| 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 | 984 | 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 | 180 | 2019 |
| 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 | 106 | 2020 |
| 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 | 97 | 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 | 76 | 2021 |
| 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 | 75 | 2017 |
| 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 | 71 | 2020 |
| 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 | 63 | 2016 |
| 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 | 55 | 2021 |
| 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 | 52 | 2018 |
| 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 | 48 | 2019 |
| 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 | 48 | 2015 |
| 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 | 47 | 2021 |
| Azithromycin versus Sulfadiazine and Pyrimethamine for non-vision-threatening toxoplasmic retinochoroiditis: a pilot study K Balaskas, J Vaudaux, N Boillat-Blanco, Y Guex-Crosier Medical science monitor: international medical journal of experimental and …, 2012 | 43 | 2012 |
| 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 | 42 | 2011 |
| Use of a neural net to model the impact of optical coherence tomography abnormalities on vision in age-related macular degeneration TM Aslam, HR Zaki, S Mahmood, ZC Ali, NA Ahmad, MR Thorell, ... American journal of ophthalmology 185, 94-100, 2018 | 41 | 2018 |
| Use of a neural net to model the impact of optical coherence tomography abnormalities on vision in age-related macular degeneration TM Aslam, HR Zaki, S Mahmood, ZC Ali, NA Ahmad, MR Thorell, ... American journal of ophthalmology 185, 94-100, 2018 | 41 | 2018 |
| High-performance virtual reality volume rendering of original optical coherence tomography point-cloud data enhanced with real-time ray casting PM Maloca, JER de Carvalho, T Heeren, PW Hasler, F Mushtaq, ... Translational vision science & technology 7 (4), 2-2, 2018 | 39 | 2018 |
| 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 | 39 | 2018 |
| 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 | 37 | 2020 |
Pearse KeaneUKRI Future Leaders Fellow / University College London / Moorfields Eye HospitalVerified email at ucl.ac.uk
