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Gregor Koehler
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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
4062018
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation. arXiv 2018
F Isensee, J Petersen, A Klein, D Zimmerer, PF Jaeger, S Kohl, ...
arXiv preprint arXiv:1809.10486, 2020
212020
Sample-Efficient Automated Deep Reinforcement Learning
JKH Franke, G Köhler, A Biedenkapp, F Hutter
arXiv preprint arXiv:2009.01555, 2020
162020
batchgenerators—a python framework for data augmentation
F Isensee, P Jaeger, J Wasserthal, D Zimmerer, J Petersen, S Kohl, ...
Zenodo https://doi. org/10.5281/zenodo 3632567, 2020
122020
nnU-Net: self-adapting framework for U-Net-based medical image segmentation. 2018
F Isensee, J Petersen, A Klein, D Zimmerer, PF Jaeger, S Kohl, ...
arXiv preprint arXiv:1809.10486, 2019
82019
Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control
JKH Franke, G Köhler, N Awad, F Hutter
arXiv preprint arXiv:1910.12824, 2019
42019
Continuous-Time Deep Glioma Growth Models
J Petersen, F Isensee, G Köhler, PF Jäger, D Zimmerer, U Neuberger, ...
arXiv preprint arXiv:2106.12917, 2021
32021
Adapting Bidirectional Encoder Representations from Transformers (BERT) to Assess Clinical Semantic Textual Similarity: Algorithm Development and Validation Study
K Kades, J Sellner, G Koehler, PM Full, TYE Lai, J Kleesiek, ...
JMIR medical informatics 9 (2), e22795, 2021
32021
GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data
J Petersen, G Köhler, D Zimmerer, F Isensee, PF Jäger, KH Maier-Hein
arXiv preprint arXiv:2106.04967, 2021
2021
Frequency Decomposition in Neural Processes
J Petersen, PF Jaeger, G Koehler, D Zimmerer, F Isensee, K Maier-Hein
2020
Validierung einer neuen Methode zur Bestimmung von Untergrund aufgrund von Jet→ τ Fehlidentifizierung in ττ Analysen
G Köhler
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Articles 1–11