Yongyi Shi

According to our database, Yongyi Shi authored at least 15 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Low-dose computed tomography perceptual image quality assessment.

Wonkyeong Lee, Fabian Wagner, Adrian Galdran, Yongyi Shi, Wenjun Xia, Ge Wang, Xuanqin Mou, Md. Atik Ahamed, Abdullah Al Zubaer Imran, Ji Eun Oh, Kyungsang Kim, Jong Tak Baek, Dongheon Lee, Boohwi Hong, Philip Tempelman, Donghang Lyu, Adrian Kuiper, Lars van Blokland, Maria Baldeon Calisto, Scott S. Hsieh, Minah Han, Jongduk Baek, Andreas Maier, Adam Wang, Garry Evan Gold, Jang-Hwan Choi

Medical Image Anal., 2025

2024

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

Yongyi Shi, Yongfeng Gao, Qiong Xu, Yang Li, Xuanqin Mou, Zhengrong Liang

IEEE Trans. Medical Imaging, November, 2024

Blind CT Image Quality Assessment Using DDPM-Derived Content and Transformer-Based Evaluator.

Yongyi Shi, Wenjun Xia, Ge Wang, Xuanqin Mou

IEEE Trans. Medical Imaging, October, 2024

2023

Machine Learned Texture Prior From Full-Dose CT Database via Multi-Modality Feature Selection for Bayesian Reconstruction of Low-Dose CT.

Yongfeng Gao, Jiaxing Tan, Yongyi Shi, Hao Zhang, Siming Lu, Amit Gupta, Haifang Li, Michael Reiter, Zhengrong Liang

IEEE Trans. Medical Imaging, November, 2023

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

Yongfeng Gao, Siming Lu, Yongyi Shi, Shaojie Chang, Hao Zhang, Wei Hou, Lihong Li, Zhengrong Liang

Sensors, February, 2023

Diffusion Prior Regularized Iterative Reconstruction for Low-dose CT.

Wenjun Xia, Yongyi Shi, Chuang Niu, Wenxiang Cong, Ge Wang

CoRR, 2023

2022

Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity.

Weiguo Cao, Marc Jason Pomeroy, Zhengrong Liang, Yongfeng Gao, Yongyi Shi, Jiaxing Tan, Fangfang Han, Jing Wang, Jianhua Ma, Hongbin Lu, Almas F. Abbasi, Perry J. Pickhardt

CoRR, 2022

2021

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

Ge Wang, Mathews Jacob, Xuanqin Mou, Yongyi Shi, Yonina C. Eldar

IEEE Trans. Medical Imaging, 2021

2020

Spectral CT Reconstruction via Low-Rank Representation and Region-Specific Texture Preserving Markov Random Field Regularization.

Yongyi Shi, Yongfeng Gao, Yanbo Zhang, Junqi Sun, Xuanqin Mou, Zhengrong Liang

IEEE Trans. Medical Imaging, 2020

2019

Energy enhanced tissue texture in spectral computed tomography for lesion classification.

Yongfeng Gao, Yongyi Shi, Weiguo Cao, Shu Zhang, Zhengrong Liang

Vis. Comput. Ind. Biomed. Art, 2019

Generative Low-Dose CT Image Denoising.

Qingsong Yang, Pingkun Yan, Yanbo Zhang, Hengyong Yu, Yongyi Shi, Xuanqin Mou, Mannudeep K. Kalra, Yi Zhang, Ling Sun, Ge Wang

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018

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, Xuanqin Mou, Mannudeep K. Kalra, Yi Zhang, Ling Sun, Ge Wang

IEEE Trans. Medical Imaging, 2018

2017

基于文化基因算法和最小二乘支持向量机的安全数据特征处理方法 (Feature Processing Approach Based on MA-LSSVM in Safety Data).

Yuanyuan Ma, Yongyi Shi, Hong Zhang, Qi Lin, Qianmu Li

计算机科学, 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, Xuanqin Mou, Mannudeep K. Kalra, Ge Wang

CoRR, 2017

2016

A theoretical line losses calculation method of distribution system based on boosting algorithm.

Yufei Wang, Chenlong Wang, Jing Wang, Luo Zuo, Yongyi Shi

Proceedings of the 12th International Conference on Natural Computation, 2016