MRIQC classificator can't recognize MRI volumes with missing part of brain

[sfratus005]

HI,
I have some volumes ruined after running a defacing algorithm (before using mriqc), like this one:

I hoped that mriqc+mriqc_clf could help me identifying the failed ones, but unfortunately it's not the case (for example the volume of the image is classified as 0 with a probability of 0.47). Is it because the analysis performed by mriqc take into account only the parts that are not considered as background? Do you think that there is something I can do to detect the ruined volumes? Some metrics of mriqc that you would expect to be unusual in these cases or something like that? Just watching the graphs honestly I couldn't find any big differences from the values of other datasets that don't have this issue.

[oesteban]

Unfortunately, I don't think MRIQC will pick that up normally. However, @koriavinash1 and @shashankbansal6 and @jbwexler are working precisely on this problem.

[sfratus005]

Please keep me updated if any news comes up, and thank you very much!