A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features

Effects of MRI scanner parameters on breast cancer radiomics

(2017) Ashirbani Saha et al.   EXPERT SYSTEMS WITH APPLICATIONS

Identifying relations between imaging phenotypes and molecular subtypes of breast cancer: Model discovery and external validation

(2017) Jia Wu et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Radiomic analysis reveals DCE-MRI features for prediction of molecular subtypes of breast cancer

(2017) Ming Fan et al.   PLoS One

MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays

(2016) Hui Li et al.   RADIOLOGY

Breast Cancer Molecular Subtype as a Predictor of the Utility of Preoperative MRI

(2015) Richard Ha et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Recurrence-free survival in breast cancer is associated with MRI tumor enhancement dynamics quantified using computer algorithms

(2015) Maciej A. Mazurowski et al.   EUROPEAN JOURNAL OF RADIOLOGY

MRI phenotype of breast cancer: Kinetic assessment for molecular subtypes

(2015) Eric Blaschke et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Histogram analysis of apparent diffusion coefficient at 3.0t: Correlation with prognostic factors and subtypes of invasive ductal carcinoma

(2015) Eun Jeong Kim et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Computational approach to radiogenomics of breast cancer: Luminal A and luminal B molecular subtypes are associated with imaging features on routine breast MRI extracted using computer vision algorithms

(2015) Lars J. Grimm et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Can Breast Cancer Molecular Subtype Help to Select Patients for Preoperative MR Imaging?

(2015) Lars J. Grimm et al.   RADIOLOGY

Luminal-Type Breast Cancer: Correlation of Apparent Diffusion Coefficients with the Ki-67 Labeling Index

(2015) Naoko Mori et al.   RADIOLOGY

Radiogenomics: What It Is and Why It Is Important

(2015) Maciej A. Mazurowski   Journal of the American College of Radiology

Identifying Triple-Negative Breast Cancer Using Background Parenchymal Enhancement Heterogeneity on Dynamic Contrast-Enhanced MRI: A Pilot Radiomics Study

(2015) Jeff Wang et al.   PLoS One

Computerized Image Analysis for Identifying Triple-Negative Breast Cancers and Differentiating Them from Other Molecular Subtypes of Breast Cancer on Dynamic Contrast-enhanced MR Images: A Feasibility Study

(2014) Shannon C. Agner et al.   RADIOLOGY

Radiogenomic Analysis of Breast Cancer: Luminal B Molecular Subtype Is Associated with Enhancement Dynamics at MR Imaging

(2014) Maciej A. Mazurowski et al.   RADIOLOGY

Identification of Intrinsic Imaging Phenotypes for Breast Cancer Tumors: Preliminary Associations with Gene Expression Profiles

(2014) Ahmed Bilal Ashraf et al.   RADIOLOGY

Intratumoral heterogeneity of the distribution of kinetic parameters in breast cancer: comparison based on the molecular subtypes of invasive breast cancer

(2014) Ken Yamaguchi et al.   Breast Cancer

MR Imaging Features of Triple-Negative Breast Cancers

(2013) Janice S. Sung et al.   Breast Journal

Radiogenomic Analysis of Breast Cancer Using MRI: A Preliminary Study to Define the Landscape

(2012) Shota Yamamoto et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Molecular subclasses of breast cancer: how do we define them? The IMPAKT 2012 Working Group Statement

(2012) S. Guiu et al.   ANNALS OF ONCOLOGY

Magnetic Resonance Imaging Features in Triple-Negative Breast Cancer: Comparison With Luminal and HER2-Overexpressing Tumors

(2012) Melania Costantini et al.   Clinical Breast Cancer

Correlations between diffusion-weighted imaging and breast cancer biomarkers

(2012) Laura Martincich et al.   EUROPEAN RADIOLOGY

Analysis of complete response by MRI following neoadjuvant chemotherapy predicts pathological tumor responses differently for molecular subtypes of breast cancer

(2012) YUJI HAYASHI et al.   Oncology Letters

N4ITK: Improved N3 Bias Correction

(2010) Nicholas J Tustison et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Ki67 Index, HER2 Status, and Prognosis of Patients With Luminal B Breast Cancer

(2009) Maggie C. U. Cheang et al.   JNCI-Journal of the National Cancer Institute

Triple-Negative Breast Cancer: Correlation between MR Imaging and Pathologic Findings

(2009) Takayoshi Uematsu et al.   RADIOLOGY

Breast Cancer Molecular Subtypes in Patients With Locally Advanced Disease: Impact on Prognosis, Patterns of Recurrence, and Response to Therapy

(2009) Kathryn E. Huber et al.   SEMINARS IN RADIATION ONCOLOGY