most citedSelf-Alignment Learning to Improve Myocardial Infarction Detection from Single-Lead ECG

1 citations · 1 across the 8 of their papers we have counts for

collaborators

9 papers

cs.LG2026

EchoBridge: Long-Tail-Aware ECG-Echocardiography Text Alignment for Echocardiography-Derived Cardiac Findings

Xiaocheng Fang, Jieyi Cai, Guangkun Nie +9

Standardized echocardiography conclusions provide meaningful supervision for learning ECG representations of echocardiography-derived cardiac findings. Global ECG--text alignment m…

cs.LG2026

ImputeECG: Deep Learning Reconstruction of Complete 12-Lead Electrocardiograms from Incomplete Recordings for Cardiac Assessment

Xiaocheng Fang, Haoyu Wang, Jieyi Cai +14

Complete digital 12-lead electrocardiograms (ECGs) are essential for AI-enabled cardiovascular assessment, yet many clinical ECG records, particularly those digitized from ECG imag…

cs.LG2026

CausalMoE: A Billion-Scale Multimodal Foundation Model for Granger Causal Discovery with Pattern-Routed Heterogeneous Experts

Bo Liu, Di Dai, Jingwei Liu +5

Granger Causal Discovery (GCD) is fundamental for analyzing temporal dependencies in complex systems. However, existing neural GCD methods predominantly rely on a "one-size-fits-al…

cs.CL2026

ECG-R1: Protocol-Guided and Modality-Agnostic MLLM for Reliable ECG Interpretation

Jiarui Jin, Haoyu Wang, Xingliang Wu +9

Electrocardiography (ECG) serves as an indispensable diagnostic tool in clinical practice, yet existing multimodal large language models (MLLMs) remain unreliable for ECG interpret…

eess.IV2026

ECGFlowCMR: Pretraining with ECG-Generated Cine CMR Helps Cardiac Disease Classification and Phenotype Prediction

Xiaocheng Fang, Zhengyao Ding, Guangkun Nie +9

Cardiac Magnetic Resonance (CMR) imaging provides a comprehensive assessment of cardiac structure and function but remains constrained by high acquisition costs and reliance on exp…

cs.CV2025

Fine-tuning an ECG Foundation Model to Predict Coronary CT Angiography Outcomes

Yujie Xiao, Qinghao Zhao, Gongzheng Tang +12

Coronary artery disease (CAD) remains a major global public health burden, yet scalable pre-imaging risk stratification tools are limited. In this multicenter study, we developed a…