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Yike Guo

Showing results (11-20 of 111) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
A new soft material based in-the-ear EEG recording techniqueHao Dong, Paul M Matthews, Yike Guo
Annals of Biomedical Engineering|October 15, 2015
Automatic Sleep Stage Scoring Using Time-Frequency Analysis and Stacked Sparse AutoencodersOrestis Tsinalis, Paul M Matthews, Yike Guo
IEEE Transactions on Bio-Medical Engineering|November 23, 2016
Inferring Individual-Level Variations in the Functional Parcellation of the Cerebral CortexLei Nie, Paul M Matthews, Yike Guo
Brain Informatics|October 18, 2016
Linear Dynamic Sparse Modelling for functional MR imagingShulin Yan, Lei Nie, Chao Wu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Integration of sparse Bayesian learning and random subspace for fMRI Multivariate Pattern AnalysisShulin Yan, Xian Yang, Chao Wu, et al.
Cancers|July 2, 2021
OmiEmbed: A Unified Multi-Task Deep Learning Framework for Multi-Omics DataXiaoyu Zhang, Yuting Xing, Kai Sun, et al.
Briefings in Bioinformatics|August 17, 2021
XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics dataEloise Withnell, Xiaoyu Zhang, Kai Sun, et al.
BMC Public Health|April 15, 2021
Modeling of suppression and mitigation interventions in the COVID-19 epidemicsYuexing Han, Zeyang Xie, Yike Guo, et al.
BMC Bioinformatics|March 1, 2012
Finding consistent disease subnetworks across microarray datasetsDonny Soh, Difeng Dong, Yike Guo, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|July 6, 2017
DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEGAkara Supratak, Hao Dong, Chao Wu, et al.
Pageof 12

Showing results (11-20 of 111) with videos related to

Sort By:
Pageof 12
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
A new soft material based in-the-ear EEG recording techniqueHao Dong, Paul M Matthews, Yike Guo
Annals of Biomedical Engineering|October 15, 2015
Automatic Sleep Stage Scoring Using Time-Frequency Analysis and Stacked Sparse AutoencodersOrestis Tsinalis, Paul M Matthews, Yike Guo
IEEE Transactions on Bio-Medical Engineering|November 23, 2016
Inferring Individual-Level Variations in the Functional Parcellation of the Cerebral CortexLei Nie, Paul M Matthews, Yike Guo
Brain Informatics|October 18, 2016
Linear Dynamic Sparse Modelling for functional MR imagingShulin Yan, Lei Nie, Chao Wu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Integration of sparse Bayesian learning and random subspace for fMRI Multivariate Pattern AnalysisShulin Yan, Xian Yang, Chao Wu, et al.
Cancers|July 2, 2021
OmiEmbed: A Unified Multi-Task Deep Learning Framework for Multi-Omics DataXiaoyu Zhang, Yuting Xing, Kai Sun, et al.
Briefings in Bioinformatics|August 17, 2021
XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics dataEloise Withnell, Xiaoyu Zhang, Kai Sun, et al.
BMC Public Health|April 15, 2021
Modeling of suppression and mitigation interventions in the COVID-19 epidemicsYuexing Han, Zeyang Xie, Yike Guo, et al.
BMC Bioinformatics|March 1, 2012
Finding consistent disease subnetworks across microarray datasetsDonny Soh, Difeng Dong, Yike Guo, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|July 6, 2017
DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEGAkara Supratak, Hao Dong, Chao Wu, et al.
Pageof 12