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Precision Learning: Towards Use of Known Operators in Neural Networks.

, , , , , , and . ICPR, page 183-188. IEEE Computer Society, (2018)

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Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-beam CT., , , , , , , , , and . CoRR, (2019)Comparison of Different Approaches for Measuring Tibial Cartilage Thickness., , , , , , , , , and . J. Integr. Bioinform., (2017)Deep Learning with Multimodal Integration for Predicting Recurrence in Patients with Non-Small Cell Lung Cancer., , and . Sensors, 22 (17): 6594 (2022)Abstract: Inertial Measurements for Motion Compensation in Weight-bearing Cone-beam CT of the Knee., , , , , , and . Bildverarbeitung für die Medizin, page 336. Springer, (2021)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)Machine learning-powered prediction of recurrence in patients with non-small cell lung cancer using quantitative clinical and radiomic biomarkers., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Noise2Contrast: Multi-contrast Fusion Enables Self-supervised Tomographic Image Denoising., , , , , , , , , and 3 other author(s). IPMI, volume 13939 of Lecture Notes in Computer Science, page 771-782. Springer, (2023)Smooth Ride: Low-Pass Filtering of Manual Segmentations Improves Consensus., , , , , , , , and . Bildverarbeitung für die Medizin, page 86-91. Springer Vieweg, (2019)Projection-Based Denoising Method for Photon-Counting Energy-Resolving Detectors., , , , , , , , , and 2 other author(s). Bildverarbeitung für die Medizin, page 137-142. Springer, (2015)Precision Learning: Towards Use of Known Operators in Neural Networks., , , , , , and . ICPR, page 183-188. IEEE Computer Society, (2018)