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Independent validation of CT radiomics models in colorectal liver metastases: predicting local tumour progression after ablation
Automated Assessment of T2-Weighted MRI to Differentiate Malignant and Benign Primary Solid Liver Lesions in Noncirrhotic Livers Usiong Radiomics
Data infrastructures for AI in medical imaging: a report on the experiences of five EU projects
Optimization of Preoperative Lymph Node Staging in Patients with Muscle-Invasive Bladder Cancer Using Radiomics on Computed Tomography
Approximately 25% of the patients with muscle-invasive bladder cancer who are clinically node negative have occult lymph node metastases at radical cystectomy and pelvic lymph node dissection. The aim of this study was to evaluate preoperative CT-based radiomics to differentiate between pN+ and pN0 disease in patients with clinical stage cT2-T4aN0-N1M0 MIBC.
Differential diagnosis and molecular stratification of gastrointestinal stromal tumors on CT images using a radiomics approach
Classification of Clinically Significant Prostate Cancer on Multi-Parametric MRI: A Validation Study Comparing Deep Learning and Radiomics
Predicting symptomatic mesenteric mass in small intestinal neuroendocrine tumors using radiomics
The BRAF P.V600E Mutation Status of Melanoma Lung Metastases Cannot Be Discriminated on Computed Tomography by LIDC Criteria nor Radiomics Using Machine Learning
A Multi-Center, Multi-Vendor Study to Evaluate the Generalizability of a Radiomics Model for Classifying Prostate cancer: High Grade vs. Low Grade
Distinguishing pure histopathological growth patterns of colorectal liver metastases on CT using deep learning and radiomics: a pilot study