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cs.CV2026
Learning Emergent Modular Representations in Multi-modality Medical Vision Foundation Models
Yuting He, Chenyu You, Shuo Li
Multi-modality medical vision (MV) foundation models (FM) are fundamentally challenged by pronounced Non-IID feature statistics across heterogeneous imaging modalities. Monolithic…
cs.CV2026
Let EEG Models Learn EEG
Yifan Wang, Yijia Ma, Wen Li +1
High-fidelity EEG generation is critical for alleviating data scarcity and addressing privacy constraints in large-scale neural modeling. Despite recent progress, most existing app…
cs.CV2026
REVEAL: Multimodal Vision-Language Alignment of Retinal Morphometry and Clinical Risks for Incident AD and Dementia Prediction
Seowung Leem, Lin Gu, Chenyu You +2
The retina provides a unique, noninvasive window into Alzheimer's disease (AD) and dementia, capturing early structural changes through morphometric features, while systemic and li…