石勇义｜中南大学｜学者主页

2026

Manifold topological deep learning for biomedical data

Xiang Liu, Zhe Su, Yongyi Shi, Yi-Ying Tong, Ge Wang, Guo-Wei Wei

Nature Communications

DOI

2026

Anatomically constrained liver CT anomaly detection using healthy priors with diffusion-based inpainting

Eshan G. Joshi, Yongyi Shi, Albert Montillo, Matthew A. Lewis, R. Peshock, Ge Wang, Samuel Achilefu

Research Square

DOI

2025

Zero-Shot Low-dose CT Denoising via Sinogram Flicking

Yongyi Shi, Ge Wang

arXiv.org

DOI

2025

Privacy-Preserving Latent Diffusion-Based Synthetic Medical Image Generation

Yongyi Shi, Wenjun Xia, Chuang Niu, Christopher Wiedeman, Ge Wang

IEEE Transactions on Medical Imaging

DOI

2025

ZS4D: Zero-Shot Self-Similarity-Steered Denoiser for Volumetric Photon-Counting CT

Yongyi Shi, Chuang Niu, Wenjun Xia, Yuxuan Liang, Lin Fu, Bruno De Man, Ge Wang

IEEE Transactions on Radiation and Plasma Medical Sciences

DOI

2025

Few-Shot Generation of Brain Tumors for Secure and Fair Data Sharing

Yongyi Shi, Ge Wang

arXiv.org

DOI

2025

Xray2Xray: World Model from Chest X-rays with Volumetric Context

Ze-Fan Yang, Xin Song, Xuanang Xu, Yongyi Shi, Ge Wang, M. Kalra, Pingkun Yan

arXiv.org

DOI

2025

Generative Inpainting-Based Anomaly Detection for CT Liver Tumor Detection

Yongyi Shi, Chuang Niu, Amber L. Simpson, Bruno De Man, R. Do, Ge Wang

IEEE Transactions on Radiation and Plasma Medical Sciences

DOI

2024

Lesion Classification by Model-Based Feature Extraction: A Differential Affine Invariant Model of Soft Tissue Elasticity in CT Images

W. Cao, M. Pomeroy, Zheng-Rong Liang, Yongfeng Gao, Yongyi Shi, Jiaxing Tan, Fangfang Han, Jing Wang, Jian-Hua Ma, Hong-Bing Lu, A. Abbasi, Perry J. Pickhardt

Journal of Imaging Informatics in Medicine

DOI

2024

Learned Tensor Neural Network Texture Prior for Photon-Counting CT Reconstruction

Yongyi Shi, Yong-Feng Gao, Qiong Xu, Yang Li, Chao-Yang Zhang, X. Mou, Zhengrong Liang

IEEE Transactions on Medical Imaging

DOI

2024

Low-dose computed tomography perceptual image quality assessment

Won-Yong Lee, Fabian Wagner, A. Galdran, Yongyi Shi, Wenjun Xia, Ge Wang, X. Mou, Md. Atik Ahamed, Abdullah-Al-Zubaer Imran, Jieun Oh, Kyungsang Kim, J. Baek, Dongheon Lee, Boohwi Hong, Philip Tempelman, Donghang Lyu, Adrian Kuiper, Lars van Blokland, Maria Baldeon Calisto, Scott S. Hsieh, Min-Ah Han, J. Baek, Andreas Maier, Adam S. Wang, Garry E. Gold, Jang-Hwan Choi

Medical Image Anal.

