2 papers
eess.SP2025
Fine-grained Contrastive Learning for ECG-Report Alignment with Waveform Enhancement
Haitao Li, Che Liu, Zhengyao Ding +3
Electrocardiograms (ECGs) are essential for diagnosing cardiovascular diseases. However, existing ECG-Report contrastive learning methods focus on whole-ECG and report alignment, m…
cs.LG2025
Intern-S1: A Scientific Multimodal Foundation Model
Lei Bai, Zhongrui Cai, Yuhang Cao +173
In recent years, a plethora of open-source foundation models have emerged, achieving remarkable progress in some widely attended fields, with performance being quite close to that…