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  3. A cross-scanner and cross-tracer deep learning method for the recovery of standard-dose imaging quality from low-dose PET
 

A cross-scanner and cross-tracer deep learning method for the recovery of standard-dose imaging quality from low-dose PET

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BORIS DOI
10.48350/175960
Publisher DOI
10.1007/s00259-021-05644-1
PubMed ID
34950968
Date of Publication
2022
Publication Type
Article
Subject(s)
500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health
Language(s)
en
Contributor(s)
Xue, Song
Universitätsklinik für Nuklearmedizin
Guo, Rui
Bohn, Karl Peter
Universitätsklinik für Nuklearmedizin
Matzke, Jared
Viscione, Marco
Alberts, Ian Leigh
Universitätsklinik für Nuklearmedizin
Meng, Hongping
Sun, Chenwei
Zhang, Miao
Zhang, Min
Sznitman, Raphaelorcid-logo
ARTORG Center - Artificial Intelligence in Medical Image Computing
ARTORG Center for Biomedical Engineering Research
El Fakhri, Georges
Rominger, Axel Oliverorcid-logo
Universitätsklinik für Nuklearmedizin
Li, Biao
Shi, Kuangyuorcid-logo
Universitätsklinik für Nuklearmedizin
Additional Credits
ARTORG Center - Artificial Intelligence in Medical Image Computing
Universitätsklinik für Nuklearmedizin
Series
European journal of nuclear medicine and molecular imaging
Publisher
Springer-Verlag
ISSN
1619-7070
Access(Rights)
open.access
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