Magnetic resonance imaging has achieved an increasingly important role in the clinical
work-up of renal diseases such chronic kidney disease (CKD). A large panel of parameters …

Unsupervised image segmentation aims to match low-level visual features with semantic-
level representations without outer supervision. In this paper, we address the critical …

Background In kidney transplantation, a contrast CT scan is obtained in the donor candidate
to detect subclinical pathology in the kidney. Recent work from the Aging Kidney Anatomy …

Background and objective: The vessel segmentation in CT angiography (CTA) provides an
important basis for automatic diagnosis and hemodynamics analysis. Virtual unenhanced …

Objective The study aims to explore the application of three-dimensional (3D) technologies,
including virtual reality, augmented reality, and 3D printing systems, in the field of medicine …

Medical image segmentation is a critical application that plays a significant role in clinical
research. Despite the fact that many deep neural networks have achieved quite high …

Introduction/Purpose Systemic lupus erythematosus (SLE) is a chronic auto-immune
disease with a broad spectrum of clinical presentations, including heterogeneous …

There is a growing demand for fast, accurate computation of clinical markers to improve
renal function and anatomy assessment with a single study. However, conventional …

Different from most other organs, the kidneys receive arterial blood not merely for consuming
the delivered oxygen, but more importantly for filtering the blood. 1 Blood flow of a healthy …

Objective To quantitatively report renal parenchymal volume (RPV), renal sinus volume
(RSV), and renal parenchymal density (RPD) for chronically obstructed kidneys from …