Related references
Note: Only part of the references are listed.Machine Learning Methods for Optimal Radiomics-Based Differentiation Between Recurrence and Inflammation: Application to Nasopharyngeal Carcinoma Post-therapy PET/CT Images
Dongyang Du et al.
MOLECULAR IMAGING AND BIOLOGY (2020)
Preliminary clinical results for PET/MR compared with PET/CT in patients with nasopharyngeal carcinoma
Yong Cheng et al.
ONCOLOGY REPORTS (2020)
Heterogeneity in tumours: Validating the use of radiomic features on 18F-FDG PET/CT scans of lung cancer patients as a prognostic tool
Marie Manon Krebs Krarup et al.
RADIOTHERAPY AND ONCOLOGY (2020)
A clinical-radiomics nomogram for the preoperative prediction of lung metastasis in colorectal cancer patients with indeterminate pulmonary nodules
TingDan Hu et al.
EUROPEAN RADIOLOGY (2019)
Texture Analysis on [18F]FDG PET/CT in Non-Small-Cell Lung Cancer: Correlations Between PET Features, CT Features, and Histological Types
Francesco Bianconi et al.
MOLECULAR IMAGING AND BIOLOGY (2019)
Radiomics on multi-modalities MR sequences can subtype patients with non-metastatic nasopharyngeal carcinoma (NPC) into distinct survival subgroups (vol 29, pg 1211, 2019)
En-Hong Zhuo et al.
EUROPEAN RADIOLOGY (2019)
Radiomics in Glioblastoma: Current Status and Challenges Facing Clinical Implementation
Ahmad Chaddad et al.
FRONTIERS IN ONCOLOGY (2019)
Machine Learning-Based Analysis of MR Multiparametric Radiomics for the Subtype Classification of Breast Cancer
Tianwen Xie et al.
FRONTIERS IN ONCOLOGY (2019)
Hippocampus Radiomic Biomarkers for the Diagnosis of Amnestic Mild Cognitive Impairment: A Machine Learning Method
Qi Feng et al.
FRONTIERS IN AGING NEUROSCIENCE (2019)
Radiomics based on multicontrast MRI can precisely differentiate among glioma subtypes and predict tumour-proliferative behaviour
Changliang Su et al.
EUROPEAN RADIOLOGY (2019)
Clinical utility of simultaneous whole-body F-18-FDG PET/MRI as a single-step imaging modality in the staging of primary nasopharyngeal carcinoma
Sheng-Chieh Chan et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2018)
Radiomics Features Differentiate Between Normal and Tumoral High-Fdg Uptake
Chih-Yang Hsu et al.
SCIENTIFIC REPORTS (2018)
Radiomics Evaluation of Histological Heterogeneity Using Multiscale Textures Derived From 3D Wavelet Transformation of Multispectral Images
Ahmad Chaddad et al.
FRONTIERS IN ONCOLOGY (2018)
Predicting the Development of Normal-Appearing White Matter With Radiomics in the Aging Brain: A Longitudinal Clinical Study
Yuan Shao et al.
FRONTIERS IN AGING NEUROSCIENCE (2018)
Predicting Gleason Score of Prostate Cancer Patients Using Radiomic Analysis
Ahmad Chaddad et al.
FRONTIERS IN ONCOLOGY (2018)
Metabolic Radiomics for Pretreatment 18F-FDG PET/CT to Characterize Locally Advanced Breast Cancer: Histopathologic Characteristics, Response to Neoadjuvant Chemotherapy, and Prognosis
Seunggyun Ha et al.
SCIENTIFIC REPORTS (2017)
Nasopharyngeal carcinoma incidence and mortality in China, 2013
Kuang-Rong Wei et al.
CHINESE JOURNAL OF CANCER (2017)
Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma
Bin Zhang et al.
CLINICAL CANCER RESEARCH (2017)
The Eighth Edition AJCC Cancer Staging Manual: Continuing to build a bridge from a population-based to a more personalized approach to cancer staging
Mahul B. Amin et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2017)
Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer
Yan-qi Huang et al.
JOURNAL OF CLINICAL ONCOLOGY (2016)
Radiomic phenotype features predict pathological response in non-small cell lung cancer
Thibaud P. Coroller et al.
RADIOTHERAPY AND ONCOLOGY (2016)
Prognostic Value of Volume-Based Positron Emission Tomography/Computed Tomography in Patients With Nasopharyngeal Carcinoma Treated With Concurrent Chemoradiotherapy
Seung Hwan Moon et al.
CLINICAL AND EXPERIMENTAL OTORHINOLARYNGOLOGY (2015)
Improving the TNM classification: Findings from a 10-year continuous literature review
Colleen Webber et al.
INTERNATIONAL JOURNAL OF CANCER (2014)
Radiomics: Extracting more information from medical images using advanced feature analysis
Philippe Lambin et al.
EUROPEAN JOURNAL OF CANCER (2012)
ASSOCIATION BETWEEN PULMONARY UPTAKE OF FLUORODEOXYGLUCOSE DETECTED BY POSITRON EMISSION TOMOGRAPHY SCANNING AFTER RADIATION THERAPY FOR NON-SMALL-CELL LUNG CANCER AND RADIATION PNEUMONITIS
Michael P. Mac Manus et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2011)
Intratumor Heterogeneity Characterized by Textural Features on Baseline 18F-FDG PET Images Predicts Response to Concomitant Radiochemotherapy in Esophageal Cancer
Florent Tixier et al.
JOURNAL OF NUCLEAR MEDICINE (2011)
Correlation of positron emission tomography standard uptake value and pathologic specimen size in cancer of the head and neck
Ryan J. Burri et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2008)
Share Paper
