| Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature communications 13 (1), 7346, 2022 | 133 | 2022 |
| The federated tumor segmentation (fets) challenge S Pati, U Baid, M Zenk, B Edwards, M Sheller, GA Reina, P Foley, ... arXiv preprint arXiv:2105.05874, 2021 | 66 | 2021 |
| Federated benchmarking of medical artificial intelligence with MedPerf A Karargyris, R Umeton, MJ Sheller, A Aristizabal, J George, A Wuest, ... Nature Machine Intelligence 5 (7), 799-810, 2023 | 25 | 2023 |
| Biomedical image analysis competitions: The state of current participation practice M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ... arXiv preprint arXiv:2212.08568, 2022 | 23 | 2022 |
| Why is the winner the best? M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, S Ali, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 17 | 2023 |
| Multitalent: A multi-dataset approach to medical image segmentation C Ulrich, F Isensee, T Wald, M Zenk, M Baumgartner, KH Maier-Hein International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 14 | 2023 |
| Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 8th International Workshop, BrainLes 2022, Held in Conjunction with MICCAI 2022, Singapore … S Bakas, A Crimi, U Baid, S Malec, M Pytlarz, B Baheti, M Zenk, R Dorent Springer Nature, 2023 | 14 | 2023 |
| CosSGD: Nonlinear quantization for communication-efficient federated learning Y He, M Zenk, M Fritz arXiv preprint arXiv:2012.08241, 2020 | 8 | 2020 |
| CosSGD: Communication-efficient federated learning with a simple cosine-based quantization Y He, HP Wang, M Zenk, M Fritz arXiv preprint arXiv:2012.08241, 2020 | 3 | 2020 |
| ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation KC Kahl, CT Lüth, M Zenk, K Maier-Hein, PF Jaeger arXiv preprint arXiv:2401.08501, 2024 | 2 | 2024 |
| Author Correction: Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... nature communications 14 (1), 436, 2023 | 1 | 2023 |
| Towards Real-World Federated Learning in Medical Image Analysis Using Kaapana K Kades, J Scherer, M Zenk, M Kempf, K Maier-Hein International Workshop on Distributed, Collaborative, and Federated Learning …, 2022 | 1 | 2022 |
| Realistic evaluation of fixmatch on imbalanced medical image classification tasks M Zenk, D Zimmerer, F Isensee, PF Jäger, J Wasserthal, K Maier-Hein Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on …, 2022 | 1 | 2022 |
| Mitigating False Predictions In Unreasonable Body Regions C Ulrich, C Knobloch, JC Holzschuh, T Wald, MR Rokuss, M Zenk, ... arXiv preprint arXiv:2404.15718, 2024 | | 2024 |
| Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures Y Kirchhoff, MR Rokuss, S Roy, B Kovacs, C Ulrich, T Wald, M Zenk, ... arXiv preprint arXiv:2404.03010, 2024 | | 2024 |
| Multi-dataset Approach to Medical Image Segmentation: MultiTalent C Ulrich, F Isensee, T Wald, M Zenk, M Baumgartner, KH Maier-Hein BVM Workshop, 78-78, 2024 | | 2024 |
| Federated learning enables big data for rare cancer boundary detection (vol 13, 7346, 2022) S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... NATURE PORTFOLIO, 2023 | | 2023 |
| Brainlesion: 8th International Workshop, BrainLes 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Revised Selected Papers S Bakas, A Crimi, U Baid, S Malec, M Pytlarz, B Baheti, M Zenk, R Dorent Springer, 2023 | | 2023 |
| SEG. A. 2023 Segmentation of the Aorta: Technical Report C Ulrich, F Isensee, T Wald, M Zenk, M Baumgartner, KH Maier-Hein | | |
