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  3. neuroimaging

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    1The utility of explainable AI for MRI analysis: Relating model predictions to neuroimaging features of the aging brain
     

    S. Hofmann, O. Goltermann, N. Scherf, K. Müller, M. Löffler, A. Villringer, M. Gaebler, A. Witte, and F. Beyer. Imaging Neuroscience, (2025)
    3 months ago by @scadsfct
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    • MRI
    • explainable_AI
    • neuroimaging
    • yaff
     
      MRIexplainable_AIneuroimagingyaff
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      1Graph-Based Disease Prediction in Neuroimaging: Investigating the Impact of Feature Selection
       

      D. Kiakou, A. Adamopoulos, and N. Scherf. Worldwide Congress on “Genetics, Geriatrics and Neurodegenerative Diseases Research", page 223--230. Springer, (2022)
      10 months ago by @scadsfct
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      • Disease
      • Feature
      • Graph-Based
      • Impact
      • Investigating
      • Neuroimaging
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      • Selection
      • learning
      • topic_neuroinspired
      • yaff
       
        DiseaseFeatureGraph-BasedImpactInvestigatingNeuroimagingPredictionSelectionlearningtopic_neuroinspiredyaff
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