15 citations · 16 across the 2 of their papers we have counts for
3 papers
TRACE: Expert-Aligned ECG Representation Learning with Rigorous Benchmarking and Real-World Validation in Acute Cardiac Care
Lovely Yeswanth Panchumarthi, Andrew Lu, Saurabh Kataria +11
TRACE (Text-Reinforced Analysis of Cardio ECGs) is a multimodal electrocardiogram (ECG) representation model that learns clinically grounded signal embeddings for downstream cardia…
Fusion of ECG Foundation Model Embeddings to Improve Early Detection of Acute Coronary Syndromes
Zeyuan Meng, Lovely Yeswanth Panchumarthi, Saurabh Kataria +4
Acute Coronary Syndrome (ACS) is a life-threatening cardiovascular condition where early and accurate diagnosis is critical for effective treatment and improved patient outcomes. T…
ECG-SMART-NET: A Deep Learning Architecture for Precise ECG Diagnosis of Occlusion Myocardial Infarction
Nathan T. Riek, Murat Akcakaya, Zeineb Bouzid +10
Objective: In this paper we develop and evaluate ECG-SMART-NET for occlusion myocardial infarction (OMI) identification. OMI is a severe form of heart attack characterized by compl…