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References from Deepfakes in Ophthalmology. Local targets link to admitted publications; unresolved targets remain external evidence.
Automated diagnosis of plus disease in retinopathy of prematurity using deep convolutional neural networks
10.1001/jamaophthalmol.2018.1934 · 2018 · External reference
Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
10.1001/jama.2016.17216 · 2016 · External reference
Automated fundus image quality assessment in retinopathy of prematurity using deep convolutional neural networks
10.1016/j.oret.2019.01.015 · 2019 · External reference
Deep learning for the diagnosis of stage in retinopathy of prematurity: accuracy and generalizability across populations and cameras
10.1016/j.oret.2020.12.013 · 2021 · External reference
Deep learning estimation of 10-2 and 24-2 visual field metrics based on thickness maps from macula optical coherence tomography
10.1016/j.ophtha.2021.04.022 · 2021 · External reference
Development and validation of a deep learning system for diabetic retinopathy and related eye diseases using retinal images from multiethnic populations with diabetes
10.1001/jama.2017.18152 · 2017 · External reference
Use of deep learning for detailed severity characterization and estimation of 5-year risk among patients with age-related macular degeneration
10.1001/jamaophthalmol.2018.4118 · 2018 · External reference
Artificial intelligence and algorithmic bias: implications for health systems
2019 · External reference
Addressing artificial intelligence bias in retinal diagnostics
10.1167/tvst.10.2.13 · 2021 · External reference
The impact of the EU general data protection regulation on scientific research
10.3332/ecancer.2017.709 · 2017 · External reference
Unresolved reference
2010 · External reference
Federated learning of predictive models from federated electronic health records
10.1016/j.ijmedinf.2018.01.007 · 2018 · External reference
Federated learning for healthcare informatics
2020 · External reference
Distributed deep learning networks among institutions for medical imaging
10.1093/jamia/ocy017 · 2018 · External reference
Model-to-data approach for deep learning in optical coherence tomography intraretinal fluid segmentation
10.1001/jamaophthalmol.2020.2769 · 2020 · External reference
Generative adversarial nets. In:
2014 · External reference
Photographic and video deepfakes have arrived: how machine learning may influence plastic surgery
10.1097/prs.0000000000006697 · 2020 · External reference
The epistemic threat of deepfakes
2020 · External reference
Assessment of deep generative models for high-resolution synthetic retinal image generation of age-related macular degeneration
10.1001/jamaophthalmol.2018.6156 · 2019 · External reference
DR-GAN: conditional generative adversarial network for fine-grained lesion synthesis on diabetic retinopathy images
2020 · External reference
Image based analysis of meibomian gland dysfunction using conditional generative adversarial neural network
10.1136/bmjophth-2020-000436 · 2021 · External reference
Generative adversarial network in medical imaging: a review
10.1016/j.media.2019.101552 · 2019 · External reference
Synthesizing retinal and neuronal images with generative adversarial nets
10.1016/j.media.2018.07.001 · 2018 · External reference
Generative adversarial network for glioblastoma ensures morphologic variations and improves diagnostic model for isocitrate dehydrogenase mutant type
10.1038/s41598-021-89477-w · 2021 · External reference
Generative adversarial networks for the creation of realistic artificial brain magnetic resonance images
2018 · External reference
Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks
10.1038/s41598-019-52737-x · 2019 · External reference
Assessment of generative adversarial networks model for synthetic optical coherence tomography images of retinal disorders
10.1167/tvst.9.2.29 · 2020 · External reference
Assessment of generative adversarial networks for synthetic anterior segment optical coherence tomography images in closed-angle detection
10.1167/tvst.10.4.34 · 2021 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Retinal fundus image generation in retinopathy of prematurity using autoregressive generative models
2020 · External reference
Unresolved reference
External reference
End-to-end adversarial retinal image synthesis
10.1109/tmi.2017.2759102 · 2018 · External reference
Development and evaluation of reference standards for image-based telemedicine diagnosis and clinical research studies in ophthalmology
2014 · External reference
Unresolved reference
1995 · External reference
PyTorch: an imperative style, high-performance deep learning library
