Software
We develop software for image processing, curation, quality assurance, and analysis. All software relies upon an open development model and "glass box" design. Together, these tools help accelerate reproducible neuroscience at scale.
XCP-D (Mehta & Salo et al., Imaging Neuroscience 2024) provides post-processing for fMRI data that has been processed using fMRIPrep or HCP pipelines. Features include quality assurance, confound regression, and many derived measures including networks at multiple scales.
XCP-D
24k+
# downloaded
24k+
as of
10/27/25
The BIDS App Boostrap (BABS; Zhao et al., Imaging Neuroscience 2024) is a user-friendly and generalizable Python package for reproducible image processing at scale. By leveraging DataLad, BABS facilitates the reproducible application of BIDS Apps to large-scale datasets.
BABS
250+
# downloaded
250+
as of
10/27/25









