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20232026
most citedHOPE: Hybrid-granularity Ordinal Prototype Learning for Progression Prediction of Mild Cognitive Impairment

17 citations · 24 across the 12 of their papers we have counts for

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2 papers · 1 filter

cs.CY2024

DepMamba: Progressive Fusion Mamba for Multimodal Depression Detection

Jiaxin Ye, Junping Zhang, Hongming Shan

Depression is a common mental disorder that affects millions of people worldwide. Although promising, current multimodal methods hinge on aligned or aggregated multimodal fusion, s…

eess.IV2024★ 17 cited

HOPE: Hybrid-granularity Ordinal Prototype Learning for Progression Prediction of Mild Cognitive Impairment

Chenhui Wang, Yiming Lei, Tao Chen +3

Mild cognitive impairment (MCI) is often at high risk of progression to Alzheimer's disease (AD). Existing works to identify the progressive MCI (pMCI) typically require MCI subtyp…