Comparison of radiomics machine-learning classifiers and feature selection for differentiation of sacral chordoma and sacral giant cell tumour based on 3D computed tomography features

Radiomic signature as a diagnostic factor for histologic subtype classification of non-small cell lung cancer

(2018) Xinzhong Zhu et al.   EUROPEAN RADIOLOGY

Radiomic features of pretreatment MRI could identify T stage in patients with rectal cancer: Preliminary findings

(2018) Yiqun Sun et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Comparison of a radiomic biomarker with volumetric analysis for decoding tumour phenotypes of lung adenocarcinoma with different disease-specific survival

(2017) Mei Yuan et al.   EUROPEAN RADIOLOGY

Tumor radiomic heterogeneity: Multiparametric functional imaging to characterize variability and predict response following cervical cancer radiation therapy

(2017) Stephen R. Bowen et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Radiomics: the bridge between medical imaging and personalized medicine

(2017) Philippe Lambin et al.   Nature Reviews Clinical Oncology

Beyond imaging: The promise of radiomics

(2017) Michele Avanzo et al.   Physica Medica-European Journal of Medical Physics

CT Texture Analysis: Definitions, Applications, Biologic Correlates, and Challenges

(2017) Meghan G. Lubner et al.   RADIOGRAPHICS

2D and 3D CT Radiomics Features Prognostic Performance Comparison in Non-Small Cell Lung Cancer

(2017) Chen Shen et al.   Translational Oncology

The effects of segmentation algorithms on the measurement of 18F-FDG PET texture parameters in non-small cell lung cancer

(2017) Usman Bashir et al.   EJNMMI Research

Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning

(2017) Kenny H. Cha et al.   Scientific Reports

What Are the Conditional Survival and Functional Outcomes After Surgical Treatment of 115 Patients With Sacral Chordoma?

(2016) Tao Ji et al.   CLINICAL ORTHOPAEDICS AND RELATED RESEARCH

Use of texture analysis based on contrast-enhanced MRI to predict treatment response to chemoradiotherapy in nasopharyngeal carcinoma

(2016) Jia Liu et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Applications and limitations of radiomics

(2016) Stephen S F Yip et al.   PHYSICS IN MEDICINE AND BIOLOGY

Radiomic Profiling of Glioblastoma: Identifying an Imaging Predictor of Patient Survival with Improved Performance over Established Clinical and Radiologic Risk Models

(2016) Philipp Kickingereder et al.   RADIOLOGY

Surgical treatment of sacral chordoma: survival and prognostic factors

(2015) C. Ruosi et al.   EUROPEAN SPINE JOURNAL

A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities

(2015) M Vallières et al.   PHYSICS IN MEDICINE AND BIOLOGY

Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer

(2015) Chintan Parmar et al.   Frontiers in Oncology

Correlation of Intra-Tumor 18F-FDG Uptake Heterogeneity Indices with Perfusion CT Derived Parameters in Colorectal Cancer

(2014) Florent Tixier et al.   PLoS One

Predicting Outcomes of Nonsmall Cell Lung Cancer Using CT Image Features

(2014) Samuel H. Hawkins et al.   IEEE Access

Differentiation of primary chordoma, giant cell tumor and schwannoma of the sacrum by CT and MRI

(2013) Ming-Jue Si et al.   EUROPEAN JOURNAL OF RADIOLOGY

Imaging features of primary and secondary malignant tumours of the sacrum

(2012) E Thornton et al.   BRITISH JOURNAL OF RADIOLOGY

Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal

(2008) Babak Mohammadzadeh Asl et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE