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Yongyi Shi
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2020 – today
- 2023
- [j7]Yongfeng Gao
, Siming Lu, Yongyi Shi, Shaojie Chang, Hao Zhang, Wei Hou, Lihong Li, Zhengrong Liang:
A Joint-Parameter Estimation and Bayesian Reconstruction Approach to Low-Dose CT. Sensors 23(3): 1374 (2023) - [j6]Yongfeng Gao
, Jiaxing Tan
, Yongyi Shi
, Hao Zhang, Siming Lu, Amit Gupta
, Haifang Li, Michael Reiter, Zhengrong Liang
:
Machine Learned Texture Prior From Full-Dose CT Database via Multi-Modality Feature Selection for Bayesian Reconstruction of Low-Dose CT. IEEE Trans. Medical Imaging 42(11): 3129-3139 (2023) - [i4]Yongyi Shi, Wenjun Xia, Ge Wang, Xuanqin Mou:
Blind CT Image Quality Assessment Using DDPM-derived Content and Transformer-based Evaluator. CoRR abs/2310.03118 (2023) - [i3]Wenjun Xia, Yongyi Shi, Chuang Niu, Wenxiang Cong, Ge Wang:
Diffusion Prior Regularized Iterative Reconstruction for Low-dose CT. CoRR abs/2310.06949 (2023) - 2022
- [i2]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:
Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity. CoRR abs/2205.14029 (2022) - 2021
- [j5]Ge Wang
, Mathews Jacob, Xuanqin Mou
, Yongyi Shi
, Yonina C. Eldar
:
Deep Tomographic Image Reconstruction: Yesterday, Today, and Tomorrow - Editorial for the 2nd Special Issue "Machine Learning for Image Reconstruction". IEEE Trans. Medical Imaging 40(11): 2956-2964 (2021) - 2020
- [j4]Yongyi Shi
, Yongfeng Gao
, Yanbo Zhang
, Junqi Sun, Xuanqin Mou
, Zhengrong Liang
:
Spectral CT Reconstruction via Low-Rank Representation and Region-Specific Texture Preserving Markov Random Field Regularization. IEEE Trans. Medical Imaging 39(10): 2996-3007 (2020)
2010 – 2019
- 2019
- [j3]Yongfeng Gao
, Yongyi Shi, Weiguo Cao, Shu Zhang, Zhengrong Liang:
Energy enhanced tissue texture in spectral computed tomography for lesion classification. Vis. Comput. Ind. Biomed. Art 2: 1-12 (2019) - [p1]Qingsong Yang, Pingkun Yan, Yanbo Zhang, Hengyong Yu
, Yongyi Shi, Xuanqin Mou, Mannudeep K. Kalra, Yi Zhang
, Ling Sun, Ge Wang
:
Generative Low-Dose CT Image Denoising. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 277-297 - 2018
- [j2]Qingsong Yang, Pingkun Yan
, Yanbo Zhang
, Hengyong Yu
, Yongyi Shi, Xuanqin Mou
, Mannudeep K. Kalra, Yi Zhang
, Ling Sun, Ge Wang
:
Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss. IEEE Trans. Medical Imaging 37(6): 1348-1357 (2018) - 2017
- [j1]Yuanyuan Ma, Yongyi Shi, Hong Zhang, Qi Lin, Qianmu Li:
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). 计算机科学 44(3): 237-241 (2017) - [i1]Qingsong Yang, Pingkun Yan, Yanbo Zhang, Hengyong Yu, Yongyi Shi, Xuanqin Mou, Mannudeep K. Kalra, Ge Wang:
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss. CoRR abs/1708.00961 (2017) - 2016
- [c1]Yufei Wang, Chenlong Wang, Jing Wang, Luo Zuo, Yongyi Shi:
A theoretical line losses calculation method of distribution system based on boosting algorithm. ICNC-FSKD 2016: 714-718
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