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

Texture analysis ofT1- andT2-weighted MR images and use of probabilistic neural network to discriminate posterior fossa tumours in children

(2014) Eleni Orphanidou-Vlachou et al.   NMR IN BIOMEDICINE

Metrics and Textural Features of MRI Diffusion to Improve Classification of Pediatric Posterior Fossa Tumors

(2013) D. Rodriguez Gutierrez et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Accurate classification of childhood brain tumours by in vivo 1H MRS – A multi-centre study

(2012) Javier Vicente et al.   EUROPEAN JOURNAL OF CANCER

A software tool for automatic classification and segmentation of 2D/3D medical images

(2012) Michal Strzelecki et al.   NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT

Texture Analysis: A Review of Neurologic MR Imaging Applications

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

iPCA: An Interactive System for PCA-based Visual Analytics

(2009) Dong Hyun Jeong et al.   COMPUTER GRAPHICS FORUM

The value of magnetic resonance spectroscopy in tumour imaging

(2008) A. C Peet et al.   ARCHIVES OF DISEASE IN CHILDHOOD

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