文章名稱引用次數

• Classification of lung nodules in CT scans using three-dimensional deep convolutional neural networks with a checkpoint ensemble method14
• Automatic differentiation of Glaucoma visual field from non-glaucoma visual filed using deep convolutional neural network11
• An experimental study on breast lesion detection and classification from ultrasound images using deep learning architectures11
• Power of computed-tomography-defined sarcopenia for prediction of morbidity after pancreaticoduodenectomy10
• Accurate hybrid template-based and MR-based attenuation correction using UTE images for simultaneous PET/MR brain imaging applications8
• Radiomics-based classification of hepatocellular carcinoma and hepatic haemangioma on precontrast magnetic resonance images8
• MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection8
• CoreSlicer: a web toolkit for analytic morphomics8
• Differentiation of orbital lymphoma and idiopathic orbital inflammatory pseudotumor: combined diagnostic value of conventional MRI and histogram analysis of ADC maps7
• Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study7