These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

135 related articles for article (PubMed ID: 38457065)

  • 21. Feature extraction of four-class motor imagery EEG signals based on functional brain network.
    Ai Q; Chen A; Chen K; Liu Q; Zhou T; Xin S; Ji Z
    J Neural Eng; 2019 Apr; 16(2):026032. PubMed ID: 30699389
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI.
    Zhang Y; Nam CS; Zhou G; Jin J; Wang X; Cichocki A
    IEEE Trans Cybern; 2019 Sep; 49(9):3322-3332. PubMed ID: 29994667
    [TBL] [Abstract][Full Text] [Related]  

  • 23. EEG-inception: an accurate and robust end-to-end neural network for EEG-based motor imagery classification.
    Zhang C; Kim YK; Eskandarian A
    J Neural Eng; 2021 Mar; 18(4):. PubMed ID: 33691299
    [No Abstract]   [Full Text] [Related]  

  • 24. GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-Resolved EEG Motor Imagery Signals.
    Hou Y; Jia S; Lun X; Hao Z; Shi Y; Li Y; Zeng R; Lv J
    IEEE Trans Neural Netw Learn Syst; 2024 Jun; 35(6):7312-7323. PubMed ID: 36099220
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Self-attention-based convolutional neural network and time-frequency common spatial pattern for enhanced motor imagery classification.
    Zhang R; Liu G; Wen Y; Zhou W
    J Neurosci Methods; 2023 Oct; 398():109953. PubMed ID: 37611877
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A flexible analytic wavelet transform based approach for motor-imagery tasks classification in BCI applications.
    Chaudhary S; Taran S; Bajaj V; Siuly S
    Comput Methods Programs Biomed; 2020 Apr; 187():105325. PubMed ID: 31964514
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Multi-scale self-attention approach for analysing motor imagery signals in brain-computer interfaces.
    Bhatt MW; Sharma S
    J Neurosci Methods; 2024 Aug; 408():110182. PubMed ID: 38795979
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A Novel Classification Framework Using the Graph Representations of Electroencephalogram for Motor Imagery Based Brain-Computer Interface.
    Jin J; Sun H; Daly I; Li S; Liu C; Wang X; Cichocki A
    IEEE Trans Neural Syst Rehabil Eng; 2022; 30():20-29. PubMed ID: 34962871
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A Multifrequency Brain Network-Based Deep Learning Framework for Motor Imagery Decoding.
    Xue J; Ren F; Sun X; Yin M; Wu J; Ma C; Gao Z
    Neural Plast; 2020; 2020():8863223. PubMed ID: 33505456
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Golden subject is everyone: A subject transfer neural network for motor imagery-based brain computer interfaces.
    Sun B; Wu Z; Hu Y; Li T
    Neural Netw; 2022 Jul; 151():111-120. PubMed ID: 35405471
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A Combined Virtual Electrode-Based ESA and CNN Method for MI-EEG Signal Feature Extraction and Classification.
    Lun X; Zhang Y; Zhu M; Lian Y; Hou Y
    Sensors (Basel); 2023 Nov; 23(21):. PubMed ID: 37960592
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Horizontal visibility graph transfer entropy (HVG-TE): A novel metric to characterize directed connectivity in large-scale brain networks.
    Yu M; Hillebrand A; Gouw AA; Stam CJ
    Neuroimage; 2017 Aug; 156():249-264. PubMed ID: 28539247
    [TBL] [Abstract][Full Text] [Related]  

  • 33. EEG classification across sessions and across subjects through transfer learning in motor imagery-based brain-machine interface system.
    Zheng M; Yang B; Xie Y
    Med Biol Eng Comput; 2020 Jul; 58(7):1515-1528. PubMed ID: 32394192
    [TBL] [Abstract][Full Text] [Related]  

  • 34. EEG-FMCNN: A fusion multi-branch 1D convolutional neural network for EEG-based motor imagery classification.
    Wang W; Li B; Wang H; Wang X; Qin Y; Shi X; Liu S
    Med Biol Eng Comput; 2024 Jan; 62(1):107-120. PubMed ID: 37728715
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interface.
    Mattioli F; Porcaro C; Baldassarre G
    J Neural Eng; 2022 Jan; 18(6):. PubMed ID: 34920443
    [No Abstract]   [Full Text] [Related]  

  • 36. Classification of Motor Imagery Electroencephalography Signals Based on Image Processing Method.
    Chen Z; Wang Y; Song Z
    Sensors (Basel); 2021 Jul; 21(14):. PubMed ID: 34300386
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Feature learning framework based on EEG graph self-attention networks for motor imagery BCI systems.
    Sun H; Jin J; Daly I; Huang Y; Zhao X; Wang X; Cichocki A
    J Neurosci Methods; 2023 Nov; 399():109969. PubMed ID: 37683772
    [TBL] [Abstract][Full Text] [Related]  

  • 38. ADFCNN: Attention-Based Dual-Scale Fusion Convolutional Neural Network for Motor Imagery Brain-Computer Interface.
    Tao W; Wang Z; Wong CM; Jia Z; Li C; Chen X; Chen CLP; Wan F
    IEEE Trans Neural Syst Rehabil Eng; 2024; 32():154-165. PubMed ID: 38090841
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Classification of Right/Left Hand Motor Imagery by Effective Connectivity Based on Transfer Entropy in Electroencephalogram Signal.
    Rezaei E; Shalbaf A
    Basic Clin Neurosci; 2023; 14(2):213-224. PubMed ID: 38107527
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Multiclass classification of motor imagery tasks based on multi-branch convolutional neural network and temporal convolutional network model.
    Yu S; Wang Z; Wang F; Chen K; Yao D; Xu P; Zhang Y; Wang H; Zhang T
    Cereb Cortex; 2024 Jan; 34(2):. PubMed ID: 38183186
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.