Radiographic prediction of meningioma grade by semantic and radiomic features

Radiomic-Based Pathological Response Prediction from Primary Tumors and Lymph Nodes in NSCLC

(2017) Thibaud P. Coroller et al.   Journal of Thoracic Oncology

Associations of Radiomic Data Extracted from Static and Respiratory-Gated CT Scans with Disease Recurrence in Lung Cancer Patients Treated with SBRT

(2017) Elizabeth Huynh et al.   PLoS One

Large-scale Radiomic Profiling of Recurrent Glioblastoma Identifies an Imaging Predictor for Stratifying Anti-Angiogenic Treatment Response

(2016) P. Kickingereder et al.   CLINICAL CANCER RESEARCH

Checkpoint inhibition in meningiomas

(2016) Wenya Linda Bi et al.   Immunotherapy

Imaging signatures of meningioma and low-grade glioma: a diffusion tensor, magnetization transfer and quantitative longitudinal relaxation time MRI study

(2016) Rory J. Piper et al.   MAGNETIC RESONANCE IMAGING

Applications and limitations of radiomics

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

Radiomics Analysis on FLT-PET/MRI for Characterization of Early Treatment Response in Renal Cell Carcinoma: A Proof-of-Concept Study

(2016) Jacob Antunes et al.   Translational Oncology

Radiomic Texture Analysis Mapping Predicts Areas of True Functional MRI Activity

(2016) Islam Hassan et al.   Scientific Reports

Use of Diffusion Weighted Imaging in Differentiating Between Maligant and Benign Meningiomas. A Multicenter Analysis

(2016) Alexey Surov et al.   World Neurosurgery

An Exploratory Study to Detect Ménière’s Disease in Conventional MRI Scans Using Radiomics

(2016) E. L. van den Burg et al.   Frontiers in Neurology

Reproducibility of radiomics for deciphering tumor phenotype with imaging

(2016) Binsheng Zhao et al.   Scientific Reports

CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma

(2015) Thibaud P. Coroller et al.   RADIOTHERAPY AND ONCOLOGY

Diffusion-Weighted Imaging in Meningioma: Prediction of Tumor Grade and Association with Histopathological Parameters

(2015) Alexey Surov et al.   Translational Oncology

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

(2015) Chintan Parmar et al.   Scientific Reports

Building Predictive Models inRUsing thecaretPackage

(2015) Max Kuhn   Journal of Statistical Software

Preoperative Radiologic Classification of Convexity Meningioma to Predict the Survival and Aggressive Meningioma Behavior

(2015) Yi Liu et al.   PLoS One

Correlation of Apparent Diffusion Coefficient With Ki-67 Proliferation Index in Grading Meningioma

(2014) Yi Tang et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

18F-FDG PET Uptake Characterization Through Texture Analysis: Investigating the Complementary Nature of Heterogeneity and Functional Tumor Volume in a Multi-Cancer Site Patient Cohort

(2014) M. Hatt et al.   JOURNAL OF NUCLEAR MEDICINE

Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation

(2014) Chintan Parmar et al.   PLoS One

Reproducibility and Prognosis of Quantitative Features Extracted from CT Images

(2014) Yoganand Balagurunathan et al.   Translational Oncology

Epidermal Growth Factor Receptor Mutation in Lung Adenocarcinomas: Relationship with CT Characteristics and Histologic Subtypes

(2013) Hyun-Ju Lee et al.   RADIOLOGY

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

(2012) Philippe Lambin et al.   EUROPEAN JOURNAL OF CANCER

A dual neural network ensemble approach for multiclass brain tumor classification

(2012) Jainy Sachdeva et al.   International Journal for Numerical Methods in Biomedical Engineering

Radiomics: the process and the challenges

(2012) Virendra Kumar et al.   MAGNETIC RESONANCE IMAGING

Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing

(2012) Marco Gerlinger et al.   NEW ENGLAND JOURNAL OF MEDICINE

survcomp: an R/Bioconductor package for performance assessment and comparison of survival models

(2011) Markus S. Schröder et al.   BIOINFORMATICS

Is diffusion-weighted imaging useful in grading and differentiating histopathological subtypes of meningiomas?

(2011) S. Eser Sanverdi et al.   EUROPEAN JOURNAL OF RADIOLOGY

Diffusion-weighted imaging does not predict histological grading in meningiomas

(2010) Luca Santelli et al.   ACTA NEUROCHIRURGICA

1H-MRS of intracranial meningiomas: What it can add to known clinical and MRI predictors of the histopathological and biological characteristics of the tumor?

(2010) Mikhail F. Chernov et al.   CLINICAL NEUROLOGY AND NEUROSURGERY

Automated assessment of malignant degree of small peripheral adenocarcinomas using volumetric CT data: Correlation with pathologic prognostic factors

(2010) Masahiro Yanagawa et al.   LUNG CANCER

Characteristics of typical and atypical meningiomas on ADC maps with respect to schwannomas

(2008) Goran Pavlisa et al.   CLINICAL IMAGING