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 *

243 related articles for article (PubMed ID: 28912708)

  • 41. Functional connectivity based machine learning approach for autism detection in young children using MEG signals.
    Barik K; Watanabe K; Bhattacharya J; Saha G
    J Neural Eng; 2023 Mar; 20(2):. PubMed ID: 36812588
    [No Abstract]   [Full Text] [Related]  

  • 42. Diagnosis of Autism Spectrum Disorders Using Multi-Level High-Order Functional Networks Derived From Resting-State Functional MRI.
    Zhao F; Zhang H; Rekik I; An Z; Shen D
    Front Hum Neurosci; 2018; 12():184. PubMed ID: 29867410
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Depression Disorder Classification of fMRI Data Using Sparse Low-Rank Functional Brain Network and Graph-Based Features.
    Wang X; Ren Y; Zhang W
    Comput Math Methods Med; 2017; 2017():3609821. PubMed ID: 28487746
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Evaluating Functional Connectivity Alterations in Autism Spectrum Disorder Using Network-Based Statistics.
    Pascual-Belda A; Díaz-Parra A; Moratal D
    Diagnostics (Basel); 2018 Aug; 8(3):. PubMed ID: 30087299
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Distance Correlation-Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies.
    Xiao L; Cai B; Qu G; Zhang G; Stephen JM; Wilson TW; Calhoun VD; Wang YP
    IEEE Trans Biomed Eng; 2022 Oct; 69(10):3039-3050. PubMed ID: 35316180
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Sparse Hierarchical Representation Learning on Functional Brain Networks for Prediction of Autism Severity Levels.
    Kwon H; Kim JI; Son SY; Jang YH; Kim BN; Lee HJ; Lee JM
    Front Neurosci; 2022; 16():935431. PubMed ID: 35873817
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Brain Function Network: Higher Order vs. More Discrimination.
    Guo T; Zhang Y; Xue Y; Qiao L; Shen D
    Front Neurosci; 2021; 15():696639. PubMed ID: 34497485
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Large-Scale Brain Functional Network Integration for Discrimination of Autism Using a 3-D Deep Learning Model.
    Yang M; Cao M; Chen Y; Chen Y; Fan G; Li C; Wang J; Liu T
    Front Hum Neurosci; 2021; 15():687288. PubMed ID: 34149385
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Towards an accurate autism spectrum disorder diagnosis: multiple connectome views from fMRI data.
    Yang J; Xu X; Sun M; Ruan Y; Sun C; Li W; Gao X
    Cereb Cortex; 2024 Jan; 34(1):. PubMed ID: 38100334
    [TBL] [Abstract][Full Text] [Related]  

  • 50. 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]  

  • 51. Identification of Autism Subtypes Based on Wavelet Coherence of BOLD FMRI Signals Using Convolutional Neural Network.
    Al-Hiyali MI; Yahya N; Faye I; Hussein AF
    Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34450699
    [TBL] [Abstract][Full Text] [Related]  

  • 52. A Novel Transfer Learning Approach to Enhance Deep Neural Network Classification of Brain Functional Connectomes.
    Li H; Parikh NA; He L
    Front Neurosci; 2018; 12():491. PubMed ID: 30087587
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Modeling the dynamic brain network representation for autism spectrum disorder diagnosis.
    Cao P; Wen G; Liu X; Yang J; Zaiane OR
    Med Biol Eng Comput; 2022 Jul; 60(7):1897-1913. PubMed ID: 35522357
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Multiple functional networks modeling for autism spectrum disorder diagnosis.
    Kam TE; Suk HI; Lee SW
    Hum Brain Mapp; 2017 Nov; 38(11):5804-5821. PubMed ID: 28845892
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Diagnosing Autism Spectrum Disorder from Brain Resting-State Functional Connectivity Patterns Using a Deep Neural Network with a Novel Feature Selection Method.
    Guo X; Dominick KC; Minai AA; Li H; Erickson CA; Lu LJ
    Front Neurosci; 2017; 11():460. PubMed ID: 28871217
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Learning to Fuse Multiple Brain Functional Networks for Automated Autism Identification.
    Zhang C; Ma Y; Qiao L; Zhang L; Liu M
    Biology (Basel); 2023 Jul; 12(7):. PubMed ID: 37508401
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Decoding Autism: Uncovering patterns in brain connectivity through sparsity analysis with rs-fMRI data.
    Bandyopadhyay S; Peddi S; Sarma M; Samanta D
    J Neurosci Methods; 2024 May; 405():110100. PubMed ID: 38431227
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Abnormal functional connectivity of the reward network is associated with social communication impairments in autism spectrum disorder: A large-scale multi-site resting-state fMRI study.
    Yang C; Wang XK; Ma SZ; Lee NY; Zhang QR; Dong WQ; Zang YF; Yuan LX
    J Affect Disord; 2024 Feb; 347():608-618. PubMed ID: 38070748
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Estimating Functional Connectivity Networks via Low-Rank Tensor Approximation With Applications to MCI Identification.
    Jiang X; Zhang L; Qiao L; Shen D
    IEEE Trans Biomed Eng; 2020 Jul; 67(7):1912-1920. PubMed ID: 31675312
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Improving Sparsity and Modularity of High-Order Functional Connectivity Networks for MCI and ASD Identification.
    Zhou Y; Zhang L; Teng S; Qiao L; Shen D
    Front Neurosci; 2018; 12():959. PubMed ID: 30618582
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.