Anomaly Detection for Schizophrenia on Functional Connectivity Using Graph Convolutional Neural Network

被引:0
|
作者
Su, Jianpo [1 ]
Sun, Zhongyi [2 ]
Peng, Limin [1 ]
Gao, Kai [1 ]
Zeng, Ling-Li [1 ]
Hu, Dewen [1 ]
机构
[1] Natl Univ Def Technol, Washington, DC USA
[2] Xiangya Hosp, Cent South Univ, Changsha, Hunan, Peoples R China
关键词
Schizophrenia; Anomaly Detection; Diagnostic; Classification; Functional Connectivity;
D O I
暂无
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
P184
引用
收藏
页码:S161 / S162
页数:2
相关论文
共 50 条
  • [31] Evaluation of Anomaly Detection for Cybersecurity Using Inductive Node Embedding with Convolutional Graph Neural Networks
    Abou Rida, Amani
    Amhaz, Rabih
    Parrend, Pierre
    [J]. COMPLEX NETWORKS & THEIR APPLICATIONS X, VOL 2, 2022, 1016 : 563 - 574
  • [32] Schizophrenia Detection on EEG Signals Using an Ensemble of a Lightweight Convolutional Neural Network
    Hussain, Muhammad
    Alsalooli, Noudha Abdulrahman
    Almaghrabi, Norah
    Qazi, Emad-ul-Haq
    [J]. APPLIED SCIENCES-BASEL, 2024, 14 (12):
  • [33] Semi-supervised Graph Edge Convolutional Network for Anomaly Detection
    Lun, Zhicheng
    Gu, Xiaoyan
    Fan, Haihui
    Li, Bo
    Wang, Weiping
    [J]. ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2021, PT I, 2021, 12891 : 141 - 152
  • [34] Correction to: Diagnosis of schizophrenia with functional connectome data: a graph-based convolutional neural network approach
    Kang-Han Oh
    Il-Seok Oh
    Uyanga Tsogt
    Jie Shen
    Woo-Sung Kim
    Congcong Liu
    Nam-In Kang
    Keon-Hak Lee
    Jing Sui
    Sung-Wan Kim
    Young-Chul Chung
    [J]. BMC Neuroscience, 23
  • [35] User State Classification Based on Functional Brain Connectivity Using a Convolutional Neural Network
    Park, Seung-Min
    Yeom, Hong-Gi
    Sim, Kwee-Bo
    [J]. ELECTRONICS, 2021, 10 (10)
  • [36] A compact convolutional neural network for textured surface anomaly detection
    Racki, Domen
    Tomazevic, Dejan
    Skocaj, Danijel
    [J]. 2018 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2018), 2018, : 1331 - 1339
  • [37] Convolutional Neural Network Analysis of Recurrence Plots for Anomaly Detection
    Chen, Yun
    Su, Shijie
    Yang, Hui
    [J]. INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, 2020, 30 (01):
  • [38] Video Anomaly Detection Using the Optimization-Enabled Deep Convolutional Neural Network
    Philip, Felix M.
    Jayakrishnan, V
    Ajesh, F.
    Haseena, P.
    [J]. COMPUTER JOURNAL, 2022, 65 (05): : 1272 - 1292
  • [39] FCNet: A Convolutional Neural Network for Calculating Functional Connectivity from Functional MRI
    Riaz, Atif
    Asad, Muhammad
    Al-Arif, S. M. Masudur Rahman
    Alonso, Eduardo
    Dima, Danai
    Corr, Philip
    Slabaugh, Greg
    [J]. CONNECTOMICS IN NEUROIMAGING, 2017, 10511 : 70 - 78
  • [40] Anomaly detection of traffic session based on graph neural network
    Du Peng
    Peng Cheng-Wei
    Xiang Peng
    Li Qing-Shan
    [J]. PROCEEDINGS OF THE 2022 INTERNATIONAL CONFERENCE ON CYBER SECURITY, CSW 2022, 2022, : 1 - 9