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Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study 期刊论文
EUROPEAN RADIOLOGY, 2021, 页码: 11
作者:  Gu, Jionghui;  Tong, Tong;  He, Chang;  Xu, Min;  Yang, Xin;  Tian, Jie;  Jiang, Tianan;  Wang, Kun
Adobe PDF(3007Kb)  |  收藏  |  浏览/下载：288/51  |  提交时间：2021/12/28
Breast cancer  Deep learning  Neoadjuvant chemotherapy  Ultrasonography  Treatment outcome  
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：482/133  |  提交时间：2020/08/03
data science  liver diseases  machine learning  precision medicine  radiologic technology  
MRI-Based Radiomics Signature: A Potential Biomarker for Identifying Glypican 3-Positive Hepatocellular Carcinoma 期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2020, 卷号: 52, 期号: 6, 页码: 1679-1687
作者:  Gu, Dongsheng;  Xie, Yongsheng;  Wei, Jingwei;  Li, Wencui;  Ye, Zhaoxiang;  Zhu, Zhongyuan;  Tian, Jie;  Li, Xubin
Adobe PDF(904Kb)  |  收藏  |  浏览/下载：247/42  |  提交时间：2020/07/20
glypican 3  hepatocellular carcinoma  radiomics  noninvasive  nomogram  
Radiomics of Multiparametric MRI for Pretreatment Prediction of Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer: A Multicenter Study 期刊论文
CLINICAL CANCER RESEARCH, 2019, 卷号: 25, 期号: 12, 页码: 3538-3547
作者:  Liu, Zhenyu;  Li, Zhuolin;  Qu, Jinrong;  Zhang, Renzhi;  Zhou, Xuezhi;  Li, Longfei;  Sun, Kai;  Tang, Zhenchao;  Jiang, Hui;  Li, Hailiang;  Xiong, Qianqian;  Ding, Yingying;  Zhao, Xinming;  Wang, Kun;  Liu, Zaiyi;  Tian, Jie
收藏  |  浏览/下载：318/0  |  提交时间：2019/12/16