Original paper
Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis
Abstract
Many methods have been proposed for computer-assisted diagnostic classification. Full tensor information and machine learning with 3D maps derived from brain images may help detect subtle differences or classify subjects into different groups. Here we develop a new approach to apply tensor-based morphometry to parametric surface models for diagnostic classification. We use this approach to identify cortical surface features for use in diagnostic...
Paper Details
Title
Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis
Published Date
Jul 1, 2013
Journal
Volume
74
Pages
209 - 230
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History