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

Hofmann, Simon; Scherf, Nico; Gaebler, Michael; Villringer, Arno; Witte, A. Veronica; Beyer, Frauke

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

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.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0010-8B32-9 Version Permalink: https://hdl.handle.net/21.11116/0000-0010-8B33-8

Genre: Poster

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Creators:
Hofmann, Simon¹, Author
Scherf, Nico², Author
Gaebler, Michael¹, Author
Villringer, Arno¹, Author
Witte, A. Veronica¹, Author
Beyer, Frauke¹, Author

Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549
2Method and Development Group Neural Data Science and Statistical Computing, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_3282987

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Language(s): eng - English

Dates: Created: 2024-10

Publication Status: Not specified

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Title: Annual Meeting of the Society for Neuroscience 2024 (SfN)

Place of Event: Chicago, IL, USA

Start-/End Date: 2024-10-05 - 2024-10-09

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