Dr. Yongbo Wang Profile

Dr. Yongbo Wang

at Southern Medical Univ

SPIE Involvement:

Author

Publications (16)

Proceedings Article | 7 April 2023 Poster + Paper

Adaptive semi-supervised learning material estimation network in dual-energy CT

Zheng Duan, Jingyi Liao, Yongbo Wang, Danyang Li, Zhaoying Bian, Dong Zeng, Jianhua Ma

Proceedings Volume 12463, 124633F (2023) https://doi.org/10.1117/12.2654207

KEYWORDS: Signal to noise ratio, Machine learning, Image quality, Education and training, Data modeling, Bone, X-rays, Neural networks, Model-based design, Tissues

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Proceedings Article | 7 April 2023 Poster + Paper

Self-attention network for weak-supervised learning multi-material decomposition in dual energy CT

Zheng Duan, Danyang Li, Jingyi Liao, Yongbo Wang, Dong Zeng, Zhaoying Bian, Jianhua Ma

Proceedings Volume 12463, 124633E (2023) https://doi.org/10.1117/12.2654205

KEYWORDS: Education and training, Dual energy imaging, Deep learning, Bone, Tissues, Machine learning, X-ray computed tomography, Visualization, Matrices, Iodine

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Proceedings Article | 7 April 2023 Poster + Paper

Dual-domain projection fidelity network for sparse-view helical CT reconstruction

Zerui Mao, Yongbo Wang, Gaofeng Chen, Manman Zhu, Mingqiang Meng, Zhaoying Bian, Dong Zeng, Jianhua Ma

Proceedings Volume 12463, 124634X (2023) https://doi.org/10.1117/12.2654204

KEYWORDS: Image restoration, X-ray computed tomography, CT reconstruction, Cone beam computed tomography, Reconstruction algorithms, 3D image reconstruction, Computed tomography, 3D image processing, Interpolation, Education and training

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Proceedings Article | 7 April 2023 Poster + Paper

Bayesian ensemble learning with denoiser pool for low-dose CT reconstruction

Mingqiang Meng, Yongbo Wang, Manman Zhu, Zhaoying Bian, Dong Zeng, Jianhua Ma

Proceedings Volume 12463, 124633D (2023) https://doi.org/10.1117/12.2654202

KEYWORDS: Denoising, Image restoration, X-ray computed tomography, Education and training, Computed tomography, CT reconstruction, Neural networks, Performance modeling, Data modeling, Reconstruction algorithms

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Proceedings Article | 7 April 2023 Poster + Paper

VVBP-tensor-based deep neural network for metal artifact reduction in computed tomography

Manman Zhu, Gaofeng Chen, Qisen Zhu, Yuyan Song, Yongbo Wang, Jianhua Ma

Proceedings Volume 12463, 124634Z (2023) https://doi.org/10.1117/12.2654201

KEYWORDS: Metals, Computed tomography, X-ray computed tomography, Image restoration, Computer simulations, Tunable filters, Neural networks, Image segmentation, Interpolation, Image quality

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Proceedings Article | 7 April 2023 Poster + Paper

VVBP-tensor-based deep learning framework for high-attenuation artifact reduction in digital breast tomosynthesis

Manman Zhu, Chen Wang, Zidan Wang, Mingqiang Meng, Yongbo Wang, Jianhua Ma

Proceedings Volume 12463, 124634V (2023) https://doi.org/10.1117/12.2654197

KEYWORDS: Digital breast tomosynthesis, Breast, Image restoration, Reconstruction algorithms, Tunable filters, Computer simulations, Deep learning, 3D modeling, 3D image reconstruction, Monte Carlo methods

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Proceedings Article | 7 April 2023 Poster + Paper

Deep learning-based all-in-one combined visualization strategy for disease screening in CT imaging

Hao Zhou, Jingyi Liao, Zhixiong Zeng, Danyang Li, Yongbo Wang, Zhaoying Bian, Dong Zeng, Jianhua Ma

Proceedings Volume 12463, 124633B (2023) https://doi.org/10.1117/12.2654188

KEYWORDS: Computed tomography, Windows, Tunable filters, Lung, Image filtering, Chest, Image sharpness, Visualization, Deep learning, Diseases and disorders

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Proceedings Article | 18 October 2022 Open Access

Self-supervised nonlocal spectral similarity induced material decomposition network for dual-energy CT

Lei Wang, Yongbo Wang, Zhaoying Bian, Dong Zeng, Jianhua Ma

Proceedings Volume 12304, 123040W (2022) https://doi.org/10.1117/12.2646645

KEYWORDS: Bone, Data modeling, Computed tomography, Signal to noise ratio, Signal attenuation, Model-based design, Image processing, Signal processing, Performance modeling, Medical imaging

