Individualized single-subject networks from T1 mri features such as cortical thickness and gray matter density.
Histogram-weighted Networks for Feature Extraction and Advance Analysis in Neuroscience
Generic feature extraction package for neuroimaging features (examples include: connectivity from rs-fmri, regional mean fractional anisotropy, structural covariance etc)
Neuroimaging Predictive Analysis
Python-based data structure to improve handling of datasets in machine learning workflows
Tool to automate the quality assurance of pial and white matter surfaces from Freesurfer Parcellation