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Explainable concept mappings of MRI: Revealing the mechanisms underlying
  deep learning-based brain disease classification

Explainable concept mappings of MRI: Revealing the mechanisms underlying deep learning-based brain disease classification

16 April 2024
C. Tinauer
A. Damulina
Maximilian Sackl
M. Soellradl
Reduan Achtibat
Maximilian Dreyer
Frederik Pahde
Sebastian Lapuschkin
Reinhold Schmidt
Stefan Ropele
Wojciech Samek
C. Langkammer
    FAtt
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Papers citing "Explainable concept mappings of MRI: Revealing the mechanisms underlying deep learning-based brain disease classification"

1 / 1 papers shown
Title
Pfungst and Clever Hans: Identifying the unintended cues in a widely used Alzheimer's disease MRI dataset using explainable deep learning
Pfungst and Clever Hans: Identifying the unintended cues in a widely used Alzheimer's disease MRI dataset using explainable deep learning
C. Tinauer
Maximilian Sackl
Rudolf Stollberger
Stefan Ropele
C. Langkammer
AAML
40
0
0
27 Jan 2025
1