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