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 …

Supplement A: Hessian of the Riemannian squared distance. This supplementary material
describes in more length the notions of Riemannian geometry that are underlying the main …

We propose a method for constructing a spatio-temporal cortical surface atlas of neonatal
brains aged between 36 and 44 weeks of post-menstrual age (PMA) at the time of scan. The …

This paper presents an efficient algorithm for large deformation diffeomorphic metric
mapping (LDDMM) with geodesic shooting for image registration. We introduce a novel finite …

In non-parametric volumetric registration (NVR), the entire spatial transformation is treated
as an unknown function subject to a set of constraints, such as smoothness and invertibility …

On the space of probability densities, we extend the Wasserstein geodesics to the case of
higher-order interpolation such as cubic spline interpolation. After presenting the natural …

Mild Cognitive Impairment (MCI) is an intermediate stage between healthy and Alzheimer's
disease (AD). To enable early intervention it is important to identify the MCI subjects that will …

Over the past 30 years, magnetic resonance imaging has become a ubiquitous tool for
accurately visualizing the change and development of the brain's subcortical structures (eg …

Regression is an essential tool in Statistical analysis of data with many applications in
Computer Vision, Machine Learning, Medical Imaging and various disciplines of Science …

Regression in its most common form where independent and dependent variables are in ℝ
n is a ubiquitous tool in Sciences and Engineering. Recent advances in Medical Imaging …