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Image Annotation through Adaptive Dependency Fusion 会议论文
, 苏州, 2018-12
Authors:  Wang Fangxin(王方心);  Liu Jie;  Zhang Shuwu;  Zhang Guixuan;  Zheng Yang;  Li Xiaoqian
View  |  Adobe PDF(503Kb)  |  Favorite  |  View/Download:16/2  |  Submit date:2019/10/08
Image Annotation  Multiple Dependencies  End-to-end  Prediction Path  
A novel plectin/integrin-targeted bispecific molecular probe for magnetic Check tat resonance/near-infrared imaging of pancreatic cancer 期刊论文
BIOMATERIALS, 2018, 卷号: 183, 页码: 173-184
Authors:  Wang, Qian;  Yan, Hao;  Jin, Yushen;  Wang, Zihua;  Huang, Wenhui;  Qiu, Jia;  Kang, Feiyu;  Wang, Kun;  Zhao, Xinming;  Tian, Jie
Favorite  |  View/Download:2/0  |  Submit date:2019/12/16
Bispecific peptides  Early diagnosis  Molecular imaging  Pancreatic cancer  Theranostics  
Radiogenomics of lower-grade gliomas: a radiomic signature as a biological surrogate for survival prediction 期刊论文
AGING-US, 2018, 卷号: 10, 期号: 10, 页码: 2884-2899
Authors:  Qian, Zenghui;  Li, Yiming;  Sun, Zhiyan;  Fan, Xing;  Xu, Kaibin;  Wang, Kai;  Li, Shaowu;  Zhang, Zhong;  Jiang, Tao;  Liu, Xing;  Wang, Yinyan
Favorite  |  View/Download:10/0  |  Submit date:2019/07/12
gliomas  prognosis  genetics  magnetic resonance imaging  biomarkers  
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
View  |  Adobe PDF(4182Kb)  |  Favorite  |  View/Download:91/24  |  Submit date:2018/10/02
Bispecific Peptides  Early Diagnosis  Molecular Imaging  Pancreatic Cancer  Theranostics  
Genotype prediction of ATRX mutation in lower-grade gliomas using an MRI radiomics signature 期刊论文
EUROPEAN RADIOLOGY, 2018, 卷号: 28, 期号: 7, 页码: 2960-2968
Authors:  Li, Yiming;  Liu, Xing;  Qian, Zenghui;  Sun, Zhiyan;  Xu, Kaibin;  Wang, Kai;  Fan, Xing;  Zhang, Zhong;  Li, Shaowu;  Wang, Yinyan;  Jiang, Tao
Favorite  |  View/Download:53/0  |  Submit date:2018/10/10
Magnetic Resonance Imaging  Genetics  Biomarkers  Glioma  Machine Learning  
Pancreatic cancer imaging and interventional PTT with a human bispecific scfv antibody via click chemistry 期刊论文
CANCER RESEARCH, 2018, 卷号: 78, 期号: 13, 页码: 2
Authors:  Wang, Qian;  Li, Dan;  Wang, Kun;  Liu, Chunyan;  Gao, Mingyuan;  Zhao, Xinming;  Tian, Jie
Adobe PDF(1955Kb)  |  Favorite  |  View/Download:10/1  |  Submit date:2019/07/11
Decentralized adaptive optimal stabilization of nonlinear systems with matched interconnections 期刊论文
SOFT COMPUTING, 2018, 卷号: 22, 期号: 8, 页码: 2705-2715
Authors:  Mu, Chaoxu;  Sun, Changyin;  Wang, Ding;  Song, Aiguo;  Qian, Chengshan
Favorite  |  View/Download:38/0  |  Submit date:2018/10/10
Adaptive Dynamic Programming (Adp)  Interconnected Nonlinear Systems  Neural Networks  Decentralized Control  Matched Interconnections  
An efficient fingerprint identification algorithm based on minutiae and invariant moment 期刊论文
PERSONAL AND UBIQUITOUS COMPUTING, 2018, 卷号: 22, 期号: 1, 页码: 71-80
Authors:  Sang, Jing;  Wang, Hongxia;  Qian, Qing;  Wu, Hanzhou;  Chen, Yi
Favorite  |  View/Download:18/0  |  Submit date:2019/12/16
Fingerprint identification  STFT  Minutiae  Invariant moment  Home entertainment  
MRI features predict p53 status in lower-grade gliomas via a machine-learning approach 期刊论文
NEUROIMAGE-CLINICAL, 2018, 卷号: 17, 页码: 306-311
Authors:  Li, Yiming;  Qian, Zenghui;  Xu, Kaibin;  Wang, Kai;  Fan, Xing;  Li, Shaowu;  Jiang, Tao;  Liu, Xing;  Wang, Yinyan
Favorite  |  View/Download:39/0  |  Submit date:2018/10/10
P53  Lower-grade Gliomas  Radiogenomics  Prediction  Machine Learning  
MRI features can predict EGFR expression in lower grade gliomas: A voxel-based radiomic analysis 期刊论文
EUROPEAN RADIOLOGY, 2018, 卷号: 28, 期号: 1, 页码: 356-362
Authors:  Li, Yiming;  Liu, Xing;  Xu, Kaibin;  Qian, Zenghui;  Wang, Kai;  Fan, Xing;  Li, Shaowu;  Wang, Yinyan;  Jiang, Tao
Favorite  |  View/Download:42/0  |  Submit date:2018/10/10
Radiomics  Lower Grade Glioma  Egfr  Mri  Prediction