| MONAI: An open-source framework for deep learning in healthcare MJ Cardoso, W Li, R Brown, N Ma, E Kerfoot, Y Wang, B Murrey, ... arXiv preprint arXiv:2211.02701, 2022 | 636 | 2022 |
| Metrics reloaded: recommendations for image analysis validation L Maier-Hein, A Reinke, P Godau, MD Tizabi, F Buettner, E Christodoulou, ... Nature methods 21 (2), 195-212, 2024 | 337* | 2024 |
| Understanding metric-related pitfalls in image analysis validation A Reinke, MD Tizabi, M Baumgartner, M Eisenmann, D Heckmann-Nötzel, ... Nature methods 21 (2), 182-194, 2024 | 308* | 2024 |
| Mednext: transformer-driven scaling of convnets for medical image segmentation S Roy, G Koehler, C Ulrich, M Baumgartner, J Petersen, F Isensee, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 181 | 2023 |
| nnDetection: A Self-configuring Method for Medical Object Detection M Baumgartner, PF Jaeger, F Isensee, KH Maier-Hein International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 96 | 2021 |
| nnu-net revisited: A call for rigorous validation in 3d medical image segmentation F Isensee, T Wald, C Ulrich, M Baumgartner, S Roy, K Maier-Hein, ... International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 92 | 2024 |
| Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge KM Timmins, IC van der Schaaf, E Bennink, YM Ruigrok, X An, ... NeuroImage 238, 118216, 2021 | 71 | 2021 |
| 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 | 43 | 2023 |
| Multi scale curriculum CNN for context-aware breast MRI malignancy classification C Haarburger, M Baumgartner, D Truhn, M Broeckmann, H Schneider, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 32 | 2019 |
| Common limitations of image processing metrics: A picture story. arXiv 2021 A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ... arXiv preprint arXiv:2104.05642, 0 | 26 | |
| Deep-learning based detection of vessel occlusions on CT-angiography in patients with suspected acute ischemic stroke G Brugnara, M Baumgartner, ED Scholze, K Deike-Hofmann, K Kades, ... Nature Communications 14 (1), 4938, 2023 | 22 | 2023 |
| Taming Detection Transformers for Medical Object Detection MK Ickler, M Baumgartner, S Roy, T Wald, KH Maier-Hein BVM Workshop, 183-188, 2023 | 9 | 2023 |
| Automated lung cancer assessment on 18F-PET/CT using Retina U-Net and anatomical region segmentation T Weikert, PF Jaeger, S Yang, M Baumgartner, HC Breit, DJ Winkel, ... European Radiology 33 (6), 4270-4279, 2023 | 8 | 2023 |
| Anatomy-Informed Data Augmentation for Enhanced Prostate Cancer Detection B Kovacs, N Netzer, M Baumgartner, C Eith, D Bounias, C Meinzer, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 5 | 2023 |
| Touchstone benchmark: Are we on the right way for evaluating AI algorithms for medical segmentation? PRAS Bassi, W Li, Y Tang, F Isensee, Z Wang, J Chen, YC Chou, ... Advances in Neural Information Processing Systems 37, 15184-15201, 2025 | 4 | 2025 |
| Addressing image misalignments in multi-parametric prostate MRI for enhanced computer-aided diagnosis of prostate cancer B Kovacs, N Netzer, M Baumgartner, A Schrader, F Isensee, C Weißer, ... Scientific Reports 13 (1), 19805, 2023 | 4 | 2023 |
| AI-Supported Comprehensive Detection and Quantification of Biomarkers of Subclinical Widespread Diseases at Chest CT for Preventive Medicine V Palm, T Norajitra, O von Stackelberg, CP Heussel, S Skornitzke, ... Healthcare 10 (11), 2166, 2022 | 4 | 2022 |
| Retina U-Net for aneurysm detection in MR images M Baumgartner, P Jaeger, F Isensee, KH Maier-Hein Automatic Detection and SegMentation Challenge (ADAM), 2020 | 4 | 2020 |
| Transformer Utilization in Medical Image Segmentation Networks S Roy, G Koehler, M Baumgartner, C Ulrich, J Petersen, F Isensee, ... arXiv preprint arXiv:2304.04225, 2023 | 3 | 2023 |
| Overcoming Common Flaws in the Evaluation of Selective Classification Systems J Traub, TJ Bungert, CT Lüth, M Baumgartner, KH Maier-Hein, ... arXiv preprint arXiv:2407.01032, 2024 | 2 | 2024 |