CASIA OpenIR

浏览/检索结果: 共11条,第1-10条 帮助

限定条件            
已选(0)清除 条数/页:   排序方式:
Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3585-3594
作者:  Li, Cong;  Dong, Di;  Li, Liang;  Gong, Wei;  Li, Xiaohu;  Bai, Yan;  Wang, Meiyun;  Hu, Zhenhua;  Zha, Yunfei;  Tian, Jie
Adobe PDF(2325Kb)  |  收藏  |  浏览/下载:428/65  |  提交时间:2021/03/02
COVID-19  radiomics  deep learning  computed tomography (CT)  
An Interventionalist-Behavior-Based Data Fusion Framework for Guidewire Tracking in Percutaneous Coronary Intervention 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 卷号: 50, 期号: 11, 页码: 4836-4849
作者:  Zhou, Xiao-Hu;  Bian, Gui-Bin;  Xie, Xiao-Liang;  Hou, Zeng-Guang
收藏  |  浏览/下载:317/0  |  提交时间:2021/01/07
Tracking  Sensors  Tools  Catheters  Electromyography  Data integration  Frequency modulation  Data fusion framework  guidewire tracking  interventionalist behavior  percutaneous coronary intervention (PCI)  
Automatic segmentation of intracerebral hemorrhage in CT images using encoder-decoder convolutional neural network 期刊论文
INFORMATION PROCESSING & MANAGEMENT, 2020, 卷号: 57, 期号: 6, 页码: 16
作者:  Hu, Kai;  Chen, Kai;  He, Xizhi;  Zhang, Yuan;  Chen, Zhineng;  Li, Xuanya;  Gao, Xieping
收藏  |  浏览/下载:238/0  |  提交时间:2021/01/06
Intracerebral hemorrhage  Segmentation  Convolutional neural networks  Multi-scale features  Data imbalance  
Pyramid attention recurrent networks for real-time guidewire segmentation and tracking in intraoperative X-ray fluoroscopy 期刊论文
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 2020, 卷号: 83, 页码: 9
作者:  Zhou, Yan-Jie;  Xie, Xiao-Liang;  Zhou, Xiao-Hu;  Liu, Shi-Qi;  Bian, Gui-Bin;  Hou, Zeng-Guang
收藏  |  浏览/下载:265/0  |  提交时间:2020/08/24
Guidewire  Catheter  Segmentation  Deep learning  X-ray fluoroscopy  
Reconstruction of lines and planes of urban buildings with angle regularization 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 卷号: 165, 页码: 54-66
作者:  Wang, Wei;  Gao, Wei;  Cui, Hainan;  Hu, Zhanyi
收藏  |  浏览/下载:270/0  |  提交时间:2020/07/20
Line segment matching  Multi-model fitting  3D reconstruction  Convolutional neural network  
Reconstruction of lines and planes of urban buildings with angle regularization 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 卷号: 165, 页码: 54-66
作者:  Wang, Wei;  Gao, Wei;  Cui, Hainan;  Hu, Zhanyi
收藏  |  浏览/下载:248/0  |  提交时间:2020/07/20
Line segment matching  Multi-model fitting  3D reconstruction  Convolutional neural network  
Non-uniqueness Phenomenon of Object Representation in Modeling IT Cortex by Deep Convolutional Neural Network (DCNN) 期刊论文
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2020, 卷号: 14, 页码: 9
作者:  Dong, Qiulei;  Liu, Bo;  Hu, Zhanyi
Adobe PDF(748Kb)  |  收藏  |  浏览/下载:357/73  |  提交时间:2020/06/22
deep convolutional neural network  neural object representation  inferotemporal cortex  non-uniqueness  image object representation  
Effective piecewise planar modeling based on sparse 3D points and convolutional neural network 期刊论文
NEUROCOMPUTING, 2020, 卷号: 378, 页码: 350-363
作者:  Wang, Wei;  Gao, Wei;  Hu, Zhanyi
收藏  |  浏览/下载:275/0  |  提交时间:2020/03/30
Urban scene  Piecewise planar stereo  Markov Random Field  Image over-segmentation  Convolutional neural network  
Attention-Based Two-Stream Convolutional Networks for Face Spoofing Detection 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2020, 卷号: 15, 页码: 578-593
作者:  Chen, Haonan;  Hu, Guosheng;  Lei, Zhen;  Chen, Yaowu;  Robertson, Neil M.;  Li, Stan Z.
收藏  |  浏览/下载:264/0  |  提交时间:2020/03/30
Face spoofing  multi-scale retinex  deep learning  attention model  feature fusion  
Qualitative and Quantitative Assessment of Technical Skills in Percutaneous Coronary Intervention: In Vivo Porcine Studies 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 卷号: 67, 期号: 2, 页码: 353-364
作者:  Zhou, Xiao-Hu;  Bian, Gui-Bin;  Xie, Xiao-Liang;  Hou, Zeng-Guang;  Li, Rui-Qi;  Zhou, Yan-Jie
收藏  |  浏览/下载:344/0  |  提交时间:2020/03/30
Natural behaviors  percutaneous coronary intervention  assessment framework  qualitative and quantitative assessment  in vivo porcine studies