NeuroMoE fuses anatomical, diffusion, and functional MRI with clinical and serum biomarkers via a gated mixture-of-experts, reporting 82.47% accuracy for PD/iRBD/HC classification on a proprietary 113-subject dataset.
Factors associated with phenoconversion of idiopathic rapid eye movement sleep behavior disorder: a prospective study,
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NeuroMoE: A Transformer-Based Mixture-of-Experts Framework for Multi-Modal Neurological Disorder Classification
NeuroMoE fuses anatomical, diffusion, and functional MRI with clinical and serum biomarkers via a gated mixture-of-experts, reporting 82.47% accuracy for PD/iRBD/HC classification on a proprietary 113-subject dataset.