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» On the Manifold Structure of the Space of Brain Images
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MICCAI
2004
Springer
16 years 16 days ago
Multi-channel Mutual Information Using Scale Space
We propose a new voxel similarity measure which utilises local image structure as well intensity information. Gaussian scale space derivatives are used to provide the structural in...
Mark Holden, Lewis D. Griffin, Nadeem Saeed, Derek...
CVPR
2010
IEEE
15 years 5 months ago
Putting local features on a Manifold
Local features have proven very useful for recognition. Manifold learning has proven to be a very powerful tool in data analysis. However, manifold learning application for imag...
Marwan Torki and Ahmed Elgammal
MICCAI
2007
Springer
16 years 17 days ago
Global Medical Shape Analysis Using the Laplace-Beltrami Spectrum
This paper proposes to use the Laplace-Beltrami spectrum (LBS) as a global shape descriptor for medical shape analysis, allowing for shape comparisons using minimal shape preproces...
Marc Niethammer, Martin Reuter, Franz-Erich Wolter...
MM
2004
ACM
167views Multimedia» more  MM 2004»
15 years 5 months ago
Learning an image manifold for retrieval
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
Xiaofei He, Wei-Ying Ma, HongJiang Zhang
ISBI
2004
IEEE
16 years 11 days ago
Towards a Shape Model of White Matter Fiber Bundles Using Diffusion Tensor MRI
White matter fiber bundles of the human brain form a spatial pattern defined by the anatomical and functional architecture. Human brain atlases provide names for individual tracts...
Isabelle Corouge, Guido Gerig, Sylvain Gouttard