| 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 |
| TransCT: dual-path transformer for low dose computed tomography Z Zhang, L Yu, X Liang, W Zhao, L Xing Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 88 | 2021 |
| Magnetic resonance image (MRI) synthesis from brain computed tomography (CT) images based on deep learning methods for magnetic resonance (MR)-guided radiotherapy W Li, Y Li, W Qin, X Liang, J Xu, J Xiong, Y Xie Quantitative Imaging in Medicine and Surgery 10 (6), 1223-1236, 2020 | 87 | 2020 |
| A feasibility of respiration prediction based on deep Bi-LSTM for real-time tumor tracking R Wang, X Liang, X Zhu, Y Xie IEEE Access 6, 51262-51268, 2018 | 71 | 2018 |
| Noninvasive prediction of occult peritoneal metastasis in gastric cancer using deep learning Y Jiang, X Liang, W Wang, C Chen, Q Yuan, X Zhang, N Li, H Chen, J Yu, ... JAMA network open 4 (1), e2032269-e2032269, 2021 | 70 | 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 |
| 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 |
| Radiographical assessment of tumour stroma and treatment outcomes using deep learning: a retrospective, multicohort study Y Jiang, X Liang, Z Han, W Wang, S Xi, T Li, C Chen, Q Yuan, N Li, J Yu, ... The Lancet Digital Health 3 (6), e371-e382, 2021 | 36 | 2021 |
| 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 |
| Noninvasive imaging of the tumor immune microenvironment correlates with response to immunotherapy in gastric cancer W Huang, Y Jiang, W Xiong, Z Sun, C Chen, Q Yuan, K Zhou, Z Han, ... Nature Communications 13 (1), 5095, 2022 | 28 | 2022 |
| Intratumoral and peritumoral radiomics of contrast-enhanced CT for prediction of disease-free survival and chemotherapy response in stage II/III gastric cancer J Li, C Zhang, J Wei, P Zheng, H Zhang, Y Xie, J Bai, Z Zhu, K Zhou, ... Frontiers in oncology 10, 552270, 2020 | 24 | 2020 |
| A Deep Learning Framework for Prostate Localization in Cone Beam CT Guided Radiotherapy X Liang, W Zhao, DH Hristov, MK Buyyounouski, SL Hancock, H Bagshaw, ... Medical Physics 47 (9), 4233-4240, 2020 | 24 | 2020 |
| Automated contour propagation of the prostate from pCT to CBCT images via deep unsupervised learning X Liang, JE Bibault, T Leroy, A Escande, W Zhao, Y Chen, ... Medical physics 48 (4), 1764-1770, 2021 | 23 | 2021 |
| 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 48 (10), 5794-5803, 2021 | 19 | 2021 |
| 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 |
| Radiomics signature based on computed tomography images for the preoperative prediction of lymph node metastasis at individual stations in gastric cancer: A multicenter study Z Sun, Y Jiang, C Chen, H Zheng, W Huang, B Xu, W Tang, Q Yuan, ... Radiotherapy and Oncology 165, 179-190, 2021 | 15 | 2021 |
| A deep unsupervised learning model for artifact correction of pelvis cone-beam CT G Dong, C Zhang, X Liang, L Deng, Y Zhu, X Zhu, X Zhou, L Song, X Zhao, ... Frontiers in Oncology 11, 686875, 2021 | 13 | 2021 |
Xie Yaoqin (谢耀钦)Shenzhen Institutes of Advanced TechnologyEmail confirmado em siat.ac.cn
