Metadata-Version: 2.4
Name: niwrap_fastsurfer
Version: 1.0.0
Summary: FastSurfer is a fast and accurate deep-learning-based neuroimaging pipeline that provides a full FreeSurfer alternative for volumetric analysis (via FastSurferVINN) and surface-based thickness analysis (via recon-surf). It can segment a whole brain MRI scan in under one minute on a GPU and produces FreeSurfer-compatible outputs, making it a drop-in replacement for FreeSurfer's recon-all pipeline.
Author: Martin Reuter, Leonie Henschel, David Kuegler
License: MIT
Requires-Python: >=3.10
Description-Content-Type: text/markdown
Requires-Dist: styxdefs<0.8.0,>=0.7.0

# NiWrap wrappers for [FastSurfer](https://github.com/Deep-MI/FastSurfer)

FastSurfer is a fast and accurate deep-learning-based neuroimaging pipeline that provides a full FreeSurfer alternative for volumetric analysis (via FastSurferVINN) and surface-based thickness analysis (via recon-surf). It can segment a whole brain MRI scan in under one minute on a GPU and produces FreeSurfer-compatible outputs, making it a drop-in replacement for FreeSurfer's recon-all pipeline. FastSurfer includes FastSurferVINN for whole brain segmentation, CerebNet for cerebellum sub-segmentation, and HypVINN for hypothalamus sub-segmentation.

FastSurfer is made by Martin Reuter, Leonie Henschel, David Kuegler.

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