This paper presents a new framework for capturing large and complex deformations in
image registration and atlas construction. This challenging and recurrent problem in …

Automatic optical-to-SAR image registration is considered as a challenging problem
because of the inconsistency of radiometric and geometric properties. Feature-based …

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 …

Existing methods for surface matching are limited by the tradeoff between precision and
computational efficiency. Here, we present an improved algorithm for dense vertex-to-vertex …

Accurate matching of cortical surfaces is necessary in many neuroscience applications. In
this context diffeomorphisms are often sought, because they facilitate further statistical …

Abstract 4D (spatial+ temporal) infant cortical surface atlases covering dense time points are
highly needed for understanding dynamic early brain development. In this article, we …

The description of cortical folding pattern (CFP) is challenging because of geometric
complexity and inter-subject variability. On a cortical surface mesh, curvature estimation …

Studies in comparative neuroanatomy and of the fossil record demonstrate the influence of
socio-ecological niches on the morphology of the cerebral cortex, but have led to oftentimes …

In this study, we construct a spatio-temporal surface atlas of the develo** cerebral cortex,
which is an important tool for analysing and understanding normal and abnormal cortical …

Manifold alignment can be used to reduce the dimensionality of multiple medical image
datasets into a single globally consistent low-dimensional space. This may be desirable in a …