Ophthalmology Automated Identification and Segmentation of Using Deep Learning on SD-OCT for Predicting Progression in Dry AMD. March 29, 2023
Ophthalmology Evaluating the utility of deep learning for predicting therapeutic response in diabetic eye disease. February 6, 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 | Radiology Quantitative Imaging Biomarkers in Age-Related Macular Degeneration and Diabetic Eye Disease: A Step Closer to Precision Medicine. November 27, 2021
Ophthalmology Deep learning-enabled ultra-widefield retinal vessel segmentation with an automated quality-optimized angiographic phase selection tool. August 10, 2021
Ophthalmology Longitudinal assessment of quantitative ultra-widefield ischaemic and vascular parameters in sickle cell retinopathy. November 1, 2020
Ophthalmology Automated Quality Assessment and Image Selection of Ultra-Widefield Fluorescein Angiography Images through Deep Learning. September 30, 2020