AINeutralarXiv – CS AI · 6h ago6/10
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Brain-Atlas-Guided Generative Counterfactual Attention for Explainable Cognitive Decline Diagnosis Using Multimodal Connectomes
Researchers propose GCAN, a novel deep learning framework that uses counterfactual generation and brain atlas constraints to improve the explainability of cognitive decline diagnosis from brain imaging data. The method achieves competitive classification performance on mild cognitive impairment and subjective cognitive decline detection while providing interpretable insights into disease-related connectivity changes.