WNet: A Data-Driven Dual-Domain Denoising Model for Sparse-View Computed Tomography With a Trainable Reconstruction Layer

Dokumenttyp:: Zeitschriftenaufsatz
Autor(en):: Cheslerean-Boghiu, Theodor; Hofmann, Felix C.; Schulthei, Manuel; Pfeiffer, Franz; Pfeiffer, Daniela; Lasser, Tobias
Titel:: WNet: A Data-Driven Dual-Domain Denoising Model for Sparse-View Computed Tomography With a Trainable Reconstruction Layer
Zeitschriftentitel:: IEEE Transactions on Computational Imaging
Jahr:: 2023
Band / Volume:: 9
Seitenangaben Beitrag:: 120-132
Volltext / DOI:: doi:10.1109/tci.2023.3240078
Verlag / Institution:: Institute of Electrical and Electronics Engineers (IEEE)
E-ISSN:: 2333-94032334-01182573-0436
Publikationsdatum:: 01.01.2023
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