A Radiomics Model Based on Synthetic MRI Acquisition for Predicting Neoadjuvant Systemic Treatment Response in Triple-Negative Breast Cancer is a research paper published in Radiology Imaging Cancer (2023). On theSindex it has a DataRank of 1.0. It has been cited 31 times, with 26 citing works in its 1-hop citation network.
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Base Score Contribution
0.520
From this paper's citation signal
Citation Network Contribution
0.501
From 17 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 26 citers.
National Institutes of Health
Grant: R01 CA231513
National Institutes of Health
Grant: P30 CA016672
National Cancer Institute
Grant: R01 CA231513, P30 CA016672
Cancer Prevention and Research Institute of Texas
Grant: RP160710-C1-CPRIT
National Institutes of Health
Grant: 3P30CA016672-41S4
Cancer Center Support (CORE) Grant
National Institutes of Health
Grant: 5R01CA231513-04
Development and Dissemination of Clinical CEST MRI Acquisition and Analysis Methods for Cancer Imaging Applications
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