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Hierarchical rhythmic propagation of corticothalamic interactions for consciousness: A computational study 期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2024, 卷号: 169, 页码: 10
作者:  Zhang, Qian;  Lu, Han;  Wang, Jihang;  Yang, Taoyi;  Bi, Weida;  Zeng, Yi;  Yu, Buwei
收藏  |  浏览/下载：33/0  |  提交时间：2024/02/21
Corticothalamic model  Spiking neural network  Consciousness  General anesthesia  Anteriorization  
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
收藏  |  浏览/下载：41/0  |  提交时间：2024/02/22
Neurodegenerative diseases  Alzheimer's disease  Heterogeneity  Subtype  Data-driven  
VLP2MSA: Expanding vision-language pre-training to multimodal sentiment analysis 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2024, 卷号: 283, 页码: 9
作者:  Yi, Guofeng;  Fan, Cunhang;  Zhu, Kang;  Lv, Zhao;  Liang, Shan;  Wen, Zhengqi;  Pei, Guanxiong;  Li, Taihao;  Tao, Jianhua
收藏  |  浏览/下载：51/0  |  提交时间：2024/02/22
Multimodal sentiment analysis  Vision-language  Multimodal fusion  
A cross-modal clinical prediction system for intensive care unit patient outcome 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2024, 卷号: 283, 页码: 16
作者:  Sun, Mengxuan;  Yang, Xuebing;  Niu, Jinghao;  Gu, Yifan;  Wang, Chutong;  Zhang, Wensheng
收藏  |  浏览/下载：27/0  |  提交时间：2024/02/21
Electronic health records  Clinical outcome prediction  Patient representation  Cross-modal contrastive learning  
Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics 期刊论文
NATURE COMMUNICATIONS, 2024, 卷号: 15, 期号: 1, 页码: 20
作者:  Zheng, Hanle;  Zheng, Zhong;  Hu, Rui;  Xiao, Bo;  Wu, Yujie;  Yu, Fangwen;  Liu, Xue;  Li, Guoqi;  Deng, Lei
收藏  |  浏览/下载：35/0  |  提交时间：2024/02/21
First magnetic particle imaging to assess pulmonary vascular leakage in vivo in the acutely injured and fibrotic lung 期刊论文
BIOENGINEERING & TRANSLATIONAL MEDICINE, 2023, 页码: 10
作者:  Feng, Xin;  Gao, Pengli;  Li, Yabin;  Hui, Hui;  Jiang, Jingying;  Xie, Fei;  Tian, Jie
收藏  |  浏览/下载：25/0  |  提交时间：2024/02/22
in vivo  lung injury  magnetic particle imaging  quantitative  vascular leakage  
Radiomic signatures reveal multiscale intratumor heterogeneity associated with tissue tolerance and survival in re-irradiated nasopharyngeal carcinoma: a multicenter study 期刊论文
BMC MEDICINE, 2023, 卷号: 21, 期号: 1, 页码: 13
作者:  Liu, Ting;  Dong, Di;  Zhao, Xun;  Ou, Xiao-Min;  Yi, Jun-Lin;  Guan, Jian;  Zhang, Ye;  Xiao-Fei, Lv;  Xie, Chuan-Miao;  Luo, Dong-Hua;  Sun, Rui;  Chen, Qiu-Yan;  Xing, Lv;  Guo, Shan-Shan;  Liu, Li-Ting;  Lin, Da-Feng;  Chen, Yan-Zhou;  Lin, Jie-Yi;  Luo, Mei-Juan;  Yan, Wen-Bin;  He, Mei-Lin;  Mao, Meng-Yuan;  Zhu, Man-Yi;  Chen, Wen-Hui;  Shen, Bo-Wen;  Wang, Shi-Qian;  Li, Hai-Lin;  Zhong, Lian-Zhen;  Hu, Chao-Su;  Wu, De-Hua;  Mai, Hai-Qiang;  Tian, Jie;  Tang, Lin-Quan
收藏  |  浏览/下载：33/0  |  提交时间：2024/02/22
Recurrent nasopharyngeal carcinoma  Re-radiotherapy  Nasopharyngeal necrosis  Radiomics  
ScLSTM: single-cell type detection by siamese recurrent network and hierarchical clustering 期刊论文
BMC BIOINFORMATICS, 2023, 卷号: 24, 期号: 1, 页码: 15
作者:  Jiang, Hanjing;  Huang, Yabing;  Li, Qianpeng;  Feng, Boyuan
收藏  |  浏览/下载：57/0  |  提交时间：2023/12/21
Single-cell  ScRNA-seq  Siamese LSTM  Cell type detection  
Meta-path infomax joint structure enhancement for multiplex network representation learning 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2023, 卷号: 275, 页码: 14
作者:  Yuan, Ruiwen;  Wu, Yajing;  Tang, Yongqiang;  Wang, Junping;  Zhang, Wensheng
收藏  |  浏览/下载：34/0  |  提交时间：2023/11/17
Multiplex network  Graph neural network  Network representation learning  Complementary information  Graph structure learning  
A Spatial-Temporal Approach for Multi-Airport Traffic Flow Prediction Through Causality Graphs 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 13
作者:  Du, Wenbo;  Chen, Shenwen;  Li, Zhishuai;  Cao, Xianbin;  Lv, Yisheng
收藏  |  浏览/下载：82/0  |  提交时间：2023/11/16
Airport traffic flow  predictive models  deep learning  causality graph  spatiotemporal analysis