Anatomically Interpretable Brain Age Prediction in Alzheimer's Disease Using Graph Neural Networks

被引:0
|
作者
Sihag, Saurabh [1 ]
Mateos, Gonzalo [2 ]
Ribeiro, Alejandro [1 ]
McMillan, Corey T. [1 ]
机构
[1] Univ Penn, Philadelphia, PA USA
[2] Univ Rochester, Rochester, NY USA
关键词
D O I
暂无
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
M233
引用
收藏
页码:S139 / S140
页数:2
相关论文
共 50 条
  • [41] Regional Brain Fusion: Graph Convolutional Network for Alzheimer's Disease Prediction and Analysis
    Li, Wenchao
    Zhao, Jiaqi
    Shen, Chenyu
    Zhang, Jingwen
    Hu, Ji
    Xiao, Mang
    Zhang, Jiyong
    Chen, Minghan
    FRONTIERS IN NEUROINFORMATICS, 2022, 16
  • [42] Personalized Explanations for Early Diagnosis of Alzheimer's Disease Using Explainable Graph Neural Networks with Population Graphs
    Kim, So Yeon
    BIOENGINEERING-BASEL, 2023, 10 (06):
  • [43] Identifying discriminative features of brain network for prediction of Alzheimer's disease using graph theory and machine learning
    Karim, S. M. Shayez
    Fahad, Md Shah
    Rathore, R. S.
    FRONTIERS IN NEUROINFORMATICS, 2024, 18
  • [44] DRPreter: Interpretable Anticancer Drug Response Prediction Using Knowledge-Guided Graph Neural Networks and Transformer
    Shin, Jihye
    Piao, Yinhua
    Bang, Dongmin
    Kim, Sun
    Jo, Kyuri
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2022, 23 (22)
  • [45] Author Correction: Graph neural networks for an accurate and interpretable prediction of the properties of polycrystalline materials
    Minyi Dai
    Mehmet F. Demirel
    Yingyu Liang
    Jia-Mian Hu
    npj Computational Materials, 8
  • [46] A Hybrid Model for Spatiotemporal Air Quality Prediction Based on Interpretable Neural Networks and a Graph Neural Network
    Ding, Huijuan
    Noh, Giseop
    ATMOSPHERE, 2023, 14 (12)
  • [47] Classification-Biased Apparent Brain Age for the Prediction of Alzheimer's Disease
    Varzandian, Ali
    Razo, Miguel Angel Sanchez
    Sanders, Michael Richard
    Atmakuru, Akhila
    Di Fatta, Giuseppe
    FRONTIERS IN NEUROSCIENCE, 2021, 15
  • [48] Multimodal Brain Connectomics-Based Prediction of Parkinson's Disease Using Graph Attention Networks
    Safai, Apoorva
    Vakharia, Nirvi
    Prasad, Shweta
    Saini, Jitender
    Shah, Apurva
    Lenka, Abhishek
    Pal, Pramod Kumar
    Ingalhalikar, Madhura
    FRONTIERS IN NEUROSCIENCE, 2022, 15
  • [49] Alzheimer's disease: connecting findings from graph theoretical studies of brain networks
    Tijms, Betty M.
    Wink, Alle Meije
    de Haan, Willem
    van der Flier, Wiesje M.
    Stam, Cornelis J.
    Scheltens, Philip
    Barkhof, Frederik
    NEUROBIOLOGY OF AGING, 2013, 34 (08) : 2023 - 2036
  • [50] FSNet: Dual Interpretable Graph Convolutional Network for Alzheimer's Disease Analysis
    Li, Hengxin
    Shi, Xiaoshuang
    Zhu, Xiaofeng
    Wang, Shuihua
    Zhang, Zheng
    IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2023, 7 (01): : 15 - 25