Harmonization tools for multi-site neuroimaging analysis. Implemented as a python package. Harmonization of MRI, sMRI, dMRI, fMRI variables with support for NIFTI images. Complements the work in Neuroimage by Pomponio et al. (2019).
The outputs bayes_data and s_data of harmonizationLearn() represent the same kind of data, once with and once without correction of confounds. Thus, these should also have the same shape. This PR will transpose s_data to have the same shape as bayes_data.
The outputs
bayes_dataands_dataofharmonizationLearn()represent the same kind of data, once with and once without correction of confounds. Thus, these should also have the same shape. This PR will transposes_datato have the same shape asbayes_data.