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A brain structure learning-guided multi-view graph representation learning for brain network analysis.

Tao WangZenghui DingXianjun YangYanyan ChenChanghua LuYining Sun
Published in: Quantitative imaging in medicine and surgery (2024)
These findings demonstrate that our method of combining multi-view graph learning and brain structure learning can effectively capture crucial structural information in brain networks while facilitating the acquisition of feature information from diverse perspectives, thereby improving the performance of brain network analysis.
Keyphrases
  • network analysis
  • resting state
  • white matter
  • functional connectivity
  • cerebral ischemia
  • multiple sclerosis
  • machine learning
  • healthcare
  • health information
  • brain injury
  • deep learning