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Deep learning radiomics of ultrasonography: Identifying the risk of axillary non-sentinel lymph node involvement in primary breast cancer 期刊论文
EBIOMEDICINE, 2020, 卷号: 60, 页码: 11
作者:  Guo, Xu;  Liu, Zhenyu;  Sun, Caixia;  Zhang, Lei;  Wang, Ying;  Li, Ziyao;  Shi, Jiaxin;  Wu, Tong;  Cui, Hao;  Zhang, Jing;  Tian, Jie;  Tian, Jiawei
收藏  |  浏览/下载：237/0  |  提交时间：2021/01/07
Deep learning radiomics  Ultrasonography  Primary breast cancer  Axillary management  NSLN metastasis in the axilla  
CT-based deep learning radiomics analysis for evaluation of serosa invasion in advanced gastric cancer 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 132, 页码: 8
作者:  Sun, Rui-Jia;  Fang, Meng-Jie;  Tang, Lei;  Li, Xiao-Ting;  Lu, Qiao-Yuan;  Dong, Di;  Tian, Jie;  Sun, Ying-Shi
Adobe PDF(3491Kb)  |  收藏  |  浏览/下载：311/57  |  提交时间：2021/01/06
Stomach neoplasms  Multi-detector computed tomography  Radiomics  Deep learning  
Cascaded one-shot deformable convolutional neural networks: Developing a deep learning model for respiratory motion estimation in ultrasound sequences 期刊论文
Medical Image Analysis, 2020, 卷号: 65, 期号: 65, 页码: 101793
作者:  Fei Liu;  Dan Liu;  Jie Tian;  Xiaoyan Xie;  Xin Yang;  Wang K(王坤)
浏览  |  Adobe PDF(3180Kb)  |  收藏  |  浏览/下载：204/56  |  提交时间：2020/11/02
Ultrasound sequence  Respiratory motion estimation  Cascaded Siamese network  One-shot deformable convolution  
Radiomics in liver diseases: Current progress and future opportunities 期刊论文
LIVER INTERNATIONAL, 2020, 卷号: 40, 期号: 9, 页码: 2050-2063
作者:  Wei, Jingwei;  Jiang, Hanyu;  Gu, Dongsheng;  Niu, Meng;  Fu, Fangfang;  Han, Yuqi;  Song, Bin;  Tian, Jie
Adobe PDF(872Kb)  |  收藏  |  浏览/下载：478/132  |  提交时间：2020/08/03
data science  liver diseases  machine learning  precision medicine  radiologic technology  
Mammography-based radiomics nomogram: a potential biomarker to predict axillary lymph node metastasis in breast cancer 期刊论文
BRITISH JOURNAL OF RADIOLOGY, 2020, 卷号: 93, 期号: 1111, 页码: 11
作者:  Tan, Hongna;  Wu, Yaping;  Bao, Fengchang;  Zhou, Jing;  Wan, Jianzhong;  Tian, Jie;  Lin, Yusong;  Wang, Meiyun
收藏  |  浏览/下载：189/0  |  提交时间：2020/08/03
Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study 期刊论文
ANNALS OF ONCOLOGY, 2020, 卷号: 31, 期号: 7, 页码: 912-920
作者:  Dong, Di;  Fang, Mengjie;  Tang, Lei;  Shan, Xiuhong;  Gao, Jianbo;  Giganti, Francesco;  Wang, Rongpin;  Chen, Xin;  Wang, Xiaoxiao;  Palumbo, Diego;  Fu, Jia;  Li, Wuchao;  Li, Jing;  Zhong, Lianzhen;  De Cobelli, Francesco;  Ji, Jiafu;  Liu, Zaiyi;  Tian, Jie
浏览  |  Adobe PDF(2209Kb)  |  收藏  |  浏览/下载：415/66  |  提交时间：2020/07/20
deep learning  locally advanced gastric cancer  lymph node metastasis  radiomic nomogram  
Accurate prediction of responses to transarterial chemoembolization for patients with hepatocellular carcinoma by using artificial intelligence in contrast-enhanced ultrasound 期刊论文
EUROPEAN RADIOLOGY, 2020, 卷号: 30, 期号: 4, 页码: 2365-2376
作者:  Liu, Dan;  Liu, Fei;  Xie, Xiaoyan;  Su, Liya;  Liu, Ming;  Xie, Xiaohua;  Kuang, Ming;  Huang, Guangliang;  Wang, Yuqi;  Zhou, Hui;  Wang, Kun;  Lin, Manxia;  Tian, Jie
收藏  |  浏览/下载：233/0  |  提交时间：2020/06/02
Therapeutic chemoembolization  Hepatocellular carcinoma  Ultrasonography  Deep learning