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 *

174 related articles for article (PubMed ID: 32033231)

  • 21. Diagnosis of Autism Disorder Based on Deep Network Trained by Augmented EEG Signals.
    Ardakani HA; Taghizadeh M; Shayegh F
    Int J Neural Syst; 2022 Nov; 32(11):2250046. PubMed ID: 35997585
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Detection of an Autism EEG Signature From Only Two EEG Channels Through Features Extraction and Advanced Machine Learning Analysis.
    Grossi E; Valbusa G; Buscema M
    Clin EEG Neurosci; 2021 Sep; 52(5):330-337. PubMed ID: 33349054
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Analysis and automatic identification of sleep stages using higher order spectra.
    Acharya UR; Chua EC; Chua KC; Min LC; Tamura T
    Int J Neural Syst; 2010 Dec; 20(6):509-21. PubMed ID: 21117273
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Automated detection and correction of eye blink and muscular artefacts in EEG signal for analysis of Autism Spectrum Disorder.
    Jadhav PN; Shanamugan D; Chourasia A; Ghole AR; Acharyya A; Naik G
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():1881-4. PubMed ID: 25570345
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Mobile detection of autism through machine learning on home video: A development and prospective validation study.
    Tariq Q; Daniels J; Schwartz JN; Washington P; Kalantarian H; Wall DP
    PLoS Med; 2018 Nov; 15(11):e1002705. PubMed ID: 30481180
    [TBL] [Abstract][Full Text] [Related]  

  • 26. An Emotion Assessment of Stroke Patients by Using Bispectrum Features of EEG Signals.
    Yean CW; Wan Ahmad WK; Mustafa WA; Murugappan M; Rajamanickam Y; Adom AH; Omar MI; Zheng BS; Junoh AK; Razlan ZM; Bakar SA
    Brain Sci; 2020 Sep; 10(10):. PubMed ID: 32992930
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Robust disruptions in electroencephalogram cortical oscillations and large-scale functional networks in autism.
    Matlis S; Boric K; Chu CJ; Kramer MA
    BMC Neurol; 2015 Jun; 15():97. PubMed ID: 26111798
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Bispectrum-based hybrid neural network for motor imagery classification.
    Liu C; Jin J; Daly I; Sun H; Huang Y; Wang X; Cichocki A
    J Neurosci Methods; 2022 Jun; 375():109593. PubMed ID: 35398087
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Comparison of three different eye-tracking tasks for distinguishing autistic from typically developing children and autistic symptom severity.
    Kou J; Le J; Fu M; Lan C; Chen Z; Li Q; Zhao W; Xu L; Becker B; Kendrick KM
    Autism Res; 2019 Oct; 12(10):1529-1540. PubMed ID: 31369217
    [TBL] [Abstract][Full Text] [Related]  

  • 30. [Feature exaction and classification of autism spectrum disorder children related electroencephalographic signals based on entropy].
    Zhao J; Ding M; Tong Z; Han J; Li X; Kang J
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2019 Apr; 36(2):183-188. PubMed ID: 31016933
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Characterization of fibromyalgia using sleep EEG signals with nonlinear dynamical features.
    Paul JK; Iype T; R D; Hagiwara Y; Koh JW; Acharya UR
    Comput Biol Med; 2019 Aug; 111():103331. PubMed ID: 31284155
    [TBL] [Abstract][Full Text] [Related]  

  • 32. EEG abnormalities and clinical phenotypes in pre-school children with autism spectrum disorder.
    Romero-González M; Navas-Sánchez P; Marín-Gámez E; Barbancho-Fernández MA; Fernández-Sánchez VE; Lara-Muñoz JP; Guzmán-Parra J
    Epilepsy Behav; 2022 Apr; 129():108619. PubMed ID: 35303620
    [TBL] [Abstract][Full Text] [Related]  

  • 33. A PCA aided cross-covariance scheme for discriminative feature extraction from EEG signals.
    Zarei R; He J; Siuly S; Zhang Y
    Comput Methods Programs Biomed; 2017 Jul; 146():47-57. PubMed ID: 28688489
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Error-related brain activity and anxiety symptoms in youth with autism spectrum disorder.
    Rosen TE; Lerner MD
    Autism Res; 2018 Feb; 11(2):342-354. PubMed ID: 29210194
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Evaluation of interpretability for deep learning algorithms in EEG emotion recognition: A case study in autism.
    Mayor Torres JM; Medina-DeVilliers S; Clarkson T; Lerner MD; Riccardi G
    Artif Intell Med; 2023 Sep; 143():102545. PubMed ID: 37673554
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Diagnosis of Autism Spectrum Disorders in Young Children Based on Resting-State Functional Magnetic Resonance Imaging Data Using Convolutional Neural Networks.
    Aghdam MA; Sharifi A; Pedram MM
    J Digit Imaging; 2019 Dec; 32(6):899-918. PubMed ID: 30963340
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Conditional entropy approach to analyze cognitive dynamics in autism spectrum disorder.
    Wadhera T; Kakkar D
    Neurol Res; 2020 Oct; 42(10):869-878. PubMed ID: 32628095
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Multiple feature extraction and classification of electroencephalograph signal for Alzheimers' with spectrum and bispectrum.
    Wang R; Wang J; Li S; Yu H; Deng B; Wei X
    Chaos; 2015 Jan; 25(1):013110. PubMed ID: 25637921
    [TBL] [Abstract][Full Text] [Related]  

  • 39. nCREANN: Nonlinear Causal Relationship Estimation by Artificial Neural Network; Applied for Autism Connectivity Study.
    Talebi N; Nasrabadi AM; Mohammad-Rezazadeh I; Coben R
    IEEE Trans Med Imaging; 2019 Dec; 38(12):2883-2890. PubMed ID: 31094685
    [TBL] [Abstract][Full Text] [Related]  

  • 40. [Electroencephalogram feature extraction and classification of autistic children based on recurrence quantification analysis].
    Zhao J; Zhang Z; Wan L; Li X; Kang J
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2021 Aug; 38(4):663-670. PubMed ID: 34459165
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.