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Hanshu Cai

Showing results (1-10 of 12) with videos related to

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Computational and Mathematical Methods in Medicine|September 27, 2018
EEG-Based Automatic Sleep Staging Using Ontology and Weighting Feature AnalysisBingtao Zhang, Tao Lei, Hong Liu, et al.
Computer Methods and Programs in Biomedicine|October 1, 2016
EEG-based mild depressive detection using feature selection methods and classifiersXiaowei Li, Bin Hu, Shuting Sun, et al.
IEEE Journal of Biomedical and Health Informatics|April 7, 2022
Computer-Aided Recognition Based on Decision-Level Multimodal Fusion for DepressionBingtao Zhang, Hanshu Cai, Yubo Song, et al.
Biomedical Engineering Online|August 13, 2025
Alertness assessment by optical stimulation-induced brainwave entrainment through machine learning classificationYong Zhou, Yizhou Tan, Shasha Wang, et al.
Interdisciplinary Sciences, Computational Life Sciences|May 6, 2018
Study on Feature Selection Methods for Depression Detection Using Three-Electrode EEG DataHanshu Cai, Yunfei Chen, Jiashuo Han, et al.
Interdisciplinary Sciences, Computational Life Sciences|May 4, 2023
Spatial-Temporal EEG Fusion Based on Neural Network for Major Depressive Disorder DetectionBingtao Zhang, Dan Wei, Guanghui Yan, et al.
Frontiers in Neuroscience|April 17, 2023
Editorial: The intersection of artificial intelligence and brain for high-performance neuroprosthesis and cyborg systemsYu Qi, Yu Sun, Quanying Liu, et al.
Medical & Biological Engineering & Computing|February 5, 2025
Transformer-based fusion model for mild depression recognition with EEG and pupil area signalsJing Zhu, Yuanlong Li, Changlin Yang, et al.
Journal of Alzheimer'S Disease : JAD|October 8, 2015
Novel Cortical Thickness Pattern for Accurate Detection of Alzheimer's DiseaseWeihao Zheng, Zhijun Yao, Bin Hu, et al.
IEEE Journal of Biomedical and Health Informatics|May 5, 2025
Double Sparse Dictionary-Based Electroencephalography Channel Selection for Depression AnalysisBingtao Zhang, Chonghui Wang, Na Chen, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Computational and Mathematical Methods in Medicine|September 27, 2018
EEG-Based Automatic Sleep Staging Using Ontology and Weighting Feature AnalysisBingtao Zhang, Tao Lei, Hong Liu, et al.
Computer Methods and Programs in Biomedicine|October 1, 2016
EEG-based mild depressive detection using feature selection methods and classifiersXiaowei Li, Bin Hu, Shuting Sun, et al.
IEEE Journal of Biomedical and Health Informatics|April 7, 2022
Computer-Aided Recognition Based on Decision-Level Multimodal Fusion for DepressionBingtao Zhang, Hanshu Cai, Yubo Song, et al.
Biomedical Engineering Online|August 13, 2025
Alertness assessment by optical stimulation-induced brainwave entrainment through machine learning classificationYong Zhou, Yizhou Tan, Shasha Wang, et al.
Interdisciplinary Sciences, Computational Life Sciences|May 6, 2018
Study on Feature Selection Methods for Depression Detection Using Three-Electrode EEG DataHanshu Cai, Yunfei Chen, Jiashuo Han, et al.
Interdisciplinary Sciences, Computational Life Sciences|May 4, 2023
Spatial-Temporal EEG Fusion Based on Neural Network for Major Depressive Disorder DetectionBingtao Zhang, Dan Wei, Guanghui Yan, et al.
Frontiers in Neuroscience|April 17, 2023
Editorial: The intersection of artificial intelligence and brain for high-performance neuroprosthesis and cyborg systemsYu Qi, Yu Sun, Quanying Liu, et al.
Medical & Biological Engineering & Computing|February 5, 2025
Transformer-based fusion model for mild depression recognition with EEG and pupil area signalsJing Zhu, Yuanlong Li, Changlin Yang, et al.
Journal of Alzheimer'S Disease : JAD|October 8, 2015
Novel Cortical Thickness Pattern for Accurate Detection of Alzheimer's DiseaseWeihao Zheng, Zhijun Yao, Bin Hu, et al.
IEEE Journal of Biomedical and Health Informatics|May 5, 2025
Double Sparse Dictionary-Based Electroencephalography Channel Selection for Depression AnalysisBingtao Zhang, Chonghui Wang, Na Chen, et al.
Pageof 2