4.6 Article

Radiogenomics analysis identifies correlations of digital mammography with clinical molecular signatures in breast cancer

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Large scale deep learning for computer aided detection of mammographic lesions

Thijs Kooi et al.

MEDICAL IMAGE ANALYSIS (2017)

Article Biochemical Research Methods

Genefu: an R/Bioconductor package for computation of gene expression-based signatures in breast cancer

Deena M. A. Gendoo et al.

BIOINFORMATICS (2016)

Article Radiology, Nuclear Medicine & Medical Imaging

How Can Advanced Imaging Be Used to Mitigate Potential Breast Cancer Overdiagnosis?

Habib Rahbar et al.

ACADEMIC RADIOLOGY (2016)

Article Multidisciplinary Sciences

A half-second glimpse often lets radiologists identify breast cancer cases even when viewing the mammogram of the opposite breast

Karla K. Evans et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2016)

Article Radiology, Nuclear Medicine & Medical Imaging

Radiomics: Images Are More than Pictures, They Are Data

Robert J. Gillies et al.

RADIOLOGY (2016)

Article Biology

Breast cancer diagnosis in digitized mammograms using curvelet moments

Sami Dhahbi et al.

COMPUTERS IN BIOLOGY AND MEDICINE (2015)

Meeting Abstract Radiology, Nuclear Medicine & Medical Imaging

Radiomics Investigation in the Distinction Between in Situ and Invasive Breast Cancers

K. Drukker et al.

MEDICAL PHYSICS (2015)

Meeting Abstract Radiology, Nuclear Medicine & Medical Imaging

Radiomics and Radiogenomics for Breast Cancer Using Magnetic Resonance Imaging

J. Oh et al.

MEDICAL PHYSICS (2015)

Article Biotechnology & Applied Microbiology

Bilateral Image Subtraction and Multivariate Models for the Automated Triaging of Screening Mammograms

Jose Celaya-Padilla et al.

BIOMED RESEARCH INTERNATIONAL (2015)

Article Radiology, Nuclear Medicine & Medical Imaging

Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data

Wentian Guo et al.

JOURNAL OF MEDICAL IMAGING (2015)

Article Radiology, Nuclear Medicine & Medical Imaging

Parenchymal texture analysis in digital mammography: robust texture feature identification and equivalence across devices

Brad M. Keller et al.

JOURNAL OF MEDICAL IMAGING (2015)

Article Biology

A new feature extraction framework based on wavelets for breast cancer diagnosis

Semih Ergin et al.

COMPUTERS IN BIOLOGY AND MEDICINE (2014)

Article Radiology, Nuclear Medicine & Medical Imaging

Molecular Classification of Infiltrating Breast Cancer: Toward Personalized Therapy

Isabelle Trop et al.

RADIOGRAPHICS (2014)

Editorial Material Radiology, Nuclear Medicine & Medical Imaging

Behind the Numbers: Decoding Molecular Phenotypes with Radiogenomics-Guiding Principles and Technical Considerations

Michael D. Kuo et al.

RADIOLOGY (2014)

Article Radiology, Nuclear Medicine & Medical Imaging

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

Ahmed Bilal Ashraf et al.

RADIOLOGY (2014)

Article Radiology, Nuclear Medicine & Medical Imaging

Radiogenomics of Clear Cell Renal Cell Carcinoma: Associations between CT Imaging Features and Mutations

Christoph A. Karlo et al.

RADIOLOGY (2014)

Article Oncology

The Application of Oncotype DX in Early-Stage Lymph-Node-Positive Disease

Sarika Jain et al.

CURRENT ONCOLOGY REPORTS (2014)

Article Multidisciplinary Sciences

Breast tumor subgroups reveal diverse clinical prognostic power

Zhaoqi Liu et al.

SCIENTIFIC REPORTS (2014)

Article Computer Science, Interdisciplinary Applications

A Multichannel Markov Random Field Framework for Tumor Segmentation With an Application to Classification of Gene Expression-Based Breast Cancer Recurrence Risk

Ahmed B. Ashraf et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2013)

Review Multidisciplinary Sciences

The causes and consequences of genetic heterogeneity in cancer evolution

Rebecca A. Burrell et al.

NATURE (2013)

Article Radiology, Nuclear Medicine & Medical Imaging

Automatic detection of anomalies in screening mammograms

Edward J. Kendall et al.

BMC MEDICAL IMAGING (2013)

Article Radiology, Nuclear Medicine & Medical Imaging

Correlation between imaging and molecular classification of breast cancers

M. Boisserie-Lacroix et al.

Diagnostic and Interventional Imaging (2013)

Article Radiology, Nuclear Medicine & Medical Imaging

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

Shota Yamamoto et al.

AMERICAN JOURNAL OF ROENTGENOLOGY (2012)

Article Oncology

Radiomics: Extracting more information from medical images using advanced feature analysis

Philippe Lambin et al.

EUROPEAN JOURNAL OF CANCER (2012)

Article Oncology

A Three-Gene Model to Robustly Identify Breast Cancer Molecular Subtypes

Benjamin Haibe-Kains et al.

JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE (2012)

Article Radiology, Nuclear Medicine & Medical Imaging

Radiomics: the process and the challenges

Virendra Kumar et al.

MAGNETIC RESONANCE IMAGING (2012)

Review Medicine, Research & Experimental

Heterogeneity in breast cancer

Kornelia Polyak

JOURNAL OF CLINICAL INVESTIGATION (2011)

Article Biochemical Research Methods

Most Random Gene Expression Signatures Are Significantly Associated with Breast Cancer Outcome

David Venet et al.

PLOS COMPUTATIONAL BIOLOGY (2011)

Article Computer Science, Interdisciplinary Applications

Regularization Paths for Generalized Linear Models via Coordinate Descent

Jerome Friedman et al.

JOURNAL OF STATISTICAL SOFTWARE (2010)

Article Radiology, Nuclear Medicine & Medical Imaging

Radiogenomics: Creating a link between molecular diagnostics and diagnostic imaging

Aaron M. Rutman et al.

EUROPEAN JOURNAL OF RADIOLOGY (2009)

Article Oncology

Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes

Joel S. Parker et al.

JOURNAL OF CLINICAL ONCOLOGY (2009)

Letter Oncology

Are triple-negative tumours and basal-like breast cancer synonymous?

Emad A. Rakha et al.

BREAST CANCER RESEARCH (2007)

Review Computer Science, Artificial Intelligence

Approaches for automated detection and classification of masses in mammograms

HD Cheng et al.

PATTERN RECOGNITION (2006)

Article Medicine, General & Internal

A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer

S Paik et al.

NEW ENGLAND JOURNAL OF MEDICINE (2004)

Article Multidisciplinary Sciences

Gene expression profiling predicts clinical outcome of breast cancer

LJ van't Veer et al.

NATURE (2002)

Article Oncology

Validation of the Gail et al. model of breast cancer risk prediction and implications for chemoprevention

B Rockhill et al.

JOURNAL OF THE NATIONAL CANCER INSTITUTE (2001)