Improved bias and reproducibility of coronary artery calcification features using deconvolution is a research paper published in Journal of Medical Imaging (2023). On theSindex it has a DataRank of 0. It has been cited 5 times.
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NHLBI NIH HHS
Grant: HHSN268201800005I
NHLBI NIH HHS
Grant: R41 HL144271
NIBIB NIH HHS
Grant: T32 EB007509
NHLBI NIH HHS
Grant: HHSN268201800003I
NHLBI NIH HHS
Grant: HHSN268201800004I
NHLBI NIH HHS
Grant: R01 HL143484
NHLBI NIH HHS
Grant: R01 HL165218
NHLBI NIH HHS
Grant: R01 HL167199
NHLBI NIH HHS
Grant: HHSN268201800007I
NHLBI NIH HHS
Grant: R44 HL156811
NHLBI NIH HHS
Grant: HHSN268201800006I
NHLBI NIH HHS
Grant: R01 HL098445
NIEHS NIH HHS
Grant: R35 ES031702
National Institutes of Health
Grant: 5T32EB007509-18
Interdisciplinary Biomedical Imaging Training Program
National Institutes of Health
Grant: 5R44HL156811-03
System-independent quantitative cardiac CT perfusion
National Institutes of Health
Grant: 5R01HL098445-02
Longitudinal Changes in Pericardial Adiposity and Subclinical Atherosclerosis
National Institutes of Health
Grant: 5R01HL143484-03
Computer assisted coronary artery stent interventions
FWCI
0.77
Citation Percentile
0.7%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals
Improved accuracy and reproducibility of coronary artery cal-cification features using deconvolution