Automated retinal vessel segmentation is among the most significant application and
research topics in ophthalmologic image analysis. Deep learning based retinal vessel …

Purpose Disease staging involves the assessment of disease severity or progression and is
used for treatment selection. In diabetic retinopathy, disease staging using a wide area is …

3D optical coherence tomography angiography (OCT-A) is a novel and non-invasive
imaging modality for analyzing retinal diseases. The studies of microvasculature in 2D en …

Automatic artery/vein (A/V) classification is one of the important topics in retinal image
analysis. It allows the researchers to investigate the association between biomarkers and …

Microvascular dysfunction (MVD) is a common pathophysiological change that occurs in
various diseases, such as type 2 diabetes mellitus (T2DM), heart failure, dementia, and …

Aims/hypothesis Retinal microvascular diameters are biomarkers of cardio-metabolic risk.
However, the association of (pre) diabetes with retinal microvascular diameters remains …

Background Endogenously formed advanced glycation end products (AGEs) may be
important drivers of microvascular dysfunction and the microvascular complications of …

We propose vessel vector-based phase portrait analysis (VVPPA) and a hybrid between
VVPPA and a clustering method proposed earlier for automatic optic disk (OD) detection …

While physical activity (PA) is understood to promote vascular health, little is known about
whether the daily and weekly patterns of PA accumulation associate with vascular health …

The estimation of central choroidal thickness from colour fundus images can improve
disease detection. We developed a deep learning method to estimate central choroidal …