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20202026
most citedImage analysis for Alzheimer's disease prediction: Embracing pathological hallmarks for model architecture design

4 citations · 8 across the 9 of their papers we have counts for

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eess.IV2021

Interpretability Aware Model Training to Improve Robustness against Out-of-Distribution Magnetic Resonance Images in Alzheimer's Disease Classification

Merel Kuijs, Catherine R. Jutzeler, Bastian Rieck +1

Owing to its pristine soft-tissue contrast and high resolution, structural magnetic resonance imaging (MRI) is widely applied in neurology, making it a valuable data source for ima…