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 | 246 | 2022 |
Common limitations of image processing metrics: A picture story A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ... arXiv preprint arXiv:2104.05642, 2021 | 150 | 2021 |
Metrics reloaded: Pitfalls and recommendations for image analysis validation L Maier-Hein, B Menze arXiv. org, 2022 | 100 | 2022 |
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 | 64 | 2021 |
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 | 51 | 2021 |
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 | 46 | 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 | 29 | 2019 |
Understanding metric-related pitfalls in image analysis validation A Reinke, MD Tizabi, M Baumgartner, M Eisenmann, D Heckmann-Nötzel, ... ArXiv, 2023 | 25 | 2023 |
MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation C Ulrich, F Isensee, T Wald, M Zenk, M Baumgartner, KH Maier-Hein arXiv preprint arXiv:2303.14444, 2023 | 16 | 2023 |
Metrics Reloaded-A new recommendation framework for biomedical image analysis validation A Reinke, L Maier-Hein, E Christodoulou, B Glocker, P Scholz, F Isensee, ... Medical Imaging with Deep Learning, 2022 | 12 | 2022 |
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 | 5 | 2023 |
Taming Detection Transformers for Medical Object Detection MK Ickler, M Baumgartner, S Roy, T Wald, KH Maier-Hein BVM Workshop, 183-188, 2023 | 4 | 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 | 3 | 2023 |
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 | 3 | 2020 |
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 | 2 | 2023 |
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 | 2 | 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 | 2 | 2022 |
Delira: A High-Level Framework for Deep Learning in Medical Image Analysis C Haarburger, J Schock, M Baumgartner, O Rippel, D Merhof The Journal of Open Source Software 4, 2019 | 2 | 2019 |
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 | 1 | 2023 |
Heterogeneous model ensemble for polyp detection and tracking in colonoscopy A Yamlahi, P Godau, TN Tran, LR Müller, T Adler, MD Tizabi, ... EndoCV@ ISBI, 2022 | 1 | 2022 |