Invasive ductal breast cancer: preoperative predict Ki-67 index based on radiomics of ADC maps

Machine Learning-based Analysis of Rectal Cancer MRI Radiomics for Prediction of Metachronous Liver Metastasis

(2019) Meng Liang et al.   ACADEMIC RADIOLOGY

Radiomics analysis of multiparametric MRI for the preoperative evaluation of pathological grade in bladder cancer tumors

(2019) Huanjun Wang et al.   EUROPEAN RADIOLOGY

CT-based radiomics features analysis for predicting the risk of anterior mediastinal lesions

(2019) He Sui et al.   Journal of Thoracic Disease

An MRI-based Radiomics Classifier for Preoperative Prediction of Ki-67 Status in Breast Cancer

(2018) Cuishan Liang et al.   ACADEMIC RADIOLOGY

Breast cancer intratumour heterogeneity: current status and clinical implications

(2018) Chitra Joseph et al.   HISTOPATHOLOGY

Radiomics and radiogenomics for precision radiotherapy

(2018) Jia Wu et al.   JOURNAL OF RADIATION RESEARCH

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

Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer

(2016) Yan-qi Huang et al.   JOURNAL OF CLINICAL ONCOLOGY

Pattern Recognition Approaches for Breast Cancer DCE-MRI Classification: A Systematic Review

(2016) Roberta Fusco et al.   Journal of Medical and Biological Engineering

Radiomics: Images Are More than Pictures, They Are Data

(2016) Robert J. Gillies et al.   RADIOLOGY

Prognostic value of different cut-off levels of Ki-67 in breast cancer: a systematic review and meta-analysis of 64,196 patients

(2015) Fausto Petrelli et al.   BREAST CANCER RESEARCH AND TREATMENT

MR mammography using diffusion-weighted imaging in evaluating breast cancer: a correlation with proliferation index

(2015) Cristina Molinari et al.   Radiologia Medica

Magnetic resonance image features identify glioblastoma phenotypic subtypes with distinct molecular pathway activities

(2015) Haruka Itakura et al.   Science Translational Medicine

Integration of DCE-MRI and DW-MRI Quantitative Parameters for Breast Lesion Classification

(2015) Roberta Fusco et al.   Biomed Research International

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

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

Correlations between apparent diffusion coefficient values of invasive ductal carcinoma and pathologic factors on diffusion-weighted MRI at 3.0 Tesla

(2013) Sung Hee Park et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Apparent diffusion coefficient reproducibility of the pancreas measured at different MR scanners using diffusion-weighted imaging

(2013) Xiao-Hua Ye et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

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

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

Diffusion-weighted MR imaging of the breast: Advantages and pitfalls

(2012) I. Thomassin-Naggara et al.   EUROPEAN JOURNAL OF RADIOLOGY

Radiomics: the process and the challenges

(2012) Virendra Kumar et al.   MAGNETIC RESONANCE IMAGING

Strategies for subtypes—dealing with the diversity of breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2011

(2011) A. Goldhirsch et al.   ANNALS OF ONCOLOGY

The Role of Parallel Diffusion-Weighted Imaging and Apparent Diffusion Coefficient (ADC) Map Values for Evaluating Breast Lesions

(2010) Guangwei Jin et al.   ACADEMIC RADIOLOGY

Ki67 Index, HER2 Status, and Prognosis of Patients With Luminal B Breast Cancer

(2009) Maggie C. U. Cheang et al.   JNCI-Journal of the National Cancer Institute