Radiomics-based machine learning methods for isocitrate dehydrogenase genotype prediction of diffuse gliomas

Diabetes classification model based on boosting algorithms

(2018) Peihua Chen et al.   BMC BIOINFORMATICS

Radiomics Strategy for Molecular Subtype Stratification of Lower-Grade Glioma: Detecting IDH and TP53 Mutations Based on Multimodal MRI

(2018) Xi Zhang et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

MRI features can predict EGFR expression in lower grade gliomas: A voxel-based radiomic analysis

(2017) Yiming Li et al.   EUROPEAN RADIOLOGY

Radiomics signature: A potential biomarker for the prediction of MGMT promoter methylation in glioblastoma

(2017) Yi-bin Xi et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Radiomics: the bridge between medical imaging and personalized medicine

(2017) Philippe Lambin et al.   Nature Reviews Clinical Oncology

Highly specific determination of IDH status using edited in vivo magnetic resonance spectroscopy

(2017) Francesca Branzoli et al.   NEURO-ONCOLOGY

CBTRUS Statistical Report: Primary brain and other central nervous system tumors diagnosed in the United States in 2010–2014

(2017) Quinn T Ostrom et al.   NEURO-ONCOLOGY

Tumor image-derived texture features are associated with CD3 T-cell infiltration status in glioblastoma

(2017) Shivali Narang et al.   Oncotarget

Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features

(2017) Spyridon Bakas et al.   Scientific Data

The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary

(2016) David N. Louis et al.   ACTA NEUROPATHOLOGICA

Molecular Profiling Reveals Biologically Discrete Subsets and Pathways of Progression in Diffuse Glioma

(2016) Michele Ceccarelli et al.   CELL

Rectal Cancer: Assessment of Neoadjuvant Chemoradiation Outcome based on Radiomics of Multiparametric MRI

(2016) K. Nie et al.   CLINICAL CANCER RESEARCH

Noninvasive IDH1 mutation estimation based on a quantitative radiomics approach for grade II glioma

(2016) Jinhua Yu et al.   EUROPEAN RADIOLOGY

Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer

(2016) Yan-qi Huang et al.   JOURNAL OF CLINICAL ONCOLOGY

Prospective Longitudinal Analysis of 2-Hydroxyglutarate Magnetic Resonance Spectroscopy Identifies Broad Clinical Utility for the Management of Patients With IDH-Mutant Glioma

(2016) Changho Choi et al.   JOURNAL OF CLINICAL ONCOLOGY

NIMG-20. IMAGING PATTERN ANALYSIS REVEALS THREE DISTINCT PHENOTYPIC SUBTYPES OF GBM WITH DIFFERENT SURVIVAL RATES

(2016) Saima Rathore et al.   NEURO-ONCOLOGY

Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas

(2016) Biqi Zhang et al.   NEURO-ONCOLOGY

Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non—Small Cell Lung Cancer

(2016) Yanqi Huang et al.   RADIOLOGY

Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques

(2015) Luke Macyszyn et al.   NEURO-ONCOLOGY

Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas

(2015)   NEW ENGLAND JOURNAL OF MEDICINE

Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images

(2015) Duc Fehr et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer

(2015) Chintan Parmar et al.   Frontiers in Oncology

Building Predictive Models inRUsing thecaretPackage

(2015) Max Kuhn   Journal of Statistical Software

Machine Learning methods for Quantitative Radiomic Biomarkers

(2015) Chintan Parmar et al.   Scientific Reports

Imaging Intratumor Heterogeneity: Role in Therapy Response, Resistance, and Clinical Outcome

(2014) J. P. B. O'Connor et al.   CLINICAL CANCER RESEARCH

Evaluation of the microenvironmental heterogeneity in high-grade gliomas with IDH1/2 gene mutation using histogram analysis of diffusion-weighted imaging and dynamic-susceptibility contrast perfusion imaging

(2014) Seunghyun Lee et al.   JOURNAL OF NEURO-ONCOLOGY

Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation

(2014) Chintan Parmar et al.   PLoS One

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

(2014) Hugo J. W. L. Aerts et al.   Nature Communications

mRMRe: an R package for parallelized mRMR ensemble feature selection

(2013) Nicolas De Jay et al.   BIOINFORMATICS

The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository

(2013) Kenneth Clark et al.   JOURNAL OF DIGITAL IMAGING

Relationship between Tumor Enhancement, Edema,IDH1Mutational Status,MGMTPromoter Methylation, and Survival in Glioblastoma

(2012) J.A. Carrillo et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

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

(2012) Philippe Lambin et al.   EUROPEAN JOURNAL OF CANCER

pROC: an open-source package for R and S+ to analyze and compare ROC curves

(2011) Xavier Robin et al.   BMC BIOINFORMATICS

Optimally splitting cases for training and testing high dimensional classifiers

(2011) Kevin K Dobbin et al.   BMC Medical Genomics

Patients with IDH1 wild type anaplastic astrocytomas exhibit worse prognosis than IDH1-mutated glioblastomas, and IDH1 mutation status accounts for the unfavorable prognostic effect of higher age: implications for classification of gliomas

(2010) Christian Hartmann et al.   ACTA NEUROPATHOLOGICA

IDH1andIDH2Mutations in Gliomas

(2009) Hai Yan et al.   NEW ENGLAND JOURNAL OF MEDICINE

An Integrated Genomic Analysis of Human Glioblastoma Multiforme

(2008) D. W. Parsons et al.   SCIENCE