Multiple Sclerosis (MS) is a type of brain disease which causes visual, sensory, and motor
problems for people with a detrimental effect on the functioning of the nervous system. In …

A variant of the popular nonparametric nonuniform intensity normalization (N3) algorithm is
proposed for bias field correction. Given the superb performance of N3 and its public …

Representing the orientation of features in the visual image is a fundamental operation of
the early cortical visual system. The nature of such representations can be informed by …

The brain magnetic resonance (MR) image has an embedded bias field. This field needs to
be corrected to obtain the actual MR image for classification. Bias field, being a slowly …

Purpose: Classification of magnetic resonance (MR) images has many clinical and research
applications. Because of multiple factors such as noise, intensity inhomogeneity, and partial …

A new method for tissue classification of brain magnetic resonance images (MRI) of the
brain is proposed. The method is based on local image models where each models the …

MR image preprocessing is a fundamental step to assure the success of any quantitative
analysis pipeline. Such preprocessing can be composed of different processes, each of …

This article addresses the problem of the tissue type parameter estimation in brain MRI in
the presence of partial volume effects. Automatic MRI brain tissue classification is hampered …

Accuracy of glioma grading is fundamental for the diagnosis, treatment planning and
prognosis of patients. The purpose of this work was to develop a low-cost and easy-to …

Mechanisms of color vision in cortex have not been as well characterized as those in sub-
cortical areas, particularly in humans. We used fMRI in conjunction with univariate and …