A simple convolutional autoencoder on ADNI brain scans learns latent spaces linked to Alzheimer's progression; the new LRCP framework plus SHAP analysis identifies which atlas regions carry the clinically relevant information.
Deep autoencoding models for unsupervised anomaly segmentation in brain MR images,
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Latent space projections and atlases: A cautionary tale in deep neuroimaging using autoencoders
A simple convolutional autoencoder on ADNI brain scans learns latent spaces linked to Alzheimer's progression; the new LRCP framework plus SHAP analysis identifies which atlas regions carry the clinically relevant information.