| 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 | 1647 | 2019 |
| 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 | 280 | 2019 |
| 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 | 192 | 2020 |
| A clinician's guide to artificial intelligence: how to critically appraise machine learning studies L Faes, X Liu, SK Wagner, DJ Fu, K Balaskas, DA Sim, LM Bachmann, ... Translational vision science & technology 9 (2), 7-7, 2020 | 152 | 2020 |
| 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 | 145 | 2021 |
| 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 | 118 | 2021 |
| 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 | 105 | 2021 |
| Implementation of a cloud-based referral platform in ophthalmology: making telemedicine services a reality in eye care C Kern, DJ Fu, K Kortuem, J Huemer, D Barker, A Davis, K Balaskas, ... British Journal of Ophthalmology 104 (3), 312-317, 2020 | 97 | 2020 |
| Experience of anti-VEGF treatment and clinical levels of depression and anxiety in patients with wet age-related macular degeneration H Senra, K Balaskas, N Mahmoodi, T Aslam American journal of ophthalmology 177, 213-224, 2017 | 95 | 2017 |
| Psychological impact of anti-VEGF treatments for wet macular degeneration—a review H Senra, Z Ali, K Balaskas, T Aslam Graefe's Archive for Clinical and Experimental Ophthalmology 254, 1873-1880, 2016 | 78 | 2016 |
| Implementation of medical retina virtual clinics in a tertiary eye care referral centre K Kortuem, K Fasler, A Charnley, H Khambati, S Fasolo, M Katz, ... British journal of ophthalmology 102 (10), 1391-1395, 2018 | 69 | 2018 |
| Clinically relevant deep learning for detection and quantification of geographic atrophy from optical coherence tomography: a model development and external validation study G Zhang, DJ Fu, B Liefers, L Faes, S Glinton, S Wagner, R Struyven, ... The Lancet Digital Health 3 (10), e665-e675, 2021 | 64 | 2021 |
| Widefield optical coherence tomography angiography for early detection and objective evaluation of proliferative diabetic retinopathy H Khalid, R Schwartz, L Nicholson, J Huemer, MH El-Bradey, DA Sim, ... British Journal of Ophthalmology 105 (1), 118-123, 2021 | 63 | 2021 |
| Validation of automated artificial intelligence segmentation of optical coherence tomography images PM Maloca, AY Lee, ER de Carvalho, M Okada, K Fasler, I Leung, ... PloS one 14 (8), e0220063, 2019 | 58 | 2019 |
| Association of ambient air pollution with age-related macular degeneration and retinal thickness in UK Biobank SYL Chua, A Warwick, T Peto, K Balaskas, AT Moore, C Reisman, ... British Journal of Ophthalmology 106 (5), 705-711, 2022 | 56 | 2022 |
| Safety and feasibility of a novel sparse optical coherence tomography device for patient-delivered retina home monitoring P Maloca, PW Hasler, D Barthelmes, P Arnold, M Matthias, HPN Scholl, ... Translational vision science & technology 7 (4), 8-8, 2018 | 54 | 2018 |
| Automated analysis of vitreous inflammation using spectral-domain optical coherence tomography PA Keane, K Balaskas, DA Sim, K Aman, AK Denniston, T Aslam, ... Translational vision science & technology 4 (5), 4-4, 2015 | 54 | 2015 |
| Quantification of key retinal features in early and late age-related macular degeneration using deep learning B Liefers, P Taylor, A Alsaedi, C Bailey, K Balaskas, N Dhingra, CA Egan, ... American Journal of Ophthalmology 226, 1-12, 2021 | 53 | 2021 |
| Health economic and safety considerations for artificial intelligence applications in diabetic retinopathy screening Y Xie, DV Gunasekeran, K Balaskas, PA Keane, DA Sim, LM Bachmann, ... Translational vision science & technology 9 (2), 22-22, 2020 | 50 | 2020 |
| Analysis of significant factors influencing visual acuity in ocular syphilis K Balaskas, TN Sergentanis, S Giulieri, Y Guex-Crosier British Journal of Ophthalmology 95 (11), 1568-1572, 2011 | 50 | 2011 |
Pearse KeaneUKRI Future Leaders Fellow / University College London / Moorfields Eye Hospital在 ucl.ac.uk 的电子邮件经过验证