BABS: BIDS App Bootstrap

Citation
Zhao, C., Jarecka, D., Covitz, S., Chen, Y., Eickhoff, S. B., Fair, D. A., … & Satterthwaite, T. D. (2024). A reproducible and generalizable software workflow for analysis of large-scale neuroimaging data collections using BIDS Apps. Imaging Neuroscience, 2, 1-19. doi:10.1162/imag_a_00074.

Zhao, C., Chen, Y., Jarecka, D., Ghosh, S., Cieslak, M., & Satterthwaite, T. D. (2024). BABS in Action: Merging Reproducibility and Scalability for Large-Scale Neuroimaging Analysis With BIDS Apps. Biological Psychiatry, 95(10), S21-S22. doi:10.1016/j.biopsych.2024.02.056.

Most of the AI2D datasets were processed using BABS (see example: CCNP).

BABS implements the “FAIRly-big” framework (Wagner et al., 2021) for reproducible image processing, ensuring all data analyses using BIDS-apps were accompanied by a full audit trail in Datalad (Halchenko et al., 2021).