Dr. Yongyi Shi Profile

Dr. Yongyi Shi

at Rensselaer Polytechnic Institute

SPIE Involvement:

Author

Publications (8)

Proceedings Article | 17 October 2024 Presentation + Paper

Interior photon-counting CT data denoising via multi-agent reinforcement learning

Md Sayed Tanveer, Christopher Wiedeman, Yongyi Shi, Hengyong Yu, Ge Wang

Proceedings Volume 13152, 131520C (2024) https://doi.org/10.1117/12.3029551

KEYWORDS: Denoising, Image restoration, Data modeling, Computed tomography, Reconstruction algorithms

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Proceedings Article | 16 March 2020 Paper

Prior knowledge driven machine learning approach for PET sinogram data denoising

Siming Lu, Jiaxing Tan, Yongfeng Gao, Yongyi Shi, Zhengrong Liang

Proceedings Volume 11312, 113124A (2020) https://doi.org/10.1117/12.2549900

KEYWORDS: Positron emission tomography, Denoising, Machine learning, Convolution, Data modeling, Image quality, Medical imaging, Imaging systems, Signal to noise ratio, Sensors

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Proceedings Article | 16 March 2020 Presentation + Paper

Tensor convolutional neural network architecture for spectral CT reconstruction

Yongyi Shi, Yongfeng Gao, Xuanqin Mou, Zhengrong Liang

Proceedings Volume 11312, 1131221 (2020) https://doi.org/10.1117/12.2549289

KEYWORDS: CT reconstruction, Tissues, Convolutional neural networks, Image enhancement, Reconstruction algorithms, Lung, Convolution, Associative arrays, Neurons, Optical computing

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SPIE Journal Paper | 25 February 2020

Constructing a tissue-specific texture prior by machine learning from previous full-dose scan for Bayesian reconstruction of current ultralow-dose CT images

Yongfeng Gao, Jiaxing Tan, Yongyi Shi, Siming Lu, Amit Gupta, Haifang Li, Zhengrong Liang

JMI, Vol. 7, Issue 03, 032502, (February 2020) https://doi.org/10.1117/12.10.1117/1.JMI.7.3.032502

KEYWORDS: Tissues, Data modeling, Magnetorheological finishing, Machine learning, Image restoration, Reconstruction algorithms, Lung, Computed tomography, Performance modeling, Image quality

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Proceedings Article | 28 May 2019 Paper

A machine learning approach to construct a tissue-specific texture prior from previous full-dose CT for Bayesian reconstruction of current ultralow-dose CT images

Yongfeng Gao, Jiaxing Tan, Yongyi Shi, Siming Lu, Zhengrong Liang

Proceedings Volume 11072, 1107204 (2019) https://doi.org/10.1117/12.2534441

KEYWORDS: Tissues, Computed tomography, Data modeling, Machine learning, Performance modeling, Lung, Reconstruction algorithms

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Proceedings Article | 9 March 2018 Paper

Windmill artifact reduction based on the combined reconstructed image

Yongyi Shi, Yanbo Zhang, Xiaogang Chen, Xuanqin Mou

Proceedings Volume 10573, 105733J (2018) https://doi.org/10.1117/12.2293578

KEYWORDS: CT reconstruction, Image processing, Image resolution, Computed tomography, Super resolution, X-ray computed tomography

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Proceedings Article | 9 March 2018 Paper

Low-dose computed tomography image reconstruction via structure tensor total variation regularization

Junfeng Wu, Xuanqin Mou, Yongyi Shi, Ti Bai, Yang Chen

Proceedings Volume 10573, 105733D (2018) https://doi.org/10.1117/12.2293266

KEYWORDS: Reconstruction algorithms, X-ray computed tomography, Computed tomography, Image restoration, Algorithm development, Photons, Neuroimaging, Brain, Image quality, Image processing

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Proceedings Article | 4 October 2016 Presentation + Paper

Dictionary learning based statistical interior reconstruction without a prior knowledge

Yongyi Shi, Xuanqin Mou

Proceedings Volume 9967, 99671N (2016) https://doi.org/10.1117/12.2236451

KEYWORDS: Tomography, Associative arrays, Image quality, Error analysis, Image analysis, Lung, X-rays, Reconstruction algorithms, Detection and tracking algorithms, Sensors

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Showing 5 of 8 publications

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