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.
Zeineldin et al., ”Explainable hybrid vision transformers and convolutional network for multimodal glioma segmentation in brain MRI,”Scientific Reports
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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.