中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共9条，第1-9条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
A two-center radiomic analysis for differentiating major depressive disorder using multi-modality MRI data under different parcellation methods 期刊论文
JOURNAL OF AFFECTIVE DISORDERS, 2022, 卷号: 300, 页码: 1-9
作者:  Sun, Kai;  Liu, Zhenyu;  Chen, Guanmao;  Zhou, Zhifeng;  Zhong, Shuming;  Tang, Zhenchao;  Wang, Shuo;  Zhou, Guifei;  Zhou, Xuezhi;  Shao, Lizhi;  Ye, Xiaoying;  Zhang, Yingli;  Jia, Yanbin;  Pan, Jiyang;  Huang, Li;  Liu, Xia;  Liu, Jiangang;  Tian, Jie;  Wang, Ying
收藏  |  浏览/下载：259/0  |  提交时间：2022/02/16
Major depressive disorder  rs-fMRI  VBM  Radiomics  Classification  
Commissioning and clinical implementation of an Autoencoder based Classification-Regression model for VMAT patient-specific QA in a multi-institution scenario 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2021, 卷号: 161, 期号: 10.1016/j.radonc.2021.06.024, 页码: 230-240
作者:  Yang, Ruijie;  Yang, Xueying;  Wang, Le;  Li, Dingjie;  Guo, Yuexin;  Li, Ying;  Guan, Yumin;  Wu, Xiangyang;  Xu, Shouping;  Zhang, Shuming;  Chan, Maria F.;  Geng, Lisheng;  Sui, Jing
Adobe PDF(2840Kb)  |  收藏  |  浏览/下载：327/55  |  提交时间：2021/11/02
Machine learning  VMAT patient-specific QA  Multi-institution validation  Commissioning  Clinical implementation  
Multi-task autoencoder based classification-regression model for patient-specific VMAT QA 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2020, 卷号: 65, 期号: 23, 页码: 12
作者:  Wang, Le;  Li, Jiaqi;  Zhang, Shuming;  Zhang, Xile;  Zhang, Qilin;  Chan, Maria F.;  Yang, Ruijie;  Sui, Jing
Adobe PDF(926Kb)  |  收藏  |  浏览/下载：382/82  |  提交时间：2021/01/06
VMAT QA  patient-specific QA  deep learning  radiotherapy  
An Enhanced Feature Pyramid Object Detection Network for Autonomous Driving 期刊论文
APPLIED SCIENCES-BASEL, 2019, 卷号: 9, 期号: 20, 页码: 15
作者:  Wu, Yutian;  Tang, Shuming;  Zhang, Shuwei;  Ogai, Harutoshi
浏览  |  Adobe PDF(6078Kb)  |  收藏  |  浏览/下载：283/70  |  提交时间：2020/03/30
object detection  feature pyramid network  feature recalibration  context embedding  autonomous driving systems  augmented reality  
Stereo Visual Odometry with Light and Adaptive Feature Tracking 会议论文
, 中国厦门, 2019.7.5-2019.7.7
作者:  Xin Huang;  Shuming Tang;  Lifu Zhang;  Haibing Zhu;  Qingxiu Du
Adobe PDF(781Kb)  |  收藏  |  浏览/下载：242/81  |  提交时间：2020/06/11
stereo visual odomerty  feature tracking  VINS-Fusion  bi-circular check  adaptive feature selection  
A Framework for Cars to Join or Leave a Car Formation 会议论文
, Brazil, 2016.11.1-4
作者:  Fanshou Zhang;  Shuming Tang;  Dong Shen
浏览  |  Adobe PDF(391Kb)  |  收藏  |  浏览/下载：145/34  |  提交时间：2020/10/27
A robust road segmentation method based on graph cut with learnable neighboring link weights 会议论文
, Qingdao, China, 2014
作者:  Jun Yuan;  Shuming Tang;  Fei Wang;  H. Zhang
浏览  |  Adobe PDF(1789Kb)  |  收藏  |  浏览/下载：143/47  |  提交时间：2020/10/28
Road Segmentation, learnable neighboring link weights, advanced driver assistance systems, monocular vision  
DynaCAS: Computational Experiments and Decision Support for ITS 期刊论文
IEEE INTELLIGENT SYSTEMS, 2008, 卷号: 23, 期号: 6, 页码: 19-23
作者:  Zhang, Nan;  Wang, Fei-Yue;  Zhu, Fenghua;  Zhao, Dongbin;  Tang, Shuming
浏览  |  Adobe PDF(586Kb)  |  收藏  |  浏览/下载：320/75  |  提交时间：2015/11/08
Dynacas  Computational Experiments  Decision Support  Its  
DynaCAS: Computational Experiments and Decision Support for ITS 期刊论文
IEEE INTELLIGENT SYSTEMS, 2008, 卷号: 23, 期号: 6, 页码: 19-23
作者:  Zhang, Nan;  Wang, Fei-Yue;  Zhu, Fenghua;  Zhao, Dongbin;  Tang, Shuming
浏览  |  Adobe PDF(586Kb)  |  收藏  |  浏览/下载：263/46  |  提交时间：2015/11/08
Dynacas  Computational Experiments  Decision Support  Its