| 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 | 1284 | 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 | 10 | 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 | 8 | 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 | 5 | 2019 |
| 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 | 4 | 2020 |
| 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 | 4 | 2019 |
| 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, 2021 | 3 | 2021 |
| 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 preprint arXiv:2301.06604, 2023 | 2 | 2023 |
| 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 | 2 | 2020 |
| 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 |
| 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 | 1 | 2023 |
| Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity W Cao, MJ Pomeroy, Z Liang, Y Gao, Y Shi, J Tan, F Han, J Wang, J Ma, ... arXiv preprint arXiv:2205.14029, 2022 | 1 | 2022 |
| Hyperparameter Selection for Bayesian Image Reconstruction by Mimicking Physical Crystallization Y Gao, Z Liang, S Lu, Y Shi, S Chang, W Hou 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2020 | 1 | 2020 |
| 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 | 1 | 2019 |
| Low-dose computed tomography image reconstruction via structure tensor total variation regularization J Wu, X Mou, Y Shi, T Bai, Y Chen Medical Imaging 2018: Physics of Medical Imaging 10573, 868-877, 2018 | 1 | 2018 |
| Windmill artifact reduction based on the combined reconstructed image Y Shi, Y Zhang, X Chen, X Mou Medical Imaging 2018: Physics of Medical Imaging 10573, 915-920, 2018 | 1 | 2018 |
| 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 | | 2023 |
| Blind CT Image Quality Assessment Using DDPM-derived Content and Transformer-based Evaluator Y Shi, W Xia, G Wang, X Mou arXiv preprint arXiv:2310.03118, 2023 | | 2023 |
| Evaluation of low-dose CT supervised learning algorithms with transformer-based model observer Y Shi, G Wang, X Mou arXiv preprint arXiv:2212.12838, 2022 | | 2022 |
| An Adaptive Optimum Contrast CT Image Acquisition for Improved Spectrum Estimation-Guided DECT reconstruction S Chang, Y Gao, H Yan, Y Shi, X Mou, Z Liang 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2020 | | 2020 |
Xuanqin MouInstitute of Image Processing, Xi'an Jiaotong UniversityVerified email at mail.xjtu.edu.cn
