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%0 Journal Article
%1 hofmann2024utility
%A Hofmann, Simon M
%A Goltermann, Ole
%A Scherf, Nico
%A Mueller, Klaus-Robert
%A Loeffler, Markus
%A Villringer, Arno
%A Gaebler, Michael
%A Witte, A Veronica
%A Beyer, Frauke
%D 2024
%I Cold Spring Harbor Laboratory
%J bioRxiv
%K imported
%P 2024--09
%T The utility of explainable AI for MRI analysis: Relating model predictions to neuroimaging features of the aging brain
@article{hofmann2024utility,
added-at = {2024-12-19T10:56:19.000+0100},
author = {Hofmann, Simon M and Goltermann, Ole and Scherf, Nico and Mueller, Klaus-Robert and Loeffler, Markus and Villringer, Arno and Gaebler, Michael and Witte, A Veronica and Beyer, Frauke},
biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/20e76cb637f08f9ec7458bd6f96ecf3da/scadsfct},
interhash = {1e572aff7e802398f99fc219f0b2e028},
intrahash = {0e76cb637f08f9ec7458bd6f96ecf3da},
journal = {bioRxiv},
keywords = {imported},
pages = {2024--09},
publisher = {Cold Spring Harbor Laboratory},
timestamp = {2024-12-19T10:56:19.000+0100},
title = {The utility of explainable AI for MRI analysis: Relating model predictions to neuroimaging features of the aging brain},
year = 2024
}
