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您的检索式：作者名="Rujing Sun"
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| 1 | Three-dimensional porous graphene sponges assembled with the combination of surfactant and freeze-drying显示文摘与表面活化剂和 freeze-drying 的联合,我们开发了二种 graphene 多孔的结构。在一方面,把肥皂水泡的泡沫用作模板,有富有的层次毛孔的三维的多孔的 graphene 海绵被综合了。材料的毛孔包含长度规模的三个层次,包括毫米,测微计和纳米。结构能被改变结冰媒介调节,调整激动人心的率或增加功能的添加剂。由 graphene 氧化物 / 表面活化剂暂停的直接 freeze-drying,在另一方面,有方向性地排列的毛孔的一个多孔的框架被准备。表面活化剂给 graphene 氧化物表的更好的分散,导致一个高特定的表面区域。两个获得的材料展出优秀吸收能力和好压缩性能,提供大量可能的应用程序,例如吸收剂,存储媒介,和搬运人。 | Rujing Zhang Yachang Cao Peixu Li Xiaobei Zang Pengzhan Sun Kunlin wang Minlin Zhong Jinquan Wei Dehai Wu Feiyu Kang Hongwei Zhu | 2014 | Nano Research2014，7，10： | 10 |
| 2 | Performance evaluation of deep learning-based post-processing and diagnostic reporting system for coronary CT angiography: a clinical comparative study显示文摘To the Editor:Coronary computed tomography angiography(CCTA)has been increasingly,widely performed for diagnosing coronary artery,disease,lAnatomical diagnosis,that is,stenosis grading,is stillthe main diagnostic index provided'by most CCTA tests.Post-processing and interpretation of stenosis are 2 essential'steps that need to be performed bycardiovascular imaging professionals from scan completion to diagnosis conclusion,which is repetitive and time-consuming,taking an average of 30 minutes each case in China and becoming the bottleneck and gradually creating an imbalance between supply and demand.In ine with the rapid development of artificial intelligence(Al)technology in recent years,it has been expected to solve these specific problems.We developed an AI system for automating post-processing and diagnostic reporting of CCTA data using deep learning algorithms to establishanew1-clickworkflowforeverydayuse,namely,CCTA-AI(Figure 1).To further assess its capabilities,this study intends to answer 2 following questions:To what extent can it improve the efficiency of post-processing?To what extent can CCTA-AI detect and calculate coronary artery stenosis due to each atherosclerotic plaque? | Nan Luo Yi He Jitao Fan Ning Guo Guang Yang Yuanyuan Kong Jianyong Wei Tao Bi Jie Zhou Jiaxin Cao Xianjun Han Fang Li Shiyu Zhang Rujing Sun Zhaozhao Wang Tian Ma Lixue Xu Hui Chen Hongwei Li Zhenchang Wang Zhenghan Yang | 2022 | Chinese Medical Journal2022，135，19： | 2 |
| 3 | Silicon Nitride Supported Nickel Catalysts for Partial Oxidation of Methane to Syngas 显示文摘 | Shang Rujing Sun Weizhong WangYingyong | 2008 | Catal Commun2008，9，1112： | 1 |
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