| 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 | 63 | 2020 |
| 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 | 51 | 2020 |
| 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 | 41 | 2020 |
| MRI-based radiomics models to assess prostate cancer, extracapsular extension and positive surgical margins D He, X Wang, C Fu, X Wei, J Bao, X Ji, H Bai, W Xia, X Gao, Y Huang, ... Cancer Imaging 21, 1-9, 2021 | 36 | 2021 |
| 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 | 35 | 2021 |
| Preoperative CECT-based radiomic signature for predicting the response of transarterial chemoembolization (TACE) therapy in hepatocellular carcinoma H Bai, S Meng, C Xiong, Z Liu, W Shi, Q Ren, W Xia, XY Zhao, J Jian, ... CardioVascular and Interventional Radiology 45 (10), 1524-1533, 2022 | 8 | 2022 |
| 术前 T2 磁共振影像组学在预测介入治疗大肝癌近期疗效的研究 孙跃军， 白洪林， 王栋， 冉昭， 徐李刚， 钱晟， 杨国威， 张巍， 王建华， 高欣 介入放射学杂志 28 (11), 1036-1041, 2019 | 1 | 2019 |
| 红外图像条纹非均匀性校正与数字细节增强算法研究 白洪林 电子科技大学, 2018 | | 2018 |
Xingyu Zhao (赵星羽)University of Science and Technology of China (USTC, CAS)在 mail.ustc.edu.cn 的电子邮件经过验证
