| Low-dose CT image denoising using a generative adversarial network with Wasserstein distance and perceptual loss Q Yang, P Yan, Y Zhang, H Yu, Y Shi, X Mou, MK Kalra, Y Zhang, L Sun, ... IEEE transactions on medical imaging 37 (6), 1348-1357, 2018 | 1653 | 2018 |
| Deep tomographic image reconstruction: yesterday, today, and tomorrow—editorial for the 2nd special issue “Machine Learning for Image Reconstruction” G Wang, M Jacob, X Mou, Y Shi, YC Eldar IEEE transactions on medical imaging 40 (11), 2956-2964, 2021 | 25 | 2021 |
| Spectral CT reconstruction via low-rank representation and region-specific texture preserving Markov random field regularization Y Shi, Y Gao, Y Zhang, J Sun, X Mou, Z Liang IEEE transactions on medical imaging 39 (10), 2996-3007, 2020 | 16 | 2020 |
| Diffusion prior regularized iterative reconstruction for low-dose CT W Xia, Y Shi, C Niu, W Cong, G Wang arXiv preprint arXiv:2310.06949, 2023 | 8 | 2023 |
| Conversion of the mayo LDCT data to synthetic equivalent through the diffusion model for training denoising networks with a theoretically perfect privacy Y Shi, G Wang arXiv e-prints, arXiv: 2301.06604, 2023 | 7 | 2023 |
| Constructing a tissue-specific texture prior by machine learning from previous full-dose scan for Bayesian reconstruction of current ultralow-dose CT images Y Gao, J Tan, Y Shi, S Lu, A Gupta, H Li, Z Liang Journal of Medical Imaging 7 (3), 032502-032502, 2020 | 6 | 2020 |
| 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 Y Gao, J Tan, Y Shi, S Lu, Z Liang 15th International Meeting on Fully Three-Dimensional Image Reconstruction …, 2019 | 6 | 2019 |
| Energy enhanced tissue texture in spectral computed tomography for lesion classification Y Gao, Y Shi, W Cao, S Zhang, Z Liang Visual Computing for Industry, Biomedicine, and Art 2, 1-12, 2019 | 5 | 2019 |
| Prior knowledge driven machine learning approach for PET sinogram data denoising S Lu, J Tan, Y Gao, Y Shi, Z Liang Medical Imaging 2020: Physics of Medical Imaging 11312, 1064-1068, 2020 | 4 | 2020 |
| Lesion Classification by Model-Based Feature Extraction: A Differential Affine Invariant Model of Soft Tissue Elasticity in CT Images W Cao, MJ Pomeroy, Z Liang, Y Gao, Y Shi, J Tan, F Han, J Wang, J Ma, ... Journal of Imaging Informatics in Medicine, 1-15, 2024 | 3 | 2024 |
| Blind ct image quality assessment using ddpm-derived content and transformer-based evaluator Y Shi, W Xia, G Wang, X Mou IEEE Transactions on Medical Imaging, 2024 | 3 | 2024 |
| A joint-parameter estimation and Bayesian reconstruction approach to low-dose CT Y Gao, S Lu, Y Shi, S Chang, H Zhang, W Hou, L Li, Z Liang Sensors 23 (3), 1374, 2023 | 3 | 2023 |
| Enabling Competitive Performance of Medical Imaging with Diffusion Model-generated Images without Privacy Leakage Y Shi, W Xia, C Niu, C Wiedeman, G Wang arXiv preprint arXiv:2301.06604, 2023 | 3 | 2023 |
| Low-dose computed tomography perceptual image quality assessment W Lee, F Wagner, A Galdran, Y Shi, W Xia, G Wang, X Mou, MA Ahamed, ... Medical Image Analysis 99, 103343, 2025 | 2 | 2025 |
| Learned tensor neural network texture prior for photon-counting CT reconstruction Y Shi, Y Gao, Q Xu, Y Li, C Zhang, X Mou, Z Liang IEEE transactions on medical imaging, 2024 | 2 | 2024 |
| Deep-silicon photon-counting x-ray projection denoising through reinforcement learning MS Tanveer, C Wiedeman, M Li, Y Shi, B De Man, JS Maltz, G Wang Journal of X-Ray Science and Technology 32 (2), 173-205, 2024 | 2 | 2024 |
| Machine learned texture prior from full-dose CT database via multi-modality feature selection for Bayesian reconstruction of low-dose CT Y Gao, J Tan, Y Shi, H Zhang, S Lu, A Gupta, H Li, M Reiter, Z Liang IEEE transactions on medical imaging 42 (11), 3129-3139, 2021 | 2 | 2021 |
| Spectral CT inspired data engineering for colon polyp classification Y Gao, W Cao, S Zhang, Y Shi, MJ Pomeroy, MA Barish, PJ Pickhardt, ... 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2019 | 2 | 2019 |
| Generative low-dose CT image denoising Q Yang, P Yan, Y Zhang, H Yu, Y Shi, X Mou, MK Kalra, Y Zhang, L Sun, ... Deep Learning and Convolutional Neural Networks for Medical Imaging and …, 2019 | 2 | 2019 |
| Interior photon-counting CT data denoising via multi-agent reinforcement learning MS Tanveer, C Wiedeman, Y Shi, H Yu, G Wang Developments in X-Ray Tomography XV 13152, 131520C, 2024 | 1 | 2024 |
Xuanqin MouInstitute of Image Processing, Xi'an Jiaotong UniversityVerified email at mail.xjtu.edu.cn
