Development and validation of a robust MRI-based nomogram incorporating radiomics and deep features for preoperative glioma grading: a multi-center study基于MRI的放射组学和深度特征融合的术前胶质瘤分级稳健型列线图的开发与验证:一项多中心研究QUANTITATIVE IMAGING IN MEDICINE AND SURGERYIF2.32025-02-017PRE
YOLOv8 Outperforms Traditional CNN Models in Mammography Classification: Insights From a Multi-Institutional DatasetINTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGYIF2.52024-12-165PRE
Depleted Uranium Contamination and Radiological Risks of Surface Soils, River Sediments, and Roadside DepositsWATER AIR AND SOIL POLLUTIONIF32024-07-240PRE
Radiomics and Deep Features: Robust Classification of Brain Hemorrhages and Reproducibility Analysis Using a 3D Autoencoder Neural NetworkBIOENGINEERING-BASELIF3.72024-06-2416OAAI
Differential privacy preserved federated learning for prognostic modeling in COVID-19 patients using large multi-institutional chest CT datasetMEDICAL PHYSICSIF3.22024-02-092OA
Differentiation of COVID-19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort studyINTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGYIF2.52024-02-011OA
COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patientsCOMPUTERS IN BIOLOGY AND MEDICINEIF6.32022-06-0134OAAI