Modeling, characterization and analysis of biological shapes and forms are important in
many computational biology studies. Shape representation challenges span the spectrum …

Shape analysis of neuroanatomical structures has proven useful in the study of
neuropathology and neurodevelopment. Advances in medical imaging have made it …

This paper presents a novel multiscale shape representation and segmentation algorithm
based on the spherical wavelet transform. This work is motivated by the need to compactly …

Morphometric analysis of medical images is playing an increasingly important role in
understanding brain structure and function, as well as in understanding the way in which …

Both weighted spherical harmonics (SPHARM) and spherical wavelets (SW) have been
used for local shape representation of biological structures. In this paper, we shed light on …

In this paper, we present a new shape analysis approach using the well-known wavelet
transform and exploring shape representation by landmarks. First, we describe the approach …

We present a new approach to the problem of two-dimensional multiscale shape
representation and analysis, based on the one-dimensional continuous wavelet transform …

Standard practice in quantitative structural neuroimaging is a segmentation into brain tissue,
subcortical structures, fluid space and lesions followed by volume calculations of gross …

We present a novel method of statistical surface-based morphometry based on the use of
non-parametric permutation tests and a spherical wavelet (SWC) shape representation. As …

Statistical analysis on arbitrary surface meshes such as the cortical surface is an important
approach to understanding brain diseases such as Alzheimer's disease (AD). Surface …