Deep-MI/FastSurfer

Neuroimaging analysis and visualization suite

Machine learning for NeuroImaging in Python

Processing pipelines for the HCP

Pycortex is a python-based toolkit for surface visualization of fMRI data

DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

A framework for high-performance medical image processing, neural network inference and visualization

fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

Tool for robust segmentation of >100 important anatomical structures in CT and MR images