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MICCAI
2004
Springer
14 years 6 months ago
3D Bayesian Regularization of Diffusion Tensor MRI Using Multivariate Gaussian Markov Random Fields
3D Bayesian regularization applied to diffusion tensor MRI is presented here. The approach uses Markov Random Field ideas and is based upon the definition of a 3D neighborhood syst...
Marcos Martín-Fernández, Carl-Fredri...
TVCG
2010
147views more  TVCG 2010»
13 years 3 months ago
Superquadric Glyphs for Symmetric Second-Order Tensors
—Symmetric second-order tensor fields play a central role in scientific and biomedical studies as well as in image analysis and feature-extraction methods. The utility of displ...
Thomas Schultz, Gordon L. Kindlmann
ICIP
2010
IEEE
13 years 3 months ago
Bayesian regularization of diffusion tensor images using hierarchical MCMC and loopy belief propagation
Based on the theory of Markov Random Fields, a Bayesian regularization model for diffusion tensor images (DTI) is proposed in this paper. The low-degree parameterization of diffus...
Siming Wei, Jing Hua, Jiajun Bu, Chun Chen, Yizhou...
ECCV
2006
Springer
13 years 9 months ago
An Efficient Method for Tensor Voting Using Steerable Filters
In many image analysis applications there is a need to extract curves in noisy images. To achieve a more robust extraction, one can exploit correlations of oriented features over a...
Erik Franken, Markus van Almsick, Peter Rongen, Lu...
ICASSP
2008
IEEE
13 years 11 months ago
Generic and typical ranks of three-way arrays
The concept of tensor rank, introduced in the twenties, has been popularized at the beginning of the seventies. This has allowed to carry out Factor Analysis on arrays with more t...
Pierre Comon, Jos M. F. ten Berge