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 …

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 …

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 …

Automatic non-invasive assessment of hepatocellular carcinoma (HCC) malignancy has the
potential to substantially enhance tumor treatment strategies for HCC patients. In this work …

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 …

Organ transplantation can benefit from machine learning in such a way to improve the
current procedures for donor--recipient matching or to improve standard scores. However, a …

Recently, studies for non-invasive renal transplant evaluation have been explored to control
allograft rejection. In this paper, a computer-aided diagnostic system has been developed to …

The goal of this paper is to determine the parameters that are correlated with the biopsy
diagnosis of acute renal rejection (AR) post-transplantation, using laboratory biomarkers …