Evaluation of a shortened cardiac MRI protocol for left ventricular examinations: diagnostic performance of T1-mapping and myocardial function analysis. - Jonathan Nadjiri; Anna-Lena Zaschka; Alexandra S. Straeter; Andreas Sauter; Maximilian Englmaier; Florian Weis; Karl-Ludwig Laugwitz; Ernst J. Rummeny; Daniela Pfeiffer; Michael Rasper (BMC Medical Imaging, 2019)

Iodine Images in Dual-energy CT: Detection of Hepatic Steatosis by Quantitative Iodine Concentration Values. - Stefanie Beck; Laurenz Jahn; Dominik Deniffel; Isabelle Riederer; Andreas Sauter; Marcus R. Makowski; Daniela Pfeiffer (J. Digit. Imaging, 2022)

A Meta-Reinforcement Learning Algorithm for Causal Discovery. - Andreas W. M. Sauter; Erman Acar; Vincent François-Lavet (CLeaR, 2023)

Improving Image Quality of Sparse-view Lung Cancer CT Images with a Convolutional Neural Network. - Annika Ries; Tina Dorosti; Johannes Thalhammer; Daniel Sasse; Andreas Sauter; Felix Meurer; Ashley Benne; Franz Pfeiffer; Daniela Pfeiffer (CoRR, 2023)

Evaluation of GPT-4 for chest X-ray impression generation: A reader study on performance and perception. - Sebastian Ziegelmayer; Alexander W. Marka; Nicolas Lenhart; Nadja Nehls; Stefan Reischl; Felix Harder; Andreas Sauter; Marcus R. Makowski; Markus Graf; Joshua F. Gawlitza (CoRR, 2023)

EduGym: An Environment Suite for Reinforcement Learning Education. - Thomas M. Moerland; Matthias Müller-Brockhausen; Zhao Yang 003; Andrius Bernatavicius; Koen Ponse; Tom Kouwenhoven; Andreas Sauter; Michiel van der Meer; Bram M. Renting; Aske Plaat (CoRR, 2023)

CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning. - Andreas Sauter; Nicolò Botteghi; Erman Acar; Aske Plaat (AAMAS, 2024)

CAGE: Causality-Aware Shapley Value for Global Explanations. - Nils Ole Breuer; Andreas Sauter; Majid Mohammadi; Erman Acar (xAI (3), 2024)

CausalPlayground: Addressing Data-Generation Requirements in Cutting-Edge Causality Research. - Andreas W. M. Sauter; Erman Acar; Aske Plaat (CoRR, 2024)

SHARPIE: A Modular Framework for Reinforcement Learning and Human-AI Interaction Experiments. - Hüseyin Aydin; Kevin Godin-Dubois; Libio Goncalvez Braz; Floris den Hengst; Kim Baraka; Mustafa Mert Çelikok; Andreas Sauter; Shihan Wang 001; Frans A. Oliehoek (CoRR, 2025)

ACTIVA: Amortized Causal Effect Estimation without Graphs via Transformer-based Variational Autoencoder. - Andreas Sauter; Saber Salehkaleybar; Aske Plaat; Erman Acar (CoRR, 2025)