Machine learning for large 3D tomographic images September 2018 - September 2020
Collection
Collection
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Pushing the temporal resolution in absorption and Zernike phase contrast nanotomography: Enabling fast in situ experiments Article
Journal of Synchrotron Radiation, 1339-1346.S. Flenner (Silja), M. Storm (Malte), A. Kubec (Adam), E. Longo (Elena), F. Doring (Florian), D.M. Pelt (Daniël), C. David (Christian), M. Muller (Martin) and I. Greving (Imke)
September 2020
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Deep denoising for multi-dimensional synchrotron X-ray tomography without high-quality reference data Article
Nature Scientific ReportsA.A. Hendriksen (Allard), M. Bührer (Minna), L. Leone (Laura), M. Merlini (Marco), N.R. Viganò (Nicola), D.M. Pelt (Daniël), F. Marone (Federica), M. di Michiel (Marco) and K.J. Batenburg (Joost)
June 2021
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Improving reproducibility in synchrotron tomography using implementation-adapted filters Article
Journal of Synchrotron Radiation, 1583-1597.P.S. Ganguly (Poulami), D.M. Pelt (Daniël), D. Gürsoy (Doǧa), F. De Carlo (Francesco) and K.J. Batenburg (Joost)
September 2021
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Tomosipo: fast, flexible, and convenient 3D tomography for complex scanning geometries in Python Article
Optics Express, 29(24), 40494-40513.A.A. Hendriksen (Allard), D.E. Schut (Dirk), W.J. Palenstijn (Willem Jan), N.R. Viganò (Nicola), J. Kim (Jisoo), D.M. Pelt (Daniël), T. van Leeuwen (Tristan) and K.J. Batenburg (Joost)
November 2021
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Foam-like phantoms for comparing tomography algorithms Article
Journal of Synchrotron Radiation, 254-265.D.M. Pelt (Daniël), A.A. Hendriksen (Allard) and K.J. Batenburg (Joost)
January 2022
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A tomographic workflow to enable deep learning for X-ray based foreign object detection Article
Expert Systems with Applications, 117768:1-117768:15.M.T. Zeegers (Mathé), T. van Leeuwen (Tristan), D.M. Pelt (Daniël), S.B. Coban (Sophia), R. van Liere (Robert) and K.J. Batenburg (Joost)
November 2022