NiWrap wrappers for NiftyReg

NiftyReg is an open-source medical image registration toolkit that provides tools for rigid, affine, and non-linear registration of medical images. It implements a block-matching approach (reg_aladin) for global registration and a fast free-form deformation algorithm based on cubic B-splines (reg_f3d) for non-linear registration, with both CPU and GPU implementations. NiftyReg was developed at the Centre for Medical Image Computing (CMIC) at University College London.

NiftyReg is made by Marc Modat, Pankaj Daga, M. Jorge Cardoso, David Cash, Sebastien Ourselin.

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

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  • Released:
Newer release available (1.1.0)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for cmi-dair from gravatar.com cmi-dair

Credits

Author: Marc Modat, Pankaj Daga, M. Jorge Cardoso, David Cash, Sebastien Ourselin

License

MIT

Requires

Python >=3.10

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1.1.0

2 files

This release

1.0.5 This release

2 files

1.0.4

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1.0.3

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1.0.2

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1.0.1

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1.0.0

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0.9.3

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0.8.13

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0.8.0

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0.7.0

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0.6.3

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0.6.2

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0.6.1

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0.6.0

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0.5.3

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0.5.2

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0.5.1

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0.5.0

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