| Comparison of transferred deep neural networks in ultrasonic breast masses discrimination T Xiao, L Liu, K Li, W Qin, S Yu, Z Li Biomed Research International 2018, 2018 | 159 | 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 | 132 | 2019 |
| Breast mass lesion classification in mammograms by transfer learning F Jiang, H Liu, S Yu, Y Xie International Conference on Bioinformatics and Computational Biology, 59-62, 2017 | 107 | 2017 |
| 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 | 60 | 2017 |
| Estimating PM2. 5 concentrations in Yangtze River Delta region of China using random forest model and the Top-of-Atmosphere reflectance L Yang, H Xu, S Yu Journal of Environmental Management 272, 111061, 2020 | 56 | 2020 |
| A shallow convolutional neural network for blind image sharpness assessment S Yu, S Wu, L Wang, F Jiang, Y Xie, L Li PLOS ONE 12 (5), e0176632, 2017 | 56 | 2017 |
| Feature and contrast enhancement of mammographic image based on multiscale analysis and morphology S Wu, S Yu, Y Yang, Y Xie Computational and Mathematical Methods in Medicine, 2013, 2013 | 53 | 2013 |
| Transferring deep neural networks for the differentiation of mammographic breast lesions S Yu, L Liu, Z Wang, G Dai, Y Xie Science China Technological Sciences 62 (3), 441-447, 2019 | 47 | 2019 |
| Decreased subcortical and increased cortical degree centrality in a nonclinical college student sample with subclinical depressive symptoms: a resting-state fMRI study C Gao, L Wenhua, Y Liu, X Ruan, X Chen, L Liu, S Yu, RCK Chan, X Wei, ... Frontiers in Human Neuroscience 10, 617, 2016 | 42 | 2016 |
| 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 | 41 | 2018 |
| Robustness study of noisy annotation in deep learning based medical image segmentation S Yu, M Chen, E Zhang, J Wu, H Yu, Z Yang, L Ma, X Gu, W Lu Physics in Medicine & Biology 65 (17), 175007, 2020 | 40 | 2020 |
| An edge-directed interpolation method for fetal spine MR images S Yu, R Zhang, S Wu, J Hu, Y Xie Biomedical Engineering Online 12 (1), 102, 2013 | 35 | 2013 |
| Nonrigid registration of lung CT images based on tissue features R Zhang, W Zhou, Y Li, S Yu, Y Xie Computational and Mathematical Methods in Medicine 2013, 2013 | 35 | 2013 |
| A consistency evaluation of signal-to-noise ratio in the quality assessment of human brain magnetic resonance images S Yu, G Dai, Z Wang, L Li, X Wei, Y Xie BMC Medical Imaging 18 (1), 17, 2018 | 32 | 2018 |
| Alterations of regional homogeneity in Parkinson’s disease patients with freezing of gait: A resting-state fMRI study Y Liu, M Li, H Chen, X Wei, G Hu, S Yu, X Ruan, J Zhou, X Pan, Z Li, ... Frontiers in Aging Neuroscience 11, 2019 | 26 | 2019 |
| Altered global synchronizations in patients with Parkinson’s disease: A resting-state fMRI study M Li, Y Liu, H Chen, G Hu, S Yu, X Ruan, Z Luo, X Wei, Y Xie Frontiers in Aging Neuroscience 11, 2019 | 25 | 2019 |
| CNN-GRNN for image sharpness assessment S Yu, F Jiang, L Li, X Xie Asian Conference on Computer Vision, 50-61, 2016 | 23* | 2016 |
| 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 | 21 | 2019 |
| Efficient segmentation of a breast in B-mode ultrasound tomography using three-dimensional GrabCut (GC3D) S Yu, S Wu, L Zhuang, X Wei, M Sak, D Neb, J Hu, Y Xie Sensors 17 (8), 1827, 2017 | 21 | 2017 |
| 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 | 18 | 2021 |
Xie Yaoqin (谢耀钦)Shenzhen Institutes of Advanced Technology在 siat.ac.cn 的电子邮件经过验证
