| Leveraging foundation models for content-based medical image retrieval in radiology S Denner, D Zimmerer, D Bounias, M Bujotzek, S Xiao, L Kausch, ... arXiv preprint arXiv:2403.06567, 2024 | 3 | 2024 |
| Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications S Denner, J Scherer, K Kades, D Bounias, P Schader, L Kausch, ... MICCAI Workshop on Data Engineering in Medical Imaging, 46-55, 2023 | 2 | 2023 |
| kaapana/kaapana: v0. 2.0 J Scherer, K Kades, H Gao, P Schader, K Parekh, S Parampottupadam, ... Computer Program. Version 0.2. 0, 2022 | 2 | 2022 |
| The potential of federated learning for self-configuring medical object detection in heterogeneous data distributions G Rashidi, D Bounias, M Bujotzek, AM Mora, P Neher, KH Maier-Hein Scientific Reports 14 (1), 23844, 2024 | | 2024 |
| Visual Prompt Engineering for Medical Vision Language Models in Radiology S Denner, M Bujotzek, D Bounias, D Zimmerer, R Stock, PF Jäger, ... arXiv preprint arXiv:2408.15802, 2024 | | 2024 |
| Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge K Schmidt, B Bearce, K Chang, L Coombs, K Farahani, M Elbatel, ... Medical Image Analysis 95, 103206, 2024 | | 2024 |
| Real-World Federated Learning in Radiology: Hurdles to overcome and Benefits to gain MR Bujotzek, Ü Akünal, S Denner, P Neher, M Zenk, E Frodl, A Jaiswal, ... arXiv preprint, 2024 | | 2024 |
| kaapana/kaapana: v0.3.1 PS Ünal Akünal, Rajesh Baidya, Mikulas Bankovic, Jens Beyermann, Markus ... https://doi.org/10.5281/zenodo.11035592, 2024 | | 2024 |
| Experimental study on MPI motion artefacts M Bujotzek, H Lehr, T Schwab, D Gann, J Franke, U Heinen IWMPI, 2019 | | 2019 |
Stefan DennerGerman Cancer Research Center在 dkfz-heidelberg.de 的电子邮件经过验证
Stefan DennerGerman Cancer Research Center在 dkfz-heidelberg.de 的电子邮件经过验证