DOI

2024

Deep-silicon photon-counting x-ray projection denoising through reinforcement learning

Md Sayed Tanveer, Christopher Wiedeman, Meng-Zhou Li, Yongyi Shi, Bruno De Man, Jonathan S. Maltz, Ge Wang

Journal of X-Ray Science and Technology

DOI

2024

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

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

Optical Engineering + Applications

DOI

2023

Diffusion Prior Regularized Iterative Reconstruction for Low-dose CT

Wenjun Xia, Yongyi Shi, Chuang Niu, W. Cong, Ge Wang

arXiv.org

DOI

2023

A Joint-Parameter Estimation and Bayesian Reconstruction Approach to Low-Dose CT

Yong-Feng Gao, Siming Lu, Yongyi Shi, Shaojie Chang, H. Zhang, W. Hou, Li-Hong C. Li, Zhengrong Liang

Italian National Conference on Sensors

DOI

2023

Blind CT Image Quality Assessment Using DDPM-derived Content and Transformer-based Evaluator

Yongyi Shi, Wenjun Xia, Ge Wang, X. Mou

IEEE Transactions on Medical Imaging

DOI

2022

Evaluation of low-dose CT supervised learning algorithms with transformer-based model observer

Yongyi Shi, Wang Ge, X. Mou

2021

Deep Tomographic Image Reconstruction: Yesterday, Today, and Tomorrow - Editorial for the 2nd Special Issue "Machine Learning for Image Reconstruction"

Ge Wang, M. Jacob, X. Mou, Yongyi Shi, Yonina C. Eldar

IEEE Trans. Medical Imaging

DOI

2021

Machine learned texture prior from full-dose CT database via multi-modality feature selection for Bayesian reconstruction of low-dose CT

Yong-Feng Gao, Jiaxing Tan, Yongyi Shi, Hao Zhang, Siming Lu, Amit Gupta, Haifang Li, M. Reiter, Zhengrong Liang

IEEE Transactions on Medical Imaging

DOI

2020

An Adaptive Optimum Contrast CT Image Acquisition for Improved Spectrum Estimation-Guided DECT reconstruction

Shaojie Chang, Yong-Feng Gao, Hao Yan, Yongyi Shi, X. Mou, Zhengrong Liang

Nuclear Science Symposium and Medical Imaging Conference

DOI

2020

Hyperparameter Selection for Bayesian Image Reconstruction by Mimicking Physical Crystallization

Yong-Feng Gao, Zhengrong Liang, Siming Lu, Yongyi Shi, Shaojie Chang, W. Hou

Nuclear Science Symposium and Medical Imaging Conference

DOI

2020

Prior knowledge driven machine learning approach for PET sinogram data denoising

Siming Lu, Jiaxing Tan, Yong-Feng Gao, Yongyi Shi, Zhengrong Liang

Medical Imaging 2020: Physics of Medical Imaging

DOI

2020

Spectral CT Reconstruction via Low-rank Representation and Region-specific Texture Preserving Markov Random Field Regularization

Yongyi Shi, Yong-Feng Gao, Yanbo Zhang, Junqi Sun, X. Mou, Zhengrong Liang

IEEE Transactions on Medical Imaging

DOI

2020

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

Yong-Feng Gao, Jiaxing Tan, Yongyi Shi, Siming Lu, Amit Gupta, Haifang Li, Zhengrong Liang

Journal of Medical Imaging

DOI

2020

Tensor convolutional neural network architecture for spectral CT reconstruction

Yongyi Shi, Yong-Feng Gao, X. Mou, Zhengrong Liang

DOI

2019

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

Yong-Feng Gao, Jiaxing Tan, Yongyi Shi, Siming Lu, Zhengrong Liang

15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine

DOI

2019

Spectral CT Inspired Data Engineering for Colon Polyp Classification

Yong-Feng Gao, Weiguo Cao, Shu Zhang, Yongyi Shi, M. Pomeroy, M. Barish, P. Pickhardt, Zhengrong Liang

Nuclear Science Symposium and Medical Imaging Conference

DOI

2019

Generative Low-Dose CT Image Denoising

Qingsong Yang, Pingkun Yan, Yanbo Zhang, Hengyong Yu, Yongyi Shi, X. Mou, M. Kalra, Yi Zhang, Ling Sun, Ge Wang

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

DOI

2019

Energy enhanced tissue texture in spectral computed tomography for lesion classification

