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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…
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…