is a Python module for fast and easy statistical learning on NeuroImaging data.

It leverages the scikit-learn Python toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis.

is a software application used to segment structures in 3D medical images.

is an open source, freely available visualization and discovery tool used to map neuroimaging data, especially data generated by the Human Connectome Project. The distribution includes wb_view, a GUI-based visualiation platform, and wb_command, a command-line program for performing a variety of algorithmic tasks using volume, surface, and grayordinate data.

is a set of C programs for processing, analyzing, and displaying functional MRI (FMRI) data - a technique for mapping human brain activity.

is a free and open-source platform for analyzing and understanding medical image data.

is a software package for the analysis and visualization of structural and functional neuroimaging data from cross-sectional or longitudinal studies.

extracts information from complex datasets that include imaging (Word Cloud). Paired with ANTsR (answer), ANTs is useful for managing, interpreting and visualizing multidimensional data. ANTs is popularly considered a state-of-the-art medical image registration and segmentation toolkit. ANTsR is an emerging tool supporting standardized multimodality image analysis. ANTs depends on the Insight ToolKit (ITK), a widely used medical image processing library to which ANTs developers contribute.