Object oriented data analysis is the statistical analysis of populations of complex objects. In
the special case of functional data analysis, these data objects are curves, where a variety of …

We propose a new methodology to analyze the anatomical variability of a set of longitudinal
data (population scanned at several ages). This method accounts not only for the usual 3D …

This thesis is about the definition, the implementation and the evaluation of statistical models
of variability of curves and surfaces based on currents in the context of Computational …

The survey outlines and compares popular computational techniques for quantitative
description of shapes of major structural parts of the human brain, including medial axis and …

In the context of computational anatomy, one aims at understanding and modelling the
anatomy of the brain and its variations across a population. This geometrical variability is …

We present an Alzheimer's detection study based on a global shape description of
hippocampal surface models. With global descriptors forming our bag of features, Support …

We introduce deep neural networks for the analysis of anatomical shapes that learn a low-
dimensional shape representation from the given task, instead of relying on hand …

This paper presents a new method for optimizing surface point correspondences for shape
modeling of multiobject anatomy, or shape complexes. The proposed method is novel in that …

This paper introduces a novel computer-aided diagnosis (CAD) system for the diagnosis of
autism from magnetic resonance (MR) brain images of children. The proposed framework …

Skeletal models that are structurally medial provide effective object representations. This is
because they include not only locations but also boundary directions and object widths. We …