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 …

In recent years, a variety of segmentation methods have been proposed for automatic
delineation of the fetal and neonatal brain MRI. These methods aim to define regions of …

Recent advances in magnetic resonance imaging methods, including data acquisition, pre-
processing and analysis, have benefited research on the contributions of subcortical brain …

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

The registration of images is a task that is at the core of many applications in computer
vision. In computational neuroimaging where the automated segmentation of brain …

This paper describes DARTEL, which is an algorithm for diffeomorphic image registration. It
is implemented for both 2D and 3D image registration and has been formulated to include …

This paper discusses certain modifications of the ideas concerning the Gromov–Hausdorff
distance which have the goal of modeling and tackling the practical problems of object …

In this paper, we present the concept of diffusing models to perform image-to-image
matching. Having two images to match, the main idea is to consider the objects boundaries …

We describe a comprehensive framework for performing rapid and automatic nonlabel‐
based nonlinear spatial normalizations. The approach adopted minimizes the residual …

A method and apparatus for defining the location of a medical instrument relative to features
of a medical workspace including a patient's body region are described. Pairs of two …