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Compensating Projection Interpolation Artifacts in Sparse-View CT using a Two- Stage CNN with learnable Upscaling2026 e-Journal of Nondestructive Testing article Medicine Medical Imaging Techniques and Applications Open access
Ammar Alsaffar, Faizan Ahmad, Ahmed Baraka, Steffen Kieß, CT-Lab UG, Jajnabalkya Guhathakurta, +3 more
0citations -
Benchmarking learned algorithms for computed tomography image reconstruction tasks2025 Applied Mathematics for Modern Challenges article Medicine Medical Imaging Techniques and Applications Open access
Maximilian B. Kiss, Ander Biguri, Zakhar Shumaylov, Ferdia Sherry, K. Joost Batenburg, Carola‐Bibiane Schönlieb, +1 more
5citations -
Deep Reinforcement Learning for Optimizing Angle Selection and Dose Allocation in CT Reconstruction2026 arXiv (Cornell University) preprint Medicine Medical Imaging Techniques and Applications Open access
Tianyuan Wang, Daniël M. Pelt, Felix F. Lucka, Tristan van Leeuwen, K. Joost Batenburg
0citations -
Deep Reinforcement Learning for Optimizing Angle Selection and Dose Allocation in CT Reconstruction2026 arXiv (Cornell University) preprint Medicine Medical Imaging Techniques and Applications Open access
Tianyuan Wang, Daniël M. Pelt, Felix F. Lucka, Tristan van Leeuwen, K. Joost Batenburg
0citations -
Deep reinforcement learning for optimising angle selection and dose allocation in CT reconstruction2026 Applied Mathematics in Science and Engineering article Medicine Medical Imaging Techniques and Applications Open access
T Wang, Daniël M. Pelt, Felix F. Lucka, Tristan van Leeuwen, Kees Joost Batenburg
0citations
7 results