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Sarah Müller
Sarah Müller
Bestätigte E-Mail-Adresse bei uni-tuebingen.de
Titel
Zitiert von
Zitiert von
Jahr
Local policy search with Bayesian optimization
S Müller, A von Rohr, S Trimpe
Advances in Neural Information Processing Systems 34, 20708-20720, 2021
352021
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
162018
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
132022
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
4*2023
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
42018
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
32022
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
22019
Benchmarking Dependence Measures to Prevent Shortcut Learning in Medical Imaging
S Müller, L Fay, LM Koch, S Gatidis, T Küstner, P Berens
International Workshop on Machine Learning in Medical Imaging, 53-62, 2024
12024
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
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