Neurology | Ophthalmology | Radiology Convolutional neural network-based classification of glaucoma using optic radiation tissue properties. April 11, 2024
Medical Imaging | Ophthalmology Human selection bias drives the linear nature of the more ground truth effect in explainable deep learning optical coherence tomography image segmentation. October 5, 2023
Ophthalmology Developing a continuous severity scale for MacTel type 2 using Deep Learning and implications for disease grading. September 22, 2023
Ophthalmology A Deep Learning Framework for the Detection and Quantification of Reticular Pseudodrusen and Drusen on Optical Coherence Tomography. December 2, 2022
Ophthalmology Training deep learning models to work on multiple devices by cross domain learning with no additional annotations. September 26, 2022
Ophthalmology | Optometry Quantification and Predictors of OCT-Based Macular Curvature and Dome-Shaped Configuration: Results From the UK Biobank. August 25, 2022
Artificial Intelligence | Medical Imaging | Ophthalmology Unraveling the deep learning gearbox in optical coherence tomography image segmentation towards explainable artificial intelligence. February 6, 2021
Ophthalmology Prospective evaluation of an artificial intelligence-enabled algorithm for automated diabetic retinopathy screening of 30 000 patients. July 1, 2020
Ophthalmology Validation of automated artificial intelligence segmentation of optical coherence tomography images. August 16, 2019
Ophthalmology Clinically applicable deep learning for diagnosis and referral in retinal disease. May 13, 2019