A Triple-Classification Radiomics Model for the Differentiation of Primary Chordoma, Giant Cell Tumor, and Metastatic Tumor of Sacrum Based on T2-Weighted and Contrast-Enhanced T1-Weighted MRI

Novel radiomic signature as a prognostic biomarker for locally advanced rectal cancer

(2018) Yankai Meng et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Erratum to: Radiomic features from the peritumoral brain parenchyma on treatment-naïve multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings

(2017) Prateek Prasanna et al.   EUROPEAN RADIOLOGY

Support vector machine for breast cancer classification using diffusion-weighted MRI histogram features: Preliminary study

(2017) Igor Vidić 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

Evaluation of machine learning algorithms and structural features for optimal MRI-based diagnostic prediction in psychosis

(2017) Raymond Salvador et al.   PLoS One

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

(2017) Chen Shen et al.   Translational Oncology

Rectal Cancer: Assessment of Neoadjuvant Chemoradiation Outcome based on Radiomics of Multiparametric MRI

(2016) K. Nie et al.   CLINICAL CANCER RESEARCH

Comparison of high-resolution T1W 3D GRE (LAVA) with 2-point Dixon fat/water separation (FLEX) to T1W fast spin echo (FSE) in prostate cancer (PCa)

(2016) Karim Samji et al.   CLINICAL IMAGING

Detection of Local Cancer Recurrence After Stereotactic Ablative Radiation Therapy for Lung Cancer: Physician Performance Versus Radiomic Assessment

(2016) Sarah A. Mattonen et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

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

Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi-institutional study

(2016) Shoshana B. Ginsburg et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Haralick textural features onT2-weighted MRI are associated with biochemical recurrence following radiotherapy for peripheral zone prostate cancer

(2016) Khémara Gnep et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Approaches to Regularized Regression – A Comparison between Gradient Boosting and the Lasso

(2016) Matthias Schmid et al.   METHODS OF INFORMATION IN MEDICINE

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

MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays

(2016) Hui Li et al.   RADIOLOGY

Radiomic phenotype features predict pathological response in non-small cell lung cancer

(2016) Thibaud P. Coroller et al.   RADIOTHERAPY AND ONCOLOGY

Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology

(2016) Weimiao Wu et al.   Frontiers in Oncology

What Is the Value of Surgical Intervention for Sacral Metastases?

(2016) Zhiye Du et al.   PLoS One

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

Machine Learning methods for Quantitative Radiomic Biomarkers

(2015) Chintan Parmar et al.   Scientific Reports

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

(2014) Hugo J. W. L. Aerts et al.   Nature Communications

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

Abdominal MRI at 3.0 T: LAVA-flex compared with conventional fat suppression T1-weighted images

(2013) Xing Hui Li et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Imaging features of primary and secondary malignant tumours of the sacrum

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

Radiomics: the process and the challenges

(2012) Virendra Kumar et al.   MAGNETIC RESONANCE IMAGING

Non–Small Cell Lung Cancer: Histopathologic Correlates for Texture Parameters at CT

(2012) Balaji Ganeshan et al.   RADIOLOGY