| 1D Infrared Camera Distortion Based on Polynomial Model W Qin, Z Li, J Gu, K Chen, X Zhang 2012 International Conference on Computer Application and System Modeling …, 2012 | | 2012 |
| 3-D finite element analysis and optimum design of electromagnetic acoustic transducers SJ Wang, L Kang, ZC Li, GF Zhai Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of …, 2009 | 19 | 2009 |
| 3D deep attention network for survival prediction from magnetic resonance images in glioblastoma Z Liu, Q Sun, H Bai, C Liang, Y Chen, ZC Li 2019 IEEE international conference on image processing (ICIP), 1381-1384, 2019 | 11 | 2019 |
| 3D Deep residual encoder-decoder CNNS with squeeze-and-excitation for brain tumor segmentation K Yan, Q Sun, L Li, Z Li Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020 | 4 | 2020 |
| A comparative study of CNN-based super-Resolution methods in MRI reconstruction W Zeng, J Peng, S Wang, Z Li, Q Liu, D Liang 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 4 | 2019 |
| 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 | 37 | 2020 |
| 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 | 600 | 2017 |
| A deep learning-based radiomics model for prediction of survival in glioblastoma multiforme. Sci Rep 7: 10353 J Lao, Y Chen, ZC Li, Q Li, J Zhang, J Liu, G Zhai | 7 | 2017 |
| A deep learning-based radiomics model for prediction of survival in glioblastoma multiforme. Sci Rep. 2017; 7 (1): 10353 J Lao, Y Chen, ZC Li, Q Li, J Zhang, J Liu, G Zhai | 10 | |
| A deep learning-based radiomics model for prediction of survival in glioblastoma multiforme. Sci Rep. 2017; 7: 10353 J Lao, Y Chen, ZC Li, Q Li, J Zhang, J Liu, G Zhai | 6 | |
| 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 | 146 | 2017 |
| A multiple-hop synchronization protocol with packet reconstitution Z Chen, Z Li, B Huang, X Liu, L Wang 2010 International Conference on Body Sensor Networks, 203-206, 2010 | 4 | 2010 |
| A pilot study on simulation of Ultrasound from MRI using ray-based model W Qin, T Wen, Z Zheng, Z Li, W Li, X Fang, Y Ji, J Gu Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and …, 2012 | 1 | 2012 |
| A radio-pathologic integrated model for prediction of lymph node metastasis stage in patients with gastric cancer Y Zhao, L Li, K Han, T Li, J Duan, Q Sun, C Zhu, D Liang, N Chai, ZC Li Abdominal Radiology 48 (11), 3332-3342, 2023 | 2 | 2023 |
| A radiopathomics model for prognosis prediction in patients with gastric cancer Y Zhao, J Duan, ZC Li, N Chai, L Li 2022 14th Biomedical Engineering International Conference (BMEiCON), 1-4, 2022 | 2 | 2022 |
| A vessel segmentation method for multi-modality angiographic images based on multi-scale filtering and statistical models P Lu, J Xia, Z Li, J Xiong, J Yang, S Zhou, L Wang, M Chen, C Wang Biomedical engineering online 15, 1-18, 2016 | 28 | 2016 |
| Accurate kidney surface reconstruction from 3D ultrasonography for volume assessment: First clinical evaluation ZC Li, K Li, K Chen, YQ Xie 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 1 | 2015 |
| An optical tracker based robot registration and servoing method for ultrasound guided percutaneous renal access D Zhang, Z Li, K Chen, J Xiong, X Zhang, L Wang Biomedical engineering online 12 (1), 1-16, 2013 | 26 | 2013 |
| Artificial intelligence for medicine: Progress, challenges, and perspectives T Huang, H Xu, H Wang, H Huang, Y Xu, B Li, S Hong, G Feng, S Kui, ... The Innovation Medicine 1 (2), 100030-1-100030-13, 2023 | 13 | 2023 |
| Augmented reality using 3D shape model for ultrasound-guided percutaneous renal access: A pig model study ZC Li, G Niu, K Li, HL Zhan, YQ Xie, L Wang The 7th 2014 Biomedical Engineering International Conference, 1-4, 2014 | 3 | 2014 |
Yuanshen Zhao 赵源深Shenzhen Institutes of Advanced Technology, Chinese Academy of SciencesVerified email at siat.ac.cn