Ophthalmology Multi-Plexus Nonperfusion Area Segmentation in Widefield OCT Angiography Using a Deep Convolutional Neural Network. July 18, 2024
Ophthalmology Interpretable Diabetic Retinopathy Diagnosis based on Biomarker Activation Map. July 5, 2023
Ophthalmology Automated Macular Fluid Volume As a Treatment Indicator for Diabetic Macular Edema. May 15, 2023
Ophthalmology A Deep Learning Network for Classifying Arteries and Veins in Montaged Widefield OCT Angiograms. October 25, 2022
Ophthalmology An Open-Source Deep Learning Network for Reconstruction of High-Resolution OCT Angiograms of Retinal Intermediate and Deep Capillary Plexuses. November 10, 2021
Ophthalmology Deep learning-based signal-independent assessment of macular avascular area on 6×6 mm optical coherence tomography angiogram in diabetic retinopathy: a comparison to instrument-embedded software. September 14, 2021
Ophthalmology An end-to-end network for segmenting the vasculature of three retinal capillary plexuses from OCT angiographic volumes. September 13, 2021
Ophthalmology Comparison of Central Macular Fluid Volume With Central Subfield Thickness in Patients With Diabetic Macular Edema Using Optical Coherence Tomography Angiography. May 13, 2021
Ophthalmology Automated Segmentation of Retinal Fluid Volumes From Structural and Angiographic Optical Coherence Tomography Using Deep Learning. October 28, 2020
Ophthalmology Reconstruction of high-resolution 6×6-mm OCT angiograms using deep learning. October 5, 2020
Ophthalmology Automated diagnosis and segmentation of choroidal neovascularization in OCT angiography using deep learning. March 5, 2020
Ophthalmology Development and validation of a deep learning algorithm for distinguishing the nonperfusion area from signal reduction artifacts on OCT angiography. July 30, 2019