BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

198 related articles for article (PubMed ID: 34080925)

  • 1. Depression Diagnosis Modeling With Advanced Computational Methods: Frequency-Domain eMVAR and Deep Learning.
    Uyulan C; de la Salle S; Erguzel TT; Lynn E; Blier P; Knott V; Adamson MM; Zelka M; Tarhan N
    Clin EEG Neurosci; 2022 Jan; 53(1):24-36. PubMed ID: 34080925
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Major depressive disorder diagnosis based on effective connectivity in EEG signals: a convolutional neural network and long short-term memory approach.
    Saeedi A; Saeedi M; Maghsoudi A; Shalbaf A
    Cogn Neurodyn; 2021 Apr; 15(2):239-252. PubMed ID: 33854642
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals.
    Ay B; Yildirim O; Talo M; Baloglu UB; Aydin G; Puthankattil SD; Acharya UR
    J Med Syst; 2019 May; 43(7):205. PubMed ID: 31139932
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Estimation of the effective and functional human cortical connectivity with structural equation modeling and directed transfer function applied to high-resolution EEG.
    Astolfi L; Cincotti F; Mattia D; Salinari S; Babiloni C; Basilisco A; Rossini PM; Ding L; Ni Y; He B; Marciani MG; Babiloni F
    Magn Reson Imaging; 2004 Dec; 22(10):1457-70. PubMed ID: 15707795
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Extended causal modeling to assess Partial Directed Coherence in multiple time series with significant instantaneous interactions.
    Faes L; Nollo G
    Biol Cybern; 2010 Nov; 103(5):387-400. PubMed ID: 20938676
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Mental Arithmetic Task Recognition Using Effective Connectivity and Hierarchical Feature Selection From EEG Signals.
    Maghsoudi A; Shalbaf A
    Basic Clin Neurosci; 2021; 12(6):817-826. PubMed ID: 35693148
    [TBL] [Abstract][Full Text] [Related]  

  • 7. EEG-based deep learning model for the automatic detection of clinical depression.
    Thoduparambil PP; Dominic A; Varghese SM
    Phys Eng Sci Med; 2020 Dec; 43(4):1349-1360. PubMed ID: 33090373
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Detection of schizophrenia using hybrid of deep learning and brain effective connectivity image from electroencephalogram signal.
    Bagherzadeh S; Shahabi MS; Shalbaf A
    Comput Biol Med; 2022 Jul; 146():105570. PubMed ID: 35504218
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A novel method for efficient estimation of brain effective connectivity in EEG.
    Khan DM; Yahya N; Kamel N; Faye I
    Comput Methods Programs Biomed; 2023 Jan; 228():107242. PubMed ID: 36423484
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A novel deep-learning model based on τ-shaped convolutional network (τNet) with long short-term memory (LSTM) for physiological fatigue detection from EEG and EOG signals.
    He L; Zhang L; Lin X; Qin Y
    Med Biol Eng Comput; 2024 Jun; 62(6):1781-1793. PubMed ID: 38374416
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A framework for assessing frequency domain causality in physiological time series with instantaneous effects.
    Faes L; Erla S; Porta A; Nollo G
    Philos Trans A Math Phys Eng Sci; 2013 Aug; 371(1997):20110618. PubMed ID: 23858484
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Topographical assessment of neurocortical connectivity by using directed transfer function and partial directed coherence during meditation.
    Shaw L; Routray A
    Cogn Process; 2018 Nov; 19(4):527-536. PubMed ID: 29774480
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Estimation of the time-varying cortical connectivity patterns by the adaptive multivariate estimators in high resolution EEG studies.
    Astolfi L; Cincotti F; Mattia D; Mattiocco M; De Vico Fallani F; Colosimo A; Marciani MG; Hesse W; Zemanova L; Lopez GZ; Kurths J; Zhou C; Babiloni F
    Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():2446-9. PubMed ID: 17946513
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Long Short-Term Memory deep learning network for the prediction of epileptic seizures using EEG signals.
    Tsiouris ΚΜ; Pezoulas VC; Zervakis M; Konitsiotis S; Koutsouris DD; Fotiadis DI
    Comput Biol Med; 2018 Aug; 99():24-37. PubMed ID: 29807250
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automated EEG-based screening of depression using deep convolutional neural network.
    Acharya UR; Oh SL; Hagiwara Y; Tan JH; Adeli H; Subha DP
    Comput Methods Programs Biomed; 2018 Jul; 161():103-113. PubMed ID: 29852953
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Major Depressive Disorder Classification Based on Different Convolutional Neural Network Models: Deep Learning Approach.
    Uyulan C; Ergüzel TT; Unubol H; Cebi M; Sayar GH; Nezhad Asad M; Tarhan N
    Clin EEG Neurosci; 2021 Jan; 52(1):38-51. PubMed ID: 32491928
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Measuring frequency domain granger causality for multiple blocks of interacting time series.
    Faes L; Nollo G
    Biol Cybern; 2013 Apr; 107(2):217-32. PubMed ID: 23358681
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A natural evolution optimization based deep learning algorithm for neurological disorder classification.
    Shams M; Sagheer A
    Biomed Mater Eng; 2020; 31(2):73-94. PubMed ID: 32474459
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Subject-Specific Cognitive Workload Classification Using EEG-Based Functional Connectivity and Deep Learning.
    Gupta A; Siddhad G; Pandey V; Roy PP; Kim BG
    Sensors (Basel); 2021 Oct; 21(20):. PubMed ID: 34695921
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Hand Motor Imagery Classification Using Effective Connectivity and Hierarchical Machine Learning in EEG Signals.
    Maghsoudi A; Shalbaf A
    J Biomed Phys Eng; 2022 Apr; 12(2):161-170. PubMed ID: 35433527
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.