| Local policy search with Bayesian optimization S Müller, A von Rohr, S Trimpe Advances in Neural Information Processing Systems 34, 20708-20720, 2021 | 28 | 2021 |
| Semantic organ segmentation in 3D whole-body MR images T Küstner, S Müller, M Fischer, J Weiß, K Nikolaou, F Bamberg, B Yang, ... 2018 25th IEEE International Conference on Image Processing (ICIP), 3498-3502, 2018 | 16 | 2018 |
| Visual explanations for the detection of diabetic retinopathy from retinal fundus images V Boreiko, I Ilanchezian, MS Ayhan, S Müller, LM Koch, H Faber, ... International conference on medical image computing and computer-assisted …, 2022 | 12 | 2022 |
| Automated segmentation of abdominal organs in T1-weighted MR images using a deep learning approach: application on a large epidemiological MR study T Küstner, M Fischer, S Müller, D Guttmann, K Nikolaou, F Bamberg, ... Proceedings of the International Society for Magnetic Resonance in Medicine …, 2018 | 4 | 2018 |
| A Generative Model Reveals the Influence of Patient Attributes on Fundus Images S Müller, LM Koch, H Lensch, P Berens Medical Imaging with Deep Learning, 2022 | 3 | 2022 |
| Automated organ segmentation of liver and spleen in whole-body T1-weighted MR images: Transfer learning between epidemiological cohort studies T Kuestner, S Müller, M Fischer, M Schwartz, P Martirosian, B Yang, ... Proceedings of the International Society for Magnetic Resonance in Medicine …, 2019 | 2 | 2019 |
| Maximally discriminative stimuli for functional cell type identification MF Burg, T Zenkel, M Vystrčilová, J Oesterle, L Höfling, KF Willeke, ... The Twelfth International Conference on Learning Representations, 2023 | 1* | 2023 |
| Benchmarking Dependence Measures to Prevent Shortcut Learning in Medical Imaging S Müller, L Fay, LM Koch, S Gatidis, T Küstner, P Berens arXiv preprint arXiv:2407.18792, 2024 | | 2024 |
| Disentangling representations of retinal images with generative models S Müller, LM Koch, H Lensch, P Berens arXiv preprint arXiv:2402.19186, 2024 | | 2024 |
| Interpretable-by-design Deep Survival Analysis for Disease Progression Modeling J Gervelmeyer, S Mueller, K Djoumessi, D Merle, SJ Clark, L Koch, ... medRxiv, 2024.07. 11.24310270, 2024 | | 2024 |
