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)

A Survey of Topological Machine Learning Methods. - Felix Hensel; Michael Moor; Bastian Rieck (Frontiers Artif. Intell., 2021)

RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds. - Thibault de Surrel; Felix Hensel; Mathieu Carrière; Théo Lacombe; Yuichi Ike; Hiroaki Kurihara; Marc Glisse; Frédéric Chazal (TAG-ML, 2022)

MAGDiff: Covariate Data Set Shift Detection via Activation Graphs of Deep Neural Networks. - Felix Hensel; Charles Arnal; Mathieu Carrière; Théo Lacombe; Hiroaki Kurihara; Yuichi Ike; Frédéric Chazal (CoRR, 2023)

MAGDiff: Covariate Data Set Shift Detection via Activation Graphs of Neural Networks. - Charles Arnal; Felix Hensel; Mathieu Carrière; Théo Lacombe; Hiroaki Kurihara; Yuichi Ike; Frédéric Chazal (Trans. Mach. Learn. Res., 2024)