Image analysis for Alzheimer's disease prediction: Embracing pathological hallmarks for model architecture design. - Sarah C. Brüningk; Felix Hensel; Catherine R. Jutzeler; Bastian Rieck (CoRR, 2020)

Back to the basics with inclusion of clinical domain knowledge - A simple, scalable and effective model of Alzheimer's Disease classification. - Sarah C. Brüningk; Felix Hensel; Louis P. Lukas; Merel Kuijs; Catherine R. Jutzeler; Bastian Rieck (MLHC, 2021)

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; Sarah C. Brüningk (CoRR, 2021)

Biomarker identification by interpretable maximum mean discrepancy. - Michael F. Adamer; Sarah C. Brüningk; Dexiong Chen; Karsten M. Borgwardt (Bioinform., 2024)