Title	Spectral Matching - Application to Brain Surfaces
Creator	Lombaert, Hervé
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2018-07-05T11:12
Description	How to analyze complex shapes, such as of the highly folded surface of the brain This talk will show how spectral representations of shapes can benefit neuroimaging. Here, we exploit spectral coordinates derived from the eigenfunctions of the graph Laplacian. Methodologically, we address the inherent instability of spectral shape decompositions. This change of paradigm, exploiting spectral representations, enables an intrinsic processing of brain surfaces. Brain surface matching will be shown as an example.
Extent	28.0
Subject	Mathematics; Numerical analysis; Computer science; Global analysis
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: ETS Montreal - Inria Sophia Antipolis
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2019-03-20
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0377218
URI	http://hdl.handle.net/2429/68988
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Researcher
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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