Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis o...
Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness
About this item
Full title
Author / Creator
Publisher
Amsterdam: Elsevier Inc
Journal title
Language
English
Formats
Publication information
Publisher
Amsterdam: Elsevier Inc
Subjects
More information
Scope and Contents
Contents
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 analysis may be able to identify specific cortical patterns that relate to certain disease characteristics or exhibit differences between groups. Our goal in this paper is t...
Alternative Titles
Full title
Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4095794
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4095794
Other Identifiers
ISSN
1053-8119
E-ISSN
1095-9572
DOI
10.1016/j.neuroimage.2014.02.028
