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 …

Chronic kidney disease (CKD) is common, with hypertension and diabetes mellitus acting as
major risk factors for its development. Cardiovascular disease is the leading cause of death …

Since both retinopathy and nephropathy are major diabetic microvascular complications, we
investigated whether severity of diabetic retinopathy (DR) has adverse effects on renal …

The neurological disorder epilepsy causes substantial problems to the patients with
uncontrolled seizures or even sudden deaths. Accurate detection and prediction of epileptic …

The objective was to examine prospectively the association between retinal microvascular
signs and development of diabetic kidney disease (DKD) in Asian and White populations …

To address challenges in screening for chronic kidney disease (CKD), we devised a deep
learning-based CKD screening model named UWF-CKDS. It utilizes ultra-wide-field (UWF) …

Background: The substantial burden of kidney disease fosters interest in new ways of
screening for early disease diagnosis, especially by non-invasive imaging. Increasing …

Cardiovascular diseases are a public health concern; they remain the leading cause of
morbidity and mortality in patients with type 2 diabetes. Phenotypic information available …

Purpose: To develop a deep learning-based method to achieve vessel segmentation and
measurement on fundus images, and explore the quantitative relationships between retinal …

Background The retinal and cerebral microvasculature share similar embryological origins
and physiological characteristics. Improved imaging technologies provide opportunistic non …