Multiparametric radiomics methods for breast cancer tissue characterization using radiological imaging is a research paper published in Breast Cancer Research and Treatment (2020). On theSindex it has a DataRank of 0. It has been cited 50 times.
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National Cancer Institute
Grant: 5P30CA006973
National Institutes of Health
Grant: U01CA140204
National Institutes of Health
Grant: 1R01CA190299
NVIDIA Corporation
Grant: Tesla K40
NCI NIH HHS
Grant: P30 CA008748
NCI NIH HHS
Grant: P30 CA006973
NCI NIH HHS
Grant: R01 CA190299
National Institutes of Health
Grant: 5R01CA190299-07
Correction of Diffusion Gradient Bias in Quantitative Diffusivity Metrics for MultiPlatform Clinical Oncology Trials
National Institutes of Health
Grant: 3P30CA006973-53S2
Regional Oncology Research Center
National Institutes of Health
Grant: 1R01CA190299-01A1
Elimination of Instrumental Bias for Quantitative Diffusion Imaging in Clinical Oncology Trials
National Institutes of Health
Grant: 5U01CA140204-03
Multi-Modality Quantitiative Imaging for Evaluation of Response to Cancer Therapy
FWCI
3.66
Citation Percentile
0.9%
Citation Trend
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Sustainable Development Goals
Additional file 1 of PET/MR fusion texture analysis for the clinical outcome prediction in soft-tissue sarcoma
Additional file 1 of PET/MR fusion texture analysis for the clinical outcome prediction in soft-tissue sarcoma
MPRAD: A Multiparametric Radiomics Framework