Paul F. Jaeger
Paul F. Jaeger
PhD Candidate at KIT and Doctoral Researcher at German Cancer Research Center (DKFZ)
Bestätigte E-Mail-Adresse bei
TitelZitiert vonJahr
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
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, KH Maier-Hein
International workshop on statistical atlases and computational models of …, 2017
nnu-net: Self-adapting framework for u-net-based medical image segmentation
F Isensee, J Petersen, A Klein, D Zimmerer, PF Jaeger, S Kohl, ...
arXiv preprint arXiv:1809.10486, 2018
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
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, 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, ...
arXiv preprint arXiv:1811.08661, 2018
Revealing hidden potentials of the q-Space signal in breast cancer
PF Jäger, S Bickelhaupt, FB Laun, W Lederer, D Heidi, TA Kuder, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2017
Reg R-CNN: Lesion Detection and Grading Under Noisy Labels
GN Ramien, PF Jaeger, SAA Kohl, KH Maier-Hein
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and …, 2019
Deep Probabilistic Modeling of Glioma Growth
J Petersen, PF Jäger, F Isensee, SAA Kohl, U Neuberger, W Wick, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
Domain Adaptation for Deviating Acquisition Protocols in CNN-Based Lesion Classification on Diffusion-Weighted MR Images
J Kamphenkel, PF Jäger, S Bickelhaupt, FB Laun, W Lederer, H Daniel, ...
Image Analysis for Moving Organ, Breast, and Thoracic Images, 73-80, 2018
Advanced Deep Learning Methods
P Jäger, F Isensee, J Petersen, D Zimmerer, J Wasserthal, KH Maier-Hein
Bildverarbeitung für die Medizin 2018, 6-6, 2018
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