15 citations · 19 across the 3 of their papers we have counts for
3 papers
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…
Explainable concept mappings of MRI: Revealing the mechanisms underlying deep learning-based brain disease classification
Christian Tinauer, Anna Damulina, Maximilian Sackl +9
Motivation. While recent studies show high accuracy in the classification of Alzheimer's disease using deep neural networks, the underlying learned concepts have not been investiga…
Recommended Implementation of Quantitative Susceptibility Mapping for Clinical Research in The Brain: A Consensus of the ISMRM Electro-Magnetic Tissue Properties Study Group
Berkin Bilgic, Mauro Costagli, Kwok-Shing Chan +15
This article provides recommendations for implementing quantitative susceptibility mapping (QSM) for clinical brain research. It is a consensus of the ISMRM Electro-Magnetic Tissue…