Artificial Intelligence (AI) | Medical Imaging | Ophthalmology Updates in deep learning research in ophthalmology. October 18, 2021
Ophthalmology Deep-Learning-Based Pre-Diagnosis Assessment Module for Retinal Photographs: A Multicenter Study. September 15, 2021
Ophthalmology Generative adversarial networks in ophthalmology: what are these and how can they be used? July 29, 2021
Ophthalmology Deep learning differentiates between healthy and diabetic mouse ears from optical coherence tomography angiography images. February 27, 2021
Ophthalmology Towards label-free 3D segmentation of optical coherence tomography images of the optic nerve head using deep learning. December 7, 2020
Ophthalmology Automated circumpapillary retinal nerve fiber layer segmentation in high-resolution swept-source OCT. October 6, 2020
Ophthalmology Artificial intelligence and deep learning in glaucoma: Current state and future prospects. September 29, 2020
Ophthalmology DeshadowGAN: A Deep Learning Approach to Remove Shadows from Optical Coherence Tomography Images. August 20, 2020
Ophthalmology Deep learning segmentation for optical coherence tomography measurements of the lower tear meniscus. March 24, 2020
Dermatology | Imaging | Machine Learning Techniques and Applications in Skin OCT Analysis. February 7, 2020
Neurology | Ophthalmology A Deep Learning Approach to Denoise Optical Coherence Tomography Images of the Optic Nerve Head. October 9, 2019
Epidemiology | Ophthalmology Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic study. July 17, 2019