ML Anthology

Modeling of Anatomical Information in Clustering of White Matter Fiber Trajectories Using Dirichlet Distribution

Mahnaz Maddah, Lilla Zöllei, W. Eric L. Grimson, William M. Wells Iii
CVPRW 2008 pp. 1-7
doi:10.1109/CVPRW.2008.4563003 /cvprw/2008/maddah2008cvprw-modeling/

Abstract

In this work, we describe a white matter trajectory clustering algorithm that allows for incorporating and appropriately weighting anatomical information. The influence of the anatomical prior reflects confidence in its accuracy and relevance. It can either be defined by the user or it can be inferred automatically. After a detailed description of our novel clustering framework, we demonstrate its properties through a set of preliminary experiments.

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Cite

Text

Maddah et al. "Modeling of Anatomical Information in Clustering of White Matter Fiber Trajectories Using Dirichlet Distribution." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008. doi:10.1109/CVPRW.2008.4563003

Markdown

[Maddah et al. "Modeling of Anatomical Information in Clustering of White Matter Fiber Trajectories Using Dirichlet Distribution." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008.](https://mlanthology.org/cvprw/2008/maddah2008cvprw-modeling/) doi:10.1109/CVPRW.2008.4563003

BibTeX

@inproceedings{maddah2008cvprw-modeling,
  title     = {{Modeling of Anatomical Information in Clustering of White Matter Fiber Trajectories Using Dirichlet Distribution}},
  author    = {Maddah, Mahnaz and Zöllei, Lilla and Grimson, W. Eric L. and Iii, William M. Wells},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2008},
  pages     = {1-7},
  doi       = {10.1109/CVPRW.2008.4563003},
  url       = {https://mlanthology.org/cvprw/2008/maddah2008cvprw-modeling/}
}