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Our opportunity to integrate MRIQC or MRQA could be accomplished by defining these as "models" similar to what we are currently doing for Dzénan's NN_inference model. We might consider extending MIQA to support a list of Evaluation objects attached to a Frame instead of the current 1:1 relationship. I don't know what other problems that might cause, though...
Classical image quality metrics can be additional information, in addition to outputs of our trained neural network models.
MRIQC: https://github.com/poldracklab/mriqc
MRQy: https://github.com/ccipd/MRQy
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