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FastSurfer

FastSurfer is a fast and accurate deep-learning pipeline for the analysis of human brain MRI. FastSurfer provides a fully compatible FreeSurfer alternative for volumetric and surface-based thickness analysis, also supporting sub-mm resolutions, and sub-segmentation of neuroanatomical structures.

Data analysis
Deep Learning
Image processing
+ 3

Jupyter Notebook
Python
Shell
+ 1

259

Julearn

Julearn aims to provide an easy-to-use but flexible interface to build predictive models with cross-validation (CV) consistent performance estimates. It poses as a solution accessible to domain experts without extensive ML training, enabling them to quickly fit and evaluate ML algorithms.

Machine learning
Neuroimaging
python

Python

HIPSTA

The HIPpocampal Shape and Thickness Analysis Toolbox (HIPSTA) present a geometry-based method for the analysis of local hippocampal thickness and curvature and constructs an intrinsic coordinate system (unrolling/flattening) for statistical analysis across multiple participants.

MRI
Neuroimaging
open source
+ 1

Python
Dockerfile

FSQC

This package provides quality assurance / quality control scripts for FastSurfer- or FreeSurfer-processed structural MRI data.

Data analysis
MRI
Neuroimaging
+ 2

Python
Dockerfile