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3篇 您的检索式:作者名="LE Weibo"
    题名 作者 年代 出处 被引量
1A Multicenter Application and Evaluation of the Oxford Classification of IgA Nephropathy in Adult Chinese Patients显示文摘Cai-Hong Zeng Weibo Le Zhaohui Ni Minfang Zhang Lining Miao Ping Luo Rong Wang Zhimei Lv Jianghua Chen Jiong Tian Nan Chen Xiaoxia Pan Ping Fu Zhangxue Hu Lining Wang Qiuling Fan Hongguang Zheng Dewei Zhang Yaping Wang Yanhong Huo Hongli Lin Shuni Chen Sh 2012American Journal of Kidney Diseases2012,,5:2
2Long-term renal survival and related risk factors in patients with Ig A nephropathy:results from a cohort of 1155 cases in a Chinese adult population显示文摘LE Weibo LIANG Shaoshan HU Yanglin 2012Nephrology Dialysis Transplantation2012,27,4:1
3Protocol for Brain Magnetic Resonance Imaging and Extraction of Imaging‑Derived Phenotypes from the China Phenobank Project显示文摘Imaging-derived phenotypes(IDPs)have been increasingly used in population-based cohort studies in recent years.As widely reported,magnetic resonance imaging(MRI)is an important imaging modality for assessing the anatomical structure and function of the brain with high resolution and excellent soft-tissue contrast.The purpose of this article was to describe the imaging protocol of the brain MRI in the China Phenobank Project(CHPP).Each participant underwent a 30-min brain MRI scan as part of a 2-h whole-body imaging protocol in CHPP.The brain imaging sequences included T1-magnetization that prepared rapid gradient echo,T2 fuid-attenuated inversion-recovery,magnetic resonance angiography,difusion MRI,and resting-state functional MRI.The detailed descriptions of image acquisition,interpretation,and post-processing were provided in this article.The measured IDPs included volumes of brain subregions,cerebral vessel geometrical parameters,microstructural tracts,and function connectivity metrics.Chengyan Wang Zhang Shi Yan Li Xueqin Xia Xutong Kuang Shufang Qian Le Xue Lizhen Lan Yudan Wu Na Zhang Ji Tao Xumei Hu Wenzhao Cao Naying He Yike Guo Weibo Chen Jun Zhang Jingchun Luo He Wang Mei Tian 2023Phenomics2023,3,6:0
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