| A sparse-view CT reconstruction method based on combination of DenseNet and deconvolution Z Zhang, X Liang, X Dong, Y Xie, G Cao IEEE transactions on medical imaging 37 (6), 1407-1417, 2018 | 363 | 2018 |
| A technical review of convolutional neural network-based mammographic breast cancer diagnosis L Zou, S Yu, T Meng, Z Zhang, X Liang, Y Xie Computational and mathematical methods in medicine 2019, 2019 | 129 | 2019 |
| Deep sinogram completion with image prior for metal artifact reduction in CT images L Yu, Z Zhang, X Li, L Xing IEEE transactions on medical imaging 40 (1), 228-238, 2020 | 103 | 2020 |
| TransCT: Dual-path Transformer for Low Dose Computed Tomography Z Zhang, L Yu, X Liang, W Zhao, L Xing International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 88 | 2021 |
| Iterative image-domain ring artifact removal in cone-beam CT X Liang, Z Zhang, T Niu, S Yu, S Wu, Z Li, H Zhang, Y Xie Physics in Medicine & Biology 62 (13), 5276, 2017 | 58 | 2017 |
| Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study Y Jiang*, Z Zhang*, Q Yuan*, W Wang*, H Wang, T Li, W Huang, J Xie, ... The Lancet Digital Health 4 (5), e340-e350, 2022 | 56 | 2022 |
| Can signal-to-noise ratio perform as a baseline indicator for medical image quality assessment Z Zhang, G Dai, X Liang, S Yu, L Li, Y Xie IEEE Access 6, 11534-11543, 2018 | 38 | 2018 |
| Incorporating the hybrid deformable model for improving the performance of abdominal CT segmentation via multi-scale feature fusion network X Liang, N Li, Z Zhang, J Xiong, S Zhou, Y Xie Medical Image Analysis 73, 102156, 2021 | 34 | 2021 |
| Metal artifact reduction in 2D CT images with self-supervised cross-domain learning L Yu, Z Zhang, X Li, H Ren, W Zhao, L Xing Physics in Medicine & Biology, 2021 | 25 | 2021 |
| Proco: Prototype-aware contrastive learning for long-tailed medical image classification Z Yang, J Pan, Y Yang, X Shi, HY Zhou, Z Zhang, C Bian International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 22 | 2022 |
| Scatter correction for a clinical cone‐beam CT system using an optimized stationary beam blocker in a single scan X Liang, Y Jiang, W Zhao, Z Zhang, C Luo, J Xiong, S Yu, X Yang, J Sun, ... Medical physics 46 (7), 3165-3179, 2019 | 20 | 2019 |
| Artificial intelligence in image-guided radiotherapy: a review of treatment target localization W Zhao, L Shen, MT Islam, W Qin, Z Zhang, X Liang, G Zhang, S Xu, X Li Quantitative Imaging in Medicine and Surgery 11 (12), 4881, 2021 | 19 | 2021 |
| Noise2Context: Context‐assisted Learning 3D Thin‐layer for Low Dose CT Z Zhang, X Liang, W Zhao, L Xing Medical Physics, 2021 | 19 | 2021 |
| Topological EEG nonlinear dynamics analysis for emotion recognition Y Yan, X Wu, C Li, Y He, Z Zhang, H Li, A Li, L Wang IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2022 | 16 | 2022 |
| Self-supervised CT super-resolution with hybrid model Z Zhang, S Yu, W Qin, X Liang, Y Xie, G Cao Computers in Biology and Medicine 138, 104775, 2021 | 16 | 2021 |
| Weakly supervised framework for cancer region detection of hepatocellular carcinoma in whole-slide pathologic images based on multiscale attention convolutional neural network S Diao, Y Tian, W Hu, J Hou, R Lambo, Z Zhang, Y Xie, X Nie, F Zhang, ... The American journal of pathology 192 (3), 553-563, 2022 | 15 | 2022 |
| matFR: a matlab toolbox for feature ranking Z Zhang, X Liang, W Qin, S Yu, Y Xie Bioinformatics, 2020 | 12 | 2020 |
| A novel design of ultrafast micro-CT system based on carbon nanotube: A feasibility study in phantom Z Zhang, S Yu, X Liang, Y Zhu, Y Xie Physica Medica 32 (10), 1302-1307, 2016 | 11 | 2016 |
| Shading correction for volumetric CT using deep convolutional neural network and adaptive filter X Liang, N Li, Z Zhang, S Yu, W Qin, Y Li, S Chen, H Zhang, Y Xie Quantitative imaging in medicine and surgery 9 (7), 1242, 2019 | 10 | 2019 |
| Computecovid19+: accelerating Covid-19 diagnosis and monitoring via high-performance deep learning on CT images G Goel, A Gondhalekar, J Qi, Z Zhang, G Cao, W Feng Proceedings of the 50th International Conference on Parallel Processing, 1-11, 2021 | 9 | 2021 |
Xie Yaoqin (谢耀钦)Shenzhen Institutes of Advanced TechnologyVerified email at siat.ac.cn
