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Articles by K. Joost
[2405.02509] Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
[2309.00494] Multi-stage Deep Learning Artifact Reduction for Computed Tomography
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
[2306.05907] 2DeteCT -- A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning
arXiv:2306.05907 (eess) Download a PDF of the paper titled 2DeteCT -- A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning, by Maximilian B.
CT-based data generation for foreign object detection on a single X-ray projection
Scientific Reports, Feb 2023 This is a preview of a remote PDF: https://www.nature.com/articles/s41598-023-29079-w.pdf Andriiashen, Vladyslav, van Liere, Robert, van Leeuwen, Tristan, Batenburg, K. Joost. , Scientific Reports, DOI: 10.1038/s41598-023-29079-w
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