Radiomics and Machine Learning With Multiparametric Preoperative MRI May Accurately Predict the Histopathological Grades of Soft Tissue Sarcomas

Soft-Tissue Sarcomas: Assessment of MRI Features Correlating with Histologic Grade and Patient Outcome

(2019) Amandine Crombé et al.   RADIOLOGY

Adjuvant chemotherapy and postoperative radiotherapy in high-risk soft tissue sarcoma patients defined by biological risk factors—A Scandinavian Sarcoma Group study (SSG XX)

(2018) Kirsten Sundby Hall et al.   EUROPEAN JOURNAL OF CANCER

Radiomic analysis of soft tissues sarcomas can distinguish intermediate from high-grade lesions

(2017) Valentina D.A. Corino et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Neoadjuvant chemotherapy in soft tissue sarcomas: latest evidence and clinical implications

(2017) Sandro Pasquali et al.   Therapeutic Advances in Medical Oncology

Current utilities of imaging in grading musculoskeletal soft tissue sarcomas

(2016) Stephen M. Fisher et al.   EUROPEAN JOURNAL OF RADIOLOGY

Tissue segmentation of computed tomography images using a Random Forest algorithm: a feasibility study

(2016) Daniel F Polan et al.   PHYSICS IN MEDICINE AND BIOLOGY

Radiomics: Images Are More than Pictures, They Are Data

(2016) Robert J. Gillies et al.   RADIOLOGY

Patterns of Chemotherapy Administration in High-Risk Soft Tissue Sarcoma and Impact on Overall Survival

(2015) Sujana Movva et al.   Journal of the National Comprehensive Cancer Network

Lessons Learned From the Study of 10,000 Patients With Soft Tissue Sarcoma

(2014) Murray F. Brennan et al.   ANNALS OF SURGERY

Accuracy of Preoperative Percutaneous Biopsy for the Diagnosis of Retroperitoneal Liposarcoma Subtypes

(2014) Naruhiko Ikoma et al.   ANNALS OF SURGICAL ONCOLOGY

Can MR Imaging Be Used to Predict Tumor Grade in Soft-Tissue Sarcoma?

(2014) Fang Zhao et al.   RADIOLOGY

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

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

Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities

(2013) Adrien Depeursinge et al.   MEDICAL IMAGE ANALYSIS

LVQ-SMOTE – Learning Vector Quantization based Synthetic Minority Over–sampling Technique for biomedical data

(2013) Munehiro Nakamura et al.   BioData Mining

Cancer statistics, 2012

(2012) Rebecca Siegel et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Training and assessing classification rules with imbalanced data

(2012) Giovanna Menardi et al.   DATA MINING AND KNOWLEDGE DISCOVERY

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

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

Analysis of Nondiagnostic Results after Image-guided Needle Biopsies of Musculoskeletal Lesions

(2010) Justin Yang et al.   CLINICAL ORTHOPAEDICS AND RELATED RESEARCH

The role of core needle biopsy in the diagnosis of suspected soft tissue tumours

(2010) D.C. Strauss et al.   JOURNAL OF SURGICAL ONCOLOGY

Prognostic Value and Staging Categories of Anatomic Masticator Space Involvement in Nasopharyngeal Carcinoma: A Study of 924 Cases with MR Imaging

(2010) Ling-Long Tang et al.   RADIOLOGY

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Spatial Heterogeneity in Sarcoma 18F-FDG Uptake as a Predictor of Patient Outcome

(2008) J. F. Eary et al.   JOURNAL OF NUCLEAR MEDICINE

Histologic Alterations from Neoadjuvant Chemotherapy in High-Grade Extremity Soft Tissue Sarcoma: Clinicopathological Correlation

(2008) D. R. Lucas et al.   ONCOLOGIST