Carotid atherosclerotic plaque segmentation in multi-weighted MRI using a two-stage neural network: advantages of training with high-resolution imaging and histology is a research paper published in Frontiers in Cardiovascular Medicine (2023). On theSindex it has a DataRank of 0. It has been cited 7 times.
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NIH
Grant: R01 HL132600, R01 HL150891, R01 EB031051, R01 HL159803, R56 EB028287
NHLBI NIH HHS
Grant: R01 HL150891
NHLBI NIH HHS
Grant: R01 HL159803
NIBIB NIH HHS
Grant: R56 EB028287
NHLBI NIH HHS
Grant: R01 HL132600
NIBIB NIH HHS
Grant: R01 EB031051
NHLBI NIH HHS
Grant: R01 HL153262
National Institutes of Health
Grant: 5R01HL150891-04
PET Detection of CCR2 in Human Atherosclerosis
National Institutes of Health
Grant: 5R01EB031051-02
A no-gold-standard framework to objectively evaluate quantitative imaging methods with patient data
National Institutes of Health
Grant: 5R01HL132600-03
FIRST-IN-HUMAN TRIAL OF A RECEPTOR-TARGETED NANOPARTICLE PET TRACER FOR ATHEROSCLEROSIS
National Institutes of Health
Grant: 1R56EB028287-01A1
A fully automated PET radiomics framework
National Institutes of Health
Grant: 5R01HL159803-03
A Receptor-Targeted Nanoparticle PET Tracer in Human Carotid Atherosclerosis
FWCI
1.17
Citation Percentile
0.8%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals