Multimodal 3D CNN model with GMU, gated self-attention, and sparsely gated MoE achieves up to 95.47% accuracy on NC vs AD using MRI and PET, with ablations showing MoE benefit.
Multimodal and multiscale deep neural networks for the early diagnosis of alzheimer’s disease using structural mr and fdg-pet images,
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Alzheimer's Disease Diagnosis using a Multimodal Approach with 3D MRI and PET
Multimodal 3D CNN model with GMU, gated self-attention, and sparsely gated MoE achieves up to 95.47% accuracy on NC vs AD using MRI and PET, with ablations showing MoE benefit.