Yong-Feng Gao, Yongyi Shi, W. Cao, Shu Zhang, Zhengrong Liang

Visual Computing for Industry, Biomedicine, and Art

DOI

2018

Windmill artifact reduction based on the combined reconstructed image

Yongyi Shi, Yanbo Zhang, Xiaogang Chen, X. Mou

Medical Imaging

DOI

2018

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

Jun-Feng Wu, X. Mou, Yongyi Shi, T. Bai, Yang Chen

Medical Imaging

DOI

2017

基于字典学习与纵向TV约束的低剂量螺旋CT重建

石勇义，牟轩沁

《中国体视学与图像分析》

2017

Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss

Qingsong Yang, Pingkun Yan, Yanbo Zhang, Hengyong Yu, Yongyi Shi, X. Mou, M. Kalra, Yi Zhang, Ling Sun, Ge Wang

IEEE Transactions on Medical Imaging

DOI

2017

Dictionary Learning based Low Dose Helical CT Reconstruction With Longitudinal TV Constraint

Yongyi Shi, Hengyong Yu, Yanbo Zhang, R. Liu, M. Kalra, Ge Wang, X. Mou

2016

Dictionary learning based statistical interior reconstruction without a prior knowledge

Yongyi Shi, X. Mou

Optical Engineering + Applications

DOI

精选作品

期刊论文

Manifold topological deep learning for biomedical data

Anatomically constrained liver CT anomaly detection using healthy priors with diffusion-based inpainting

Zero-Shot Low-dose CT Denoising via Sinogram Flicking

Privacy-Preserving Latent Diffusion-Based Synthetic Medical Image Generation

ZS4D: Zero-Shot Self-Similarity-Steered Denoiser for Volumetric Photon-Counting CT

Few-Shot Generation of Brain Tumors for Secure and Fair Data Sharing

Xray2Xray: World Model from Chest X-rays with Volumetric Context

Generative Inpainting-Based Anomaly Detection for CT Liver Tumor Detection

Lesion Classification by Model-Based Feature Extraction: A Differential Affine Invariant Model of Soft Tissue Elasticity in CT Images

Learned Tensor Neural Network Texture Prior for Photon-Counting CT Reconstruction

Low-dose computed tomography perceptual image quality assessment

Deep-silicon photon-counting x-ray projection denoising through reinforcement learning

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

Diffusion Prior Regularized Iterative Reconstruction for Low-dose CT

A Joint-Parameter Estimation and Bayesian Reconstruction Approach to Low-Dose CT

Blind CT Image Quality Assessment Using DDPM-derived Content and Transformer-based Evaluator

Evaluation of low-dose CT supervised learning algorithms with transformer-based model observer

Deep Tomographic Image Reconstruction: Yesterday, Today, and Tomorrow - Editorial for the 2nd Special Issue "Machine Learning for Image Reconstruction"

Machine learned texture prior from full-dose CT database via multi-modality feature selection for Bayesian reconstruction of low-dose CT

An Adaptive Optimum Contrast CT Image Acquisition for Improved Spectrum Estimation-Guided DECT reconstruction

Hyperparameter Selection for Bayesian Image Reconstruction by Mimicking Physical Crystallization

Prior knowledge driven machine learning approach for PET sinogram data denoising

Spectral CT Reconstruction via Low-rank Representation and Region-specific Texture Preserving Markov Random Field Regularization

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

Tensor convolutional neural network architecture for spectral CT reconstruction

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

Spectral CT Inspired Data Engineering for Colon Polyp Classification

Generative Low-Dose CT Image Denoising

Energy enhanced tissue texture in spectral computed tomography for lesion classification

Windmill artifact reduction based on the combined reconstructed image

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

基于字典学习与纵向TV约束的低剂量螺旋CT重建

Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss

Dictionary Learning based Low Dose Helical CT Reconstruction With Longitudinal TV Constraint

Dictionary learning based statistical interior reconstruction without a prior knowledge

会议论文

基于比例通道表达的能谱CT多物质分解

预印本

CT-based Anomaly Detection of Liver Tumors Using Generative Diffusion Prior

Enabling Competitive Performance of Medical Imaging with Diffusion Model-generated Images without Privacy Leakage

Task-based Assessment of Deep Networks for Sinogram Denoising with A Transformer-based Observer

研究方向