A 4D CNN with joint temporal-spatial kernels is claimed to improve Alzheimer's disease classification from resting-state fMRI over 3D baselines, but the supporting accuracy table is absent from the text.
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Alzheimers Disease Classification in Functional MRI With 4D Joint Temporal-Spatial Kernels in Novel 4D CNN Model
A 4D CNN with joint temporal-spatial kernels is claimed to improve Alzheimer's disease classification from resting-state fMRI over 3D baselines, but the supporting accuracy table is absent from the text.