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Integrating No.3 lymph nodes and primary tumor radiomics to predict lymph node metastasis in T1-2 gastric cancer 期刊论文
BMC Medical Imaging, 2021, 卷号: 21, 期号: 1, 页码: 10
Authors:  Wang,Xiaoxiao;  Li,Cong;  Fang,Mengjie;  Zhang,Liwen;  Zhong,Lianzhen;  Dong,Di;  Tian,Jie;  Shan,Xiuhong
Adobe PDF(2269Kb)  |  Favorite  |  View/Download:19/0  |  Submit date:2021/04/06
Stomach cancer  Lymph nodes  Nomogram  
A review of the application of machine learning in molecular imaging 期刊论文
Annals of Translational Medicine, 2021, 卷号: 0, 期号: 0, 页码: 0
Authors:  Yin, Lin;  Cao, Zhen;  Wang, Kun;  Tian, Jie;  Yang, Xing;  Zhang, Jianhua
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molecular imaging, machine learning, artificial intelligence  
Multiparametric MRI-based radiomics analysis for the prediction of breast tumor regression patterns after neoadjuvant chemotherapy 期刊论文
TRANSLATIONAL ONCOLOGY, 2020, 卷号: 13, 期号: 11, 页码: 8
Authors:  Zhuang, Xiaosheng;  Chen, Chi;  Liu, Zhenyu;  Zhang, Liulu;  Zhou, Xuezhi;  Cheng, Minyi;  Ji, Fei;  Zhu, Teng;  Lei, Chuqian;  Zhang, Junsheng;  Jiang, Jingying;  Tian, Jie;  Wang, Kun
Favorite  |  View/Download:27/0  |  Submit date:2021/01/07
Radiopathomics strategy combining multiparametric MRI with whole-slide image for pretreatment prediction of tumor regression grade to neoadjuvant chemoradiotherapy in rectal cancer 期刊论文
CANCER RESEARCH, 2020, 卷号: 80, 期号: 16, 页码: 2
Authors:  Shao, Lizhi;  Liu, Zhenyu;  Feng, Lili;  Lou, Xiaoying;  Li, Zhenhui;  Zhang, Xiao-Yan;  Zhou, Xuezhi;  Sun, Kai;  Zhang, Da-Fu;  Wu, Lin;  Yang, Guanyu;  Sun, Ying-Shi;  Xu, Ruihua;  Wan, Xiangbo;  Fan, Xinjuan;  Tian, Jie
Favorite  |  View/Download:1/0  |  Submit date:2021/03/29
Multiparametric MRI and Whole Slide Image-Based Pretreatment Prediction of Pathological Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer: A Multicenter Radiopathomic Study 期刊论文
ANNALS OF SURGICAL ONCOLOGY, 2020, 页码: 11
Authors:  Shao, Lizhi;  Liu, Zhenyu;  Feng, Lili;  Lou, Xiaoying;  Li, Zhenhui;  Zhang, Xiao-Yan;  Wan, Xiangbo;  Zhou, Xuezhi;  Sun, Kai;  Zhang, Da-Fu;  Wu, Lin;  Yang, Guanyu;  Sun, Ying-Shi;  Xu, Ruihua;  Fan, Xinjuan;  Tian, Jie
Favorite  |  View/Download:25/0  |  Submit date:2020/08/31
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
Authors:  Wei, Jingwei;  Jiang, Hanyu;  Gu, Dongsheng;  Niu, Meng;  Fu, Fangfang;  Han, Yuqi;  Song, Bin;  Tian, Jie
Adobe PDF(872Kb)  |  Favorite  |  View/Download:53/0  |  Submit date: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
Authors:  Gu, Dongsheng;  Xie, Yongsheng;  Wei, Jingwei;  Li, Wencui;  Ye, Zhaoxiang;  Zhu, Zhongyuan;  Tian, Jie;  Li, Xubin
Adobe PDF(904Kb)  |  Favorite  |  View/Download:49/0  |  Submit date:2020/07/20
glypican 3  hepatocellular carcinoma  radiomics  noninvasive  nomogram  
Multiparametric MRI Radiomic Model for Preoperative Predicting WHO/ISUP Nuclear Grade of Clear Cell Renal Cell Carcinoma 期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2020, 页码: 10
Authors:  Li, Qiong;  Liu, Yu-jia;  Dong, Di;  Bai, Xu;  Huang, Qing-bo;  Guo, Ai-tao;  Ye, Hui-yi;  Tian, Jie;  Wang, Hai-yi
Favorite  |  View/Download:57/0  |  Submit date:2020/06/22
renal cell carcinoma  nuclear grade  radiomic  magnetic resonance imaging  
基于定量磁共振影像组学的脑肿瘤无创诊断研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2020
Authors:  张帅通
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磁共振影像(MRI)  影像组学  无创诊断  半监督学习  脑肿瘤  
Radiomics-Based Preoperative Prediction of Lymph Node Status Following Neoadjuvant Therapy in Locally Advanced Rectal Cancer 期刊论文
FRONTIERS IN ONCOLOGY, 2020, 卷号: 10, 页码: 13
Authors:  Zhou, Xuezhi;  Yi, Yongju;  Liu, Zhenyu;  Zhou, Zhiyang;  Lai, Bingjia;  Sun, Kai;  Li, Longfei;  Huang, Liyu;  Feng, Yanqiu;  Cao, Wuteng;  Tian, Jie
Favorite  |  View/Download:26/0  |  Submit date:2020/06/22
lymph node metastasis  prediction  neoadjuvant therapy  locally advanced rectal cancer  radiomics