generic predictive framework to evaluate predictive power of arbitrary feature to target mapping
visualization modules for neuroimaging data
quality control for neuroscience data, including imaging
Individualized single-subject networks from T1 mri features such as cortical thickness and gray matter density.
Tools and scripts for visualization and comparison of 3d MRI scans (T1, T2 etc)
Assistive tool to improve the quality control workflow of neuroimaging data.
Histogram-weighted Networks for Feature Extraction and Advance Analysis in Neuroscience
python library for connectome-based white matter atlas analyses in neuroimaging
Neuroimaging Predictive Analysis
Python-based data structure to improve handling of datasets in machine learning workflows
Generic feature extraction package for neuroimaging features (examples include: connectivity from rs-fmri, regional mean fractional anisotropy, structural covariance etc)