6 citations · 9 across the 2 of their papers we have counts for
3 papers
A tomographic workflow to enable deep learning for X-ray based foreign object detection
Mathé T. Zeegers, Tristan van Leeuwen, Daniël M. Pelt +3
Detection of unwanted (`foreign') objects within products is a common procedure in many branches of industry for maintaining production quality. X-ray imaging is a fast, non-invasi…
ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral Tomography
Mathé T. Zeegers, Ajinkya Kadu, Tristan van Leeuwen +1
Advances in multi-spectral detectors are causing a paradigm shift in X-ray Computed Tomography (CT). Spectral information acquired from these detectors can be used to extract volum…
A Multi-channel DART Algorithm
Mathé Zeegers, Felix Lucka, Kees Joost Batenburg
Tomography deals with the reconstruction of objects from their projections, acquired along a range of angles. Discrete tomography is concerned with objects that consist of a small…