ThomasYeoLab/CBIG

Neuroimaging analysis and visualization suite

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.

Workflows and interfaces for neuroimaging packages

Brain Imaging Analysis Kit

Processing pipelines for the HCP

Machine learning for NeuroImaging in Python

MetaBCI: China’s first open-source platform for non-invasive brain computer interface. The project of MetaBCI is led by Prof. Minpeng Xu from Tianjin University, China.

PyTorch implementation of FastSurferCNN

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.