Interpretability

Investigating the Utility of Explainable Artificial Intelligence for Neuroimaging-Based Dementia Diagnosis and Prognosis
Artificial intelligence and neuroimaging enable accurate dementia prediction but often involve ‘black box’ models that can …
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Investigating the Utility of Explainable Artificial Intelligence for Neuroimaging-Based Dementia Diagnosis and Prognosis
Interpretable Alzheimer’s Disease Classification Via a Contrastive Diffusion Autoencoder
A diffusion autoencoder coupled with a contrastive loss is used to produce accurate and interpretable MR image classifications of Alzheimer’s Disease.
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Interpretable deep learning for dementia: a systematic review
Introduction. Machine learning research into automated dementia diagnosis is becoming increasingly popular but so far has had limited …
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Interpretable Dementia Prediction
Developing a framework for interpretable, explainable dementia prediction and validating existing methods.
Interpretable Dementia Prediction