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 Precision Neurology development process implements systems theory with system
biology and neurophysiology in a parallel, bidirectional research path: a combined …

Abstract The Developing Human Connectome Project (dHCP) seeks to create the first 4-
dimensional connectome of early life. Understanding this connectome in detail may provide …

In brain imaging, accurate alignment of cortical surfaces is fundamental to the statistical
sensitivity and spatial localisation of group studies, and cortical surface-based alignment …

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 …

We propose a generic method for the statistical analysis of collections of anatomical shape
complexes, namely sets of surfaces that were previously segmented and labeled in a group …

This paper presents a comprehensive literature review on point set registration. The state-of-
the-art modeling methods and algorithms for point set registration are discussed and …

In this paper, we address the problem of orientation that naturally arises when representing
shapes such as curves or surfaces as currents. In the field of computational anatomy, the …

This paper proposes an original approach for the statistical analysis of longitudinal shape
data. The proposed method allows the characterization of typical growth patterns and …

Objective: Today's growing medical image databases call for novel processing tools to
structure the bulk of data and extract clinically relevant information. Unsupervised …