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fMRIflows: a consortium of fully automatic univariate and multivariate fMRI processing pipelines
View ORCID ProfileMichael P. Notter, View ORCID ProfilePeer Herholz, View ORCID ProfileSandra Da Costa, View ORCID ProfileOmer F. Gulban, View ORCID ProfileAyse Ilkay Isik, View ORCID ProfileMicah M. Murray
doi: https://doi.org/10.1101/2021.03.23.436650
Michael P. Notter
1The Laboratory for Investigative Neurophysiology (The LINE), Department of Radiology, University Hospital Center and University of Lausanne, Switzerland
Peer Herholz
2International Laboratory for Brain, Music and Sound Research, Université de Montréal & McGill University, Montréal, Canada
3McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, Canada
Sandra Da Costa
4CIBM Center for Biomedical Imaging, Lausanne, Switzerland
Omer F. Gulban
5Department of Cognitive Neuroscience, Maastricht University, The Netherlands
6Brain Innovation B.V., Maastricht, The Netherlands
Ayse Ilkay Isik
7Department of Neuroscience, Max Planck Institute for Empirical Aesthetics, Frankfurt am Main, Germany
Micah M. Murray
1The Laboratory for Investigative Neurophysiology (The LINE), Department of Radiology, University Hospital Center and University of Lausanne, Switzerland
4CIBM Center for Biomedical Imaging, Lausanne, Switzerland
8Department of Ophthalmology, Fondation Asile des aveugles and University of Lausanne, Lausanne, Switzerland
9Department of Hearing and Speech Sciences, Vanderbilt University, Nashville, TN, USA
Posted March 23, 2021.
fMRIflows: a consortium of fully automatic univariate and multivariate fMRI processing pipelines
Michael P. Notter, Peer Herholz, Sandra Da Costa, Omer F. Gulban, Ayse Ilkay Isik, Micah M. Murray
bioRxiv 2021.03.23.436650; doi: https://doi.org/10.1101/2021.03.23.436650
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