Deep Learning based Radiomics (DLR) and its usage in noninvasive IDH1 prediction for low grade glioma

Brain tumor segmentation with Deep Neural Networks

(2017) Mohammad Havaei et al.   MEDICAL IMAGE ANALYSIS

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

(2016) Jinhua Yu et al.   EUROPEAN RADIOLOGY

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

(2016) Sergio Pereira et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A therapeutic cancer vaccine against GL261 murine glioma

(2016) Mark S. Kindy et al.   Journal of Translational Medicine

2016 World Health Organization Classification of Central Nervous System Tumors: An Era of Molecular Biology

(2016) Reid Hoshide et al.   World Neurosurgery

MR Imaging–Based Analysis of Glioblastoma Multiforme: Estimation ofIDH1Mutation Status

(2015) K. Yamashita et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Définition et applications cliniques des radiomics

(2015) C. Bourgier et al.   Cancer Radiotherapie

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

(2015) Bjoern H. Menze et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep learning

(2015) Yann LeCun et al.   NATURE

Integration of 2-hydroxyglutarate-proton magnetic resonance spectroscopy into clinical practice for disease monitoring in isocitrate dehydrogenase-mutant glioma

(2015) Macarena I. de la Fuente et al.   NEURO-ONCOLOGY

Radiological features combined withIDH1status for predicting the survival outcome of glioblastoma patients

(2015) Kai Wang et al.   NEURO-ONCOLOGY

Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas

(2015)   NEW ENGLAND JOURNAL OF MEDICINE

Diagnostic Value of Plasma and Urinary 2-Hydroxyglutarate to Identify Patients With Isocitrate Dehydrogenase-Mutated Glioma

(2015) G. Lombardi et al.   ONCOLOGIST

Texture features on T2-weighted magnetic resonance imaging: new potential biomarkers for prostate cancer aggressiveness

(2015) A Vignati et al.   PHYSICS IN MEDICINE AND BIOLOGY

A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities

(2015) M Vallières et al.   PHYSICS IN MEDICINE AND BIOLOGY

TERT promoter mutations contribute to subset prognostication of lower-grade gliomas

(2014) Aden Ka-Yin Chan et al.   MODERN PATHOLOGY

Glioblastoma Multiforme: Exploratory Radiogenomic Analysis by Using Quantitative Image Features

(2014) Olivier Gevaert et al.   RADIOLOGY

MR Imaging Predictors of Molecular Profile and Survival: Multi-institutional Study of the TCGA Glioblastoma Data Set

(2013) David A. Gutman et al.   RADIOLOGY

Radiomics: the process and the challenges

(2012) Virendra Kumar et al.   MAGNETIC RESONANCE IMAGING

Detection of 2-Hydroxyglutarate in IDH-Mutated Glioma Patients by In Vivo Spectral-Editing and 2D Correlation Magnetic Resonance Spectroscopy

(2012) O. C. Andronesi et al.   Science Translational Medicine

Cancer-associated IDH mutations: biomarker and therapeutic opportunities

(2010) K E Yen et al.   ONCOGENE

Combination of feature selection approaches with SVM in credit scoring

(2009) Fei-Long Chen et al.   EXPERT SYSTEMS WITH APPLICATIONS

IDH1andIDH2Mutations in Gliomas

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

Glioma-Derived Mutations in IDH1 Dominantly Inhibit IDH1 Catalytic Activity and Induce HIF-1 

(2009) S. Zhao et al.   SCIENCE