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Showing results (31-40 of 35) with videos related to

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Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|August 14, 2025
Molecular Portraits of Social Adversity in Breast Cancer: Neighborhood Disadvantage is Associated with Epigenetic Deregulation of Key Oncogenic PathwaysAristeidis G Telonis, Alexandra E Hernandez, Peter A Borowsky, et al.
NPJ Breast Cancer|November 18, 2016
Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data setHui Li, Yitan Zhu, Elizabeth S Burnside, et al.
Radiology|May 5, 2016
MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene AssaysHui Li, Yitan Zhu, Elizabeth S Burnside, et al.
AJR. American Journal of Roentgenology|May 27, 2026
Measuring Radiology's Impact: Core Concepts for Tracking Patient-Oriented Outcomes and Delivering High-Value Care-A Perspective by the ACR's Relevance and Impact CommitteeAlexander M McKinney, Thiago A Braga, John E Jordan, et al.
Cancer|December 1, 2015
Using computer-extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stageElizabeth S Burnside, Karen Drukker, Hui Li, et al.
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Showing results (31-40 of 35) with videos related to

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You have reached the last page of results.This site can display upto 35 results.
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|August 14, 2025
Molecular Portraits of Social Adversity in Breast Cancer: Neighborhood Disadvantage is Associated with Epigenetic Deregulation of Key Oncogenic PathwaysAristeidis G Telonis, Alexandra E Hernandez, Peter A Borowsky, et al.
NPJ Breast Cancer|November 18, 2016
Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data setHui Li, Yitan Zhu, Elizabeth S Burnside, et al.
Radiology|May 5, 2016
MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene AssaysHui Li, Yitan Zhu, Elizabeth S Burnside, et al.
AJR. American Journal of Roentgenology|May 27, 2026
Measuring Radiology's Impact: Core Concepts for Tracking Patient-Oriented Outcomes and Delivering High-Value Care-A Perspective by the ACR's Relevance and Impact CommitteeAlexander M McKinney, Thiago A Braga, John E Jordan, et al.
Cancer|December 1, 2015
Using computer-extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stageElizabeth S Burnside, Karen Drukker, Hui Li, et al.
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