Texture analysis as a radiomic marker for differentiating renal tumors

Diagnostic performance of texture analysis on MRI in grading cerebral gliomas

(2016) Karoline Skogen et al.   EUROPEAN JOURNAL OF RADIOLOGY

Using Texture Analysis to Determine Human Papillomavirus Status of Oropharyngeal Squamous Cell Carcinomas on CT

(2015) K. Buch et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Diagnosis of Sarcomatoid Renal Cell Carcinoma With CT: Evaluation by Qualitative Imaging Features and Texture Analysis

(2015) Nicola Schieda et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Texture analysis on MR images helps predicting non-response to NAC in breast cancer

(2015) N. Michoux et al.   BMC CANCER

Magnetic Resonance Imaging as a Biomarker for Renal Cell Carcinoma

(2015) Yan Wu et al.   DISEASE MARKERS

Understanding Pathologic Variants of Renal Cell Carcinoma: Distilling Therapeutic Opportunities from Biologic Complexity

(2015) Brian Shuch et al.   EUROPEAN UROLOGY

Utility of texture analysis for quantifying hepatic fibrosis on proton density MRI

(2015) HeiShun Yu et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Can Quantitative CT Texture Analysis be Used to Differentiate Fat-poor Renal Angiomyolipoma from Renal Cell Carcinoma on Unenhanced CT Images?

(2015) Taryn Hodgdon et al.   RADIOLOGY

CT Texture Analysis of Renal Masses

(2014) Siva P. Raman et al.   ACADEMIC RADIOLOGY

Liver fibrosis staging using CT image texture analysis and soft computing

(2014) Ömer Kayaaltı et al.   APPLIED SOFT COMPUTING

Quantifying liver fibrosis through the application of texture analysis to diffusion weighted imaging

(2013) Brian Barry et al.   MAGNETIC RESONANCE IMAGING

Clear Cell Renal Cell Carcinoma: Discrimination from Other Renal Cell Carcinoma Subtypes and Oncocytoma at Multiphasic Multidetector CT

(2013) Jonathan R. Young et al.   RADIOLOGY

Radiogenomics of Clear Cell Renal Cell Carcinoma: Associations between CT Imaging Features and Mutations

(2013) Christoph A. Karlo et al.   RADIOLOGY

Sarcomatoid Renal Cell Carcinoma: A Comprehensive Review of the Biology and Current Treatment Strategies

(2012) B. Shuch et al.   ONCOLOGIST

Imaging techniques as predictive and prognostic biomarkers in renal cell carcinoma

(2012) Paul Nathan et al.   Therapeutic Advances in Medical Oncology

Effect of disease progression on liver apparent diffusion coefficient and T2 values in a murine model of hepatic fibrosis at 11.7 Tesla MRI

(2011) Stephan W. Anderson et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Texture analysis of cartilage T2 maps: individuals with risk factors for OA have higher and more heterogeneous knee cartilage MR T2 compared to normal controls - data from the osteoarthritis initiative

(2011) Gabby B Joseph et al.   ARTHRITIS RESEARCH & THERAPY

Machine Learning in Medical Imaging

(2010) Miles Wernick et al.   IEEE SIGNAL PROCESSING MAGAZINE

Machine learning study of several classifiers trained with texture analysis features to differentiate benign from malignant soft-tissue tumors in T1-MRI images

(2010) Jaber Juntu et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Targeted therapies for non-clear renal cell carcinoma

(2010) Eric A. Singer et al.   Targeted Oncology

Renal Cell Carcinoma: Dynamic Contrast-enhanced MR Imaging for Differentiation of Tumor Subtypes—Correlation with Pathologic Findings

(2009) Maryellen R. M. Sun et al.   RADIOLOGY

Incidence of benign lesions according to tumor size in solid renal masses

(2009) Victor Srougi et al.   International Braz J Urol