Prototype-based Neural Network Layers: Incorporating Vector Quantization. - Sascha Saralajew; Lars Holdijk; Maike Rees; Thomas Villmann (CoRR, 2018)

Modular Novelty Detection System for Driving Scenarios. - Maike Rees; Melanie Senn; Pratik P. Brahma; Astrid Laubenheimer (CERC, 2019)

Classification-by-Components: Probabilistic Modeling of Reasoning over a Set of Components. - Sascha Saralajew; Lars Holdijk; Maike Rees; Ebubekir Asan; Thomas Villmann (NeurIPS, 2019)

Robustness of Generalized Learning Vector Quantization Models Against Adversarial Attacks. - Sascha Saralajew; Lars Holdijk; Maike Rees; Thomas Villmann (WSOM+, 2019)

Non-invasive localization of the ventricular excitation origin without patient-specific geometries using deep learning. - Nicolas Pilia; Steffen Schuler; Maike Rees; Gerald Moik; Danila Potyagaylo; Olaf Dössel; Axel Loewe (Artif. Intell. Medicine, 2023)

Semantic hyperspectral image synthesis for cross-modality knowledge transfer in surgical data science. - Viet Tran Ba; Marco Hübner; Ahmad Bin Qasim; Maike Rees; Jan Sellner; Silvia Seidlitz; Evangelia Christodoulou; Berkin Özdemir; Alexander Studier-Fischer; Felix Nickel; Leonardo Ayala; Lena Maier-Hein (Int. J. Comput. Assist. Radiol. Surg., 2025)