Brain Sciences | Free Full-Text | Artificial Intelligence Frameworks to Detect and Investigate the
Pathophysiology of Spaceflight Associated Neuro-Ocular Syndrome (SANS) Next Article in …

Assessment and maintenance of end-organ perfusion are key to resuscitation in critical
illness, although there are limited direct methods or proxy measures to assess cerebral …

Objective Automatic artery/vein (A/V) segmentation from fundus images is required to track
blood vessel changes occurring with many pathologies including retinopathy and …

Retinal vessels are considered important biomarkers for the detection of retinal diseases,
like diabetic retinopathy (caused by diabetes) and hypertensive retinopathy (caused by …

Introduction: To evaluate retinal microvasculature modifications by means of optical
coherence tomography angiography in human subjects diagnosed with arterial …

Automatic segmentation and differentiation of retinal arteriole and venule (AV), defined as
small blood vessels directly before and after the capillary plexus, are of great importance for …

Automatic artery/vein (A/V) classification, as the basic prerequisite for the quantitative
analysis of retinal vascular network, has been actively investigated in recent years using …

Background and Objective: Accurate retinal vessel segmentation is often considered to be a
reliable biomarker of diagnosis and screening of various diseases, including cardiovascular …

This study is to demonstrate the effect of multimodal fusion on the performance of deep
learning artery-vein (AV) segmentation in optical coherence tomography (OCT) and OCT …

Cardiovascular disease (CVD) is the most frequent cause of death worldwide. The
alterations in the microcirculation may predict the cardiovascular mortality. The retinal …