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User Loss A Forced-Choice-Inspired Approach to Train Neural Networks Directly by User Interaction.

, , , and . Bildverarbeitung für die Medizin, page 92-97. Springer Vieweg, (2019)

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A Deep Learning Approach for Reconstruction Filter Kernel Discretization., , , , , , and . CoRR, (2017)Deriving Neural Network Architectures Using Precision Learning: Parallel-to-Fan Beam Conversion., , , , , and . GCPR, volume 11269 of Lecture Notes in Computer Science, page 503-517. Springer, (2018)Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency., , , , , , , and . Bildverarbeitung für die Medizin, page 134-139. Springer Vieweg, (2019)Deep Learning-Based ECG-Free Cardiac Navigation for Multi-Dimensional and Motion-Resolved Continuous Magnetic Resonance Imaging., , , , , , , and . IEEE Trans. Medical Imaging, 40 (8): 2105-2117 (2021)User Loss A Forced-Choice-Inspired Approach to Train Neural Networks Directly by User Interaction., , , and . Bildverarbeitung für die Medizin, page 92-97. Springer Vieweg, (2019)Deep Autofocus with Cone-Beam CT Consistency Constraint., , , , , , , and . Bildverarbeitung für die Medizin, page 169-174. Springer, (2020)MR to X-Ray Projection Image Synthesis., , , , , and . CoRR, (2017)Multi-Modal Super-Resolution with Deep Guided Filtering., , , , , and . Bildverarbeitung für die Medizin, page 110-115. Springer Vieweg, (2019)PYRO-NN: Python Reconstruction Operators in Neural Networks., , , , , and . CoRR, (2019)Deep autofocus with cone-beam CT consistency constraint., , , , , , , and . CoRR, (2019)