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August 27, 2024

Neuroconnectomics fusion: advancing Alzheimer's disease classification through the integration of GCN-MLP and multifeatured fMRI analysis

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Authors

JLJie LiuMinistry of Transportation of OntarioYHYibo HuangKunming University of Science and TechnologyQZQiuyu ZhangLanzhou University of Technology

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Liu et al. (2024) studied this question.

synapsesocial.com/papers/68e5ac88b6db643587546076https://doi.org/10.1117/12.3044093
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1MLC-GCN: Multi-Level Connectomes Based GCN for AD Detection2025
  2. 2Multimodal Deep Learning Framework for Alzheimer’s Disease Classification Using MRI Scans and Clinical Records2025 · 2 citations
  3. 3MLC-GCN: Multi-Level Generated Connectome Based GCN for AD Detection2026
  4. 4Deep learning feature fusion with transfer learning for Alzheimer’s disease classification2026
  5. 5An Alzheimer’s disease classification method using fusion of features from brain Magnetic Resonance Image transforms and deep convolutional networks2023 · 32 citations