Dr. Guang Han Profile

Dr. Guang Han

at Tiangong Univ

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Author

Publications (5)

Proceedings Article | 20 November 2024 Poster + Paper

Study on the space domain contrast optimization algorithm in laser speckle contrast imaging

Guang Han, Jixin Yuan, Jie Lu, De Li, Qinglong Yang, Jun Zhang, Yuwang Cao

Proceedings Volume 13242, 132421N (2024) https://doi.org/10.1117/12.3035216

KEYWORDS: Speckle, Laser speckle contrast imaging, Blood circulation, Image segmentation, Biological imaging, Visualization, Reflection, Image processing

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Proceedings Article | 20 November 2024 Poster + Paper

The method research on blood flow imaging by laser speckle contrast

Guang Han, Jie Lu, Jixin Yuan, De Li, Qinglong Yang, Huiquan Wang, Xiaolin Min, Yuwang Cao

Proceedings Volume 13242, 132421O (2024) https://doi.org/10.1117/12.3035317

KEYWORDS: Biological imaging, Imaging systems, Blood circulation, Scattering, Reflection, Laser speckle contrast imaging, Laser scattering, Tissues, Skin

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Proceedings Article | 13 June 2024 Paper

Research on continuous monitoring of subdural hematoma based on optical image mapping feature extraction method

Guang Han, Zhonghua Pan, Yuqing Liu, Jinhai Wang, Zhe Zhao, Huiquan Wang

Proceedings Volume 13180, 131800D (2024) https://doi.org/10.1117/12.3033759

KEYWORDS: Image restoration, Feature extraction, Associative arrays, Data modeling, Brain tissue, Image processing, Magnetic resonance imaging, 3D modeling, Signal to noise ratio, Tissue optics

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Proceedings Article | 27 November 2023 Poster + Paper

Effect of deep neural network structure on the accuracy of NIR fluorescence molecular tomography reconstruction

Huiquan Wang, Yuqing Liu, Tianzi Feng, Jianyu Gao, Zhe Zhao, Guang Han, Jinhai Wang, Jinghong Miao

Proceedings Volume 12766, 127660R (2023) https://doi.org/10.1117/12.2686450

KEYWORDS: Image restoration, Data modeling, Neurons, Neural networks, Fluorescence tomography

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Proceedings Article | 9 October 2021 Poster + Presentation + Paper

The measurability analysis of abnormality detection based on DOT method using stack auto-encoding neural network model

Guang Han, Yutong Wang, Xinming Dong, Zhe Zhao, Huiquan Wang, Jinhai Wang, Ximing Li

Proceedings Volume 11896, 118960V (2021) https://doi.org/10.1117/12.2601305

KEYWORDS: Absorbance, Neural networks, Data modeling, Tissue optics, Light sources, Sensors, Brain, Statistical modeling, Analytical research

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