Feature-enhanced X-ray imaging using fused neural network strategy with designable metasurface.

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第一作者： Hao,Shi

第一单位： Shanghai Synchrotron Radiation Facility, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201204, China.;Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China.;University of Chinese Academy of Sciences, Beijing 100049, China.

作者： Hao,Shi ^[1] ; Yuanhe,Sun ^[2] ; Zhaofeng,Liang ^[3] ; Shuqi,Cao ^[4] ; Lei,Zhang ^[5] ; Daming,Zhu ^[3] ; Yanqing,Wu ^[2] ; Zeying,Yao ^[1] ; Wenqing,Chen ^[6] ; Zhenjiang,Li ^[1] ; Shumin,Yang ^[3] ; Jun,Zhao ^[3] ; Chunpeng,Wang ^[3] ; Renzhong,Tai ^[2]

作者单位： Shanghai Synchrotron Radiation Facility, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201204, China.;Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China.;University of Chinese Academy of Sciences, Beijing 100049, China. ^[1] Shanghai Synchrotron Radiation Facility, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201204, China.;Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China. ^[2] Shanghai Synchrotron Radiation Facility, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201204, China. ^[3] Nanjing University, Nanjing 210093, China. ^[4] Zhejiang Lab, Hangzhou 311101, China. ^[5] Innovation Academy for Microsatellites, Chinese Academy of Sciences, Shanghai 201203, China. ^[6]

关键词 X-ray optics convolutional autoencoder denoising metasurface

DOI 10.1515/nanoph-2023-0402

PMID 39678476

发布时间 2025-01-04

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Nanophotonics (Berlin, Germany)

2023年12卷19期

3793-3805页

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Feature-enhanced X-ray imaging using fused neural network strategy with designable metasurface.

Nanophotonics (Berlin, Germany)

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Feature-enhanced X-ray imaging using fused neural network strategy with designable metasurface.

Nanophotonics (Berlin, Germany)

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Nanophotonics (Berlin, Germany)

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