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 …

The core concept within the field of brain mapping is the use of a standardized, or
“stereotaxic”, 3D coordinate frame for data analysis and reporting of findings from …

Deep learning based 3D reconstruction techniques have recently achieved impressive
results. However, while state-of-the-art methods are able to output complex 3D geometry, it …

Spatial transcriptomics (ST) technologies enable high throughput gene expression
characterization within thin tissue sections. However, comparing spatial observations across …

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 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 …

A thoroughly revised and updated edition of this introduction to modern statistical methods
for shape analysis Shape analysis is an important tool in the many disciplines where objects …

Implicit representations can provide simple descriptions of relatively complex shapes and
can in many cases be a good choice when designing stable shape processing algorithms …

Recent years have witnessed significant progress in the field of neural surface
reconstruction. While extensive focus was put on volumetric and implicit approaches, a …

An overview of computational procedures for examining neuroanatomical variability is
presented. The review focuses on approaches that can be applied using the SPM software …