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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：46/9  |  提交时间：2024/06/21
Cerebral vessels  Generalization  Markov random field  Segmentation  TOF-MRA  Unsupervised learning  
NPR: Nocturnal Place Recognition Using Nighttime Translation in Large-Scale Training Procedures 期刊论文
IEEE Journal of Selected Topics in Signal Processing, 2024, 卷号: Early Access, 页码: 1-13
作者:  Liu Bingxi;  Fu Yujie;  Lu Feng;  Cui Jinqiang;  Wu Yihong;  Zhang Hong
Adobe PDF(12989Kb)  |  收藏  |  浏览/下载：31/10  |  提交时间：2024/06/20
Visual Place Recognition  Robotic Vision  Image- to-Image Translation  Night Computer Vision  
EFCPose: End-to-End Multi-Person Pose Estimation with Fully Convolutional Heads 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 页码: early access
作者:  Wang Haixin;  Zhou Lu;  Chen Yingying;  Wang Jinqiao
Adobe PDF(4407Kb)  |  收藏  |  浏览/下载：37/12  |  提交时间：2024/06/03
Efficient multimodal transformer with dual-level feature restoration for robust multimodal sentiment analysis 期刊论文
IEEE Transactions on Affective Computing, 2023, 卷号: 15, 期号: 1, 页码: 1-17
作者:  Licai Sun;  Zheng Lian;  Bin Liu;  Jianhua Tao
Adobe PDF(2371Kb)  |  收藏  |  浏览/下载：65/18  |  提交时间：2024/05/31
Transformers  Robustness  Semantics  Data models  Computational modeling  Videos  Training  Multimodal sentiment analysis  unaligned and incomplete data  efficient multimodal Transformer  dual-level feature restoration  robustness  
Elucidating Iron Metabolism through Molecular Imaging 期刊论文
CURRENT ISSUES IN MOLECULAR BIOLOGY, 2024, 卷号: 46, 期号: 4, 页码: 2798-2818
作者:  Liao, Feifei;  Yang, Wenwen;  Long, Linzi;  Yu, Ruotong;  Qu, Hua;  Peng, Yuxuan;  Lu, Jieming;  Ren, Chenghuan;  Wang, Yueqi;  Fu, Changgeng
Adobe PDF(4011Kb)  |  收藏  |  浏览/下载：75/24  |  提交时间：2024/05/30
iron metabolism  molecular mechanism  molecular imaging technology  visualization  iron homeostasis  
Enhancing ENSO predictions with self-attention ConvLSTM and temporal embeddings 期刊论文
Frontiers in Marine Science, 2024, 卷号: 11, 页码: 1334210
作者:  Rui, Chuang;  Sun, Zhengya;  Zhang, Wensheng;  Liu, Anan;  Wei, Zhiqiang
Adobe PDF(14474Kb)  |  收藏  |  浏览/下载：38/11  |  提交时间：2024/05/28
El Niño-Southern Oscillation (ENSO)  deep learning for ENSO prediction  self-attention ConvLSTM  temporal embeddings  spring prediction barrier  
PLJ-SLAM: Monocular Visual SLAM With Points, Lines, and Junctions of Coplanar Lines 期刊论文
IEEE Sensors Journal, 2022, 卷号: 22, 期号: 15, 页码: 15465-15476
作者:  Ren, Guangli;  Cao, Zhiqiang;  Liu, Xilong;  Tan, Min;  Yu, Junzhi
Adobe PDF(4784Kb)  |  收藏  |  浏览/下载：36/7  |  提交时间：2024/05/28
Preformer: Simple and Efficient Design for Precipitation Nowcasting With Transformers 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2024, 卷号: 21, 页码: 5
作者:  Jin, Qizhao;  Zhang, Xinbang;  Xiao, Xinyu;  Wang, Ying;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(6713Kb)  |  收藏  |  浏览/下载：65/3  |  提交时间：2024/03/26
Data mining  Precipitation nowcastin  Transformer  
Fusion Networks of CNN and Transformer with Channel Attention for Accurate Tumor Imaging in Magnetic Particle Imaging 期刊论文
BIOLOGY-BASEL, 2024, 卷号: 13, 期号: 1, 页码: 17
作者:  Shang, Yaxin;  Liu, Jie;  Wang, Yueqi;  Bertrand, Helene
Adobe PDF(15462Kb)  |  收藏  |  浏览/下载：79/11  |  提交时间：2024/03/26
magnetic particle imaging  convolutional neural network  transformer  tumor imaging  accurate quantification  
Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1022-1038
作者:  Xiao Xue;  Deyu Zhou;  Xiangning Yu;  Gang Wang;  Juanjuan Li;  Xia Xie;  Lizhen Cui;  Fei-Yue Wang
Adobe PDF(7239Kb)  |  收藏  |  浏览/下载：69/17  |  提交时间：2024/03/18
Agent-based modeling  computational experiments  cyber-physical-social systems (CPSS)  generative deduction  generative experiments  meta model