| Can peritumoral radiomics increase the efficiency of the prediction for lymph node metastasis in clinical stage T1 lung adenocarcinoma on CT? X Wang, X Zhao, Q Li, W Xia, Z Peng, R Zhang, Q Li, J Jian, W Wang, ... European radiology, 1-10, 2019 | 139 | 2019 |
| Preoperative radiomic signature based on multiparametric magnetic resonance imaging for noninvasive evaluation of biological characteristics in rectal cancer X Meng, W Xia, P Xie, R Zhang, W Li, M Wang, F Xiong, Y Liu, X Fan, ... European radiology 29 (6), 3200-3209, 2019 | 135 | 2019 |
| Multiple supervised residual network for osteosarcoma segmentation in CT images R Zhang, L Huang, W Xia, B Zhang, B Qiu, X Gao Computerized Medical Imaging and Graphics 63, 1-8, 2018 | 83 | 2018 |
| MSFCN-multiple supervised fully convolutional networks for the osteosarcoma segmentation of CT images L Huang, W Xia, B Zhang, B Qiu, X Gao Computer methods and programs in biomedicine 143, 67-74, 2017 | 77 | 2017 |
| Deep learning–based fully automated detection and segmentation of lymph nodes on multiparametric-mri for rectal cancer: A multicentre study X Zhao, P Xie, M Wang, W Li, PJ Pickhardt, W Xia, F Xiong, R Zhang, ... EBioMedicine 56, 2020 | 70 | 2020 |
| MR image-based radiomics to differentiate type Ι and type ΙΙ epithelial ovarian cancers J Jian, Y Li, PJ Pickhardt, W Xia, Z He, R Zhang, S Zhao, X Zhao, S Cai, ... European radiology 31, 403-410, 2021 | 64 | 2021 |
| A cross-modal 3D deep learning for accurate lymph node metastasis prediction in clinical stage T1 lung adenocarcinoma X Zhao, X Wang, W Xia, Q Li, L Zhou, Q Li, R Zhang, J Cai, J Jian, L Fan, ... Lung Cancer 145, 10-17, 2020 | 56 | 2020 |
| Preoperative prediction of microvascular invasion in hepatocellular carcinoma: initial application of a radiomic algorithm based on grayscale ultrasound images Y Dong, L Zhou, W Xia, XY Zhao, Q Zhang, JM Jian, X Gao, WP Wang Frontiers in oncology 10, 353, 2020 | 56 | 2020 |
| Radiogenomics of hepatocellular carcinoma: multiregion analysis-based identification of prognostic imaging biomarkers by integrating gene data—a preliminary study W Xia, Y Chen, R Zhang, Z Yan, X Zhou, B Zhang, X Gao Physics in Medicine & Biology 63 (3), 035044, 2018 | 56 | 2018 |
| Fully convolutional networks (FCNs)-based segmentation method for colorectal tumors on T2-weighted magnetic resonance images J Jian, F Xiong, W Xia, R Zhang, J Gu, X Wu, X Meng, X Gao Australasian physical & engineering sciences in medicine 41, 393-401, 2018 | 55 | 2018 |
| Predicting the outcome of transcatheter arterial embolization therapy for unresectable hepatocellular carcinoma based on radiomics of preoperative multiparameter MRI Y Sun, H Bai, W Xia, D Wang, B Zhou, X Zhao, G Yang, L Xu, W Zhang, ... Journal of Magnetic Resonance Imaging 52 (4), 1083-1090, 2020 | 47 | 2020 |
| MRI‐based machine learning for differentiating borderline from malignant epithelial ovarian tumors: A multicenter study Y Li, J Jian, PJ Pickhardt, F Ma, W Xia, H Li, R Zhang, S Zhao, S Cai, ... Journal of Magnetic Resonance Imaging 52 (3), 897-904, 2020 | 46 | 2020 |
| Deep learning for automatic differential diagnosis of primary central nervous system lymphoma and glioblastoma: multi‐parametric magnetic resonance imaging based convolutional … W Xia, B Hu, H Li, W Shi, Y Tang, Y Yu, C Geng, Q Wu, L Yang, Z Yu, ... Journal of Magnetic Resonance Imaging 54 (3), 880-887, 2021 | 42 | 2021 |
| Multiparametric‐MRI‐Based Radiomics Model for Differentiating Primary Central Nervous System Lymphoma From Glioblastoma: Development and Cross‐Vendor Validation W Xia, B Hu, H Li, C Geng, Q Wu, L Yang, B Yin, X Gao, Y Li, D Geng Journal of Magnetic Resonance Imaging, 2020 | 42 | 2020 |
| Multiparametric magnetic resonance imaging‐based peritumoral radiomics for preoperative prediction of the presence of extracapsular extension with prostate cancer H Bai, W Xia, X Ji, D He, X Zhao, J Bao, J Zhou, X Wei, Y Huang, Q Li, ... Journal of Magnetic Resonance Imaging 54 (4), 1222-1230, 2021 | 38 | 2021 |
| Deep learning predicts overall survival of patients with unresectable hepatocellular carcinoma treated by transarterial chemoembolization plus sorafenib L Zhang, W Xia, ZP Yan, JH Sun, BY Zhong, ZH Hou, MJ Yang, GH Zhou, ... Frontiers in Oncology 10, 593292, 2020 | 37 | 2020 |
| Deep learning based cervical screening by the cross-modal integration of colposcopy, cytology, and HPV test L Fu, W Xia, W Shi, G Cao, Y Ruan, X Zhao, M Liu, S Niu, F Li, X Gao International Journal of Medical Informatics 159, 104675, 2022 | 36 | 2022 |
| Automated computer-assisted detection system for cerebral aneurysms in time-of-flight magnetic resonance angiography using fully convolutional network G Chen, X Wei, H Lei, Y Liqin, L Yuxin, D Yakang, G Daoying BioMedical Engineering OnLine 19, 1-10, 2020 | 34 | 2020 |
| Desam: Decoupling segment anything model for generalizable medical image segmentation Y Gao, W Xia, D Hu, X Gao arXiv preprint arXiv:2306.00499, 2023 | 30 | 2023 |
| Noninvasive prediction of residual disease for advanced high-grade serous ovarian carcinoma by MRI-based radiomic-clinical nomogram H Li, R Zhang, R Li, W Xia, X Chen, J Zhang, S Cai, Y Li, S Zhao, J Qiang, ... European Radiology 31, 7855-7864, 2021 | 26 | 2021 |
rui zhangSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences在 sibet.ac.cn 的电子邮件经过验证
