Radiology高引用文章

• Liver Imaging Reporting and Data System (LI-RADS) Version 2018: Imaging of Hepatocellular Carcinoma in At-Risk Patients

  引用次数：88

• Current Applications and Future Impact of Machine Learning in Radiology

  引用次数：85

• Radiomics of CT Features May Be Nonreproducible and Redundant: Influence of CT Acquisition Parameters

  引用次数：83

• Methodologic Guide for Evaluating Clinical Performance and Effect of Artificial Intelligence Technology for Medical Diagnosis and Prediction

  引用次数：83

• Use of 2D U-Net Convolutional Neural Networks for Automated Cartilage and Meniscus Segmentation of Knee MR Imaging Data to Determine Relaxometry and Morphometry

  引用次数：57

• Gadolinium Retention: A Research Roadmap from the 2018 NIH/ACR/RSNA Workshop on Gadolinium Chelates

  引用次数：56

• A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction

  引用次数：55

• Photon-counting CT: Technical Principles and Clinical Prospects

  引用次数：55

• Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs

  引用次数：54

• Deep Learning with Convolutional Neural Network for Differentiation of Liver Masses at Dynamic Contrast-enhanced CT: A Preliminary Study

  引用次数：52