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ASLPrep: A Generalizable Platform for Processing of Arterial Spin Labeled MRI and Quantification of Regional Brain Perfusion

Adebimpe, A.; Bertolero, M.; Dolui, S.; Cieslak, M.; Murtha, K.; Baller, E. B.; Boeve, B.; Boxer, A.; Butler, E. R.; Cook, P.; Colcombe, S.; Covitz, S.; Davatzikos, C.; Davila, D. G.; Elliott, M. A.; Flounders, M. W.; Franco, A. R.; Gur, R. E.; Gur, R. C.; Jaber, B.; McMillian, C.; the ALLFTD Consortium, ; Milham, M.; Oathe, D. J.; Olm, C. A.; Phillips, J. S.; Tackett, W.; Roalf, D. R.; Rosen, H.; Tapera, T. M.; Tisdall, M. D.; Esteban, O.; Poldrack, R. A.; Detre, J. A.; Satterthwaite, T. D.

2021-05-22 bioengineering
10.1101/2021.05.20.444998 bioRxiv
Show abstract

Arterial spin labeled (ASL) magnetic resonance imaging (MRI) is the primary method for non-invasively measuring regional brain perfusion in humans. We introduce ASLPrep, a suite of software pipelines that ensure the reproducible and generalizable processing of ASL MRI data.

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"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.