Classifying brain metastases by their primary site of origin using a radiomics approach based on texture analysis: a feasibility study

Histopathologic diagnosis of brain metastases: current trends in management and future considerations

(2016) Lien Bekaert et al.   Brain Tumor Pathology

Applications and limitations of radiomics

(2016) Stephen S F Yip et al.   PHYSICS IN MEDICINE AND BIOLOGY

Radiomics: Images Are More than Pictures, They Are Data

(2016) Robert J. Gillies et al.   RADIOLOGY

Support vector machine classification of brain metastasis and radiation necrosis based on texture analysis in MRI

(2015) Andrés Larroza et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Differentiating brain metastases from different pathological types of lung cancers using texture analysis of T1 postcontrast MR

(2015) Zhenjiang Li et al.   MAGNETIC RESONANCE IN MEDICINE

NIMG-24HIGH SPATIOTEMPORAL DYNAMIC SUSCEPTIBILITY CONTRAST (DSC) PERFUSION MRI USING MULTIBAND ECHOPLANAR IMAGING (MB-EPI)

(2015) Benjamin Ellingson et al.   NEURO-ONCOLOGY

Three-dimensional textural features of conventional MRI improve diagnostic classification of childhood brain tumours

(2015) Ahmed E. Fetit et al.   NMR IN BIOMEDICINE

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

Building Predictive Models inRUsing thecaretPackage

(2015) Max Kuhn   Journal of Statistical Software

Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities

(2013) Adrien Depeursinge et al.   MEDICAL IMAGE ANALYSIS

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

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

Texture analysis in assessment and prediction of chemotherapy response in breast cancer

(2012) Arfan Ahmed et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Radiomics: the process and the challenges

(2012) Virendra Kumar et al.   MAGNETIC RESONANCE IMAGING

The influence of field strength and different clinical breast MRI protocols on the outcome of texture analysis using foam phantoms

(2011) Shelley A. Waugh et al.   MEDICAL PHYSICS

Epidemiology of Brain Metastases

(2011) Lakshmi Nayak et al.   Current Oncology Reports

Texture Analysis: A Review of Neurologic MR Imaging Applications

(2010) A. Kassner et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

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

Enhancing the discrimination accuracy between metastases, gliomas and meningiomas on brain MRI by volumetric textural features and ensemble pattern recognition methods

(2008) Pantelis Georgiadis et al.   MAGNETIC RESONANCE IMAGING

The impact of image dynamic range on texture classification of brain white matter

(2008) Doaa Mahmoud-Ghoneim et al.   BMC MEDICAL IMAGING