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…
eess.IV2025
Novel AI-Based Quantification of Breast Arterial Calcification to Predict Cardiovascular Risk
Theodorus Dapamede, Aisha Urooj, Vedant Joshi +15
Women are underdiagnosed and undertreated for cardiovascular disease. Automatic quantification of breast arterial calcification on screening mammography can identify women at risk…