Experiments on multimodal AD and PD datasets demonstrate consistent improvements over state-of-the-art baselines in multi-stage classification tasks, highlighting the interpretability and scientific utility of the proposed framework for neurodegenerative disease analysis.
Jing Ren, Kefan Yang, Le Linh Dan Nguyen et al.· Proceedings of the 32nd ACM...· 1 citation
BrainLinear is proposed, a lightweight geometry-aware framework for mining disease-discriminative connectome patterns, and shows that it improves AUC and ACC over the best baseline for each metric by up to $3.54 and $1.39 percentage points, respectively.
Si-Jing Wu, Dong-Yuan Li, Miaoting Huang et al.· 0 citations
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