Three-dimensional texture features from intensity and high-order derivative maps for the discrimination between bladder tumors and wall tissues via MRI

Improved individualized prediction of schizophrenia in subjects at familial high risk, based on neuroanatomical data, schizotypal and neurocognitive features

(2017) Eleni Zarogianni et al.   SCHIZOPHRENIA RESEARCH

Texture Feature Extraction and Analysis for Polyp Differentiation via Computed Tomography Colonography

(2016) Yifan Hu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Unbiased Prediction and Feature Selection in High-Dimensional Survival Regression

(2016) Michael Laimighofer et al.   JOURNAL OF COMPUTATIONAL BIOLOGY

In silico identification of enhancers on the basis of a combination of transcription factor binding motif occurrences

(2016) Yaping Fang et al.   Scientific Reports

Ensemble Feature Learning of Genomic Data Using Support Vector Machine

(2016) Ali Anaissi et al.   PLoS One

Global cancer statistics, 2012

(2015) Lindsey A. Torre et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Multi-scale textural feature extraction and particle swarm optimization based model selection for false positive reduction in mammography

(2015) Imad Zyout et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Quantitative Analysis of Bladder Wall Thickness for Magnetic Resonance Cystoscopy

(2015) Xi Zhang et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

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

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

Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images

(2015) Duc Fehr et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

3D detection and extraction of bladder tumors via MR virtual cystoscopy

(2015) Dan Xiao et al.   International Journal of Computer Assisted Radiology and Surgery

Feature extraction and pattern classification of colorectal polyps in colonoscopic imaging

(2014) Jachih J.C. Fu et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Quantitative CT texture and shape analysis: Can it differentiate benign and malignant mediastinal lymph nodes in patients with primary lung cancer?

(2014) Hamid Bayanati et al.   EUROPEAN RADIOLOGY

Texture Feature Analysis for Computer-Aided Diagnosis on Pulmonary Nodules

(2014) Fangfang Han et al.   JOURNAL OF DIGITAL IMAGING

Classification and localization of early-stage Alzheimer’s disease in magnetic resonance images using a patch-based classifier ensemble

(2014) Rita Simões et al.   NEURORADIOLOGY

Volumetric texture features from higher-order images for diagnosis of colon lesions via CT colonography

(2014) Bowen Song et al.   International Journal of Computer Assisted Radiology and Surgery

Characterization of Texture Features of Bladder Carcinoma and the Bladder Wall on MRI

(2013) Zhengxing Shi et al.   ACADEMIC RADIOLOGY

Bladder wall thickness mapping for magnetic resonance cystography

(2013) Yang Zhao et al.   PHYSICS IN MEDICINE AND BIOLOGY

Assessment of Primary Colorectal Cancer Heterogeneity by Using Whole-Tumor Texture Analysis: Contrast-enhanced CT Texture as a Biomarker of 5-year Survival

(2012) Francesca Ng et al.   RADIOLOGY

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

Characterisation of radiotherapy planning volumes using textural analysis

(2008) William H. Nailon et al.   ACTA ONCOLOGICA

Texture analysis in non-contrast enhanced CT: Impact of malignancy on texture in apparently disease-free areas of the liver

(2008) Balaji Ganeshan et al.   EUROPEAN JOURNAL OF RADIOLOGY