4.6 Article

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

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Radiology, Nuclear Medicine & Medical Imaging

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

Yiming Li et al.

EUROPEAN RADIOLOGY (2018)

Article Radiology, Nuclear Medicine & Medical Imaging

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

Yi-bin Xi et al.

JOURNAL OF MAGNETIC RESONANCE IMAGING (2018)

Article Biochemical Research Methods

Diabetes classification model based on boosting algorithms

Peihua Chen et al.

BMC BIOINFORMATICS (2018)

Article Radiology, Nuclear Medicine & Medical Imaging

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

Xi Zhang et al.

JOURNAL OF MAGNETIC RESONANCE IMAGING (2018)

Article Radiology, Nuclear Medicine & Medical Imaging

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

Jinhua Yu et al.

EUROPEAN RADIOLOGY (2017)

Review Oncology

Radiomics: the bridge between medical imaging and personalized medicine

Philippe Lambin et al.

NATURE REVIEWS CLINICAL ONCOLOGY (2017)

Article Oncology

Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer

Emmanuel Rios Velazquez et al.

CANCER RESEARCH (2017)

Article Medicine, General & Internal

Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas

Daniel J. Brat et al.

NEW ENGLAND JOURNAL OF MEDICINE (2015)

Article Multidisciplinary Sciences

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

Duc Fehr et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2015)

Review Oncology

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

James P. B. O'Connor et al.

CLINICAL CANCER RESEARCH (2015)

Article Multidisciplinary Sciences

Machine Learning methods for Quantitative Radiomic Biomarkers

Chintan Parmar et al.

SCIENTIFIC REPORTS (2015)

Article Multidisciplinary Sciences

Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation

Chintan Parmar et al.

PLOS ONE (2014)

Article Multidisciplinary Sciences

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

Hugo J. W. L. Aerts et al.

NATURE COMMUNICATIONS (2014)

Article Biochemical Research Methods

mRMRe: an R package for parallelized mRMR ensemble feature selection

Nicolas De Jay et al.

BIOINFORMATICS (2013)

Article Radiology, Nuclear Medicine & Medical Imaging

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

Kenneth Clark et al.

JOURNAL OF DIGITAL IMAGING (2013)

Article Oncology

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

Philippe Lambin et al.

EUROPEAN JOURNAL OF CANCER (2012)

Article Biochemical Research Methods

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

Xavier Robin et al.

BMC BIOINFORMATICS (2011)

Article Genetics & Heredity

Optimally splitting cases for training and testing high dimensional classifiers

Kevin K. Dobbin et al.

BMC MEDICAL GENOMICS (2011)

Article Medicine, General & Internal

IDH1 and IDH2 Mutations in Gliomas

Hai Yan et al.

NEW ENGLAND JOURNAL OF MEDICINE (2009)

Article Computer Science, Interdisciplinary Applications

Building Predictive Models in R Using the caret Package

Max Kuhn

JOURNAL OF STATISTICAL SOFTWARE (2008)

Article Multidisciplinary Sciences

An integrated genomic analysis of human glioblastoma Multiforme

D. Williams Parsons et al.

SCIENCE (2008)

Review Radiology, Nuclear Medicine & Medical Imaging

Texture analysis of medical images

G Castellano et al.

CLINICAL RADIOLOGY (2004)