中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共50条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Simultaneously Calibration of Multi Hand-Eye Robot System Based on Graph 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 卷号: 71, 期号: 5, 页码: 5010-5020
作者:  Zhou, Zishun;  Ma, Liping;  Liu, Xilong;  Cao, Zhiqiang;  Yu, Junzhi
收藏  |  浏览/下载：18/0  |  提交时间：2024/03/26
Calibration  error correction  graph theory  multirobot systems  robot vision systems.  
Tumor Mutation Burden-Related Histopathologic Features for Predicting Overall Survival in Gliomas Using Graph Deep Learning 期刊论文
AMERICAN JOURNAL OF PATHOLOGY, 2023, 卷号: 193, 期号: 12, 页码: 2111-2121
作者:  Sun, Caixia;  Luo, Tao;  Liu, Zhenyu;  Ge, Jia;  Shao, Lizhi;  Liu, Xiangyu;  Li, Bao;  Zhang, Song;  Qiu, Qi;  Wei, Wei;  Wang, Shuo;  Bian, Xiu-Wu;  Tian, Jie
收藏  |  浏览/下载：69/0  |  提交时间：2024/02/22
Key-Part Attention Retrieval for Robotic Object Recognition 期刊论文
TSINGHUA SCIENCE AND TECHNOLOGY, 2024, 卷号: 29, 期号: 3, 页码: 644-655
作者:  Liu, Jierui;  Cao, Zhiqiang;  Tang, Yingbo
收藏  |  浏览/下载：42/0  |  提交时间：2024/02/22
Training  Visualization  Image recognition  Cameras  Object recognition  Convolutional neural networks  Data mining  key-part attention  retrieval  robotic object recognition  
Simultaneously Calibration of Multi HandEye Robot System Based on Graph 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2024, 卷号: 71, 期号: 5, 页码: 5010-5020
作者:  Zhou, Zishun;  Ma, Liping;  Liu, Xilong;  Cao, Zhiqiang;  Yu, Junzhi
收藏  |  浏览/下载：56/0  |  提交时间：2024/02/20
Calibration  error correction  graph theory  multirobot systems  robot vision systems  
Soft Magnetic Skin's Deformation Analysis for Tactile Perception 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 卷号: 70, 期号: 12, 页码: 12883-12893
作者:  Gui, Mei-Jiang;  Zhou, Xiao-Hu;  Xie, Xiao-Liang;  Liu, Shi-Qi;  Feng, Zhen-Qiu;  Hou, Zeng-Guang
收藏  |  浏览/下载：100/0  |  提交时间：2023/11/17
Soft magnetic skins  deformations analy-sis  dynamic Young's modulus (DYM)  finite-element simu-lation  tactile perception  
MRI-derived radiomics models for diagnosis, aggressiveness, and prognosis evaluation in prostate cancer 期刊论文
JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE B, 2023, 卷号: 24, 期号: 8, 页码: 663-681
作者:  Zhu, Xuehua;  Shao, Lizhi;  Liu, Zhenyu;  Liu, Zenan;  He, Jide;  Liu, Jiangang;  Ping, Hao;  Lu, Jian
收藏  |  浏览/下载：99/0  |  提交时间：2023/11/17
Magnetic resonance imaging (MRI)  Radiomics  Prostate cancer  Predictive model  
NIR-IIb Fluorescence Molecular Tomography of Glioblastomas Based on Heterogeneous Mouse Models and Adaptive Projection Match Pursuit Method 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2023, 卷号: 70, 期号: 8, 页码: 2258-2269
作者:  Shi, Xiaojing;  Guo, Lishuang;  Liu, Jiangang;  Tian, Jie;  Hu, Zhenhua
收藏  |  浏览/下载：97/0  |  提交时间：2023/11/17
Adaptive projection matching pursuit method  fluorescence molecular tomography  glioblastoma  NIR-IIb  
A Novel Biologically Inspired Structural Model for Feature Correspondence 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 2, 页码: 844-854
作者:  Lu, Yan-Feng;  Yang, Xu;  Li, Yi;  Yu, Qian;  Liu, Zhi-Yong;  Qiao, Hong
收藏  |  浏览/下载：111/0  |  提交时间：2023/11/17
Visualization  Biological system modeling  Biology  Brain modeling  Biological information theory  Task analysis  Strain  Appearance feature descriptor  biologically inspired model  feature correspondence  feature representation  graph matching (GM)  graph structure  
Discrete soft actor-critic with auto-encoder on vascular robotic system 期刊论文
ROBOTICA, 2022, 页码: 12
作者:  Li, Hao;  Zhou, Xiao-Hu;  Xie, Xiao-Liang;  Liu, Shi-Qi;  Gui, Mei-Jiang;  Xiang, Tian-Yu;  Wang, Jin-Li;  Hou, Zeng-Guang
收藏  |  浏览/下载：218/0  |  提交时间：2023/01/09
surgical robots  vascular robotic system  automation  reinforcement learning  deep neural network  
Patient-level grading prediction of prostate cancer from mp-MRI via GMINet 期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 卷号: 150, 页码: 10
作者:  Shao, Lizhi;  Liu, Zhenyu;  Liu, Jiangang;  Yan, Ye;  Sun, Kai;  Liu, Xiangyu;  Lu, Jian;  Tian, Jie
收藏  |  浏览/下载：184/0  |  提交时间：2022/11/21
mp-MRI  Prostate cancer  Grade group  Patient-level prediction  Deep learning