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5篇 您的检索式:作者名="Leida Zhang"
    题名 作者 年代 出处 被引量
1A randomized comparison of primary closure and T-tube drainage of the common bile duct after laparoscopic choledochotomy显示文摘Zhang Leida Bie Ping Wang Shuguang He Yu 2008Surgical Endoscopy2008,,7:1
2A randomized comparison of primary elosure and T-tube drainage of the common bile duct after laparoscopic choledochotomy 显示文摘Zhang Leida Bie Ping Wang Shuguang 2008Surg Endosc2008,22,:1
3Pathogenesis of Biliary Filling Defect-Related Complications Following Orthotopic Liver Transplantation显示文摘Yu He Leida Zhang Qian Lu Jun Din Zhanyu Yang Zhihua Li Ping Bie Shuguang Wang Jiahong Dong 2007器官移植内科学杂志2007,2,4:0
4Safety analysis of COVID-19 vaccines in liver transplant recipients:a two-center study显示文摘Up to know,product information for COVID-19 mRNA vaccines do not include their use in patients receiving immunosuppressive medication,since they were not included in trials(1).For the BNT162b2 mRNA vaccine,one case of otherwise totally asymptomatic elevations of alanine aminotransferase(ALT),aspartate aminotransferase(AST),alkaline phosphatase(ALP)andγ-glutamyl transpeptidase(GGT)serum concentrations in a liver transplant recipient has been reported after the first injection(2).In the present retrospective study,we present safety outcomes of COVID-19 vaccinations in 56 liver transplant patients from two Chinese centers vaccinated with the domestic PiCoVacc,BBIBP-CorV and ZF2001 vaccines.Thirty vaccinated physicians from the Hepatopancreatobiliary Center of Beijing Tsinghua Changgung Hospital served as control,from which 1 participant received an Ad5-nCoV vaccine.The study deadline was 2021-10-31.The observation period for adverse reactions,such as muscle pain and fatigue was 1 week,while for laboratory examinations such as liver function the follow-up period was 1 month.Rui Tang Chao Li Guangdong Wu Xuan Tong Lihan Yu Huayuan Hao Rui Liao Yucheng Hou Jun Li Wenping Zhao Tieyan Fan Leida Zhang Qian Lu 2022Hepatobiliary Surgery and Nutrition2022,11,1:0
5No-Reference Quality Assessment of Enhanced Images显示文摘Image enhancement is a popular technique,which is widely used to improve the visual quality of images.While image enhancement has been extensively investigated,the relevant quality assessment of enhanced images remains an open problem,which may hinder further development of enhancement techniques.In this paper,a no-reference quality metric for digitally enhanced images is proposed.Three kinds of features are extracted for characterizing the quality of enhanced images,including non-structural information,sharpness and naturalness.Specifically,a total of 42 perceptual features are extracted and used to train a support vector regression(SVR) model.Finally,the trained SVR model is used for predicting the quality of enhanced images.The performance of the proposed method is evaluated on several enhancement-related databases,including a new enhanced image database built by the authors.The experimental results demonstrate the efficiency and advantage of the proposed metric.Leida Li Wei Shen Ke Gu Jinjian Wu Beijing Chen Jianying Zhang 2016China Communications2016,13,9:0
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