Ophthalmology [Application of artificial intelligence in glaucoma. Part 1. Neural networks and deep learning in glaucoma screening and diagnosis]. July 4, 2024
Ophthalmology FQ-UWF: Unpaired Generative Image Enhancement for Fundus Quality Ultra-Widefield Retinal Images. June 27, 2024
Ophthalmology Automated detection of type 1 ROP, type 2 ROP and A-ROP based on deep learning. June 25, 2024
Ophthalmology Assessing the Efficacy of Synthetic Optic Disc Images for Detecting Glaucomatous Optic Neuropathy Using Deep Learning. June 3, 2024
Cardiology | Ophthalmology Non-Invasive Retinal Vessel Analysis as a Predictor for Cardiovascular Disease. May 25, 2024
Artificial Intelligence | Cardiology | Medical Imaging | Ophthalmology A Multi-Stage Approach for Cardiovascular Risk Assessment from Retinal Images Using an Amalgamation of Deep Learning and Computer Vision Techniques. May 11, 2024
Ophthalmology Automated machine learning model for fundus image classification by health-care professionals with no coding experience. May 6, 2024
Ophthalmology LUNet: deep learning for the segmentation of arterioles and venules in high resolution fundus images. April 10, 2024
Ophthalmology Attention-based deep learning framework for automatic fundus image processing to aid in diabetic retinopathy grading. April 7, 2024
Artificial Intelligence | Ophthalmology | Teleophthalmology Generalizability of Deep Neural Networks for Vertical Cup-to-Disc Ratio Estimation in Ultra-Widefield and Smartphone-Based Fundus Images. April 3, 2024
Computer Science | Ophthalmology A Lesion-Fusion Neural Network for Multi-View Diabetic Retinopathy Grading. April 3, 2024