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Journal Articles
- 2022
[j2]Stefanie Beck
, Laurenz Jahn, Dominik Deniffel, Isabelle Riederer, Andreas Sauter, Marcus R. Makowski, Daniela Pfeiffer:
Iodine Images in Dual-energy CT: Detection of Hepatic Steatosis by Quantitative Iodine Concentration Values. J. Digit. Imaging 35(6): 1738-1747 (2022)- 2019
- [j1]Jonathan Nadjiri, Anna-Lena Zaschka, Alexandra S. Straeter, Andreas Sauter, Maximilian Englmaier, Florian Weis, Karl-Ludwig Laugwitz, Ernst J. Rummeny, Daniela Pfeiffer, Michael Rasper:
Evaluation of a shortened cardiac MRI protocol for left ventricular examinations: diagnostic performance of T1-mapping and myocardial function analysis. BMC Medical Imaging 19(1): 57:1-57:10 (2019)
Conference and Workshop Papers
- 2024
- [c3]Andreas Sauter, Nicolò Botteghi, Erman Acar, Aske Plaat:
CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning. AAMAS 2024: 1664-1672 - [c2]Nils Ole Breuer, Andreas Sauter, Majid Mohammadi, Erman Acar:
CAGE: Causality-Aware Shapley Value for Global Explanations. xAI (3) 2024: 143-162 - 2023
- [c1]Andreas W. M. Sauter, Erman Acar, Vincent François-Lavet:
A Meta-Reinforcement Learning Algorithm for Causal Discovery. CLeaR 2023: 602-619
Informal and Other Publications
- 2025
- [i9]Hüseyin Aydin, Kevin Godin-Dubois, Libio Goncalvez Braz, Floris den Hengst, Kim Baraka, Mustafa Mert Çelikok, Andreas Sauter, Shihan Wang, Frans A. Oliehoek:
SHARPIE: A Modular Framework for Reinforcement Learning and Human-AI Interaction Experiments. CoRR abs/2501.19245 (2025) - [i8]Andreas Sauter, Saber Salehkaleybar, Aske Plaat, Erman Acar:
ACTIVA: Amortized Causal Effect Estimation without Graphs via Transformer-based Variational Autoencoder. CoRR abs/2503.01290 (2025) - 2024
- [i7]Andreas W. M. Sauter, Nicolò Botteghi, Erman Acar, Aske Plaat:
CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning. CoRR abs/2401.16974 (2024) - [i6]Nils Ole Breuer, Andreas Sauter, Majid Mohammadi, Erman Acar:
CAGE: Causality-Aware Shapley Value for Global Explanations. CoRR abs/2404.11208 (2024) - [i5]Andreas W. M. Sauter, Erman Acar, Aske Plaat:
CausalPlayground: Addressing Data-Generation Requirements in Cutting-Edge Causality Research. CoRR abs/2405.13092 (2024) - 2023
- [i4]Annika Ries, Tina Dorosti, Johannes Thalhammer, Daniel Sasse, Andreas Sauter, Felix Meurer, Ashley Benne, Franz Pfeiffer, Daniela Pfeiffer:
Improving Image Quality of Sparse-view Lung Cancer CT Images with a Convolutional Neural Network. CoRR abs/2307.15506 (2023) - [i3]Sebastian Ziegelmayer, Alexander W. Marka, Nicolas Lenhart, Nadja Nehls, Stefan Reischl, Felix Harder, Andreas Sauter, Marcus R. Makowski, Markus Graf, Joshua F. Gawlitza:
Evaluation of GPT-4 for chest X-ray impression generation: A reader study on performance and perception. CoRR abs/2311.06815 (2023) - [i2]Thomas M. Moerland, Matthias Müller-Brockhausen, Zhao Yang, Andrius Bernatavicius, Koen Ponse, Tom Kouwenhoven, Andreas Sauter, Michiel van der Meer, Bram M. Renting, Aske Plaat:
EduGym: An Environment Suite for Reinforcement Learning Education. CoRR abs/2311.10590 (2023) - 2022
- [i1]Andreas Sauter, Erman Acar, Vincent François-Lavet:
A Meta-Reinforcement Learning Algorithm for Causal Discovery. CoRR abs/2207.08457 (2022)
Coauthor Index
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