fMRIDenoise - automated denoising and denoising strategies comparison for fMRI data

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fMRIDenoise is tool for automatic denoising, denoising strategies comparisons, and functional connectivity data quality control. The goal of fMRIDenoise is to provide an objective way to select best-performing denoising strategy given the data. The tool is designed to work directly on fMRIPrep <https://fmriprep.readthedocs.io>-preprocessed datasets and data in BIDS <https://bids.neuroimaging.io/> standard. We believe that the tool can make the selection of the denoising strategy more objective and also help researchers to obtain FC quality control metrics with almost no effort.

The project is in beta stage and we are looking for feedback and collaborators.

Problem

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Solution

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More information and documentation can be found at https://fmridenoise.readthedocs.io/