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Abstract: Inertial Measurements for Motion Compensation in Weight-bearing Cone-beam CT of the Knee.

, , , , , , and . Bildverarbeitung für die Medizin, page 336. Springer, (2021)

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EXACT: A collaboration toolset for algorithm-aided annotation of almost everything., , , , , , , , and . CoRR, (2020)Rigid and Non-Rigid Motion Compensation in Weight-Bearing CBCT of the Knee Using Simulated Inertial Measurements., , , , , , and . IEEE Trans. Biomed. Eng., 69 (5): 1608-1619 (2022)Motion Compensation Using Range Imaging in C-Arm Cone-Beam CT., , , , , , , and . MIUA, volume 723 of Communications in Computer and Information Science, page 561-570. Springer, (2017)Fooling the Crowd with Deep Learning-based Methods., , , , , , , , and . CoRR, (2019)Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-Beam CT., , , , , , , , , and . Bildverarbeitung für die Medizin, page 67-72. Springer, (2020)Is Crowd-Algorithm Collaboration an Advanced Alternative to Crowd-Sourcing on Cytology Slides?, , , , , , , , and . Bildverarbeitung für die Medizin, page 26-31. Springer, (2020)Methods for Weight-bearing C-arm Cone-Beam Computed Tomography of the Knees (Methoden für die C-Bogen Kegelstrahl-Computertomographie zur Kniebildgebung unter Last). University of Erlangen-Nuremberg, Germany, (2021)base-search.net (ftuniverlangen:oai:ub.uni-erlangen.de-opus:17559).Smooth Ride: Low-Pass Filtering of Manual Segmentations Improves Consensus., , , , , , , , and . Bildverarbeitung für die Medizin, page 86-91. Springer Vieweg, (2019)Inertial Measurements for Motion Compensation in Weight-Bearing Cone-Beam CT of the Knee., , , , , , and . MICCAI (3), volume 12263 of Lecture Notes in Computer Science, page 14-23. Springer, (2020)Isocenter Determination from Projection Matrices of a C-Arm CBCT., , , and . Bildverarbeitung für die Medizin, page 276-281. Springer Vieweg, (2019)