| Uncertainty estimation in medical image denoising with bayesian deep image prior MH Laves, M Tölle, T Ortmaier Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2020 | 46 | 2020 |
| A mean-field variational inference approach to deep image prior for inverse problems in medical imaging M Tölle, MH Laves, A Schlaefer Medical Imaging with Deep Learning, 745-760, 2021 | 18 | 2021 |
| Posterior temperature optimized Bayesian models for inverse problems in medical imaging MH Laves, M Tölle, A Schlaefer, S Engelhardt Medical image analysis 78, 102382, 2022 | 8 | 2022 |
| Content-aware differential privacy with conditional invertible neural networks M Tölle, U Köthe, F André, B Meder, S Engelhardt International Workshop on Distributed, Collaborative, and Federated Learning …, 2022 | 6 | 2022 |
| Perfect Match: Radiomics and Artificial Intelligence in Cardiac Imaging B Baeßler, S Engelhardt, A Hekalo, A Hennemuth, M Hüllebrand, A Laube, ... Circulation: Cardiovascular Imaging 17 (6), e015490, 2024 | 3 | 2024 |
| Towards Unified Multi-modal Dataset Creation for Deep Learning Utilizing Structured Reports M Tölle, L Burger, H Kelm, S Engelhardt BVM Workshop, 130-135, 2024 | 3 | 2024 |
| Federated Foundation Model for Cardiac CT Imaging M Tölle, P Garthe, C Scherer, JM Seliger, A Leha, N Krüger, S Simm, ... arXiv preprint arXiv:2407.07557, 2024 | 2 | 2024 |
| Simulation of thoracic endovascular aortic repair in a perfused patient-specific model of type B aortic dissection L Mohl, R Karl, MN Hagedorn, A Runz, S Skornitzke, M Toelle, CS Bergt, ... International Journal of Computer Assisted Radiology and Surgery, 1-14, 2024 | 2 | 2024 |
| Posterior Temperature Optimization in Variational Inference for Inverse Problems MH Laves, M Tölle, A Schlaefer, S Engelhardt arXiv preprint arXiv:2106.07533, 2021 | 2 | 2021 |
| Multi-Modal Dataset Creation for Federated Learning with DICOM Structured Reports M Tölle, L Burger, H Kelm, F André, P Bannas, G Diller, N Frey, P Garthe, ... arXiv preprint arXiv:2407.09064, 2024 | 1 | 2024 |
| FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels M Tölle, F Navarro, S Eble, I Wolf, B Menze, S Engelhardt International Conference on Medical Image Computing and Computer-Assisted …, 2024 | | 2024 |
| Content-Aware Differential Privacy with Conditional Invertible Neural M Tölle Distributed, Collaborative, and Federated Learning, and Affordable AI and …, 2022 | | 2022 |
| Cold Posteriors Improve Bayesian Medical Image Post-Processing MH Laves, M Tölle, A Schlaefer arXiv preprint arXiv:2106.07533, 2021 | | 2021 |
| Posterior Temperature Optimization in Variational Inference. MH Laves, M Tölle, A Schlaefer CoRR, 2021 | | 2021 |
