Automating neuroimaging analysis workflows with Nipype, Arcana and Banana
Analysis of neuroimaging-research data involves the sequential application of algorithms implemented in a number of heterogeneous toolkits (e.g. FSL, SPM, MRTrix, ANTs, AFNI, DiPy). The workshop will show how to wrap neuroimaging tools within consistent interfaces and link them together into robust workflows using the Nipype Python package (http://nipype.readthedocs.io).
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