Articles with public access mandates - Konstantinos BalaskasLearn more
Not available anywhere: 5
Psychological and psychosocial interventions for depression and anxiety in patients with age-related macular degeneration: a systematic review
H Senra, AF Macedo, N Nunes, K Balaskas, T Aslam, E Costa
The American Journal of Geriatric Psychiatry 27 (8), 755-773, 2019
Mandates: Fundação para a Ciência e a Tecnologia, Portugal
A new drug delivery system inhibits uveitis in an animal model after cataract surgery
S Eperon, M Rodriguez-Aller, K Balaskas, R Gurny, Y Guex-Crosier
International journal of pharmaceutics 443 (1-2), 254-261, 2013
Mandates: Swiss National Science Foundation
Associations between autofluorescence abnormalities and visual acuity in idiopathic macular telangiectasia type 2: MacTel project report number 5
K Balaskas, I Leung, FB Sallo, TE Clemons, AC Bird, T Peto
Retina 34 (8), 1630-1636, 2014
Mandates: National Institute for Health Research, UK
Fundus autofluorescence imaging in macular Telangiectasia type 2: MacTel study report number 9
L Pauleikhoff, TFC Heeren, M Gliem, E Lim, D Pauleikhoff, FG Holz, ...
American Journal of Ophthalmology 228, 27-34, 2021
Mandates: German Research Foundation, National Institute for Health Research, UK
Real World One-Year Outcomes of Treatment Intensive Neovascular Age Related Macular Degeneration switched to Faricimab
SY Sim, E Chalkiadaki, G Koutsocheras, L Nicholson, S Sivaprasad, ...
Ophthalmology Retina, 2024
Mandates: National Institute for Health Research, UK
Available somewhere: 121
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
Mandates: UK Medical Research Council, National Institute for Health Research, UK …
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
Mandates: UK Medical Research Council, National Institute for Health Research, UK
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
Mandates: US Department of Veterans Affairs, UK Medical Research Council, National …
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
Mandates: UK Medical Research Council
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
Mandates: National Institute for Health Research, UK
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
Mandates: US Department of Veterans Affairs, UK Medical Research Council, National …
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
Mandates: UK Medical Research Council, National Institute for Health Research, UK, UK …
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
Mandates: National Institute for Health Research, UK
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
Mandates: National Institute for Health Research, UK
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
Mandates: National Institute for Health Research, UK
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
Mandates: UK Medical Research Council, National Institute for Health Research, UK …
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
Mandates: US National Institutes of Health
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
Mandates: UK Medical Research Council, National Institute for Health Research, UK …
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
Mandates: UK Medical Research Council, National Institute for Health Research, UK
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
Mandates: UK Medical Research Council, Wellcome Trust
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