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FFCM-MRF: An accurate and generalizable cerebrovascular segmentation pipeline for humans and rhesus monkeys based on TOF-MRA 期刊论文
Computers in Biology and Medicine, 2024, 卷号: 170, 页码: 107996
作者:  Yue Cui;  Haibin Huang;  Jialu Liu;  Mingyang Zhao;  Chengyi Li;  Xinyong Han;  Na Luo;  Jinquan Gao;  Dong-ming Yan;  Chen Zhang;  Tianzi Jiang;  Shan Yu
Adobe PDF(985Kb)  |  收藏  |  浏览/下载：62/12  |  提交时间：2024/06/21
Cerebral vessels  Generalization  Markov random field  Segmentation  TOF-MRA  Unsupervised learning  
SocialVis: Dynamic Social Visualization in Dense Scenes via Real-time Multi-Object Tracking and Proximity Graph Construction 期刊论文
Computer Animation and Virtual Worlds, 2024, 卷号: 35, 期号: 3, 页码: 1-15
作者:  Li BW(李博文);  Li W(李巍);  Wang JQ(王镜淇);  Meng WL(孟维亮);  Zhang JG(张吉光);  Zhang XP(张晓鹏)
Adobe PDF(2914Kb)  |  收藏  |  浏览/下载：62/12  |  提交时间：2024/06/04
dense pedestrian  detection  multi-object tracking  proximity graph  visualization  
Target-Following Control of a Biomimetic Autonomous System Based on Predictive Reinforcement Learning 期刊论文
BIOMIMETICS, 2024, 卷号: 9, 期号: 1, 页码: 19
作者:  Wang, Yu;  Wang, Jian;  Kang, Song;  Yu, Junzhi
Adobe PDF(1553Kb)  |  收藏  |  浏览/下载：98/24  |  提交时间：2024/03/26
biomimetic motion  biomimetic autonomous system  target following  deep reinforcement learning  predictive control  
Robustly uncovering the heterogeneity of neurodegenerative disease by using data-driven subtyping in neuroimaging: A review 期刊论文
Brain research, 2024, 卷号: 1823, 页码: 13
作者:  Chen, Pindong;  Zhang, Shirui;  Zhao, Kun;  Kang, Xiaopeng;  Rittman, Timothy;  Liu, Yong
Adobe PDF(1130Kb)  |  收藏  |  浏览/下载：115/5  |  提交时间：2024/02/22
Neurodegenerative diseases  Alzheimer's disease  Heterogeneity  Subtype  Data-driven  
Advancements in Humanoid Robots: A Comprehensive Review and Future Prospects 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 301-328
作者:  Yuchuang Tong;  Haotian Liu;  Zhengtao Zhang
Adobe PDF(7587Kb)  |  收藏  |  浏览/下载：198/59  |  提交时间：2024/01/23
Future trends and challenges  humanoid robots  human-robot interaction  key technologies  potential applications