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Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: A multicenter study 期刊论文
MEDICAL PHYSICS, 2021, 页码: 12
Authors:  Wu, Xiangjun;  Dong, Di;  Zhang, Lu;  Fang, Mengjie;  Zhu, Yongbei;  He, Bingxi;  Ye, Zhaoxiang;  Zhang, Minming;  Zhang, Shuixing;  Tian, Jie
Adobe PDF(3862Kb)  |  Favorite  |  View/Download：125/5  |  Submit date：2021/05/06
deep learning  peritumor  radiomics  
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：119/7  |  Submit date：2020/07/20
glypican 3  hepatocellular carcinoma  radiomics  noninvasive  nomogram  
SARPNET: Shape attention regional proposal network for liDAR-based 3D object detection 期刊论文
NEUROCOMPUTING, 2020, 卷号: 379, 页码: 53-63
Authors:  Ye, Yangyang;  Chen, Houjin;  Zhang, Chi;  Hao, Xiaoli;  Zhang, Zhaoxiang
Favorite  |  View/Download：124/0  |  Submit date：2020/03/30
Shape attention  3D shape priors  Feature encoder  3D object detection  LiDAR point cloud  
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：329/117  |  Submit date：2019/04/30