%0 Journal Article %1 Hofmann_2024 %A Hofmann, Simon M. %A Goltermann, Ole %A Scherf, Nico %A Müller, Klaus-Robert %A Löffler, Markus %A Villringer, Arno %A Gaebler, Michael %A Witte, A. Veronica %A Beyer, Frauke %D 2024 %I Cold Spring Harbor Laboratory %K imported yaff %R 10.1101/2024.09.27.615357 %T The utility of explainable A.I. for MRI analysis: Relating model predictions to neuroimaging features of the aging brain %U http://dx.doi.org/10.1101/2024.09.27.615357

@article{Hofmann_2024, added-at = {2024-12-16T11:12:38.000+0100}, author = {Hofmann, Simon M. and Goltermann, Ole and Scherf, Nico and Müller, Klaus-Robert and Löffler, Markus and Villringer, Arno and Gaebler, Michael and Witte, A. Veronica and Beyer, Frauke}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/283f8e7b30f472a1bf732077857e5f379/scadsfct}, doi = {10.1101/2024.09.27.615357}, interhash = {5a8f0edb7af9744d08c2f90331811780}, intrahash = {83f8e7b30f472a1bf732077857e5f379}, keywords = {imported yaff}, month = oct, publisher = {Cold Spring Harbor Laboratory}, timestamp = {2025-02-13T14:54:58.000+0100}, title = {The utility of explainable A.I. for MRI analysis: Relating model predictions to neuroimaging features of the aging brain}, url = {http://dx.doi.org/10.1101/2024.09.27.615357}, year = 2024 }