The eye affords a unique opportunity to inspect a rich part of the human microvasculature
non-invasively via retinal imaging. Retinal blood vessel segmentation and classification are …

Introduction: Ocular manifestations in several neurological pathologies accentuate the
strong relationship between the eye and the brain. Retinal alterations in particular can serve …

Accurate vessel segmentation in Ultra-Wide-Field Scanning Laser Ophthalmoscopy (UWF-
SLO) images is crucial for diagnosing retinal diseases. Although recent techniques have …

Purpose: To examine whether ultra-widefield (UWF) retinal imaging can identify biomarkers
for Alzheimer's disease (AD) and its progression. Methods: Images were taken using a UWF …

Purpose: Semiautomated software applications derive quantitative retinal vascular
parameters from fundus camera images. However, the extent of agreement between …

While recent advances in deep learning have significantly advanced the state of the art for
vessel detection in color fundus (CF) images, the success for detecting vessels in …

We propose a deep-learning based annotation-efficient framework for vessel detection in
ultra-widefield (UWF) fundus photography (FP) that does not require de novo labeled UWF …

Purpose: Retinal microvascular abnormalities measured on retinal images are a potential
source of prognostic biomarkers of vascular changes in the neurodegenerating brain. We …

As ischemia remains a key prognostic factor in the management of various diseases
including diabetic retinopathy, an increasing amount of research has been dedicated to its …

No biological system or structure is likely to be perfectly symmetrical, or have identical right
and left forms. This review explores the evidence for eye and visual pathway asymmetry, in …