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 *

329 related articles for article (PubMed ID: 31059799)

  • 1. Adaptive neural network classifier for decoding MEG signals.
    Zubarev I; Zetter R; Halme HL; Parkkonen L
    Neuroimage; 2019 Aug; 197():425-434. PubMed ID: 31059799
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automated model selection in covariance estimation and spatial whitening of MEG and EEG signals.
    Engemann DA; Gramfort A
    Neuroimage; 2015 Mar; 108():328-42. PubMed ID: 25541187
    [TBL] [Abstract][Full Text] [Related]  

  • 3. EEGNet: a compact convolutional neural network for EEG-based brain-computer interfaces.
    Lawhern VJ; Solon AJ; Waytowich NR; Gordon SM; Hung CP; Lance BJ
    J Neural Eng; 2018 Oct; 15(5):056013. PubMed ID: 29932424
    [TBL] [Abstract][Full Text] [Related]  

  • 4. fMRI volume classification using a 3D convolutional neural network robust to shifted and scaled neuronal activations.
    Vu H; Kim HC; Jung M; Lee JH
    Neuroimage; 2020 Dec; 223():117328. PubMed ID: 32896633
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Differences between MEG and high-density EEG source localizations using a distributed source model in comparison to fMRI.
    Klamer S; Elshahabi A; Lerche H; Braun C; Erb M; Scheffler K; Focke NK
    Brain Topogr; 2015 Jan; 28(1):87-94. PubMed ID: 25296614
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Deep Convolutional Neural Networks for Feature-Less Automatic Classification of Independent Components in Multi-Channel Electrophysiological Brain Recordings.
    Croce P; Zappasodi F; Marzetti L; Merla A; Pizzella V; Chiarelli AM
    IEEE Trans Biomed Eng; 2019 Aug; 66(8):2372-2380. PubMed ID: 30582523
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A convolutional neural network for steady state visual evoked potential classification under ambulatory environment.
    Kwak NS; Müller KR; Lee SW
    PLoS One; 2017; 12(2):e0172578. PubMed ID: 28225827
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Convolutional neural networks for P300 detection with application to brain-computer interfaces.
    Cecotti H; Gräser A
    IEEE Trans Pattern Anal Mach Intell; 2011 Mar; 33(3):433-45. PubMed ID: 20567055
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Portable brain-computer interface based on novel convolutional neural network.
    Zhang Y; Zhang X; Sun H; Fan Z; Zhong X
    Comput Biol Med; 2019 Apr; 107():248-256. PubMed ID: 30856388
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Decoding magnetoencephalographic rhythmic activity using spectrospatial information.
    Kauppi JP; Parkkonen L; Hari R; Hyvärinen A
    Neuroimage; 2013 Dec; 83():921-36. PubMed ID: 23872494
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Interpretable many-class decoding for MEG.
    Csaky R; van Es MWJ; Jones OP; Woolrich M
    Neuroimage; 2023 Nov; 282():120396. PubMed ID: 37805019
    [TBL] [Abstract][Full Text] [Related]  

  • 12. MEG-based decoding of the spatiotemporal dynamics of visual category perception.
    van de Nieuwenhuijzen ME; Backus AR; Bahramisharif A; Doeller CF; Jensen O; van Gerven MA
    Neuroimage; 2013 Dec; 83():1063-73. PubMed ID: 23927900
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Integrated MEG/EEG and fMRI model based on neural masses.
    Babajani A; Soltanian-Zadeh H
    IEEE Trans Biomed Eng; 2006 Sep; 53(9):1794-801. PubMed ID: 16941835
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Convolutional neural networks for decoding of covert attention focus and saliency maps for EEG feature visualization.
    Farahat A; Reichert C; Sweeney-Reed CM; Hinrichs H
    J Neural Eng; 2019 Oct; 16(6):066010. PubMed ID: 31416059
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Decoding across sensory modalities reveals common supramodal signatures of conscious perception.
    Sanchez G; Hartmann T; Fuscà M; Demarchi G; Weisz N
    Proc Natl Acad Sci U S A; 2020 Mar; 117(13):7437-7446. PubMed ID: 32184331
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Consistency and similarity of MEG- and fMRI-signal time courses during movie viewing.
    Lankinen K; Saari J; Hlushchuk Y; Tikka P; Parkkonen L; Hari R; Koskinen M
    Neuroimage; 2018 Jun; 173():361-369. PubMed ID: 29486325
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Change-driven cortical activation in multisensory environments: an MEG study.
    Tanaka E; Kida T; Inui K; Kakigi R
    Neuroimage; 2009 Nov; 48(2):464-74. PubMed ID: 19559795
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Applying Common Spatial Pattern and Convolutional Neural Network to Classify Movements via EEG Signals.
    Zolfaghari S; Yousefi Rezaii T; Meshgini S
    Clin EEG Neurosci; 2024 Jul; 55(4):486-495. PubMed ID: 38523306
    [TBL] [Abstract][Full Text] [Related]  

  • 19. On the Vulnerability of CNN Classifiers in EEG-Based BCIs.
    Zhang X; Wu D
    IEEE Trans Neural Syst Rehabil Eng; 2019 May; 27(5):814-825. PubMed ID: 30951472
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Decoding the auditory brain with canonical component analysis.
    de Cheveigné A; Wong DDE; Di Liberto GM; Hjortkjær J; Slaney M; Lalor E
    Neuroimage; 2018 May; 172():206-216. PubMed ID: 29378317
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.