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The British Journal of Radiology|April 25, 2019
Quantitative study of liver hemodynamic changes in rats with small-for-size syndrome by the 4D-CT perfusion techniquePeiyi Xie, Li Quan, Sidong Xie, et al.
European Journal of Radiology|May 29, 2007
Partial splenic embolization using polyvinyl alcohol particles for hypersplenism in cirrhosis: a prospective randomized studyKangshun Zhu, Xiaochun Meng, Zhengran Li, et al.
Molecular Imaging and Biology|May 16, 2018
Bioluminescence Imaging of Transplanted Mesenchymal Stem Cells by Overexpression of Hepatocyte Nuclear Factor4α: Tracking Biodistribution and SurvivalPeiyi Xie, Xiaojun Hu, Dan Li, et al.
Diseases of the Colon and Rectum|October 1, 2019
Clinical Anastomotic Leakage After Rectal Cancer Resection Can Be Predicted by Pelvic Anatomic Features on Preoperative MRI Scans: A Secondary Analysis of a Randomized Controlled TrialTenghui Ma, Qinghua Zhong, Wuteng Cao, et al.
Journal of Orthopaedic Surgery and Research|July 18, 2018
A novel ultrasound scanning approach for evaluating femoral cartilage defects of the knee: comparison with routine magnetic resonance imagingJunyan Cao, Bowen Zheng, Xiaochun Meng, et al.
Journal of Thoracic Imaging|March 3, 2011
Computed tomography and clinical features of invasive pulmonary aspergillosis in liver transplant recipientsJie Qin, Xiaochun Meng, Yuan Fang, et al.
Scientific Reports|December 31, 2024
Anatomic association between the gastrocolic trunk of Henle and right colic artery by high-quality CT venographyXinzhe Zhao, Hongda Zhang, Hengyu Zhao, et al.
Talanta|October 24, 2013
Long-tail probe-mediated cycled strand displacement amplification: label-free, isothermal and sensitive detection of nucleic acidsHongyan Su, Jiabao Long, Qiuping Guo, et al.
Biochemical and Biophysical Research Communications|July 23, 2013
miR-122 targets NOD2 to decrease intestinal epithelial cell injury in Crohn's diseaseYu Chen, Chengxiao Wang, Ying Liu, et al.
Australasian Physical & Engineering Sciences in Medicine|April 15, 2018
Fully convolutional networks (FCNs)-based segmentation method for colorectal tumors on T2-weighted magnetic resonance imagesJunming Jian, Fei Xiong, Wei Xia, et al.
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