| Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer S Wang, Z Liu, Y Rong, B Zhou, Y Bai, W Wei, M Wang, Y Guo, J Tian Radiotherapy and Oncology 132, 171-177, 2019 | 155 | 2019 |
| Radiomics signature: a potential biomarker for the prediction of MGMT promoter methylation in glioblastoma Y Xi, F Guo, Z Xu, C Li, W Wei, P Tian, T Liu, L Liu, G Chen, J Ye, ... Journal of Magnetic Resonance Imaging 47 (5), 1380-1387, 2018 | 141 | 2018 |
| Mining whole-lung information by artificial intelligence for predicting EGFR genotype and targeted therapy response in lung cancer: a multicohort study S Wang, H Yu, Y Gan, Z Wu, E Li, X Li, J Cao, Y Zhu, L Wang, H Deng, ... The Lancet Digital Health 4 (5), e309-e319, 2022 | 87 | 2022 |
| Deep learning radiomics-based prediction of distant metastasis in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy: A multicentre study X Liu, D Zhang, Z Liu, Z Li, P Xie, K Sun, W Wei, W Dai, Z Tang, Y Ding, ... EBioMedicine 69, 2021 | 67 | 2021 |
| A computed tomography-based radiomic prognostic marker of advanced high-grade serous ovarian cancer recurrence: a multicenter study W Wei, Z Liu, Y Rong, B Zhou, Y Bai, W Wei, S Wang, M Wang, Y Guo, ... Frontiers in oncology 9, 255, 2019 | 50 | 2019 |
| Radiomic analysis of multiparametric magnetic resonance imaging for differentiating skull base chordoma and chondrosarcoma L Li, K Wang, X Ma, Z Liu, S Wang, J Du, K Tian, X Zhou, K Sun, Y Lin, ... European journal of radiology 118, 81-87, 2019 | 49 | 2019 |
| Mammography-based radiomic analysis for predicting benign BI-RADS category 4 calcifications C Lei, W Wei, Z Liu, Q Xiong, C Yang, M Yang, L Zhang, T Zhu, X Zhuang, ... European journal of radiology 121, 108711, 2019 | 45 | 2019 |
| A Non-invasive Radiomic Method Using 18F-FDG PET Predicts Isocitrate Dehydrogenase Genotype and Prognosis in Patients With Glioma L Li, W Mu, Y Wang, Z Liu, Z Liu, Y Wang, W Ma, Z Kong, S Wang, X Zhou, ... Frontiers in Oncology 9, 1183, 2019 | 45 | 2019 |
| Esculetin improves cognitive impairments induced by transient cerebral ischaemia and reperfusion in mice via regulation of mitochondrial fragmentation and mitophagy B Xu, L Zhu, J Chu, Z Ma, Q Fu, W Wei, X Deng, S Ma Behavioural brain research 372, 112007, 2019 | 36 | 2019 |
| Radiomic signature: a novel magnetic resonance imaging-based prognostic biomarker in patients with skull base chordoma W Wei, K Wang, Z Liu, K Tian, L Wang, J Du, J Ma, S Wang, L Li, R Zhao, ... Radiotherapy and Oncology 141, 239-246, 2019 | 28 | 2019 |
| Unsupervised deep learning features for lung cancer overall survival analysis S Wang, Z Liu, X Chen, Y Zhu, H Zhou, Z Tang, W Wei, D Dong, M Wang, ... 2018 40th Annual international conference of the IEEE engineering in …, 2018 | 27 | 2018 |
| Predicting the type of tumor-related epilepsy in patients with low-grade gliomas: a radiomics study Y Wang, W Wei, Z Liu, Y Liang, X Liu, Y Li, Z Tang, T Jiang, J Tian Frontiers in Oncology 10, 235, 2020 | 25 | 2020 |
| Deep learning with whole slide images can improve the prognostic risk stratification with stage III colorectal cancer C Sun, B Li, G Wei, W Qiu, D Li, X Li, X Liu, W Wei, S Wang, Z Liu, J Tian, ... Computer Methods and Programs in Biomedicine 221, 106914, 2022 | 21 | 2022 |
| Abnormal dynamic functional connectivity after sleep deprivation from temporal variability perspective J Sun, R Zhao, Z He, M Chang, F Wang, W Wei, X Zhang, Y Zhu, Y Xi, ... Human Brain Mapping 43 (12), 3824-3839, 2022 | 14 | 2022 |
| A deep learning radiomics analysis for identifying sinus invasion in patients with meningioma before operation using tumor and peritumoral regions K Sun, J Zhang, Z Liu, Q Qiu, H Gao, P Liu, K Chen, W Wei, L Wang, ... European journal of radiology 149, 110187, 2022 | 13 | 2022 |
| Neuroimaging phenotyping and assessment of structural‐metabolic‐electrophysiological alterations in the temporal neocortex of focal cortical dysplasia IIIa J Mo, W Wei, Z Liu, J Zhang, Y Ma, L Sang, W Hu, C Zhang, Y Wang, ... Journal of Magnetic Resonance Imaging 54 (3), 925-935, 2021 | 13 | 2021 |
| Radiomics: a novel CT-based method of predicting postoperative recurrence in ovarian cancer W Wei, Y Rong, Z Liu, B Zhou, Z Tang, S Wang, D Dong, Y Zang, Y Guo, ... 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 13 | 2018 |
| An MRI-based radiomics model for predicting the benignity and malignancy of BI-RADS 4 breast lesions R Zhang, W Wei, R Li, J Li, Z Zhou, M Ma, R Zhao, X Zhao Frontiers in oncology 11, 733260, 2022 | 9 | 2022 |
| Development of prognostic biomarkers by TMB-guided WSI analysis: A two-step approach X Liu, Z Liu, Y Yan, K Wang, A Wang, X Ye, L Wang, W Wei, B Li, C Sun, ... IEEE Journal of Biomedical and Health Informatics 27 (4), 1780-1789, 2023 | 6 | 2023 |
| A novel MRI-based radiomics model for predicting recurrence in chordoma W Wei, K Wang, K Tian, Z Liu, L Wang, J Zhang, Z Tang, S Wang, D Dong, ... 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 5 | 2018 |
Zhenyu LiuCAS Key Laboratory of Molecular Imaging, Institute of Automation在 ia.ac.cn 的电子邮件经过验证
