Konstantinos Balaskas
Konstantinos Balaskas
Moorfields Eye Hospital, UCL Institute of Ophthalmology
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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