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14篇 您的检索式:作者名="Anjia"
    题名 作者 年代 出处 被引量
1Separation and simultaneous determination of tutin,puerarin,daidzein,esculin and esculetin in medicinal preparations by non-aqueous capillary显示文摘Cunhong Li Anjia Chen Xiaofeng Chen Xingguo Chen Zhide Hu 0,,:1
2Non-aqueous capillary electrophoresis for simultaneous separation and determination of three major active components in traditional medicinal preparations显示文摘Cunhong Li Jiyou Zhang Anjia Chen Jianping Xie Xingguo Chen Zhide Hu 0,,:1
3Non-aqueous capillary electrophoresis for separation and simultaneous determination of fraxin,esculin and esculetin in Cortex fraxini and its medicinal preparations显示文摘Cunhong Li Anjia Chen Xiaofeng Chen Xiao Ma Xingguo Chen Zhide Hu 0,,:1
4Construction of Alkenyl-Functionalized Spirocarbocyclic Scaffolds from Alkyne-Containing Phenol-Based Biaryls via Sequential lodine-Induced Cyclization/Dearomatization and Pd-Catalyzed Coupling of N-Tosylhydrazones显示文摘of main obse rvation and conclusion An efficient strategy for the formation of alkenyl-functionalized spirocarbocyclic scaffolds from alkyne-containing phenol-based biaryls via sequential iodine-induced cyclization/dearomatization and Pd-catalyzed coupling of N-tosylhydrazones is developed.The approach provides various spirocarbocyclic compounds in moderate to excellent yields with good functional tolerance.The results also demonstrate the feasibility for the direct cross-couplings of N-tosyl hydrazones with sterically congested tetrasubstituted alkenyl halides.Anjia Liu Kaiming Han Xin-Xing Wu Shufeng Chen Jianbo Wang 2020Chinese Journal of Chemistry2020,38,11:1
5Astrocyte elevated gene‐1 interacts with β‐catenin and increases migration and invasion of colorectal carcinoma显示文摘Fenfen Zhang Qingxu Yang Fengjiao Meng Huijuan Shi Hui Li Yingjie Liang Anjia Han 2013Carcinog2013,,8:1
6Genotipy evolution of Azole resistance mechanisms in sequential candida albicans iso Iates显示文摘Alix Cost Anna Selmecki Anjia Forche 2007Eukaryotic Cell2007,,:1
7Cooperative games with stochastic payoffs显示文摘Jeroen Suijs Peter Borm Anjia De Waegenaere Stef Tijs 1999European Journal of Operational Research1999,113,:1
8PMU placement and data processing in WARMS that complements SCADA 显示文摘Mao Anjia Yu Jiaxi Guo Zhizhong 2005IEEE Power Engineering Society General Meeting2005,,:1
9Adaptation and acclimation of growth and photosynthesis of five Antarctic red algae to low ternperatures 显示文摘Anjia Eggert Christian Wiencke 2000Polar Biol2000,23,:1
10Fully distributed certificateless threshold signature without random oracles显示文摘A certificateless(t,n)threshold signature(CLTS)scheme allows at least t members to cooperatively sign a message on behalf of an n-member group,which is a good way to share the responsibility and authority.Many researchers have focusedWenjie YANG Weiqi LUO Xizhao LUO Jian WENG Anjia YANG 2018Science China(Information Sciences)2018,61,9:1
11Wavelet denoising of multiframe optical coherence tomography data 显示文摘Markus A M Anjia B Martin W 2012Biomedical Optics Express2012,3,3:1
12Overexpression of astrocyte-elevated gene-1 is closely correlated with poor prognosis in human non–small cell lung cancer and mediates its metastasis through up-regulation of matrix metalloproteinase-9 expression显示文摘Shijun Sun Zunfu Ke Fen Wang Shuhua Li Wenfang Chen Anjia Han Zuo Wang Huijuan Shi Lian-tang Wang Xiaodong Chen 2012Human Pathology2012,,7:1
13Separation and simultaneous determination of rutin, puerarin, daidzein, esculin and esculetin in medicinal preparations by non-aqueous capillary显示文摘Li Cunhong Chen Anjia Chen Xiaofeng 2005Journal of Pharmaceutical & Biomedical Analysis2005,39,12:1
14Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer with Deep Learning显示文摘Objective.To develop an artificial intelligence method predicting lymph node metastasis(LNM)for patients with colorectal cancer(CRC).Impact Statement.A novel interpretable multimodal AI-based method to predict LNM for CRC patients by integrating information of pathological images and serum tumor-specific biomarkers.Introduction.Preoperative diagnosis of LNM is essential in treatment planning for CRC patients.Existing radiology imaging and genomic tests approaches are either unreliable or too costly.Methods.A total of 1338 patients were recruited,where 1128 patients from one centre were included as the discovery cohort and 210 patients from other two centres were involved as the external validation cohort.We developed a Multimodal Multiple Instance Learning(MMIL)model to learn latent features from pathological images and then jointly integrated the clinical biomarker features for predicting LNM status.The heatmaps of the obtained MMIL model were generated for model interpretation.Results.The MMIL model outperformed preoperative radiology-imaging diagnosis and yielded high area under the curve(AUCs)of 0.926,0.878,0.809,and 0.857 for patients with stage T1,T2,T3,and T4 CRC,on the discovery cohort.On the external cohort,it obtained AUCs of 0.855,0.832,0.691,and 0.792,respectively(T1-T4),which indicates its prediction accuracy and potential adaptability among multiple centres.Conclusion.The MMIL model showed the potential in the early diagnosis of LNM by referring to pathological images and tumor-specific biomarkers,which is easily accessed in different institutes.We revealed the histomorphologic features determining the LNM prediction indicating the model ability to learn informative latent features.Hailing Liu Yu Zhao Fan Yang Xiaoying Lou Feng Wu Hang Li Xiaohan Xing Tingying Peng Bjoern Menze Junzhou Huang Shujun Zhang Anjia Han Jianhua Yao Xinjuan Fan 2022Biomedical Engineering Frontiers2022,3,1:0
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