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Poster

xai4mri – A python toolbox for explainable deep-learning-based MRI predictions

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Hofmann,  Simon       
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Method and Development Group Neural Data Science and Statistical Computing, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Scherf,  Nico       
Method and Development Group Neural Data Science and Statistical Computing, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Gaebler,  Michael       
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Villringer,  Arno       
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Witte,  A. Veronica       
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Beyer,  Frauke       
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Citation

Hofmann, S., Scherf, N., Gaebler, M., Villringer, A., Witte, A. V., & Beyer, F. (2024). xai4mri – A python toolbox for explainable deep-learning-based MRI predictions. Poster presented at Annual Meeting of the Society for Neuroscience 2024 (SfN), Chicago, IL, USA.


Cite as: https://hdl.handle.net/21.11116/0000-0010-8B32-9
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