Articles with public access mandates - Karsten KortuemLearn more
Not available anywhere: 2
Graph convolution based attention model for personalized disease prediction
A Kazi, S Shekarforoush, S Arvind Krishna, H Burwinkel, G Vivar, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
Mandates: Federal Ministry of Education and Research, Germany
Artificial intelligence in ophthalmology: Guidelines for physicians for the critical evaluation of studies
M Pfau, G Walther, L von der Emde, P Berens, L Faes, M Fleckenstein, ...
Der Ophthalmologe 117, 973-988, 2020
Mandates: German Research Foundation
Available somewhere: 11
InceptionGCN: receptive field aware graph convolutional network for disease prediction
A Kazi, S Shekarforoush, S Arvind Krishna, H Burwinkel, G Vivar, ...
Information Processing in Medical Imaging: 26th International Conference …, 2019
Mandates: Federal Ministry of Education and Research, Germany
Predicting visual acuity by using machine learning in patients treated for neovascular age-related macular degeneration
M Rohm, V Tresp, M Müller, C Kern, I Manakov, M Weiss, DA Sim, ...
Ophthalmology 125 (7), 1028-1036, 2018
Mandates: National Institute for Health Research, 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
Self-supervised retinal thickness prediction enables deep learning from unlabelled data to boost classification of diabetic retinopathy
OG Holmberg, ND Köhler, T Martins, J Siedlecki, T Herold, L Keidel, ...
Nature Machine Intelligence 2 (11), 719-726, 2020
Mandates: Helmholtz Association, Federal Ministry of Education and Research, Germany
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
Moorfields AMD database report 2: fellow eye involvement with neovascular age-related macular degeneration
K Fasler, DJ Fu, G Moraes, S Wagner, E Gokhale, K Kortuem, R Chopra, ...
British Journal of Ophthalmology 104 (5), 684-690, 2020
Mandates: US National Institutes of Health, UK Medical Research Council, National …
One-and two-year visual outcomes from the Moorfields age-related macular degeneration database: a retrospective cohort study and an open science resource
K Fasler, G Moraes, S Wagner, KU Kortuem, R Chopra, L Faes, G Preston, ...
BMJ open 9 (6), e027441, 2019
Mandates: US National Institutes of Health, National Institute for Health Research, UK
AI-based structure-function correlation in age-related macular degeneration
L von der Emde, M Pfau, FG Holz, M Fleckenstein, K Kortuem, PA Keane, ...
Eye 35 (8), 2110-2118, 2021
Mandates: German Research Foundation, National Institute for Health Research, UK
Evaluation of a vision-related utility instrument: the German vision and quality of life index
RP Finger, K Kortuem, E Fenwick, B von Livonius, JE Keeffe, CW Hirneiss
Investigative Ophthalmology & Visual Science 54 (2), 1289-1294, 2013
Mandates: German Research Foundation
An open-source data set of anti-VEGF therapy in diabetic macular oedema patients over 4 years and their visual acuity outcomes
C Kern, DJ Fu, J Huemer, L Faes, SK Wagner, K Kortuem, PJ Patel, ...
Eye 35 (5), 1354-1364, 2021
Mandates: UK Medical Research Council
One and Two Year Visual Outcomes from the Moorfields AMD Database-an Open Science Resource for the Study of Neovascular Age-related Macular Degeneration
K Fasler, G Moraes, SK Wagner, KU Kortuem, R Chopra, L Faes, ...
bioRxiv, 450411, 2018
Mandates: US National Institutes of Health, National Institute for Health Research, UK
Publication and funding information is determined automatically by a computer program