Predicting Motor Intentions with Closed-Loop Brain-Computer Interfaces. - Matthias Schultze-Kraft; Mario Neumann; Martin Lundfall; Patrick Wagner 002; Daniel Birman; John-Dylan Haynes; Benjamin Blankertz (Brain-Computer Interface Research (6), 2017)

Rotation Invariant Clustering of 3D Cell Nuclei Shapes. - Patrick Wagner 002; Jakob Paul Morath; Arturo Zychlinsky; Klaus-Robert Müller; Wojciech Samek (EMBC, 2019)

UDSMProt: universal deep sequence models for protein classification. - Nils Strodthoff; Patrick Wagner 002; Markus Wenzel 002; Wojciech Samek (Bioinform., 2020)

Risk estimation of SARS-CoV-2 transmission from bluetooth low energy measurements. - Felix Sattler; Jackie Ma; Patrick Wagner 002; David Neumann; Markus Wenzel 002; Ralf Schäfer; Wojciech Samek; Klaus-Robert Müller; Thomas Wiegand 001 (npj Digit. Medicine, 2020)

Toward Explainable AI for Regression Models. - Simon Letzgus; Patrick Wagner 002; Jonas Lederer; Wojciech Samek; Klaus-Robert Müller; Grégoire Montavon (CoRR, 2021)

Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL. - Nils Strodthoff; Patrick Wagner 002; Tobias Schaeffter; Wojciech Samek (IEEE J. Biomed. Health Informatics, 2021)

Toward Explainable Artificial Intelligence for Regression Models: A methodological perspective. - Simon Letzgus; Patrick Wagner 002; Jonas Lederer; Wojciech Samek; Klaus-Robert Müller; Grégoire Montavon (IEEE Signal Process. Mag., 2022)

Explaining deep learning for ECG analysis: Building blocks for auditing and knowledge discovery. - Patrick Wagner 002; Temesgen Mehari; Wilhelm Haverkamp; Nils Strodthoff (Comput. Biol. Medicine, 2024)

Deep Learning-based Multi Project InP Wafer Simulation for Unsupervised Surface Defect Detection. - Emílio Dolgener Cantú; Rolf Klemens Wittmann; Oliver Abdeen; Patrick Wagner 002; Wojciech Samek; Moritz Baier; Sebastian Lapuschkin (CoRR, 2025)