98 search results - page 8 / 20 » On the Manifold Structure of the Space of Brain Images |
MICCAI
2003
Springer
16 years 17 days ago
2003
Springer
We present a new brain segmentation framework which we apply to T1-weighted magnetic resonance image segmentation. The innovation of the algorithm in comparison to the state-of-the...
113
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SIAMIS
2011
14 years 6 months ago
2011
We define a novel metric on the space of closed planar curves which decomposes into three intuitive components. According to this metric centroid translations, scale changes and ...
107
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CVPR
2008
IEEE
15 years 6 months ago
2008
IEEE
While low-dimensional image representations have been very popular in computer vision, they suffer from two limitations: (i) they require collecting a large and varied training se...
110
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SDM
2007
SIAM
15 years 1 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
149
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MICCAI
2001
Springer
15 years 4 months ago
2001
Springer
Standard practice in quantitative structural neuroimaging is a segmentation into brain tissue, subcortical structures, fluid space and lesions followed by volume calculations of gr...