Ophthalmology Detecting Anomalies in Retinal Diseases Using Generative, Discriminative, and Self-supervised Deep Learning. December 30, 2021
Ophthalmology Low-Shot Deep Learning of Diabetic Retinopathy With Potential Applications to Address Artificial Intelligence Bias in Retinal Diagnostics and Rare Ophthalmic Diseases. September 3, 2020
Ophthalmology Deep learning in ophthalmology: The technical and clinical considerations. May 19, 2019
Ophthalmology Assessment of Deep Generative Models for High-Resolution Synthetic Retinal Image Generation of Age-Related Macular Degeneration. April 21, 2019
Ophthalmology Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks. January 28, 2019
Ophthalmology Use of Deep Learning for Detailed Severity Characterization and Estimation of 5-Year Risk Among Patients With Age-Related Macular Degeneration. December 13, 2018
Ophthalmology Comparing humans and deep learning performance for grading AMD: A study in using universal deep features and transfer learning for automated AMD analysis. November 13, 2018
Endocrinology | Ophthalmology Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes. November 13, 2018