Patient-derived PixelPrint phantoms for evaluating clinical imaging performance of a deep learning CT reconstruction algorithm is a research paper published in Physics in Medicine and Biology (2024). On theSindex it has a DataRank of 0. It has been cited 6 times.
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National Institutes of Health
Grant: R01CA249538
NIBIB NIH HHS
Grant: R01 EB030494
NIBIB NIH HHS
Grant: R01 EB031592
NIBIB NIH HHS
Grant: R01 EB035092
NHLBI NIH HHS
Grant: R01 HL166236
National Institutes of Health
Grant: 5R01CA249538-05
Nonlinear performance analysis and prediction for robust low dose lung CT
National Institutes of Health
Grant: 5R01EB031592-03
Framework for radiomics standardization with application in pulmonary CT scans
National Institutes of Health
Grant: 5R01EB035092-02
PixelPrint: a 3D printing platform for creating lifelike patient-based CT phantoms
National Institutes of Health
Grant: 1R01HL166236-01
Speckle x-ray imaging: detecting early changes in lung microstructure
National Institutes of Health
Grant: 5R01EB030494-02
Patient-specific, high-sensitivity spectral CT for assessment of pancreatic cancer
FWCI
1.81
Citation Percentile
0.8%
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