SES-03: Deep Learning and Visualization Techniques
- Super-resolution X-ray tomography for architectured lattice materials using artificial intelligence
Antoine Klos, Luc Salvo, Pierre Lhuissier
Univ. Grenoble Alpes, CNRS, Grenoble INP, SIMAP, F-38000 Grenoble, France
- DIPNet: Integrating Deep Image Prior into Kernel Basis Network for Noise Suppression in Edge Illumination Phase Contrast X-ray Imaging
Neam Halat, Jan Sijbers, Jan De Beenhouwer
imec vision lab, Department of Physics, University of Antwerp
- Dual Domain Swin Transformer based Reconstruction method for Sparse-View Computed Tomography
Jonas Van der Rauwelaert, Caroline Bossuyt, Jan Sijbers
University of Antwerp, Belgium
- Visual Exploration of Large SCT Scans using AccuStripes
Anja Heim1, Thomas Lang1, Christoph Heinzl1,2
1Fraunhofer Institute for Integrated Circuits IIS, Division Development Center X-ray Technology, Germany; 2University of Passau, Germany
- Deep Incremental Angle Refinement Model for Limited-Angle CT Reconstruction - A Case Study on Concrete Specimens
Xingyu Liu, Guangpu Yang, Faizan Ahmad, Ammar Alsaffar, Steffen Kiess, Sven Simon
Department of Computational Imaging Systems, ITI, University of Stuttgart, Germany