Ophthalmology Automated segmentation of ultra-widefield fluorescein angiography of diabetic retinopathy using deep learning. October 14, 2022
Deep Learning | Medical Imaging | Ophthalmology Bridging the resources gap: deep learning for fluorescein angiography and optical coherence tomography macular thickness map image translation. September 1, 2022
Ophthalmology Automated Detection of Vascular Leakage in Fluorescein Angiography – A Proof of Concept. July 25, 2022
Ophthalmology Improving foveal avascular zone segmentation in fluorescein angiograms by leveraging manual vessel labels from public color fundus pictures. July 1, 2022
Ophthalmology The Role of Different Retinal Imaging Modalities in Predicting Progression of Diabetic Retinopathy: A Survey. May 20, 2022
Ophthalmology A Weakly Supervised Deep Learning Approach for Leakage Detection in Fluorescein Angiography Images. March 9, 2022
Ophthalmology Diagnosis of Polypoidal Choroidal Vasculopathy From Fluorescein Angiography Using Deep Learning. February 3, 2022
Ophthalmology Current status and future possibilities of retinal imaging in diabetic retinopathy care applicable to low- and medium-income countries. October 28, 2021
Ophthalmology Robust content-adaptive global registration for multimodal retinal images using weakly supervised deep-learning framework. February 18, 2021
Artificial Intelligence | Medical Imaging | Ophthalmology A novel deep learning conditional generative adversarial network for producing angiography images from retinal fundus photographs. December 10, 2020
Ophthalmology Automated Quality Assessment and Image Selection of Ultra-Widefield Fluorescein Angiography Images through Deep Learning. September 30, 2020