Explainable Concept Mappings of MRI: Revealing the Mechanisms Underlying Deep Learning-Based Brain Disease Classification. - Christian Tinauer; Anna Damulina; Maximilian Sackl; Martin Soellradl; Reduan Achtibat; Maximilian Dreyer; Frederik Pahde; Sebastian Lapuschkin; Reinhold Schmidt; Stefan Ropele; Wojciech Samek; Christian Langkammer (xAI (2), 2024)

Fully Automated Hippocampus Segmentation using T2-informed Deep Convolutional Neural Networks. - Maximilian Sackl; Christian Tinauer; Martin Urschler; Christian Enzinger; Rudolf Stollberger; Stefan Ropele (NeuroImage, 2024)

Pfungst and Clever Hans: Identifying the unintended cues in a widely used Alzheimer's disease MRI dataset using explainable deep learning. - Christian Tinauer; Maximilian Sackl; Rudolf Stollberger; Stefan Ropele; Christian Langkammer (CoRR, 2025)

Identifying Alzheimer's Disease Prediction Strategies of Convolutional Neural Network Classifiers using R2* Maps and Spectral Clustering. - Christian Tinauer; Maximilian Sackl; Stefan Ropele; Christian Langkammer (CoRR, 2025)