Performance of a deep learning reconstruction method on clinical chest-abdomen-pelvis scans from a dual-layer detector CT system
Objective: The objective of this study was to compare the performance and robustness of a deep learning reconstruction method against established alte...
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| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article (Journal) |
| Language: | English |
| Published: |
2025 September
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| In: |
Tomography
Year: 2025, Volume: 11, Issue: 9, Pages: 1-12 |
| ISSN: | 2379-139X |
| DOI: | 10.3390/tomography11090094 |
| Online Access: | Verlag, kostenfrei, Volltext: https://doi.org/10.3390/tomography11090094 Verlag, kostenfrei, Volltext: https://www.mdpi.com/2379-139X/11/9/94 
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| Author Notes: | Christopher Schuppert, Stefanie Rahn, Nikolas D. Schnellbächer, Frank Bergner, Michael Grass, Hans-Ulrich Kauczor, Stephan Skornitzke, Tim F. Weber and Thuy D. Do |
MARC
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