4.6 Article

Assessing Agreement between Radiomic Features Computed for Multiple CT Imaging Settings

Related references

Note: Only part of the references are listed.
Article Multidisciplinary Sciences

Reproducibility of radiomics for deciphering tumor phenotype with imaging

Binsheng Zhao et al.

SCIENTIFIC REPORTS (2016)

Article Radiology, Nuclear Medicine & Medical Imaging

Measuring Computed Tomography Scanner Variability of Radiomics Features

Dennis Mackin et al.

INVESTIGATIVE RADIOLOGY (2015)

Article Multidisciplinary Sciences

Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer

Chintan Parmar et al.

SCIENTIFIC REPORTS (2015)

Article Radiology, Nuclear Medicine & Medical Imaging

Test-Retest Reproducibility Analysis of Lung CT Image Features

Yoganand Balagurunathan et al.

JOURNAL OF DIGITAL IMAGING (2014)

Article Multidisciplinary Sciences

Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation

Chintan Parmar et al.

PLOS ONE (2014)

Editorial Material Radiology, Nuclear Medicine & Medical Imaging

Behind the Numbers: Decoding Molecular Phenotypes with Radiogenomics-Guiding Principles and Technical Considerations

Michael D. Kuo et al.

RADIOLOGY (2014)

Article Radiology, Nuclear Medicine & Medical Imaging

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

Christoph A. Karlo et al.

RADIOLOGY (2014)

Article Oncology

Exploring Variability in CT Characterization of Tumors: A Preliminary Phantom Study

Binsheng Zhao et al.

TRANSLATIONAL ONCOLOGY (2014)

Review Oncology

Predicting outcomes in radiation oncology-multifactorial decision support systems

Philippe Lambin et al.

NATURE REVIEWS CLINICAL ONCOLOGY (2013)

Article Radiology, Nuclear Medicine & Medical Imaging

Segmentation of lung lesions on CT scans using watershed, active contours, and Markov random field

Yongqiang Tan et al.

MEDICAL PHYSICS (2013)

Article Radiology, Nuclear Medicine & Medical Imaging

High quality machine-robust image features: Identification in nonsmall cell lung cancer computed tomography images

Luke A. Hunter et al.

MEDICAL PHYSICS (2013)

Article Oncology

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

Philippe Lambin et al.

EUROPEAN JOURNAL OF CANCER (2012)

Article Radiology, Nuclear Medicine & Medical Imaging

Radiomics: the process and the challenges

Virendra Kumar et al.

MAGNETIC RESONANCE IMAGING (2012)

Article Oncology

Variability of Lung Tumor Measurements on Repeat Computed Tomography Scans Taken Within 15 Minutes

Geoffrey R. Oxnard et al.

JOURNAL OF CLINICAL ONCOLOGY (2011)

Article Radiology, Nuclear Medicine & Medical Imaging

Evaluating Variability in Tumor Measurements from Same-day Repeat CT Scans of Patients with Non-Small Cell Lung Cancer

Binsheng Zhao et al.

RADIOLOGY (2009)

Article Radiology, Nuclear Medicine & Medical Imaging

Relationship between gene expression and enhancement in glioblastoma multiforme: Exploratory DNA microarray analysis

Whitney B. Pope et al.

RADIOLOGY (2008)