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Michael Baumgartner
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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
2232022
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
1452021
Metrics reloaded: Pitfalls and recommendations for image analysis validation
L Maier-Hein, B Menze
arXiv. org, 2022
982022
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
602021
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
482021
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
342023
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
292019
Understanding metric-related pitfalls in image analysis validation
A Reinke, MD Tizabi, M Baumgartner, M Eisenmann, D Heckmann-Nötzel, ...
ArXiv, 2023
212023
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
132023
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
112022
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
32023
Taming Detection Transformers for Medical Object Detection
MK Ickler, M Baumgartner, S Roy, T Wald, KH Maier-Hein
BVM Workshop, 183-188, 2023
32023
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
32023
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
32020
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
22023
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
22022
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
22019
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
12023
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
12022
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
2023
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