The NOVA project: maximizing beam time efficiency through synergistic analyses of SRμCT data

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SEEK ID: https://publications.h-its.org/publications/253

SEEK ID: https://publications.h-its.org/publications/253

DOI: 10.1117/12.2275959

Research Groups: Data Mining and Uncertainty Quantification

Publication type: InProceedings

Journal: Developments in X-Ray Tomography XI

Book Title: Developments in X-Ray Tomography XI

Editors: Bert Müller and Ge Wang

Publisher: SPIE

Citation: Developments in X-Ray Tomography XI,p.24,SPIE

Date Published: 7th Sep 2017

Registered Mode: by DOI

Authors: Sebastian Schmelzle, Thomas van de Kamp, Michael Heethoff, Vincent Heuveline, Philipp Lösel, Jürgen Becker, Felix Beckmann, Frank Schluenzen, Jörg U. Hammel, Andreas Kopmann, Wolfgang Mexner, Matthias Vogelgesang, Nicholas T. Jerome, Oliver Betz, Rolf Beutel, Benjamin Wipfler, Alexander Blanke, Steffen Harzsch, Marie Hörnig, Tilo Baumbach

Citation
Schmelzle, S., van de Kamp, T., Heethoff, M., Heuveline, V., Lösel, P., Becker, J., Beckmann, F., Schluenzen, F., Hammel, J. U., Kopmann, A., Mexner, W., Vogelgesang, M., Jerome, N. T., Betz, O., Beutel, R., Wipfler, B., Blanke, A., Harzsch, S., Hörnig, M., & Baumbach, T. (2017). The NOVA project: maximizing beam time efficiency through synergistic analyses of SRμCT data. In B. Müller & G. Wang (Eds.), Developments in X-Ray Tomography XI. SPIE. https://doi.org/10.1117/12.2275959
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Created: 7th Sep 2019 at 10:54

Last updated: 5th Mar 2024 at 21:23

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