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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)

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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)Abstract: Fan-to-Parallel Beam Conversion - Deriving Neural Network Architectures Using Precision Learning., , , , , and . Bildverarbeitung für die Medizin, page 29. Springer Vieweg, (2019)Projection image-to-image translation in hybrid x-ray/MR imaging., , , , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109492K. SPIE, (2019)Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging., , , , , , and . CoRR, (2019)A Deep Learning Approach for Reconstruction Filter Kernel Discretization., , , , , , and . CoRR, (2017)Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency., , , , , , , and . Bildverarbeitung für die Medizin, page 134-139. Springer Vieweg, (2019)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)Projection image-to-image translation in hybrid X-ray/MR imaging., , , , , , , and . CoRR, (2018)User Loss - A Forced-Choice-Inspired Approach to Train Neural Networks directly by User Interaction., , , and . CoRR, (2018)Learning with Known Operators reduces Maximum Training Error Bounds., , , , , , , , , and . CoRR, (2019)