Advancement of defect detection and quantifying measurement uncertainty in X-ray CT inspection
Source
Antwerpen, University of Antwerp, Faculty of Science, 2026,xvi, 156 p.
Investigating the influence of individual physical effects on dimensional measurement deviations using XCT simulations
Source
Measurement - ISSN 0263-2241-263 (2026) p. 1-18
Superimposing synthetic defects into real XCT data and segmentation-based comparison for advanced probability of detection evaluation
Source
Journal of nondestructive evaluation - ISSN 0195-9298-44:4 (2025) p. 1-18
Degradation detection in rice products via shape variations in XCT simulation-empowered AI
Source
Journal of nondestructive evaluation - ISSN 0195-9298-44:1 (2025) p. 1-15
Segmentation of pores in carbon fiber reinforced polymers using the u-net convolutional neural network
Source
Acta Polytechnica CTU Proceedings-42 (2023) p. 87-93