## **Executing BIDS-Apps on large datasets and the NeuroImaging PREProcessing toolS (NiPreps) framework** ## **Oscar Esteban,** University Hospital of Lausanne and University of Lausanne **Relevant work:** The link to Sunday's talk is [here][1]. The Esteban et al. Nature Methods paper is [here][2]. **Softwares/programs requirements:** [Singularity][3] or [Docker][4] for containerization. BIDS apps are [here][5]. The NiPreps webpage is [here][6]. TemplateFlow is [here][7]. **AOMICS dataset:** [ID1000][8], [PIOP1][9], [PIOP2][10] **Modalities:** T1w, DWI, fMRI **Abstract:** The current neuroimaging workflow has matured into a large chain of processing and analysis steps involving a large number of experts, across imaging modalities and applications. The vision for NiPreps is to provide and users (.e., researchers) with applications that allow them to perform quality control smoothly and to prepare their data for modeling and statistical analysis. [1]: https://www.nipreps.org/assets/OHBM2022/#1 [2]: https://www.nature.com/articles/s41592-018-0235-4 [3]: https://sylabs.io/ [4]: https://www.docker.com/ [5]: https://bids-apps.neuroimaging.io/apps/ [6]: https://www.nipreps.org/ [7]: https://www.templateflow.org/ [8]: https://openneuro.org/datasets/ds003097 [9]: https://openneuro.org/datasets/ds002785/versions/2.0.0 [10]: https://openneuro.org/datasets/ds002790/versions/2.0.0