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Proceedings Article | 18 October 2022 Open Access

Dual-task learning for low-dose CT simulation and denoising

Mingqiang Meng, Yongbo Wang, Manman Zhu, Xi Tao, Zhaoying Bian, Dong Zeng, Jianhua Ma

Proceedings Volume 12304, 123042O (2022) https://doi.org/10.1117/12.2646640

KEYWORDS: Denoising, X-ray computed tomography, Computed tomography, Computer simulations, Data modeling, Evolutionary algorithms, Convolutional neural networks, Quantum electronics, Gaussian filters, Data acquisition

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Proceedings Article | 18 October 2022 Open Access

Dual domain closed-loop learning for sparse-view CT reconstruction

Yi Guo, Yongbo Wang, Manman Zhu, Dong Zeng, Zhaoying Bian, Xi Tao, Jianhua Ma

Proceedings Volume 12304, 123040M (2022) https://doi.org/10.1117/12.2646639

KEYWORDS: CT reconstruction, Reconstruction algorithms, Computed tomography, Data modeling, Image quality, Image processing, Radiation effects, Network architectures, Associative arrays, Visualization

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Proceedings Article | 16 March 2020 Paper

Average consistency: a superior way of using the composite image to boost dynamic CT reconstruction

Xi Tao, Yongbo Wang, Zixuan Hong, Shuai Fu, Hua Zhang, Jianhua Ma

Proceedings Volume 11312, 113123T (2020) https://doi.org/10.1117/12.2549181

KEYWORDS: Composites, Computed tomography, CT reconstruction, Reconstruction algorithms, Denoising, Brain

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Proceedings Article | 28 May 2019 Paper

Contrast-medium anisotropy-aware tensor total variation model for robust cerebral perfusion CT reconstruction with weak radiation: a preliminary study

Yuanke Zhang, Dong Zeng, Sui Li, Yuting Liao, Zhaoying Bian, Yongbo Wang, Ji He, Xiao Jia, Yuxiang Xing, Deyu Meng, Hongbing Lu, Jianhua Ma

Proceedings Volume 11072, 110720A (2019) https://doi.org/10.1117/12.2534360

KEYWORDS: Reconstruction algorithms, Algorithm development, Computed tomography, CT reconstruction, Matrices, Optimization (mathematics), Biomedical engineering, Mathematical modeling

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Proceedings Article | 1 March 2019 Paper

Revisit FBP: analyze the tensor data after view-by-view backprojection

Xi Tao, Yongbo Wang, Gang Yan, Hua Zhang, Wufan Chen, Jianhua Ma

Proceedings Volume 10948, 109482P (2019) https://doi.org/10.1117/12.2512833

KEYWORDS: Reconstruction algorithms, Computed tomography, X-ray computed tomography, Algorithm development, CT reconstruction

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Proceedings Article | 9 March 2018 Paper

LdCT-Net: low-dose CT image reconstruction strategy driven by a deep dual network

Ji He, Yongbo Wang, Yan Yang, Zhaoying Bian, Dong Zeng, Jian Sun, Zongben Xu, Jianhua Ma

Proceedings Volume 10573, 105733G (2018) https://doi.org/10.1117/12.2293536

KEYWORDS: Reconstruction algorithms, CT reconstruction, X-ray computed tomography, Computed tomography, Imaging systems, Image quality, Image filtering, Optimization (mathematics), Denoising, Matrices

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Proceedings Article | 9 March 2018 Paper

Pseudo dual energy CT imaging using deep learning-based framework: basic material estimation

Yuting Liao, Yongbo Wang, Sui Li, Ji He, Dong Zeng, Zhaoying Bian, Jianhua Ma

Proceedings Volume 10573, 105734N (2018) https://doi.org/10.1117/12.2293237

KEYWORDS: Computed tomography, Dual energy imaging, Gold, Convolution, Bone, Convolutional neural networks, Signal attenuation, Medical imaging, Surgery, Biological research

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Proceedings Article | 7 March 2018 Paper

Blind CT image quality assessment via deep learning strategy: initial study

Sui Li, Ji He, Yongbo Wang, Yuting Liao, Dong Zeng, Zhaoying Bian, Jianhua Ma

Proceedings Volume 10577, 105771A (2018) https://doi.org/10.1117/12.2293240

KEYWORDS: Image quality, Computed tomography, X-ray computed tomography, Convolution, Databases, Data modeling, Medical imaging, Tumors, Image analysis, Visualization

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Showing 5 of 16 publications

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