Objective: The main goal of this study is to determine which parameters [eg clinical
biomarkers, demographics and image-markers using 4D (3D+ b-value) diffusion-weighted …

This paper introduces a deep-learning based computer-aided diagnostic (CAD) system for
the early detection of acute renal transplant rejection. For noninvasive detection of kidney …

A new technique for more accurate automatic segmentation of the kidney from its
surrounding abdominal structures in diffusion-weighted magnetic resonance imaging (DW …

Objective: Early diagnosis of acute renal transplant rejection (ARTR) is critical for accurate
treatment. Although the current gold standard, diagnostic technique is renal biopsy, it is not …

There is an urgent need to develop and integrate new statistical, mathematical, visualization,
and computational models with the ability to analyze Big Data in order to retrieve useful …

A simple and efficient fluorometric paper-based sensor array for discrimination and
determination of biogenic amines (BAs) as biomarkers of graft injury has developed by …

Optical coherence tomography (OCT) is a noninvasive imaging technique that has been
used increasingly to diagnose and manage a variety of retinal diseases. OCT enables …

Blood pressure (BP) changes with age are widespread, and systemic high blood pressure
(HBP) is a significant contributor for strokes and cognitive impairment. A non-invasive …

A new 3D segmentation method based on the level set technique is proposed. The main
contribution is a robust evolutionary model that requires no fine tuning of parameters. A …

In recent years, magnetic resonance imaging (MRI) has been explored for non-invasive
assessment of renal transplant function. This paper proposes a computer-aided diagnostic …