| 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 29, 6049-6058, 2019 | 134 | 2019 |
| 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 | 65 | 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 | 60 | 2021 |
| 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 | 55 | 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 | 52 | 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 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 | 41 | 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 | 35 | 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 | 35 | 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 | 30 | 2022 |
| CT-based radiomics signatures can predict the tumor response of non-small cell lung cancer patients treated with first-line chemotherapy and targeted therapy F Yang, J Zhang, L Zhou, W Xia, R Zhang, H Wei, J Feng, X Zhao, J Jian, ... European Radiology, 1-10, 2022 | 28 | 2022 |
| Multiple instance convolutional neural network with modality-based attention and contextual multi-instance learning pooling layer for effective differentiation between … J Jian, W Xia, R Zhang, X Zhao, J Zhang, X Wu, J Qiang, X Gao Artificial intelligence in medicine 121, 102194, 2021 | 21 | 2021 |
| MRI‐Based Multiple Instance Convolutional Neural Network for Increased Accuracy in the Differentiation of Borderline and Malignant Epithelial Ovarian Tumors J Jian, Y Li, W Xia, Z He, R Zhang, H Li, X Zhao, S Zhao, J Zhang, S Cai, ... Journal of Magnetic Resonance Imaging 56 (1), 173-181, 2022 | 14 | 2022 |
| 3D multi-scale, multi-task, and multi-label deep learning for prediction of lymph node metastasis in T1 lung adenocarcinoma patients' CT images X Zhao, X Wang, W Xia, R Zhang, J Jian, J Zhang, Y Zhu, Y Tang, Z Li, ... Computerized Medical Imaging and Graphics 93, 101987, 2021 | 11 | 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 |
| Deep learning-based fully automated diagnosis of melanocytic lesions by using whole slide images Y Bao, J Zhang, X Zhao, H Zhou, Y Chen, J Jian, T Shi, X Gao Journal of Dermatological Treatment 33 (5), 2571-2577, 2022 | 5 | 2022 |
| Technology (CAS), China Objectives: To establish a radiomic algorithm based on grayscale ultrasound images and to make preoperative predictions of microvascular invasion (MVI … YDL Zhou, W Xia, XY Zhao, Q Zhang, JM Jian, X Gao, WP Wang Radiomics-Based Tumor Phenotyping in Precision Medicine, 11, 2022 | | 2022 |
Wei XiaUnited Imaging在 sibet.ac.cn 的电子邮件经过验证
