Deep learning for segmentation of brain tumors: Impact of cross-institutional training and testing

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

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

Algorithmic three-dimensional analysis of tumor shape in MRI improves prognosis of survival in glioblastoma: a multi-institutional study

(2017) Nicholas Czarnek et al.   JOURNAL OF NEURO-ONCOLOGY

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

(2017) Konstantinos Kamnitsas et al.   MEDICAL IMAGE ANALYSIS

Brain tumor segmentation with Deep Neural Networks

(2017) Mohammad Havaei et al.   MEDICAL IMAGE ANALYSIS

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

Deep learning

(2015) Yann LeCun et al.   NATURE

Radiogenomics: What It Is and Why It Is Important

(2015) Maciej A. Mazurowski   Journal of the American College of Radiology

A fully automatic extraction of magnetic resonance image features in glioblastoma patients

(2014) Jing Zhang et al.   MEDICAL PHYSICS

State of the art survey on MRI brain tumor segmentation

(2013) Nelly Gordillo et al.   MAGNETIC RESONANCE IMAGING

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

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

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

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

Non–Small Cell Lung Cancer: Identifying Prognostic Imaging Biomarkers by Leveraging Public Gene Expression Microarray Data—Methods and Preliminary Results

(2012) Olivier Gevaert et al.   RADIOLOGY

N4ITK: Improved N3 Bias Correction

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

Accurate and robust brain image alignment using boundary-based registration

(2009) Douglas N. Greve et al.   NEUROIMAGE