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IEEE10h
Advancing Metaverse-Based Healthcare With Multimodal Neuroimaging Fusion Via Multi-Task Adversarial Variational Autoencoder for Brain Age Estimation
To address these challenges, we present the Multitask Adversarial Variational Autoencoder (M-AVAE), a bespoke deep learning framework designed to enhance brain age predictions through multimodal MRI ...
IEEE6d
Cross-Modal Information Recovery and Enhancement Using Multiple-Input–Multiple-Output Variational Autoencoder
Abstract: Motivated by the cross-modal information processing mechanism of human brain, vertebrates, and invertebrates, we propose a multiple-input–multiple-output (MIMO) variational autoencoder (VAE) ...