The Biological Meaning of Radiomic Features is a research paper published in Radiology (2021). On theSindex it has a DataRank of 0. It has been cited 545 times.
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National Institutes of Health
Grant: U01 CA143062
National Institutes of Health
Grant: U54 CA143970
NCI NIH HHS
Grant: R01 CA187532
National Institutes of Health
Grant: 5U01CA143062-07
Radiomics of NSCLC
National Institutes of Health
Grant: 5U54CA143970-05
Escape from Homeostasis: Integrated Mathmatical and Experimental Investigation
FWCI
46.90
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of MRI-based radiomics value for predicting the survival of patients with locally advanced cervical squamous cell cancer treated with concurrent chemoradiotherapy
Additional file 1 of MRI-based radiomics value for predicting the survival of patients with locally advanced cervical squamous cell cancer treated with concurrent chemoradiotherapy
Additional file 1 of Interpretability of radiomics models is improved when using feature group selection strategies for predicting molecular and clinical targets in clear-cell renal cell carcinoma: insights from the TRACERx Renal study
Additional file 1 of Interpretability of radiomics models is improved when using feature group selection strategies for predicting molecular and clinical targets in clear-cell renal cell carcinoma: insights from the TRACERx Renal study
Additional file 1 of A systematic review of radiomics in giant cell tumor of bone (GCTB): the potential of analysis on individual radiomics feature for identifying genuine promising imaging biomarkers
Additional file 1 of A systematic review of radiomics in giant cell tumor of bone (GCTB): the potential of analysis on individual radiomics feature for identifying genuine promising imaging biomarkers
Additional file 2 of A systematic review of radiomics in giant cell tumor of bone (GCTB): the potential of analysis on individual radiomics feature for identifying genuine promising imaging biomarkers
Additional file 2 of A systematic review of radiomics in giant cell tumor of bone (GCTB): the potential of analysis on individual radiomics feature for identifying genuine promising imaging biomarkers
Additional file 3 of A systematic review of radiomics in giant cell tumor of bone (GCTB): the potential of analysis on individual radiomics feature for identifying genuine promising imaging biomarkers
Additional file 3 of A systematic review of radiomics in giant cell tumor of bone (GCTB): the potential of analysis on individual radiomics feature for identifying genuine promising imaging biomarkers
Additional file 1 of Biological underpinnings of radiomic magnetic resonance imaging phenotypes for risk stratification in IDH wild-type glioblastoma
Additional file 1 of Biological underpinnings of radiomic magnetic resonance imaging phenotypes for risk stratification in IDH wild-type glioblastoma
Additional file 1 of Association between dichotomized VASARI feature and overall survival in glioblastoma patients: a single-institution propensity score matching analysis
Additional file 1 of Association between dichotomized VASARI feature and overall survival in glioblastoma patients: a single-institution propensity score matching analysis
Additional file 1 of CT-based radiomics nomogram to predict proliferative hepatocellular carcinoma and explore the tumor microenvironment
Additional file 1 of CT-based radiomics nomogram to predict proliferative hepatocellular carcinoma and explore the tumor microenvironment