Automated glioma grading on conventional MRI images using deep convolutional neural networks

Machine Learning Models for Multiparametric Glioma Grading With Quantitative Result Interpretations

(2019) Xiuying Wang et al.   Frontiers in Neuroscience

MRI based medical image analysis: Survey on brain tumor grade classification

(2018) Geethu Mohan et al.   Biomedical Signal Processing and Control

NiftyNet: a deep-learning platform for medical imaging

(2018) Eli Gibson et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images

(2018) Hao Chen et al.   NEUROIMAGE

Glioma Grading on Conventional MR Images: A Deep Learning Study With Transfer Learning

(2018) Yang Yang et al.   Frontiers in Neuroscience

Predicting Deletion of Chromosomal Arms 1p/19q in Low-Grade Gliomas from MR Images Using Machine Intelligence

(2017) Zeynettin Akkus et al.   JOURNAL OF DIGITAL IMAGING

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

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

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

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

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

The epidemiology of glioma in adults: a "state of the science" review

(2014) Q. T. Ostrom et al.   NEURO-ONCOLOGY

Data-driven Grading of Brain Gliomas: A Multiparametric MR Imaging Study

(2014) Massimo Caulo et al.   RADIOLOGY

Voxel-based clustered imaging by multiparameter diffusion tensor images for glioma grading

(2014) Rika Inano et al.   NeuroImage-Clinical

A survey of MRI-based medical image analysis for brain tumor studies

(2013) Stefan Bauer et al.   PHYSICS IN MEDICINE AND BIOLOGY

Survival Analysis of Patients with High-Grade Gliomas Based on Data Mining of Imaging Variables

(2012) E.I. Zacharaki et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

A dual neural network ensemble approach for multiclass brain tumor classification

(2012) Jainy Sachdeva et al.   International Journal for Numerical Methods in Biomedical Engineering

Multiparametric magnetic resonance imaging to differentiate high-grade gliomas and brain metastases

(2011) Nathalie Mouthuy et al.   JOURNAL OF NEURORADIOLOGY

N4ITK: Improved N3 Bias Correction

(2010) Nicholas J Tustison et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Intensity standardization simplifies brain MR image segmentation

(2009) Ying Zhuge et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

RETRACTED ARTICLE: Glioma grading: sensitivity, specificity, positive and negative predictive values of diffusion and perfusion imaging

(2009) H. R. Arvinda et al.   JOURNAL OF NEURO-ONCOLOGY

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

Predictive modeling in glioma grading from MR perfusion images using support vector machines

(2008) Kyrre E. Emblem et al.   MAGNETIC RESONANCE IN MEDICINE