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Title:

Ultra-Low-Dose CTPA Using Sparse Sampling CT Combined with the U-Net for Deep Learning-Based Artifact Reduction: An Exploratory Study

Document type:
Zeitschriftenaufsatz
Author(s):
Sauter, Andreas Philipp; Thalhammer, Johannes; Meurer, Felix; Dorosti, Tina; Sasse, Daniel; Ritter, Jessica; Leonhardt, Yannik; Pfeiffer, Franz; Schaff, Florian; Pfeiffer, Daniela
Journal title:
Journal of Imaging Informatics in Medicine
Year:
2025
Fulltext / DOI:
doi:10.1007/s10278-025-01639-8
Publisher:
Springer Science and Business Media LLC
E-ISSN:
2948-2933
Date of publication:
27.08.2025
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