2 papers
cs.LG2026
Contrastive Learning for Multi Label ECG Classification with Jaccard Score Based Sigmoid Loss
Junichiro Takahashi, Masataka Sato, Satoshi Kodeta +1
Recent advances in large language models (LLMs) have enabled the development of multimodal medical AI. While models such as MedGemini achieve high accuracy on VQA tasks like USMLE…
cs.AI2025
Application of Contrastive Learning on ECG Data: Evaluating Performance in Japanese and Classification with Around 100 Labels
Junichiro Takahashi, JingChuan Guan, Masataka Sato +5
The electrocardiogram (ECG) is a fundamental tool in cardiovascular diagnostics due to its powerful and non-invasive nature. One of the most critical usages is to determine whether…