Mapping Performance of CT

Mapping Performance of CT

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Veröffentlicht in:International Symposium on Digital Industrial Radiology and Computed Tomography (9. : 2019 : Fürth) International Symposium on Digital Industrial Radiology and Computed Tomography
1. Verfasser: Brierley, N. (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2019
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Titel Jahr Verfasser
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New MesoFocus NDT X-Ray tube concept 2019 Riedo, A.
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Robot accuracy and its impact on robot-CT reconstruction quality 2019 Kang, R.
Research on the performance of tungsten-plug-structure diamond target for micro-computed tomography 2019 Ma, Y.-t.
Resolution Limits of the CRYCAM X-ray Microradiography Camera 2019 Tous, J.
Self-supervised Learning for Pore Detection in CT-Scans of Cast Aluminum Parts 2019 Fuchs, P.
Limited view X-ray CT using a regularized Fourier based imaging method 2019 Huthwaite, P.
New photon counting detector for high energy NDT applications 2019 Peterzol, A.
Towards a full physics radiography model 2019 Schumm, A.
X-ray and Computed Tomography as a tool for quality assurance and process optimization in the field of additive manufacturing 2019 Sperling, P.
X-ray sources for high throughput and extreme resolutions 2019 Espes, E.
Preliminary Research on Laser Plasma Accelerator based Inverse Compton Scattering X-ray Imaging 2019 Xiao, Y.
Evaluation of X-ray target materials to improve CT-based measurement of fiber orientations inside CF-SMC components 2019 Teuwsen, J.
pyXIT: Python GUI Software for CT Imaging, Learning and Experimental Algorithms; Example: Multi Material Phase Retrieval 2019 Ullherr, M.
XRM-Il nanoCT SEM based computed tomography 2019 Lutter, F.
RoboCT Application for in-situ Inspection of Join Technologies of large scale Objects 2019 Holub, W.
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