2019 · External reference
Unresolved reference
External reference
Plus disease in retinopathy of prematurity: improving diagnosis by ranking disease severity and using quantitative image analysis
10.1016/j.ophtha.2016.07.020 · 2016 · External reference
R: A Language and Environment for Statistical Computing
2020 · External reference
Pathological evidence exploration in deep retinal image diagnosis
2019 · External reference
Retinal image synthesis from multiple-landmarks input with generative adversarial networks
10.1186/s12938-019-0682-x · 2019 · External reference
Diagnosability of synthetic retinal fundus images for plus disease detection in retinopathy of prematurity
2021 · External reference
Diabetic retinopathy diagnosis using multichannel generative adversarial network with semisupervision
10.1109/tase.2020.2981637 · 2021 · External reference
Deep-learning-based enhanced optic-disc photography
10.1371/journal.pone.0239913 · 2020 · External reference
Conditional GAN for prediction of glaucoma progression with macular optical coherence tomography
2020 · External reference
Prediction of OCT images of short-term response to anti-VEGF treatment for neovascular age-related macular degeneration using generative adversarial network
10.1136/bjophthalmol-2019-315338 · 2020 · External reference
DeshadowGAN: a deep learning approach to remove shadows from optical coherence tomography images
10.1167/tvst.9.2.23 · 2020 · External reference
Unresolved reference
External reference
A novel deep learning conditional generative adversarial network for producing angiography images from retinal fundus photographs
10.1038/s41598-020-78696-2 · 2020 · External reference
Implementation and evaluation of a tele-education system for the diagnosis of ophthalmic disease by international trainees
2015 · External reference
Bringing ophthalmic graduate medical education into the 2020s with information technology
10.1016/j.ophtha.2020.11.019 · 2021 · External reference
Evaluation of pediatric ophthalmologists’ perspectives of artificial intelligence in ophthalmology
2021 · External reference
Addressing the Covid-19 burden on medical education and training: the role of telemedicine and tele-education during and beyond the pandemic
10.3389/fpubh.2020.589669 · 2020 · External reference
Assessment of a tele-education system to enhance retinopathy of prematurity training by international ophthalmologists-in-training in Mexico
10.1016/j.ophtha.2017.02.014 · 2017 · External reference
Models of care in tele-ophthalmology: a scoping review
10.1177/1357633x17742182 · 2017 · External reference
International data-sharing norms: from the OECD to the General Data Protection Regulation (GDPR)
10.1007/s00439-018-1919-7 · 2018 · External reference
Disruptive and avoidable: GDPR challenges to secondary research uses of data
10.1038/s41431-020-0596-x · 2020 · External reference
Genomic data sharing in Europe is stumbling—Could a code of conduct prevent its fall?
10.15252/emmm.201911421 · 2020 · External reference
Person identification using vascular and non-vascular retinal features
10.1016/j.compeleceng.2016.03.010 · 2016 · External reference
A novel retinal identification system
10.1155/2008/280635 · 2008 · External reference
Biometrics
1996 · External reference
Generative Adversarial Networks (GANs) for retinal fundus image synthesis
2019 · External reference
Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning
10.1038/s41551-018-0195-0 · 2018 · External reference
Predicting sex from retinal fundus photographs using automated deep learning
10.1038/s41598-021-89743-x · 2021 · External reference
GAN-Leaks: a taxonomy of membership inference attacks against generative models
2020 · External reference
GAN enhanced membership inference: a passive local attack in federated learning
2020 · External reference
Performing co-membership attacks against deep generative models
2019 · External reference
Monte Carlo and reconstruction membership inference attacks against generative models
10.2478/popets-2019-0067 · 2019 · External reference
Unresolved reference
External reference
MemGuard: Defending against black-box membership inference attacks via adversarial examples
2019 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Adversarial attacks on medical machine learning
10.1126/science.aaw4399 · 2019 · External reference
Unresolved reference
External reference
Can adversarial networks hallucinate occluded people with a plausible aspect?
10.1016/j.cviu.2019.03.007 · 2019 · External reference
Unresolved reference
External reference
10.1109/infocomtech.2018.8722416
10.1109/infocomtech.2018.8722416 · External reference
