Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness
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 …
approach to understanding brain diseases such as Alzheimer's disease (AD). Surface …
Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination
Hypothesis testing on signals defined on surfaces (such as the cortical surface) is a
fundamental component of a variety of studies in Neuroscience. The goal here is to identify …
fundamental component of a variety of studies in Neuroscience. The goal here is to identify …
Detection of focal changes in human cortical thickness: spherical wavelets versus Gaussian smoothing
JL Bernal-Rusiel, M Atienza, JL Cantero - NeuroImage, 2008 - Elsevier
Subtle but progressive variations in human cortical thickness have been associated with the
initial phases of prevalent neurological and psychiatric conditions. But slight changes in …
initial phases of prevalent neurological and psychiatric conditions. But slight changes in …
LESA: Longitudinal elastic shape analysis of brain subcortical structures
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 …
accurately visualizing the change and development of the brain's subcortical structures (eg …
Multi-resolution shape analysis via non-euclidean wavelets: Applications to mesh segmentation and surface alignment problems
The analysis of 3-D shape meshes is a fundamental problem in computer vision, graphics,
and medical imaging. Frequently, the needs of the application require that our analysis take …
and medical imaging. Frequently, the needs of the application require that our analysis take …
Topology-based kernels with application to inference problems in Alzheimer's disease
Alzheimer's disease (AD) research has recently witnessed a great deal of activity focused on
developing new statistical learning tools for automated inference using imaging data. The …
developing new statistical learning tools for automated inference using imaging data. The …
Wavelet-based representation of biological shapes
Modeling, characterization and analysis of biological shapes and forms are important in
many computational biology studies. Shape representation challenges span the spectrum …
many computational biology studies. Shape representation challenges span the spectrum …
Cortical surface shape analysis based on spherical wavelet transformation
Shape analysis of neuroanatomical structures has proven useful in the study of
neuropathology and neurodevelopment. Advances in medical imaging have made it …
neuropathology and neurodevelopment. Advances in medical imaging have made it …
Spectral Laplace-Beltrami wavelets with applications in medical images
M Tan, A Qiu - IEEE transactions on medical imaging, 2014 - ieeexplore.ieee.org
The spectral graph wavelet transform (SGWT) has recently been developed to compute
wavelet transforms of functions defined on non-Euclidean spaces such as graphs. By …
wavelet transforms of functions defined on non-Euclidean spaces such as graphs. By …
A heat kernel based cortical thickness estimation algorithm
Cortical thickness estimation in magnetic resonance imaging (MRI) is an important
technique for research on brain development and neurodegenerative diseases. This paper …
technique for research on brain development and neurodegenerative diseases. This paper …