CASIA OpenIR
(Note: the search results are based on claimed items)

Browse/Search Results:  1-10 of 94 Help

Filters        
Selected(0)Clear Items/Page:    Sort:
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:27/4  |  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:9/0  |  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:17/0  |  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:42/4  |  Submit date:2019/07/11
Fluorescence molecular tomography  image reconstruction  fused LASSO method  group sparsity  
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:73/23  |  Submit date:2019/04/30
Neuroblastoma-targeting triangular gadolinium oxide nanoplates for precise excision of cancer 期刊论文
Acta Biomaterialia, 2019, 期号: 97, 页码: 223-234
Authors:  Jin YS(靳玉慎);  Li YY(李妍妍);  Yang X(杨鑫);  Tian J(田捷)
Adobe PDF(5137Kb)  |  Favorite  |  View/Download:45/11  |  Submit date:2019/05/08
Triangular Gadolinium Oxide Nanoplates  Fluorescence Imaging  Mri Imaging  Imaging-guided Excision  
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
Adobe PDF(2057Kb)  |  Favorite  |  View/Download:56/9  |  Submit date:2019/04/30
Radiomics  Medical Imaging  Precision Diagnosis And Treatment  Oncology  
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
Adobe PDF(1623Kb)  |  Favorite  |  View/Download:71/17  |  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  
A novel plectin/integrin-targeted bispecific molecular probe for magnetic resonance/near-infrared imaging of pancreatic cancer 期刊论文
Biomaterials, 2018, 期号: 183, 页码: 173-184
Authors:  Wang Qian;  Yan Hao;  Jin YS(靳玉慎);  Wang Zihua;  Huang Wenhui;  Qiu Jia;  Kang Feiyu;  Wang Kun;  Zhao Xinming;  Tian Jie
Adobe PDF(4182Kb)  |  Favorite  |  View/Download:100/27  |  Submit date:2018/10/02
Bispecific Peptides  Early Diagnosis  Molecular Imaging  Pancreatic Cancer  Theranostics  
A New Approach to Predict Progression-free Survival in Stage IV EGFR-mutant NSCLC Patients with EGFR-TKI Therapy 期刊论文
CLINICAL CANCER RESEARCH, 2018, 卷号: 24, 期号: 15, 页码: 3583-3592
Authors:  Song, Jiangdian;  Shi, Jingyun;  Dong, Di;  Fang, Mengjie;  Zhong, Wenzhao;  Wang, Kun;  Wu, Ning;  Huang, Yanqi;  Liu, Zhenyu;  Cheng, Yue;  Gan, Yuncui;  Zhou, Yongzhao;  Zhou, Ping;  Chen, Bojiang;  Liang, Changhong;  Liu, Zaiyi;  Li, Weimin;  Tian, Jie
Adobe PDF(1305Kb)  |  Favorite  |  View/Download:75/4  |  Submit date:2018/10/10
EGFR-TKI therapy