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20222024
most citedImproving Normative Modeling for Multi-modal Neuroimaging Data using mixture-of-product-of-experts variational autoencoders

6 citations · 16 across the 3 of their papers we have counts for

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cs.LG2024★ 5 cited

HiMAL: A Multimodal Hierarchical Multi-task Auxiliary Learning framework for predicting and explaining Alzheimer disease progression

Sayantan Kumar, Sean Yu, Andrew Michelson +2

Objective: We aimed to develop and validate a novel multimodal framework HiMAL (Hierarchical, Multi-task Auxiliary Learning) framework, for predicting cognitive composite functions…