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nipreps / mriqc-learn

Learning on MRIQC-generated image quality metrics (IQMs).
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Robuster robust normalization #13

Open oesteban opened 7 years ago

oesteban commented 7 years ago

Consider using MCD (http://scikit-learn.org/stable/auto_examples/covariance/plot_robust_vs_empirical_covariance.html) to calculate the sitewise location and spread of features.

(Also worth looking at https://arxiv.org/abs/1707.09752 for alternative ideas)

oesteban commented 7 years ago

Alternatively/additionally, we could use https://arxiv.org/abs/1601.07251 to identify deviating data cells, and mask those out of the parameter estimation in the robust sitewise normalization.

stale[bot] commented 5 years ago

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

stale[bot] commented 5 years ago

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.