Structural magnetic resonance imaging (MRI) provides anatomical information about the
brain in healthy as well as in diseased conditions. On the other hand, functional MRI (fMRI) …

Quantitative analysis of magnetic resonance (MR) brain images are facilitated by the
development of automated segmentation algorithms. A single image voxel may contain of …

Spatial normalization, registration, and segmentation techniques for Magnetic Resonance
Imaging (MRI) often use a target or template volume to facilitate processing, take advantage …

Image segmentation methodology is a part of nearly all computer schemes as a pre-
processing phase to excerpt more meaningful and useful information for analysing the …

Cinema is a promising naturalistic stimulus that enables, for instance, elicitation of robust
emotions during functional magnetic resonance imaging (fMRI). Inter-subject correlation …

A typical microarray dataset usually contains thousands of genes, but only a small number of
samples. It is in fact that most genes in a DNA microarray dataset are not relevant for …

Alterations in gray matter (GM) density/volume and cortical thickness (CT) have been
demonstrated in small and heterogeneous samples of subjects with differing chronic pain …

The current market's demand for customization and responsiveness is a major challenge for
producing intelligent, adaptive manufacturing systems. The Multi-Agent System (MAS) …

Objective Brain tissue segmentation by conventional threshold-based techniques may have
limited accuracy and repeatability in older subjects. We present a new multispectral …

One key issue that must be addressed during the development of image segmentation
algorithms is the accuracy of the results they produce. Algorithm developers require this so …