A reproducible evaluation of ANTs similarity metric performance in brain image registration

@article{Avants2011ARE,
  title={A reproducible evaluation of ANTs similarity metric performance in brain image registration},
  author={Brian B. Avants and Nicholas J. Tustison and Gang Song and Philip A. Cook and Arno Klein and James C. Gee},
  journal={NeuroImage},
  year={2011},
  volume={54},
  pages={2033-2044}
}
The United States National Institutes of Health (NIH) commit significant support to open-source data and software resources in order to foment reproducibility in the biomedical imaging sciences. Here, we report and evaluate a recent product of this commitment: Advanced Neuroimaging Tools (ANTs), which is approaching its 2.0 release. The ANTs open source software library consists of a suite of state-of-the-art image registration, segmentation and template building tools for quantitative… CONTINUE READING
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