ML Anthology

A Riemannian Approach for Estimating Orientation Distribution Function (ODF) Images from High-Angular Resolution Diffusion Imaging (HARDI)

Kai Krajsek, Hanno Scharr
CVPR 2012 pp. 1019-1026
doi:10.1109/CVPR.2012.6247779 /cvpr/2012/krajsek2012cvpr-riemannian/
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Cite

Text

Krajsek and Scharr. "A Riemannian Approach for Estimating Orientation Distribution Function (ODF) Images from High-Angular Resolution Diffusion Imaging (HARDI)." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2012. doi:10.1109/CVPR.2012.6247779

Markdown

[Krajsek and Scharr. "A Riemannian Approach for Estimating Orientation Distribution Function (ODF) Images from High-Angular Resolution Diffusion Imaging (HARDI)." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2012.](https://mlanthology.org/cvpr/2012/krajsek2012cvpr-riemannian/) doi:10.1109/CVPR.2012.6247779

BibTeX

@inproceedings{krajsek2012cvpr-riemannian,
  title     = {{A Riemannian Approach for Estimating Orientation Distribution Function (ODF) Images from High-Angular Resolution Diffusion Imaging (HARDI)}},
  author    = {Krajsek, Kai and Scharr, Hanno},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2012},
  pages     = {1019-1026},
  doi       = {10.1109/CVPR.2012.6247779},
  url       = {https://mlanthology.org/cvpr/2012/krajsek2012cvpr-riemannian/}
}