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Towards the Interpretability of Deep Learning Models for Multi-modal Neuroimaging: Finding Structural Changes of the Ageing Brain
View ORCID ProfileSimon M. Hofmann, View ORCID ProfileFrauke Beyer, View ORCID ProfileSebastian Lapuschkin, View ORCID ProfileOle Goltermann, Markus Loeffler, View ORCID ProfileKlaus-Robert Müller, View ORCID ProfileArno Villringer, View ORCID ProfileWojciech Samek, View ORCID ProfileA. Veronica Witte
doi: https://doi.org/10.1101/2021.06.25.449906
Simon M. Hofmann
aDepartment of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany
bDepartment of Artificial Intelligence, Fraunhofer Institute Heinrich Hertz, 10587 Berlin, Germany
cClinic for Cognitive Neurology, University of Leipzig Medical Center, 04103 Leipzig, Germany
Frauke Beyer
aDepartment of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany
cClinic for Cognitive Neurology, University of Leipzig Medical Center, 04103 Leipzig, Germany
Sebastian Lapuschkin
bDepartment of Artificial Intelligence, Fraunhofer Institute Heinrich Hertz, 10587 Berlin, Germany
Ole Goltermann
aDepartment of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany
dMax Planck School of Cognition, 04103 Leipzig, Germany
Markus Loeffler
eIMISE, University of Leipzig, 04103 Leipzig, Germany
Klaus-Robert Müller
fMachine Learning Group, Technical University Berlin, 10623 Berlin, Germany
gDepartment of Artificial Intelligence, Korea University, 02841 Seoul, South Korea
hBrain Team, Google Research, 10117 Berlin, Germany
iMax Planck Institute for Informatics, 66123 Saarbrücken, Germany
jBIFOLD - Berlin Institute for the Foundations of Learning and Data, 10587 Berlin, Germany
Arno Villringer
aDepartment of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany
cClinic for Cognitive Neurology, University of Leipzig Medical Center, 04103 Leipzig, Germany
kMindBrainBody Institute, Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, 10099 Berlin, Germany
lCenter for Stroke Research, Charité – Universitätsmedizin Berlin, 10117 Berlin, Germany
Wojciech Samek
bDepartment of Artificial Intelligence, Fraunhofer Institute Heinrich Hertz, 10587 Berlin, Germany
jBIFOLD - Berlin Institute for the Foundations of Learning and Data, 10587 Berlin, Germany
A. Veronica Witte
aDepartment of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany
cClinic for Cognitive Neurology, University of Leipzig Medical Center, 04103 Leipzig, Germany
Posted June 08, 2022.
Towards the Interpretability of Deep Learning Models for Multi-modal Neuroimaging: Finding Structural Changes of the Ageing Brain
Simon M. Hofmann, Frauke Beyer, Sebastian Lapuschkin, Ole Goltermann, Markus Loeffler, Klaus-Robert Müller, Arno Villringer, Wojciech Samek, A. Veronica Witte
bioRxiv 2021.06.25.449906; doi: https://doi.org/10.1101/2021.06.25.449906
Towards the Interpretability of Deep Learning Models for Multi-modal Neuroimaging: Finding Structural Changes of the Ageing Brain
Simon M. Hofmann, Frauke Beyer, Sebastian Lapuschkin, Ole Goltermann, Markus Loeffler, Klaus-Robert Müller, Arno Villringer, Wojciech Samek, A. Veronica Witte
bioRxiv 2021.06.25.449906; doi: https://doi.org/10.1101/2021.06.25.449906
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