Dual cross-attention fusion of sMRI and rs-fMRI data achieves 84.71% accuracy in MDD detection on the REST-meta-MDD dataset, outperforming concatenation on functional atlases.
Classification of mdd using a transformer classifier with large-scale multisite resting-state fmri data
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A Dual Cross-Attention Graph Learning Framework For Multimodal MRI-Based Major Depressive Disorder Detection
Dual cross-attention fusion of sMRI and rs-fMRI data achieves 84.71% accuracy in MDD detection on the REST-meta-MDD dataset, outperforming concatenation on functional atlases.