Yongyi Shi

发表

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

X. Mou, Zhengrong Liang, Shaojie Chang, 2020, 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).

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

X. Mou, Ge Wang, Yongyi Shi, 2022, 2212.12838.

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

X. Mou, Ge Wang, Yongyi Shi, 2022, 2212.12838.

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

Xuanqin Mou, Pingkun Yan, Hengyong Yu, 2017, IEEE Transactions on Medical Imaging.

Generative Low-Dose CT Image Denoising

Xuanqin Mou, Pingkun Yan, Mannudeep K. Kalra, 2019, Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics.

Conversion of the Mayo LDCT Data to Synthetic Equivalent through the Diffusion Model for Training Denoising Networks with a Theoretically Perfect Privacy

Ge Wang, Yongyi Shi, 2023, 2301.06604.

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

Zhengrong Liang, Haifang Li, Hao Zhang, 2021, IEEE Transactions on Medical Imaging.

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, 2020, Journal of medical imaging.

Energy enhanced tissue texture in spectral computed tomography for lesion classification

Zhengrong Liang, Yongfeng Gao, Yongyi Shi, 2019, Visual Computing for Industry, Biomedicine, and Art.

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

Zhengrong Liang, Jiaxing Tan, Yongfeng Gao, 2019, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine.

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

H. Zhang, Zhengrong Liang, Shaojie Chang, 2023, Sensors.

Hyperparameter Selection for Bayesian Image Reconstruction by Mimicking Physical Crystallization

Zhengrong Liang, Shaojie Chang, W. Hou, 2020, Nuclear Science Symposium and Medical Imaging Conference.

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

Xuanqin Mou, Yanbo Zhang, Zhengrong Liang, 2020, IEEE Transactions on Medical Imaging.

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

Marc J. Pomeroy, Zhengrong Liang, Jianhua Ma, 2022, ArXiv.

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

Xuanqin Mou, Ti Bai, Junfeng Wu, 2018, Medical Imaging.

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

Yonina C. Eldar, Mathews Jacob, Xuanqin Mou, 2021, IEEE Trans. Medical Imaging.

Spectral CT Inspired Data Engineering for Colon Polyp Classification

Marc J. Pomeroy, Zhengrong Liang, P. Pickhardt, 2019, Nuclear Science Symposium and Medical Imaging Conference.

Diffusion Prior Regularized Iterative Reconstruction for Low-dose CT

W. Cong, Chuang Niu, Yongyi Shi, 2023, ArXiv.

Energy enhanced tissue texture in spectral computed tomography for lesion classification

Shu Zhang, Yongyi Shi, Zhengrong Liang, 2019, Visual Computing for Industry, Biomedicine, and Art.