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Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-Beam CT.

, , , , , , , , , and . Bildverarbeitung für die Medizin, page 67-72. Springer, (2020)

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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)Precision Learning: Towards Use of Known Operators in Neural Networks., , , , , , and . ICPR, page 183-188. IEEE Computer Society, (2018)Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-Beam CT., , , , , , , , , and . Bildverarbeitung für die Medizin, page 67-72. Springer, (2020)Deep Autofocus with Cone-Beam CT Consistency Constraint., , , , , , , and . Bildverarbeitung für die Medizin, page 169-174. Springer, (2020)Multi-modal Deep Guided Filtering for Comprehensible Medical Image Processing., , , , , and . CoRR, (2019)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)RinQ Fingerprinting: Recurrence-Informed Quantile Networks for Magnetic Resonance Fingerprinting., , , , , , , , and . MICCAI (3), volume 11766 of Lecture Notes in Computer Science, page 92-100. Springer, (2019)