GMN4AD: Graph Matching Network for Alzheimer's Disease Diagnosis with Test-Time Domain Adaptation using Multi-centered Structure Magnetic Resonance Imaging
Researchers have developed GMN4AD, a novel Graph Matching Network designed for diagnosing Alzheimer's Disease using structural Magnetic Resonance Imaging (sMRI). This network addresses challenges posed by data heterogeneity across different sites by modeling interactions between brain graphs and employing a test-time domain adaptation strategy with contrastive learning to mitigate domain shifts during inference. Experiments on public datasets show GMN4AD outperforms existing state-of-the-art methods, offering a more robust and generalizable solution for early AD diagnosis. AI
IMPACT This new model offers a more robust and generalizable approach to early Alzheimer's diagnosis using MRI data.