Glioma Grading Using a Machine‐Learning Framework Based on Optimized Features Obtained From T 1 Perfusion MRI and Volumes of Tumor Components

On Differentiation between Vasogenic Edema and Non-Enhancing Tumor in High-Grade Glioma Patients using Support Vector Machine Classifier based upon Pre and Post Surgery MRI Images

(2018) Anirban Sengupta et al.   EUROPEAN JOURNAL OF RADIOLOGY

Differentiation of grade II/III and grade IV glioma by combining “T1 contrast-enhanced brain perfusion imaging” and susceptibility-weighted quantitative imaging

(2017) Jitender Saini et al.   NEURORADIOLOGY

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

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

Multiparametric MRI-based differentiation of WHO grade II/III glioma and WHO grade IV glioblastoma

(2016) Benedikt Wiestler et al.   Scientific Reports

Differentiation between vasogenic-edema versus tumor-infiltrative area in patients with glioblastoma during bevacizumab therapy: A longitudinal MRI study

(2014) Moran Artzi et al.   EUROPEAN JOURNAL OF RADIOLOGY

Discrimination between glioma grades II and III in suspected low-grade gliomas using dynamic contrast-enhanced and dynamic susceptibility contrast perfusion MR imaging: a histogram analysis approach

(2014) Anna Falk et al.   NEURORADIOLOGY

Glioma: Application of Whole-Tumor Texture Analysis of Diffusion-Weighted Imaging for the Evaluation of Tumor Heterogeneity

(2014) Young Jin Ryu et al.   PLoS One

Subcompartmentalization of extracellular extravascular space (EES) into permeability and leaky space with local arterial input function (AIF) results in improved discrimination between high- and low-grade glioma using dynamic contrast-enhanced (DCE) MRI

(2013) Prativa Sahoo et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Utility of multiparametric 3-T MRI for glioma characterization

(2013) Bhaswati Roy et al.   NEURORADIOLOGY

Radiation Therapy for the Treatment of Recurrent Glioblastoma: An Overview

(2012) Dante Amelio et al.   Cancers

The Added Value of Apparent Diffusion Coefficient to Cerebral Blood Volume in the Preoperative Grading of Diffuse Gliomas

(2011) A. Hilario et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Feature Selection for Classification of Hyperspectral Data by SVM

(2010) Mahesh Pal et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme

(2009) Evangelia I. Zacharaki et al.   MAGNETIC RESONANCE IN MEDICINE

Preoperative Grading of Presumptive Low-Grade Astrocytomas on MR Imaging: Diagnostic Value of Minimum Apparent Diffusion Coefficient

(2008) E.J. Lee et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Improved bolus arrival time and arterial input function estimation for tracer kinetic analysis in DCE-MRI

(2008) Anup Singh et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING