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Disassemblable Fieldwork CT Scanner Using a 3D-printed Calibration Phantom., , , , , и . CoRR, (2020)Deriving Neural Network Architectures Using Precision Learning: Parallel-to-Fan Beam Conversion., , , , , и . GCPR, том 11269 из Lecture Notes in Computer Science, стр. 503-517. Springer, (2018)Patch-based Carcinoma Detection on Confocal Laser Endomicroscopy Images - A Cross-site Robustness Assessment., , , , , , , , и . BIOIMAGING, стр. 27-34. SciTePress, (2018)Towards Arbitrary Noise Augmentation - Deep Learning for Sampling from Arbitrary Probability Distributions., , , и . MLMIR@MICCAI, том 11074 из Lecture Notes in Computer Science, стр. 129-137. Springer, (2018)Estimating the Fundamental Matrix Without Point Correspondences With Application to Transmission Imaging., , , , и . ICCV, стр. 1072-1081. IEEE, (2019)Abstract: Some Investigations on Robustness of Deep Learning in Limited Angle Tomography., , , , , и . Bildverarbeitung für die Medizin, стр. 21. Springer Vieweg, (2019)Deep Learning Fundamentals., , , и . Bildverarbeitung für die Medizin, стр. 5. Springer Vieweg, (2018)Patch-based Carcinoma Detection on Confocal Laser Endomicroscopy Images - A Cross-Site Robustness Assessment., , , , , , , , и . CoRR, (2017)Deep Learning Computed Tomography., , , и . MICCAI (3), том 9902 из Lecture Notes in Computer Science, стр. 432-440. (2016)Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract., , , , , , , , и . BIOSTEC (Selected Papers), том 1024 из Communications in Computer and Information Science, стр. 67-85. Springer, (2018)