2 papers
cs.AI2026
Fusion is not one-size-fits-all: Cross-Modal Representation Alignment for Time-to-Event Modeling
Zhemin Zhang, Weijie Chen, David Le +7
Accurate time-to-event (TTE) prediction from multimodal clinical data remains challenging due to modality imbalance and distribution shift. We introduce a foundation model-driven f…
cs.CV2025
MOSCARD -- Causal Reasoning and De-confounding for Multimodal Opportunistic Screening of Cardiovascular Adverse Events
Jialu Pi, Juan Maria Farina, Rimita Lahiri +7
Major Adverse Cardiovascular Events (MACE) remain the leading cause of mortality globally, as reported in the Global Disease Burden Study 2021. Opportunistic screening leverages da…