Ophthalmology 3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs. April 24, 2024
Ophthalmology A new intelligent system based deep learning to detect DME and AMD in OCT images. April 23, 2024
Ophthalmology Visual acuity prediction on real-life patient data using a machine learning based multistage system. March 6, 2024
Ophthalmology Deep learning model for automatic differentiation of EMAP from AMD in macular atrophy. November 22, 2023
Machine Learning | Ophthalmology | Optometry Machine Learning-Based Automated Detection and Quantification of Geographic Atrophy and Hypertransmission Defects Using Spectral Domain Optical Coherence Tomography. January 21, 2023
Ophthalmology A SYSTEMATIC REVIEW OF DEEP LEARNING APPLICATIONS FOR OPTICAL COHERENCE TOMOGRAPHY IN AGE-RELATED MACULAR DEGENERATION. July 25, 2022
Ophthalmology SD-OCT Biomarkers and the Current Status of Artificial Intelligence in Predicting Progression from Intermediate to Advanced AMD. March 25, 2022
Ophthalmology Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS. March 21, 2022
Ophthalmology Automated Retinal Layer Segmentation Using Graph-based Algorithm Incorporating Deep-learning-derived Information. June 13, 2020
Ophthalmology Deep learning automated detection of reticular pseudodrusen from fundus autofluorescence images or color fundus photographs in AREDS2. May 24, 2020