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Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation
Free accessArXiv | 2019| -
A Comparison of Acceleration Techniques for Nonrigid Medical Image Registration
Springer Verlag | 2006| -
Relationship between the optical absorption and the density of deep gap states in microcrystalline silicon
National licenceAmerican Institute of Physics | 2007| -
Parameter determination for device simulations of thin film silicon solar cells by inverse modeling based on temperature and spectrally dependent measurements
National licenceAmerican Institute of Physics | 2013| -
The Future of Digital Work: The Challenge of Inequality
British Library Conference Proceedings | 2020| -
APIR-Net: Autocalibrated Parallel Imaging Reconstruction Using a Neural Network
Springer Verlag | 2019| -
The Future of Digital Work: The Challenge of Inequality
Springer Verlag | 2020|Contributors: Klein, Stefan -
APIR-Net:Autocalibrated Parallel Imaging Reconstruction Using a Neural Network
Free accessBASE | 2019| -
APIR-Net: Autocalibrated Parallel Imaging Reconstruction using a Neural Network
Free accessArXiv | 2019| -
A machine learning approach to distinguish between knees without and with osteoarthritis using MRI-based radiomic features from tibial bone
Free accessOnline Contents | 2021|
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