Optical coherence tomographic angiography (OCTA) is a non-invasive imaging modality that
provides three-dimensional, information-rich vascular images. With numerous studies …

Retinal fluid as the major biomarker in exudative macular disease is accurately visualized by
high-resolution three-dimensional optical coherence tomography (OCT), which is used …

We described a challenge named" DRAC-Diabetic Retinopathy Analysis Challenge" in
conjunction with the 25th International Conference on Medical Image Computing and …

Optical coherence tomography angiography (OCTA) is a high-resolution, depth-resolved
imaging modality with important applications in ophthalmic practice. An extension of …

Typical optical coherence tomographic angiography (OCTA) acquisition areas on
commercial devices are 3× 3-or 6× 6-mm. Compared to 3× 3-mm angiograms with proper …

Traditionally, abnormalities of the retinal vasculature and perfusion in retinal vascular
disorders, such as diabetic retinopathy and retinal vascular occlusions, have been …

Purpose To propose a deep-learning− based method to differentiate arteries from veins in
montaged widefield OCT angiography (OCTA). Design Cross-sectional study. Participants A …

Purpose: We proposed a deep convolutional neural network (CNN), named Retinal Fluid
Segmentation Network (ReF-Net), to segment retinal fluid in diabetic macular edema (DME) …

Purpose: To diagnose and segment choroidal neovascularization (CNV) in a real-world
multicenter clinical OCT angiography (OCTA) data set using deep learning. Methods: A total …

Purpose: We propose a deep learning–based image reconstruction algorithm to produce
high-resolution optical coherence tomographic angiograms (OCTA) of the intermediate …