Prof. Hairong Zheng Profile

Prof. Hairong Zheng

at SIAT CAS

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Author

Publications (5)

Proceedings Article | 7 April 2023 Poster + Paper

Low-dose CT imaging performance of U-Net for varied spatial resolutions

Xin Zhang, Ting Su, Hairong Zheng, Dong Liang, Yongshuai Ge

Proceedings Volume 12463, 1246337 (2023) https://doi.org/10.1117/12.2654163

KEYWORDS: Computed tomography, Lawrencium, Spatial resolution, Image resolution, Education and training, X-ray computed tomography, Biomedical optics, Biological imaging, X-rays, Windows

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Proceedings Article | 16 March 2020 Paper

Dual-energy CT reconstruction using deep mutual-domain knowledge for basis decomposition and denoising

Yikun Zhang, Ting Su, Jiongtao Zhu, Yang Chen, Hairong Zheng, Dong Liang, Yongshuai Ge

Proceedings Volume 11312, 113124C (2020) https://doi.org/10.1117/12.2547736

KEYWORDS: X-ray computed tomography, CT reconstruction, Dual energy imaging

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Proceedings Article | 16 March 2020 Paper

Low-dose CT reconstruction with simultaneous sinogram and image domain denoising by deep neural network

Jiongtao Zhu, Ting Su, Xiaolei Deng, Xindong Sun, Hairong Zheng, Dong Liang, Yongshuai Ge

Proceedings Volume 11312, 1131241 (2020) https://doi.org/10.1117/12.2547738

KEYWORDS: X-ray computed tomography, Denoising, Computed tomography, CT reconstruction, Neural networks, Reconstruction algorithms

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Proceedings Article | 16 March 2020 Paper

Generalized iterative sparse-view CT reconstruction with deep neural network

Ting Su, Xindong Sun, Xiaolei Deng, Hairong Zheng, Dong Liang, Yongshuai Ge

Proceedings Volume 11312, 1131207 (2020) https://doi.org/10.1117/12.2547739

KEYWORDS: Reconstruction algorithms, X-ray computed tomography, Computed tomography, CT reconstruction, Neural networks

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Proceedings Article | 1 March 2019 Paper

Wasserstein generative adversarial networks for motion artifact removal in dental CT imaging

Changhui Jiang, Qiyang Zhang, Yongshuai Ge, Dong Liang, Yongfeng Yang, Xin Liu, Hairong Zheng, Zhanli Hu

Proceedings Volume 10948, 1094836 (2019) https://doi.org/10.1117/12.2511818

KEYWORDS: Computed tomography, Gallium nitride, X-ray computed tomography, Image quality, Neural networks, Head, Image quality standards, Biomedical optics, Data acquisition, Algorithm development

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