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 *

218 related articles for article (PubMed ID: 32327965)

  • 1. Deep Learning Convolutional Neural Networks Discriminate Adult ADHD From Healthy Individuals on the Basis of Event-Related Spectral EEG.
    Dubreuil-Vall L; Ruffini G; Camprodon JA
    Front Neurosci; 2020; 14():251. PubMed ID: 32327965
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep Learning With EEG Spectrograms in Rapid Eye Movement Behavior Disorder.
    Ruffini G; Ibañez D; Castellano M; Dubreuil-Vall L; Soria-Frisch A; Postuma R; Gagnon JF; Montplaisir J
    Front Neurol; 2019; 10():806. PubMed ID: 31417485
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Neurological state changes indicative of ADHD in children learned via EEG-based LSTM networks.
    Chang Y; Stevenson C; Chen IC; Lin DS; Ko LW
    J Neural Eng; 2022 Feb; 19(1):. PubMed ID: 35081524
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Diagnose ADHD disorder in children using convolutional neural network based on continuous mental task EEG.
    Moghaddari M; Lighvan MZ; Danishvar S
    Comput Methods Programs Biomed; 2020 Dec; 197():105738. PubMed ID: 32927404
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Diagnostic value of resting electroencephalogram in attention-deficit/hyperactivity disorder across the lifespan.
    Liechti MD; Valko L; Müller UC; Döhnert M; Drechsler R; Steinhausen HC; Brandeis D
    Brain Topogr; 2013 Jan; 26(1):135-51. PubMed ID: 23053601
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Use of deep learning to detect personalized spatial-frequency abnormalities in EEGs of children with ADHD.
    Chen H; Song Y; Li X
    J Neural Eng; 2019 Nov; 16(6):066046. PubMed ID: 31398717
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep learning for electroencephalogram (EEG) classification tasks: a review.
    Craik A; He Y; Contreras-Vidal JL
    J Neural Eng; 2019 Jun; 16(3):031001. PubMed ID: 30808014
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The Hybrid Deep Learning Model for Identification of Attention-Deficit/Hyperactivity Disorder Using EEG.
    Chugh N; Aggarwal S; Balyan A
    Clin EEG Neurosci; 2024 Jan; 55(1):22-33. PubMed ID: 37682533
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Classification of attention deficit/hyperactivity disorder based on EEG signals using a EEG-Transformer model
    He Y; Wang X; Yang Z; Xue L; Chen Y; Ji J; Wan F; Mukhopadhyay SC; Men L; Tong MCF; Li G; Chen S
    J Neural Eng; 2023 Sep; 20(5):. PubMed ID: 37683665
    [No Abstract]   [Full Text] [Related]  

  • 11. Effects of spectral features of EEG signals recorded with different channels and recording statuses on ADHD classification with deep learning.
    Tosun M
    Phys Eng Sci Med; 2021 Sep; 44(3):693-702. PubMed ID: 34043150
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Spectral features based convolutional neural network for accurate and prompt identification of schizophrenic patients.
    Singh K; Singh S; Malhotra J
    Proc Inst Mech Eng H; 2021 Feb; 235(2):167-184. PubMed ID: 33124526
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A deep learning method for single-trial EEG classification in RSVP task based on spatiotemporal features of ERPs.
    Zang B; Lin Y; Liu Z; Gao X
    J Neural Eng; 2021 Aug; 18(4):. PubMed ID: 34284365
    [No Abstract]   [Full Text] [Related]  

  • 14. Inter-subject transfer learning with an end-to-end deep convolutional neural network for EEG-based BCI.
    Fahimi F; Zhang Z; Goh WB; Lee TS; Ang KK; Guan C
    J Neural Eng; 2019 Apr; 16(2):026007. PubMed ID: 30524056
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Validating Deep Neural Networks for Online Decoding of Motor Imagery Movements from EEG Signals.
    Tayeb Z; Fedjaev J; Ghaboosi N; Richter C; Everding L; Qu X; Wu Y; Cheng G; Conradt J
    Sensors (Basel); 2019 Jan; 19(1):. PubMed ID: 30626132
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identifying ADHD and subtypes through microstates analysis and complex networks.
    Alves LM; Côco KF; De Souza ML; Ciarelli PM
    Med Biol Eng Comput; 2024 Mar; 62(3):687-700. PubMed ID: 37985601
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Separated Channel Attention Convolutional Neural Network (SC-CNN-Attention) to Identify ADHD in Multi-Site Rs-fMRI Dataset.
    Zhang T; Li C; Li P; Peng Y; Kang X; Jiang C; Li F; Zhu X; Yao D; Biswal B; Xu P
    Entropy (Basel); 2020 Aug; 22(8):. PubMed ID: 33286662
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Event Related Potentials (ERPs) and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder (ADHD).
    Ogrim G; Kropotov JD
    J Vis Exp; 2020 Mar; (157):. PubMed ID: 32225146
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Diagnostic utility of brain activity flow patterns analysis in attention deficit hyperactivity disorder.
    Biederman J; Hammerness P; Sadeh B; Peremen Z; Amit A; Or-Ly H; Stern Y; Reches A; Geva A; Faraone SV
    Psychol Med; 2017 May; 47(7):1259-1270. PubMed ID: 28065167
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep Learning Enabled Diagnosis of Children's ADHD Based on the Big Data of Video Screen Long-Range EEG.
    Zhou D; Liao Z; Chen R
    J Healthc Eng; 2022; 2022():5222136. PubMed ID: 35419186
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.