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Automated Assessment of T2-Weighted MRI to Differentiate Malignant and Benign Primary Solid Liver Lesions in Noncirrhotic Livers Usiong Radiomics
Comprehensive characterization of circulating tumor cells and cell-free DNA in patients with metastatic melanoma
MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations
Preoperative Classification of Peripheral Nerve Sheath Tumors on MRI Using Radiomics
Prognostic and predictive value of total tumor volume in patients with colorectal liver metastases
Radiology AI Deployment and Assessment Rubric (RADAR) to bring value-based AI into radiological practice
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.