| A deep learning-based radiomics model for prediction of survival in glioblastoma multiforme J Lao, Y Chen, ZC Li, Q Li, J Zhang, J Liu, G Zhai Scientific reports 7 (1), 10353, 2017 | 620 | 2017 |
| Generative adversarial networks in medical image augmentation: a review Y Chen, XH Yang, Z Wei, AA Heidari, N Zheng, Z Li, H Chen, H Hu, ... Computers in Biology and Medicine 144, 105382, 2022 | 307 | 2022 |
| Deep Learning vs. Radiomics for Predicting Axillary Lymph Node Metastasis of Breast Cancer Using Ultrasound Images: Don't Forget the Peritumoral Region Q Sun, X Lin, Y Zhao, L Li, K Yan, D Liang, D Sun, ZC Li Frontiers in Oncology 10, 2020 | 222 | 2020 |
| Comparison of transferred deep neural networks in ultrasonic breast masses discrimination T Xiao, L Liu, K Li, W Qin, S Yu, Z Li BioMed research international 2018 (1), 4605191, 2018 | 172 | 2018 |
| Multiregional radiomics features from multiparametric MRI for prediction of MGMT methylation status in glioblastoma multiforme: a multicentre study ZC Li, H Bai, Q Sun, Q Li, L Liu, Y Zou, Y Chen, C Liang, H Zheng European radiology 28, 3640-3650, 2018 | 165 | 2018 |
| A fully-automatic multiparametric radiomics model: towards reproducible and prognostic imaging signature for prediction of overall survival in glioblastoma multiforme Q Li, H Bai, Y Chen, Q Sun, L Liu, S Zhou, G Wang, C Liang, ZC Li Scientific reports 7 (1), 14331, 2017 | 153 | 2017 |
| Multiregional radiomics profiling from multiparametric MRI: Identifying an imaging predictor of IDH1 mutation status in glioblastoma ZC Li, H Bai, Q Sun, Y Zhao, Y Lv, J Zhou, C Liang, Y Chen, D Liang, ... Cancer medicine 7 (12), 5999-6009, 2018 | 99 | 2018 |
| Differentiation of clear cell and non-clear cell renal cell carcinomas by all-relevant radiomics features from multiphase CT: a VHL mutation perspective ZC Li, G Zhai, J Zhang, Z Wang, G Liu, G Wu, D Liang, H Zheng European radiology 29, 3996-4007, 2019 | 84 | 2019 |
| Biologic pathways underlying prognostic radiomics phenotypes from paired MRI and RNA sequencing in glioblastoma Q Sun, Y Chen, C Liang, Y Zhao, X Lv, Y Zou, K Yan, H Zheng, D Liang, ... Radiology 301 (3), 654-663, 2021 | 68 | 2021 |
| Iterative image-domain ring artifact removal in cone-beam CT X Liang, Z Zhang, T Niu, S Yu, S Wu, Z Li, H Zhang, Y Xie Physics in Medicine & Biology 62 (13), 5276, 2017 | 64 | 2017 |
| Gencore: an efficient tool to generate consensus reads for error suppressing and duplicate removing of NGS data S Chen, Y Zhou, Y Chen, T Huang, W Liao, Y Xu, Z Li, J Gu Bmc Bioinformatics 20 (Suppl 23), 606, 2019 | 60 | 2019 |
| Deep learning features from diffusion tensor imaging improve glioma stratification and identify risk groups with distinct molecular pathway activities J Yan, Y Zhao, Y Chen, W Wang, W Duan, L Wang, S Zhang, T Ding, L Liu, ... EBioMedicine 72, 2021 | 53 | 2021 |
| Modeling and analysis of distortion caused by Markov-model burst packet losses in video transmission Z Li, J Chakareski, X Niu, Y Zhang, W Gu IEEE Transactions on circuits and systems for video technology 19 (7), 917-931, 2009 | 53 | 2009 |
| Radiomic features from multi-parameter MRI combined with clinical parameters predict molecular subgroups in patients with medulloblastoma J Yan, L Liu, W Wang, Y Zhao, KKW Li, K Li, L Wang, B Yuan, H Geng, ... Frontiers in oncology 10, 558162, 2020 | 52 | 2020 |
| Combining DWI radiomics features with transurethral resection promotes the differentiation between muscle-invasive bladder cancer and non-muscle-invasive bladder cancer S Xu, Q Yao, G Liu, D Jin, H Chen, J Xu, Z Li, G Wu European radiology 30, 1804-1812, 2020 | 51 | 2020 |
| Dynamic propagation channel characterization and modeling for human body communication Z Nie, J Ma, Z Li, H Chen, L Wang Sensors 12 (12), 17569-17587, 2012 | 43 | 2012 |
| A Computational Toolset for Rapid Identification of SARS-CoV-2, other Viruses, and Microorganisms from Sequencing Data S Chen, C He, Y Li, Z Li, CE Melancon Briefings in Bioinformatics, 2020 | 42 | 2020 |
| Incremental prognostic value and underlying biological pathways of radiomics patterns in medulloblastoma J Yan, S Zhang, KKW Li, W Wang, K Li, W Duan, B Yuan, L Wang, L Liu, ... EBioMedicine 61, 2020 | 40 | 2020 |
| Genetic biomarkers for hepatocellular carcinoma in the era of precision medicine J Duan, Y Wu, J Liu, J Zhang, Z Fu, T Feng, M Liu, J Han, Z Li, S Chen Journal of Hepatocellular Carcinoma, 151-166, 2019 | 40 | 2019 |
| Supine lithotomy versus prone position in minimally invasive percutaneous nephrolithotomy for upper urinary tract calculi H Zhan, Z Li, X Zhou, F Yang, J Huang, M Lu Urologia internationalis 91 (3), 320-325, 2013 | 30 | 2013 |
Yuanshen ZhaoShenzhen Institutes of Advanced Technology, Chinese Academy of SciencesVerified email at siat.ac.cn
