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eess.IV2025
Skull-stripping induces shortcut learning in MRI-based Alzheimer's disease classification
Christian Tinauer, Maximilian Sackl, Rudolf Stollberger +3
Objectives: High classification accuracy of Alzheimer's disease (AD) from structural MRI has been achieved using deep neural networks, yet the specific image features contributing…
eess.IV2025
Identifying Alzheimer's Disease Prediction Strategies of Convolutional Neural Network Classifiers using R2* Maps and Spectral Clustering
Christian Tinauer, Maximilian Sackl, Stefan Ropele +1
Deep learning models have shown strong performance in classifying Alzheimer's disease (AD) from R2* maps, but their decision-making remains opaque, raising concerns about interpret…