%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 yaff %P 2024--09 %R https://doi.org/10.1101/2024.09.27.615357 %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}, doi = {https://doi.org/10.1101/2024.09.27.615357}, interhash = {1e572aff7e802398f99fc219f0b2e028}, intrahash = {0e76cb637f08f9ec7458bd6f96ecf3da}, journal = {bioRxiv}, keywords = {imported yaff}, pages = {2024--09}, publisher = {Cold Spring Harbor Laboratory}, timestamp = {2025-02-12T11:54:00.000+0100}, title = {The utility of explainable AI for MRI analysis: Relating model predictions to neuroimaging features of the aging brain}, year = 2024 }