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Improved generative adversarial networks using the total gradient loss for the resolution enhancement of fluorescence images 期刊论文
BIOMEDICAL OPTICS EXPRESS, 2019, 卷号: 10, 期号: 9, 页码: 4742-4756
Authors:  Zhang, Chong;  Wang, Kun;  An, Yu;  He, Kunshan;  Tong, Tong;  Tian, Jie
View  |  Adobe PDF(4570Kb)  |  Favorite  |  View/Download:20/4  |  Submit date:2019/09/26
Antitumorigenic and antiangiogenic efficacy of apatinib in liver cancer evaluated by multimodality molecular imaging 期刊论文
EXPERIMENTAL AND MOLECULAR MEDICINE, 2019, 卷号: 51, 页码: 11
Authors:  Liang, Qian;  Kong, Lingxin;  Du, Yang;  Zhu, Xu;  Tian, Jie
Favorite  |  View/Download:8/0  |  Submit date:2019/12/16
Development of a radiomics nomogram based on the 2D and 3D CT features to predict the survival of non-small cell lung cancer patients 期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 5, 页码: 2196-2206
Authors:  Yang, Lifeng;  Yang, Jingbo;  Zhou, Xiaobo;  Huang, Liyu;  Zhao, Weiling;  Wang, Tao;  Zhuang, Jian;  Tian, Jie
Favorite  |  View/Download:13/0  |  Submit date:2019/07/12
Non-small cell lung cancer  Radiomics  Tomography x-ray computed  Nomogram  
Reconstruction of Fluorescence Molecular Tomography via a Fused LASSO Method Based on Group Sparsity Prior 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2019, 卷号: 66, 期号: 5, 页码: 1361-1371
Authors:  Jiang, Shixin;  Liu, Jie;  Zhang, Guanglei;  An, Yu;  Meng, Hui;  Gao, Yuan;  Wang, Kun;  Tian, Jie
View  |  Adobe PDF(5641Kb)  |  Favorite  |  View/Download:29/2  |  Submit date:2019/07/11
Fluorescence molecular tomography  image reconstruction  fused LASSO method  group sparsity  
Lung cancer deficient in the tumor suppressor GATA4 is sensitive to TGFBR1 inhibition 期刊论文
NATURE COMMUNICATIONS, 2019, 卷号: 10, 期号: 1, 页码: 1665
Authors:  Gao, Lei;  Hu, Yong;  Tian, Yahui;  Fan, Zhenzhen;  Wang, Kun;  Li, Hongdan;  Zhou, Qian;  Zeng, Guandi;  Hu, Xin;  Yu, Lei;  Zhou, Shiyu;  Tong, Xinyuan;  Huang, Hsinyi;  Chen, Haiquan;  Liu, Qingsong;  Liu, Wanting;  Zhang, Gong;  Zeng, Musheng;  Zhou, Guangbiao;  He, Qingyu;  Ji, Hongbin;  Chen, Liang
View  |  Adobe PDF(2284Kb)  |  Favorite  |  View/Download:28/2  |  Submit date:2019/07/12
GATA4  
Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning 期刊论文
EUROPEAN RESPIRATORY JOURNAL, 2019, 卷号: 53, 期号: 3, 页码: 11
Authors:  Wang, Shuo;  Shi, Jingyun;  Ye, Zhaoxiang;  Dong, Di;  Yu, Dongdong;  Zhou, Mu;  Liu, Ying;  Gevaert, Olivier;  Wang, Kun;  Zhu, Yongbei;  Zhou, Hongyu;  Liu, Zhenyu;  Tian, Jie
View  |  Adobe PDF(743Kb)  |  Favorite  |  View/Download:63/18  |  Submit date:2019/04/30
The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges 期刊论文
Theranostics, 2019, 卷号: 9, 期号: 5, 页码: 1303-1322
Authors:  Liu, Zhenyu;  Wang, Shuo;  Dong, Di;  Wei, Jingwei;  Fang, Cheng;  Zhou, Xuezhi;  Sun, Kai;  Li, Longfei;  Li, Bo;  Wang, Meiyun;  Tian, Jie
View  |  Adobe PDF(2057Kb)  |  Favorite  |  View/Download:49/9  |  Submit date:2019/04/30
Radiomics  Medical Imaging  Precision Diagnosis And Treatment  Oncology  
The fluorescence molecular imaging and tomography of matrix metalloproteinase-activatable near infrared fluorescence probe and image-guided orthotopic glioma resection 期刊论文
Molecular Imaging and Biology, 2018, 卷号: 20, 期号: 6, 页码: 930-939
Authors:  Li Li;  Du Yang;  Chen xinjian;  Tian Jie
View  |  Adobe PDF(6862Kb)  |  Favorite  |  View/Download:56/16  |  Submit date:2019/02/18
Matrix Metalloproteinase, Image-guided Surgery, Glioma, Fluorescence Molecular Tomography  
Advances in Molecular Imaging of Immunotherapeutic Targets in Breast Cancer: Current and Future Prospect 期刊论文
European Radiology, 2018, 期号: NA, 页码: NA
Authors:  Du Yang;  Jin Yinhua;  Sun Wei;  Fan Junjie;  Zheng Jianjun;  Tian Jie
View  |  Adobe PDF(6002Kb)  |  Favorite  |  View/Download:70/23  |  Submit date:2019/02/18
Cancer, Immunotherapy, Molecular Imaging, Immune Checkpoint Target  
Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer 期刊论文
Radiotherapy and Oncology, 2018, 期号: 132, 页码: 171-177
Authors:  Wang, Shuo;  Liu, Zhenyu;  Rong, Yu;  Zhou, Bin;  Bai, Yan;  Wei, Wei;  Wei, Wei;  Wang, Meiyun;  Guo, Yingkun;  Tian, Jie
View  |  Adobe PDF(1623Kb)  |  Favorite  |  View/Download:59/15  |  Submit date:2019/04/30
Deep Learning  High-grade Serous Ovarian Cancer  Recurrence  Prognosis  Computed Tomography  Artificial Intelligence  Semi-supervised Learning  Auto Encoder  Unsupervised Learning