Related references
Note: Only part of the references are listed.Associations Between [18F]FDG-PET and Complex Histopathological Parameters Including Tumor Cell Count and Expression of KI 67, EGFR, VEGF, HIF-1, and p53 in Head and Neck Squamous Cell Carcinoma
Alexey Surov et al.
MOLECULAR IMAGING AND BIOLOGY (2019)
Associations Between PET Parameters and Expression of Ki-67 in Breast Cancer
Alexey Surov et al.
TRANSLATIONAL ONCOLOGY (2019)
Can Imaging Parameters Provide Information Regarding Histopathology in Head and Neck Squamous Cell Carcinoma? A Meta-Analysis
Alexey Surov et al.
TRANSLATIONAL ONCOLOGY (2018)
Using computer-extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage
Elizabeth S. Burnside et al.
CANCER (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 Assays
Hui Li et al.
RADIOLOGY (2016)
Radiomics: Images Are More than Pictures, They Are Data
Robert J. Gillies et al.
RADIOLOGY (2016)
The Potential of Radiomic-Based Phenotyping in PrecisionMedicine A Review
Hugo J. W. L. Aerts
JAMA ONCOLOGY (2016)
Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set
Hui Li et al.
NPJ BREAST CANCER (2016)
Immunohistochemical biomarkers and FDG uptake on PET/CT in head and neck squamous cell carcinoma
Gregers Brunnich Rasmussen et al.
ACTA ONCOLOGICA (2015)
Relevance of tumor-infiltrating lymphocytes in breast cancer
Sathana Dushyanthen et al.
BMC MEDICINE (2015)
Recurrence-free survival in breast cancer is associated with MRI tumor enhancement dynamics quantified using computer algorithms
Maciej A. Mazurowski et al.
EUROPEAN JOURNAL OF RADIOLOGY (2015)
Genomics of Brain Tumor Imaging
Whitney B. Pope
NEUROIMAGING CLINICS OF NORTH AMERICA (2015)
Deciphering Genomic Underpinnings of Quantitative MRI-based Radiomic Phenotypes of Invasive Breast Carcinoma
Yitan Zhu et al.
SCIENTIFIC REPORTS (2015)
Radiogenomics: What It Is and Why It Is Important
Maciej A. Mazurowski
JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY (2015)
HTSeq-a Python framework to work with high-throughput sequencing data
Simon Anders et al.
BIOINFORMATICS (2015)
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)
Trimmomatic: a flexible trimmer for Illumina sequence data
Anthony M. Bolger et al.
BIOINFORMATICS (2014)
Hypoxia, blood flow and metabolism in squamous-cell carcinoma of the head and neck: correlations between multiple immunohistochemical parameters and PET
Tove J. Gronroos et al.
BMC CANCER (2014)
Pilot study demonstrating potential association between breast cancer image-based risk phenotypes and genomic biomarkers
Hui Li et al.
MEDICAL PHYSICS (2014)
The Value of Tumor Infiltrating Lymphocytes (TILs) for Predicting Response to Neoadjuvant Chemotherapy in Breast Cancer: A Systematic Review and Meta-Analysis
Yan Mao et al.
PLOS ONE (2014)
Radiogenomic Analysis of Breast Cancer: Luminal B Molecular Subtype Is Associated with Enhancement Dynamics at MR Imaging
Maciej A. Mazurowski et al.
RADIOLOGY (2014)
Identification of Intrinsic Imaging Phenotypes for Breast Cancer Tumors: Preliminary Associations with Gene Expression Profiles
Ahmed Bilal Ashraf et al.
RADIOLOGY (2014)
NCI Workshop Report: Clinical and Computational Requirements for Correlating Imaging Phenotypes with Genomics Signatures
Rivka Colen et al.
TRANSLATIONAL ONCOLOGY (2014)
Fluorodeoxyglucose uptake in laryngeal carcinoma is associated with the expression of glucose transporter-1 and hypoxia-inducible-factor-1α and the phosphoinositide 3-kinase/protein kinase B pathway
Kui Zhao et al.
ONCOLOGY LETTERS (2014)
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
Hugo J. W. L. Aerts et al.
NATURE COMMUNICATIONS (2014)
STAR: ultrafast universal RNA-seq aligner
Alexander Dobin et al.
BIOINFORMATICS (2013)
Enriching the gene set analysis of genome-wide data by incorporating directionality of gene expression and combining statistical hypotheses and methods
Leif Varemo et al.
NUCLEIC ACIDS RESEARCH (2013)
Dynamic contrast-enhanced MRI in clinical trials of antivascular therapies
James P. B. O'Connor et al.
NATURE REVIEWS CLINICAL ONCOLOGY (2012)
KEGG for integration and interpretation of large-scale molecular data sets
Minoru Kanehisa et al.
NUCLEIC ACIDS RESEARCH (2012)
Molecular signatures database (MSigDB) 3.0
Arthur Liberzon et al.
BIOINFORMATICS (2011)
Computerized three-class classification of MRI-based prognostic markers for breast cancer
Neha Bhooshan et al.
PHYSICS IN MEDICINE AND BIOLOGY (2011)
Computerized Assessment of Breast Lesion Malignancy using DCE-MRI: Robustness Study on Two Independent Clinical Datasets from Two Manufacturers
Weijie Chen et al.
ACADEMIC RADIOLOGY (2010)
An introduction to functional and molecular imaging with MRI
F. A. Gallagher
CLINICAL RADIOLOGY (2010)
Cancerous Breast Lesions on Dynamic Contrast-enhanced MR Images: Computerized Characterization for Image-based Prognostic Markers
Neha Bhooshan et al.
RADIOLOGY (2010)
I-SPY 2: An Adaptive Breast Cancer Trial Design in the Setting of Neoadjuvant Chemotherapy
A. D. Barker et al.
CLINICAL PHARMACOLOGY & THERAPEUTICS (2009)
Triple-negative breast cancer: MRI features in 29 patients
J. -H. Chen et al.
ANNALS OF ONCOLOGY (2007)
MRI features of breast cancer: a correlation study with HER-2 receptor
G. Agrawal et al.
ANNALS OF ONCOLOGY (2007)
Volumetric texture analysis of breast lesions on contrast-enhanced magnetic resonance images
Weijie Chen et al.
MAGNETIC RESONANCE IN MEDICINE (2007)
Automatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRI
Weijie Chen et al.
MEDICAL PHYSICS (2006)
A fuzzy c-means (FCM)-based approach for computerized segmentation of breast lesions in dynamic contrast-enhanced MR images
WJ Chen et al.
ACADEMIC RADIOLOGY (2006)
Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
A Subramanian et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2005)
Computerized interpretation of breast MRI: Investigation of enhancement-variance dynamics
WJ Chen et al.
MEDICAL PHYSICS (2004)
Identification of necrosis-associated genes in glioblastoma by cDNA microarray analysis
SM Raza et al.
CLINICAL CANCER RESEARCH (2004)
MRI and fluorescence microscopy of the acute vascular response to VEGF165: vasodilation, hyper-permeability and lymphatic uptake, followed by rapid inactivation of the growth factor
H Dafni et al.
NMR IN BIOMEDICINE (2002)
Share Paper
