Automatic Inter-Frame Patient Motion Correction for Dynamic Cardiac PET Using Deep Learning is a research paper published in IEEE Transactions on Medical Imaging (2021). On theSindex it has a DataRank of 0. It has been cited 41 times.
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American Heart Association
Grant: 18PRE33990138
NIH
Grant: R01CA224140
NIH
Grant: R01EB025468
NIH
Grant: R01HL154345
NIH
Grant: R03EB027209
National Institutes of Health
Grant: 5R03EB027209-02
Data-Driven Simultaneous Respiratory and Body Motion Correction for PET/CT
National Institutes of Health
Grant: 5R01CA224140-03
Personalized Task-Based Respiratory Motion Correction for Low-Dose PET/CT
National Institutes of Health
Grant: 1R01EB025468-01A1
Quantitative Low-Dose PET Imaging
National Institutes of Health
Grant: 5R01HL154345-02
Development of advanced cardiac SPECT imaging technologies
NCATS NIH HHS
Grant: UL1 TR001863
FWCI
3.68
Citation Percentile
0.9%
Citation Trend
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Sustainable Development Goals
Additional file 1 of Feasibility study of a SiPM-fiber detector for non-invasive measurement of arterial input function for preclinical and clinical positron emission tomography
Additional file 1 of Feasibility study of a SiPM-fiber detector for non-invasive measurement of arterial input function for preclinical and clinical positron emission tomography