Computer-Extracted Texture Features to Distinguish Cerebral Radionecrosis from Recurrent Brain Tumors on Multiparametric MRI: A Feasibility Study

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

Evaluation of tumor-derived MRI-texture features for discrimination of molecular subtypes and prediction of 12-month survival status in glioblastoma

(2015) Dalu Yang et al.   MEDICAL PHYSICS

Multi-Modal Glioblastoma Segmentation: Man versus Machine

(2014) Nicole Porz et al.   PLoS One

Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model

(2014) Maxine Tan et al.   International Journal of Computer Assisted Radiology and Surgery

Radionecrosis of malignant glioma and cerebral metastasis: A diagnostic challenge in MRI

(2014) A. Raimbault et al.   Diagnostic and Interventional Imaging

MRI patterns of T1 enhancing radiation necrosis versus tumour recurrence in high-grade gliomas

(2013) Krishna Reddy et al.   Journal of Medical Imaging and Radiation Oncology

Differentiating tumor recurrence from treatment necrosis: a review of neuro-oncologic imaging strategies

(2013) Nishant Verma et al.   NEURO-ONCOLOGY

SVM-RFE With MRMR Filter for Gene Selection

(2009) P.A. Mundra et al.   IEEE TRANSACTIONS ON NANOBIOSCIENCE

Recurrent Glioblastoma Multiforme: ADC Histogram Analysis Predicts Response to Bevacizumab Treatment

(2009) Whitney B. Pope et al.   RADIOLOGY