An investigation of machine learning methods in delta-radiomics feature analysis

Texture analysis and machine learning to characterize suspected thyroid nodules and differentiated thyroid cancer: Where do we stand?

(2018) Martina Sollini et al.   EUROPEAN JOURNAL OF RADIOLOGY

Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: Preliminary findings

(2018) Ahmad Algohary et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Empirical evaluation of data normalization methods for molecular classification

(2018) Huei-Chung Huang et al.   PeerJ

Urinary bladder cancer staging in CT urography using machine learning

(2017) Sankeerth S. Garapati et al.   MEDICAL PHYSICS

Delta-radiomics features for the prediction of patient outcomes in non–small cell lung cancer

(2017) Xenia Fave et al.   Scientific Reports

A comparative study of machine learning methods for time-to-event survival data for radiomics risk modelling

(2017) Stefan Leger et al.   Scientific Reports

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

TU-D-207B-07: Radiomic Response Assessment for Recurrent Glioblastoma Treated with Bevacizumab in the BRAIN Trial

(2016) P Grossmann et al.   MEDICAL PHYSICS

Comparison of Feature Selection Techniques in Machine Learning for Anatomical Brain MRI in Dementia

(2016) Jussi Tohka et al.   NEUROINFORMATICS

Radiomics: Images Are More than Pictures, They Are Data

(2016) Robert J. Gillies et al.   RADIOLOGY

Early variation of FDG-PET radiomics features in NSCLC is related to overall survival - the “delta radiomics” concept

(2016) S. Carvalho et al.   RADIOTHERAPY AND ONCOLOGY

The development and validation of a CT-based radiomics signature for the preoperative discrimination of stage I-II and stage III-IV colorectal cancer

(2016) Cuishan Liang et al.   Oncotarget

Lung Texture in Serial Thoracic Computed Tomography Scans: Correlation of Radiomics-based Features With Radiation Therapy Dose and Radiation Pneumonitis Development

(2015) Alexandra Cunliffe et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

CT texture analysis in colorectal liver metastases: A better way than size and volume measurements to assess response to chemotherapy?

(2015) Sheng-Xiang Rao et al.   United European Gastroenterology Journal

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

Advanced Statistical Matrices for Texture Characterization: Application to Cell Classification

(2013) Guillaume Thibault et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

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

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

Using cross-validation to evaluate predictive accuracy of survival risk classifiers based on high-dimensional data

(2011) R. M. Simon et al.   BRIEFINGS IN BIOINFORMATICS