| An attention-based deep convolutional neural network for ultra-sparse-view CT reconstruction Y Chan, X Liu, T Wang, J Dai, Y Xie, X Liang Computers in Biology and Medicine 161, 106888, 2023 | 10 | 2023 |
| Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image Denoising X Liu, Y Xie, J Cheng, S Diao, S Tan, X Liang arXiv preprint arXiv:2305.15887, 2023 | 10 | 2023 |
| Learning low‐dose CT degradation from unpaired data with flow‐based model X Liu, X Liang, L Deng, S Tan, Y Xie Medical Physics 49 (12), 7516-7530, 2022 | 10 | 2022 |
| Self-supervised image prior learning with gmm from a single noisy image H Liu, X Liu, J Lu, S Tan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 6 | 2021 |
| Unsupervised CT metal artifact reduction by plugging diffusion priors in dual domains X Liu, Y Xie, S Diao, S Tan, X Liang IEEE Transactions on Medical Imaging, 2024 | 4 | 2024 |
| A statistical deformation model-based data augmentation method for volumetric medical image segmentation W He, C Zhang, J Dai, L Liu, T Wang, X Liu, Y Jiang, N Li, J Xiong, ... Medical Image Analysis 91, 102984, 2024 | 4 | 2024 |
| An unsupervised dual contrastive learning framework for scatter correction in cone-beam CT image T Wang, X Liu, J Dai, C Zhang, W He, L Liu, Y Chan, Y He, H Zhao, Y Xie, ... Computers in Biology and Medicine 165, 107377, 2023 | 2 | 2023 |
| XTransCT: ultra-fast volumetric CT reconstruction using two orthogonal x-ray projections for image-guided radiation therapy via a transformer network C Zhang, L Liu, J Dai, X Liu, W He, Y Chan, Y Xie, F Chi, X Liang Physics in Medicine & Biology 69 (8), 085010, 2024 | 1 | 2024 |
| COVID-19 Detection via Ultra-Low-Dose X-ray Images Enabled by Deep Learning IS Ahmad, N Li, T Wang, X Liu, J Dai, Y Chan, H Liu, J Zhu, W Kong, Z Lu, ... Bioengineering 10 (11), 1314, 2023 | 1 | 2023 |
| Ring artifacts correction for computed tomography image using unsupervised contrastive learning T Wang, X Liu, C Zhang, Y He, Y Chan, Y Xie, X Liang Physics in Medicine & Biology 68 (20), 205008, 2023 | 1 | 2023 |
| Self-supervised multi-magnification feature enhancement for segmentation of hepatocellular carcinoma region in pathological images S Diao, X Liu, X Liu, B Zheng, J He, Y Xie, W Qin Engineering Applications of Artificial Intelligence 133, 108335, 2024 | | 2024 |
Xie Yaoqin (谢耀钦)Shenzhen Institutes of Advanced Technology在 siat.ac.cn 的电子邮件经过验证
