Persistent Homology Analysis of Brain Artery Trees.

@article{Bendich2016PersistentHA,
  title={Persistent Homology Analysis of Brain Artery Trees.},
  author={Paul Bendich and J. S. Marron and Ezra Miller and Alex Pieloch and Sean Skwerer},
  journal={The annals of applied statistics},
  year={2016},
  volume={10 1},
  pages={
          198-218
        }
}
New representations of tree-structured data objects, using ideas from topological data analysis, enable improved statistical analyses of a population of brain artery trees. A number of representations of each data tree arise from persistence diagrams that quantify branching and looping of vessels at multiple scales. Novel approaches to the statistical analysis, through various summaries of the persistence diagrams, lead to heightened correlations with covariates such as age and sex, relative to… 
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