Technical note: Phantom‐based training framework for convolutional neural network CT noise reduction is a research paper published in Medical Physics (2022). On theSindex it has a DataRank of 0. It has been cited 8 times.
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National Institutes of Health
Grant: R01 EB016966
National Institutes of Health
Grant: R01EB017095
National Institutes of Health
Grant: R01EB028590
National Institutes of Health
Grant: R01EB028591
National Institutes of Health
Grant: C06RR018898
National Institutes of Health
Grant: 4R01EB016966-04
Photon-Counting Spectral CT to Reduce Dose and Detect Early Vascular Disease
National Institutes of Health
Grant: 5R01EB028590-04
Comprehensive characterization of coronary atherosclerotic disease using photon-counting-detector dual-source CT and its impact on patient management
National Institutes of Health
Grant: 1C06RR018898-01
EXTRAMURAL RESEARCH FACILITIES IMPROVEMENT PROGRAM
National Institutes of Health
Grant: 5R01EB028591-03
Quantitative, non-invasive characterization of urinary stone composition and fragility using multi-energy CT and machine learning techniques
National Institutes of Health
Grant: 5R01EB017095-03
Trade-offs in human observer performance, image quality metrics, and patient dose
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