United Imaging Healthcare (China)
China
Shijie Xu
Work
Education
Shandong University
China
Publications
Does the deep learning-based iterative reconstruction affect the measuring accuracy of bone mineral density in low-dose chest CT?
British Journal of Radiology
journal-article
Image quality assessment of artificial intelligence iterative reconstruction for low dose unenhanced abdomen: comparison with hybrid iterative reconstruction
Abdominal Radiology
journal-article
Ultralow dose coronary calcium scoring CT at reduced tube voltage and current by using deep learning image reconstruction
European Journal of Radiology
journal-article
Correlation between clinical characteristics and epicardial adipose tissue features in acute myocarditis patients using coronary computed tomography (CT) vascular imaging: a case-control study with retrospective data collection
Quantitative Imaging in Medicine and Surgery
journal-article
Ultra-low-dose CT lung screening with artificial intelligence iterative reconstruction: evaluation via automatic nodule-detection software
Clinical Radiology
journal-article
Measurement of epicardial adipose tissue using non-contrast routine chest-CT: a consideration of threshold adjustment for fatty attenuation
BMC Medical Imaging
journal-article
Applying a CT texture analysis model trained with deep‐learning reconstruction images to iterative reconstruction images in pulmonary nodule diagnosis
Journal of Applied Clinical Medical Physics
journal-article
Total variation regularized expectation maximization reconstruction improves 68Ga-FAPI-04 PET/CT image quality as compared to ordered subset expectation maximization reconstruction
The Quarterly Journal of Nuclear Medicine and Molecular Imaging
journal-article
The Impact of Total Variation Regularized Expectation Maximization Reconstruction on 68Ga-DOTA-TATE PET/CT Images in Patients With Neuroendocrine Tumor
Frontiers in Medicine
journal-article
Simulation of light scattering from two-dimensional cells with finite-difference time-domain method
2017 Chinese Automation Congress (CAC)
conference-paper