Ophthalmology Development of a deep learning model to distinguish the cause of optic disc atrophy using retinal fundus photography. March 1, 2024
Ophthalmology Image quality assessment of retinal fundus photographs for diabetic retinopathy in the machine learning era: a review. September 4, 2023
Ophthalmology An ensemble of deep convolutional neural networks is more accurate and reliable than board-certified ophthalmologists at detecting multiple diseases in retinal fundus photographs. January 31, 2023
Artificial Intelligence | Cardiology | Ophthalmology [A deep-learning model for the assessment of coronary heart disease and related risk factors via the evaluation of retinal fundus photographs]. December 14, 2022
Ophthalmology Efficient labeling of retinal fundus photographs using deep active learning. November 21, 2022
Ophthalmology A non-invasive approach to monitor anemia during long-duration spaceflight with retinal fundus images and deep learning. May 1, 2022
Ophthalmology Pyramid-Net: Intra-layer Pyramid-Scale Feature Aggregation Network for Retinal Vessel Segmentation. December 24, 2021
Medical Informatics | Ophthalmology Gender Prediction for a Multiethnic Population via Deep Learning Across Different Retinal Fundus Photograph Fields: Retrospective Cross-sectional Study. August 17, 2021
Ophthalmology Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks. August 11, 2021
Ophthalmology A Multimodal Imaging-Based Deep Learning Model for Detecting Treatment-Requiring Retinal Vascular Diseases: Model Development and Validation Study. May 31, 2021
Ophthalmology Predicting sex from retinal fundus photographs using automated deep learning. May 14, 2021