Paul F. Jaeger
Paul F. Jaeger
Interactive Machine Learning Research Group at DKFZ
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
F Isensee*, PF Jaeger*, SAA Kohl, J Petersen, ...
Nature methods 18 (2), 203-211, 2021
Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved?
O Bernard, A Lalande, C Zotti, F Cervenansky, X Yang, PA Heng, I Cetin, ...
IEEE transactions on medical imaging 37 (11), 2514-2525, 2018
The liver tumor segmentation benchmark (lits)
P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ...
Medical Image Analysis 84, 102680, 2023
nnu-net: Self-adapting framework for u-net-based medical image segmentation
F Isensee, J Petersen, A Klein, D Zimmerer, PF Jaeger, S Kohl, ...
MICCAI 2018, Medical Segmentation Decathlon Challenge Entry, 2018
Automatic cardiac disease assessment on cine-MRI via time-series segmentation and domain specific features
F Isensee*, PF Jaeger*, PM Full, I Wolf, S Engelhardt, ...
International workshop on statistical atlases and computational models of …, 2017
nnU-Net for brain tumor segmentation
F Isensee, PF Jäger, PM Full, P Vollmuth, KH Maier-Hein
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021
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
Automated design of deep learning methods for biomedical image segmentation
F Isensee, PF Jäger, SAA Kohl, J Petersen, KH Maier-Hein
arXiv preprint arXiv:1904.08128, 2019
Retina U-Net: Embarrassingly simple exploitation of segmentation supervision for medical object detection
PF Jaeger, SAA Kohl, S Bickelhaupt, F Isensee, TA Kuder, HP Schlemmer, ...
ML4H Workshop, Neurips, 171-183, 2020
nnu-net: Breaking the spell on successful medical image segmentation
F Isensee, J Petersen, SAA Kohl, PF Jäger, KH Maier-Hein
arXiv preprint arXiv:1904.08128 1 (1-8), 2, 2019
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
Metrics reloaded: Recommendations for image analysis validation
L Maier-Hein, A Reinke, P Godau, MD Tizabi, F Buettner, E Christodoulou, ...
Nature Methods, 1-18, 2024
Radiomics based on adapted diffusion kurtosis imaging helps to clarify most mammographic findings suspicious for cancer
S Bickelhaupt*, PF Jaeger*, FB Laun, W Lederer, H Daniel, TA Kuder, ...
Radiology 287 (3), 761-770, 2018
nndetection: A self-configuring method for medical object detection
M Baumgartner*, PF Jäger*, F Isensee, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2021
batchgenerators—a python framework for data augmentation
F Isensee, P Jäger, J Wasserthal, D Zimmerer, J Petersen, S Kohl, ...
Zenodo 3632567, 2020
The Cell Tracking Challenge: 10 years of objective benchmarking
M Maška, V Ulman, P Delgado-Rodriguez, E Gómez-de-Mariscal, ...
Nature Methods 20 (7), 1010-1020, 2023
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
Studying robustness of semantic segmentation under domain shift in cardiac MRI
PM Full, F Isensee, PF Jäger, K Maier-Hein
Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC …, 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
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
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20