Detecting multiple retinal diseases in ultra-widefield fundus imaging and data-driven identification of informative regions with deep learning

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Array programming with NumPy

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Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning

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A Human-Centered Evaluation of a Deep Learning System Deployed in Clinics for the Detection of Diabetic Retinopathy

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Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic Retinopathy

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Deep image mining for diabetic retinopathy screening

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A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisability

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Revisiting ResNets: Improved Training and Scaling StrategiesPreprint

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ULTRA-WIDEFIELD FUNDUS IMAGING

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The economic impact of sight loss and blindness in the UK adult population

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Accuracy of deep learning, a machine-learning technology, using ultra–wide-field fundus ophthalmoscopy for detecting rhegmatogenous retinal detachment

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Deep learning on fundus images detects glaucoma beyond the optic disc

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Ultra-widefield retinal imaging: an update on recent advances

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Accuracy of ultra-wide-field fundus ophthalmoscopy-assisted deep learning, a machine-learning technology, for detecting age-related macular degeneration

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Deep Neural Network-Based Method for Detecting Central Retinal Vein Occlusion Using Ultrawide-Field Fundus Ophthalmoscopy

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Accuracy of ultrawide-field fundus ophthalmoscopy-assisted deep learning for detecting treatment-naïve proliferative diabetic retinopathy

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Deep-learning classifier with ultrawide-field fundus ophthalmoscopy for detecting branch retinal vein occlusion

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Accuracy of a deep convolutional neural network in detection of retinitis pigmentosa on ultrawide-field images

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Accuracy of automated machine learning in classifying retinal pathologies from ultra-widefield pseudocolour fundus images

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Deep-learning Classifier With an Ultrawide-field Scanning Laser Ophthalmoscope Detects Glaucoma Visual Field Severity

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Accuracy of deep learning, a machine learning technology, using ultra-wide-field fundus ophthalmoscopy for detecting idiopathic macular holes

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Factors in Color Fundus Photographs That Can Be Used by Humans to Determine Sex of Individuals

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Iterative Augmentation of Visual Evidence for Weakly-Supervised Lesion Localization in Deep Interpretability Frameworks: Application to Color Fundus Images

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Retinal Detachment Screening with Ensembles of Neural Network Models

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Deep learning for identification of peripheral retinal degeneration using ultra-wide-field fundus images: is it sufficient for clinical translation?

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Discrimination Ability of Glaucoma via DCNNs Models from Ultra-Wide Angle Fundus Images Comparing Either Full or Confined to the Optic Disc

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Using artificial intelligence to improve human performance: efficient retinal disease detection training with synthetic images

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Assessment of patient specific information in the wild on fundus photography and optical coherence tomography

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Comparative study of ultrasonographic and ultra-wide-field fundus for measurements of the diameter of choroidal and retinal tumorsPreprint

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Application of non-mydriatic digital fundus photography in fundus macular disease screening

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