NiWrap wrappers for ANTs

Advanced Normalization Tools (ANTs) computes high-dimensional mappings to capture the statistics of brain structure and function. It is a state-of-the-art medical image registration and segmentation toolkit that allows one to organize, visualize, and statistically explore large biomedical image sets. ANTs integrates imaging modalities in space and time and works across species or organ systems with minimal customization. It has won several international, unbiased competitions such as MICCAI, BRATS, and STACOM.

ANTs is made by Brian B. Avants, Nicholas J. Tustison, Gang Song, James C. Gee, Philip A. Cook.

This package contains wrappers only and has no affiliation with the original authors.

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Credits

Author: Brian B. Avants, Nicholas J. Tustison, Gang Song, James C. Gee, Philip A. Cook

License

MIT

Requires

Python >=3.10

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This release

1.1.0 This release

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