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Development and Evaluation of a Deep Learning System for Screening Retinal Hemorrhage Based on Ultra-Widefield Fundus Images

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Artificial Intelligence to Detect Papilledema from Ocular Fundus Photographs

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Deep learning frameworks for diabetic retinopathy detection with smartphone-based retinal imaging systems

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Dense anatomical annotation of slit-lamp images improves the performance of deep learning for the diagnosis of ophthalmic disorders

(2020) Wangting Li et al.   Nature Biomedical Engineering

Deep learning for automated glaucomatous optic neuropathy detection from ultra-widefield fundus images

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Deep learning for identifying corneal diseases from ocular surface slit-lamp photographs

(2020) Hao Gu et al.   Scientific Reports

Biomedical image augmentation using Augmentor

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Development and validation of a deep‐learning algorithm for the detection of neovascular age‐related macular degeneration from colour fundus photographs

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Artificial intelligence for global health

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A deep learning system for identifying lattice degeneration and retinal breaks using ultra-widefield fundus images

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Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy: a multicentre, case-control, diagnostic study

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Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

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Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs

(2018) Zhixi Li et al.   OPHTHALMOLOGY

Automated Quality Assessment of Fundus Images via Analysis of Illumination, Naturalness and Structure

(2018) Feng Shao et al.   IEEE Access

Interpretable and Expandable Deep Learning Diagnosis System for Multiple Ocular Diseases: Elaborately Simulating Doctors� working (Preprint)

(2018) Kai Zhang et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Retinal image quality assessment using deep learning

(2018) Gabriel Tozatto Zago et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A guide to deep learning in healthcare

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High-performance medicine: the convergence of human and artificial intelligence

(2018) Eric J. Topol   NATURE MEDICINE

Visualizing Deep Learning Models for the Detection of Referable Diabetic Retinopathy and Glaucoma

(2018) Stuart Keel et al.   JAMA Ophthalmology

Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes

(2017) Daniel Shu Wei Ting et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

ImageNet Large Scale Visual Recognition Challenge

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