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Research on robot regrinding trajectory planning and surface characteristics of damaged blades 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2023, 页码: 12
作者:  Su, Zhipeng;  Liang, Zhiqiang;  Du, Yuchao;  Feng, Boya;  Zhou, Lei;  Ma, Liping;  Xiao, Shihong;  Ding, Yue;  Wang, Xibin
收藏  |  浏览/下载：35/0  |  提交时间：2024/02/22
Aeroengine blade  Superalloy  Robot regrinding  Trajectory planning  Surface topography  
A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre study 期刊论文
EBIOMEDICINE, 2021, 卷号: 70, 页码: 10
作者:  Zhong, Lianzhen;  Dong, Di;  Fang, Xueliang;  Zhang, Fan;  Zhang, Ning;  Zhang, Liwen;  Fang, Mengjie;  Jiang, Wei;  Liang, Shaobo;  Li, Cong;  Liu, Yujia;  Zhao, Xun;  Cao, Runnan;  Shan, Hong;  Hu, Zhenhua;  Ma, Jun;  Tang, Linglong;  Tian, Jie
Adobe PDF(3679Kb)  |  收藏  |  浏览/下载：333/67  |  提交时间：2021/11/03
Multi-task deep learning  Radiomic nomogram  Survival analysis  Treatment decision  Advanced nasopharyngeal carcinoma  
Radiomics Analysis of Computed Tomography helps predict poor prognostic outcome in COVID-19 期刊论文
THERANOSTICS, 2020, 卷号: 10, 期号: 16, 页码: 7231-7244
作者:  Wu, Qingxia;  Wang, Shuo;  Liang, Li;  Wu, Qingxia;  Qian, Wei;  Hu, Yahua;  Li, Li;  Zhou, Xuezhi;  Ma, He;  Li, Hongjun;  Wang, Meiyun;  Qiu, Xiaoming;  Zha, Yunfei;  Tian, Jie
收藏  |  浏览/下载：162/0  |  提交时间：2020/08/03
COVID-19  Computed tomography  Radiomics  Prognosis  Poor outcome  
Preoperative radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT 期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 7, 页码: 3595-3605
作者:  Ma, Xiaohong;  Wei, Jingwei;  Gu, Dongsheng;  Zhu, Yongjian;  Feng, Bing;  Liang, Meng;  Wang, Shuang;  Zhao, Xinming;  Tian, Jie
收藏  |  浏览/下载：268/0  |  提交时间：2019/07/11
Hepatocellular carcinoma  Microvessel  Forecasting  Imaging  Three-dimensional tomography  
Multi-parametric MRI-based radiomics signature for discriminating between clinically significant and insignificant prostate cancer: Cross-validation of a machine learning method 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2019, 卷号: 115, 页码: 16-21
作者:  Min, Xiangde;  Li, Min;  Dong, Di;  Feng, Zhaoyan;  Zhang, Peipei;  Ke, Zan;  You, Huijuan;  Han, Fangfang;  Ma, He;  Tian, Jie;  Wang, Liang
收藏  |  浏览/下载：273/0  |  提交时间：2019/07/12
Magnetic resonance imaging  Prostatic neoplasms  Neoplasm grading  Radiomics