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Stage-Aware Hierarchical Attentive Relational Network for Diagnosis Prediction 期刊论文
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, 卷号: 36, 期号: 4, 页码: 1773-1784
作者:  Liping Wang;  Qiang Liu;  Mengqi Zhang;  Yaxuan Hu;  Shu Wu;  Liang Wang
Adobe PDF(2088Kb)  |  收藏  |  浏览/下载：19/6  |  提交时间：2024/06/21
Medical diagnostic imaging  Knowledge graphs  Ontologies  Codes  Data models  Predictive models  Graph neural networks  Diagnosis prediction  electronic health record  knowledge graph  relational graph neural network  
The survey on multi-source data fusion in cyber-physical-social systems: Foundational infrastructure for industrial metaverses and industries 5.0 期刊论文
Information Fusion, 2024, 卷号: 107, 页码: 1-16
作者:  Xiao Wang;  Yutong Wang;  Jing Yang;  Xiaofeng Jia;  Lijun Li;  Weiping Ding;  Fei-Yue Wang
Adobe PDF(4446Kb)  |  收藏  |  浏览/下载：32/2  |  提交时间：2024/06/06
Multi-source data fusion  CPSS  Industrial metaverses  Parallel manufacturing  Social manufacturing  
Deciphering the neural mechanisms of miR-134 in major depressive disorder with population-based and person-specific imaging transcriptomic techniques 期刊论文
PSYCHIATRY RESEARCH, 2023, 卷号: 329, 页码: 12
作者:  Lou, Jing;  Liu, Kai;  Wen, Junyan;  He, Yini;  Sun, Yuqing;  Tian, Xiaohan;  Hu, Ke;  Deng, Yanjia;  Liu, Bing;  Wen, Ge
Adobe PDF(7406Kb)  |  收藏  |  浏览/下载：65/6  |  提交时间：2024/02/22
Major depressive disorder (MDD)  miR-134  Two -stage cross -scale imaging transcriptomic  analyses  Biomarkers  Multi-omics  
Unsupervised Dialogue State Tracking for End-to-End Task-Oriented Dialogue with a Multi-Span Prediction Network 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2023, 卷号: 38, 期号: 4, 页码: 834-852
作者:  Liu, Qing-Bin;  He, Shi-Zhu;  Liu, Cao;  Liu, Kang;  Zhao, Jun
收藏  |  浏览/下载：54/0  |  提交时间：2024/02/22
end-to-end task-oriented dialogue  dialogue state tracking (DST)  unsupervised learning  reinforcement learning  
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：132/31  |  提交时间：2024/01/23
Future trends and challenges  humanoid robots  human-robot interaction  key technologies  potential applications  
Two subtypes of schizophrenia identified by an individual-level atypical pattern of tensor-based morphometric measurement 期刊论文
CEREBRAL CORTEX, 2022, 页码: 18
作者:  Shi, Weiyang;  Fan, Lingzhong;  Wang, Haiyan;  Liu, Bing;  Li, Wen;  Li, Jin;  Cheng, Luqi;  Chu, Congying;  Song, Ming;  Sui, Jing;  Luo, Na;  Cui, Yue;  Dong, Zhenwei;  Lu, Yuheng;  Ma, Yawei;  Ma, Liang;  Li, Kaixin;  Chen, Jun;  Chen, Yunchun;  Guo, Hua;  Li, Peng;  Lu, Lin;  Lv, Luxian;  Wan, Ping;  Wang, Huaning;  Wang, Huiling;  Yan, Hao;  Yan, Jun;  Yang, Yongfeng;  Zhang, Hongxing;  Zhang, Dai;  Jiang, Tianzi
Adobe PDF(4129Kb)  |  收藏  |  浏览/下载：495/162  |  提交时间：2022/09/19
schizophrenia  subtype  structural MRI  neuroimaging-clinic association analysis  neuroimaging-transcription association analysis  
Deep learning signatures reveal multiscale intratumor heterogeneity associated with biological functions and survival in recurrent nasopharyngeal carcinoma 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 页码: 11
作者:  Zhao, Xun;  Liang, Yu-Jing;  Zhang, Xu;  Wen, Dong-Xiang;  Fan, Wei;  Tang, Lin-Quan;  Dong, Di;  Tian, Jie;  Mai, Hai-Qiang
Adobe PDF(1720Kb)  |  收藏  |  浏览/下载：350/49  |  提交时间：2022/06/10
Recurrent nasopharyngeal carcinoma  Survival analysis  Radiomics  Deep learning  
CT-based deep learning radiomics analysis for evaluation of serosa invasion in advanced gastric cancer 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 132, 页码: 8
作者:  Sun, Rui-Jia;  Fang, Meng-Jie;  Tang, Lei;  Li, Xiao-Ting;  Lu, Qiao-Yuan;  Dong, Di;  Tian, Jie;  Sun, Ying-Shi
Adobe PDF(3491Kb)  |  收藏  |  浏览/下载：340/60  |  提交时间：2021/01/06
Stomach neoplasms  Multi-detector computed tomography  Radiomics  Deep learning  
Deep Self-Evolution Clustering 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 809-823
作者:  Chang, Jianlong;  Meng, Gaofeng;  Wang, Lingfeng;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(4817Kb)  |  收藏  |  浏览/下载：437/94  |  提交时间：2020/06/02
Task analysis  Unsupervised learning  Training  Clustering methods  Pattern analysis  Clustering  deep self-evolution clustering  self-evolution clustering training  deep unsupervised learning