Stochastic three-dimensional numerical phantoms to enable computational studies in quantitative optoacoustic computed tomography of breast cancer is a research paper published in Journal of Biomedical Optics (2023). On theSindex it has a DataRank of 0.537. It has been cited 19 times, with 7 citing works in its 1-hop citation network.
Scored on demand from live citation data
Linked data & code
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Base Score Contribution
0.449
From this paper's citation signal
Citation Network Contribution
0.0881
From 5 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 7 citers.
NIBIB NIH HHS
Grant: P41 EB031772
NIBIB NIH HHS
Grant: R01 EB028652
NIBIB NIH HHS
Grant: R01 EB031585
National Institutes of Health
Grant: 5R01EB028652-04
Advanced image reconstruction for accurate and high-resolution breast ultrasound tomography
National Institutes of Health
Grant: 1R01EB031585-01A1
A Computational Framework Enabling Virtual Imaging Trials of 3D Quantitative Optoacoustic Tomography Breast Imaging
FWCI
1.60
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals