| The applications of radiomics in precision diagnosis and treatment of oncology: opportunities and challenges Z Liu, S Wang, D Dong, J Wei, C Fang, X Zhou, K Sun, L Li, B Li, M Wang, ... Theranostics 9 (5), 1303, 2019 | 807 | 2019 |
| Radiomics of multiparametric MRI for pretreatment prediction of pathologic complete response to neoadjuvant chemotherapy in breast cancer: a multicenter study Z Liu, Z Li, J Qu, R Zhang, X Zhou, L Li, K Sun, Z Tang, H Jiang, H Li, ... Clinical Cancer Research 25 (12), 3538-3547, 2019 | 415 | 2019 |
| Radiomics-based pretherapeutic prediction of non-response to neoadjuvant therapy in locally advanced rectal cancer X Zhou, Y Yi, Z Liu, W Cao, B Lai, K Sun, L Li, Z Zhou, Y Feng, J Tian Annals of surgical oncology 26, 1676-1684, 2019 | 100 | 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 | 56 | 2019 |
| Radiomics-based preoperative prediction of lymph node status following neoadjuvant therapy in locally advanced rectal cancer X Zhou, Y Yi, Z Liu, Z Zhou, B Lai, K Sun, L Li, L Huang, Y Feng, W Cao, ... Frontiers in Oncology 10, 604, 2020 | 46 | 2020 |
| 18F-FDG-PET-based Radiomics signature predicts MGMT promoter methylation status in primary diffuse glioma Z Kong, Y Lin, C Jiang, L Li, Z Liu, Y Wang, C Dai, D Liu, X Qin, Y Wang, ... Cancer Imaging 19, 1-10, 2019 | 46 | 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 | 46 | 2019 |
| Radiomics analysis of placenta on T2WI facilitates prediction of postpartum haemorrhage: A multicentre study Q Wu, K Yao, Z Liu, L Li, X Zhao, S Wang, H Shang, Y Lin, Z Wen, ... EBioMedicine 50, 355-365, 2019 | 44 | 2019 |
| Development and validation of an MRI-based radiomic signature for the preoperative prediction of treatment response in patients with invasive functional pituitary adenoma Y Fan, Z Liu, B Hou, L Li, X Liu, Z Liu, R Wang, Y Lin, F Feng, J Tian, ... European journal of radiology 121, 108647, 2019 | 40 | 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 | 32 | 2019 |
| Radiomics signature based on FDG-PET predicts proliferative activity in primary glioma Z Kong, J Li, Z Liu, Z Liu, D Zhao, X Cheng, L Li, Y Lin, Y Wang, J Tian, ... Clinical Radiology 74 (10), 815. e15-815. e23, 2019 | 24 | 2019 |
| AI-powered radiomics algorithm based on slice pooling for the glioma grading G Zhao, P Man, J Bai, L Li, P Wang, G Yang, L Shi, Y Tao, Y Lin, J Cheng IEEE Transactions on Industrial Informatics 18 (8), 5383-5393, 2021 | 7 | 2021 |
| Universal multi-factor feature selection method for radiomics-based brain tumor classification L Li, M Wang, X Jiang, Y Lin Computers in Biology and Medicine 164, 107122, 2023 | 4 | 2023 |
| Expert knowledge guided manifold representation learning for magnetic resonance imaging-based glioma grading Y Wang, L Li, C Li, Y Xi, Y Lin, S Wang Biomedical Signal Processing and Control 85, 104876, 2023 | 4 | 2023 |
| Multiparametric Magnetic Resonance Imaging Information Fusion Using Graph Convolutional Network for Glioma Grading P Guo, L Li, C Li, W Huang, G Zhao, S Wang, M Wang, Y Lin Journal of Healthcare Engineering 2022 (1), 7315665, 2022 | 3 | 2022 |
Zhenyu LiuCAS Key Laboratory of Molecular Imaging, Institute of AutomationBestätigte E-Mail-Adresse bei ia.ac.cn