Multimodal image matching, which refers to identifying and then corresponding the same or
similar structure/content from two or more images that are of significant modalities or …

Many neurological diseases and delineating pathological regions have been analyzed, and
the anatomical structure of the brain researched with the aid of magnetic resonance imaging …

Publicly available scientific resources help establish evaluation standards, provide a
platform for teaching and improve reproducibility. Version 4 of the Insight ToolKit (ITK4) …

Deformable image registration is a fundamental task in medical image processing. Among
its most important applications, one may cite: 1) multi-modality fusion, where information …

Summary Continuously indexed Gaussian fields (GFs) are the most important ingredient in
spatial statistical modelling and geostatistics. The specification through the covariance …

The United States National Institutes of Health (NIH) commit significant support to open-
source data and software resources in order to foment reproducibility in the biomedical …

This paper presents a review of automated image registration methodologies that have been
used in the medical field. The aim of this paper is to be an introduction to the field, provide …

Several properties of the cerebral cortex, including its columnar and laminar organization, as
well as the topographic organization of cortical areas, can only be properly understood in …

We present a technique for automatically assigning a neuroanatomical label to each voxel in
an MRI volume based on probabilistic information automatically estimated from a manually …

A probabilistic framework is presented that enables image registration, tissue classification,
and bias correction to be combined within the same generative model. A derivation of a log …