Difference between revisions of "Projects:BrainManifold"
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= Publications = | = Publications = | ||
+ | '' In Print '' | ||
''Published in MICCAI and ICCV'' | ''Published in MICCAI and ICCV'' | ||
* [http://www.cs.utah.edu/~sgerber/research/ Manifold Learning Research Page] | * [http://www.cs.utah.edu/~sgerber/research/ Manifold Learning Research Page] | ||
* [http://www.na-mic.org/publications/pages/display?search=BrainManifold&submit=Search&words=all&title=checked&keywords=checked&authors=checked&abstract=checked&sponsors=checked&searchbytag=checked| NA-MIC Publications Database] | * [http://www.na-mic.org/publications/pages/display?search=BrainManifold&submit=Search&words=all&title=checked&keywords=checked&authors=checked&abstract=checked&sponsors=checked&searchbytag=checked| NA-MIC Publications Database] | ||
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+ | '' In Press '' | ||
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+ | * S Gerber, T Tasdizen, R Whitaker, Dimensionality Reduction and Principal Surfaces via Kernel Map, ICCV 2009 | ||
+ | * S Gerber, T Tasdizen, S Joshi, R Whitaker, On the Manifold Structure of the Space of Brain Images, MICCAI 2009 | ||
[[Category:Statistics]] [[Category:Registration]] | [[Category:Statistics]] [[Category:Registration]] |
Revision as of 23:08, 20 October 2009
Home < Projects:BrainManifoldBack to Utah Algorithms
Brain Manifold Learning
This work investigates the use of manifold learning approaches in the context of brain population analysis. The goal is to construct a manifold model from a set of brain images that captures variability in shape, a parametrization of the shape space. Such a manifold model is interesting in several ways
- The low dimensional parametrization simplifies statistical analysis of populations.
- Applications to searching and browsing large database
- The manifold represents a localized Atlas. Alternative to template based applications, for example as a segmentation prior.
- Aid in clinical diagnosis. Different regions on the manifold can indicate different pathologies.
Description
Key Investigators
- Utah: Samuel Gerber, Tolga Tasdizen, Sarang Joshi, Tom Fletcher, Ross Whitaker
Publications
In Print Published in MICCAI and ICCV
In Press
- S Gerber, T Tasdizen, R Whitaker, Dimensionality Reduction and Principal Surfaces via Kernel Map, ICCV 2009
- S Gerber, T Tasdizen, S Joshi, R Whitaker, On the Manifold Structure of the Space of Brain Images, MICCAI 2009