucl.ac.uk
Daniel SW TingSingapore National Eye CenterDirección de correo verificada de singhealth.com.sg
Lucas M. Bachmannmedignition Inc.Dirección de correo verificada de medignition.ch
Karsten KortuemUniversity Eye Hospital UlmDirección de correo verificada de kortuem.de

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Pearse Keane

UKRI Future Leaders Fellow / University College London / Moorfields Eye Hospital

Dirección de correo verificada de ucl.ac.uk

Artificial Intelligence Optical Coherence Tomography Age-related macular degeneration


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	2576	2018
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	1736	2019
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	1255*	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	1190	2021
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	962	2020
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	772	2020
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	492	2019
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	407	2022
A foundation model for generalizable disease detection from retinal images Y Zhou, MA Chia, SK Wagner, MS Ayhan, DJ Williamson, RR Struyven, ... Nature 622 (7981), 156-163, 2023	360	2023
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	348	2012
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	337	2012
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	331	2018
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	310	2016
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	298	2021
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	297	2020
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	293	2019
Genome-wide meta-analysis identifies 127 open-angle glaucoma loci with consistent effect across ancestries P Gharahkhani, E Jorgenson, P Hysi, AP Khawaja, S Pendergrass, X Han, ... Nature communications 12 (1), 1258, 2021	283	2021
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	277	2020
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	271	2020
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	270	2018

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