Deep learning–based attenuation correction for whole-body PET — a multi-tracer study with 18F-FDG, 68 Ga-DOTATATE, and 18F-Fluciclovine is a research paper published in European Journal of Nuclear Medicine and Molecular Imaging (2022). On theSindex it has a DataRank of 0. It has been cited 25 times.
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National Institute of Biomedical Imaging and Bioengineering
Grant: R03EB027209
National Institute of Biomedical Imaging and Bioengineering
Grant: R21EB028954
National Institutes of Health
Grant: 5R03EB027209-02
Data-Driven Simultaneous Respiratory and Body Motion Correction for PET/CT
National Institutes of Health
Grant: 5R21EB028954-02
Data-driven Head Motion Correction in PET Imaging Using Deep Learning
FWCI
2.63
Citation Percentile
0.9%
Citation Trend
Fields of Study
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Sustainable Development Goals