most citedFusion of ECG Foundation Model Embeddings to Improve Early Detection of Acute Coronary Syndromes

1 citations · 1 across the 4 of their papers we have counts for

collaborators

6 papers

cs.LG2026

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…

cs.LG2025

Generalist vs Specialist Time Series Foundation Models: Investigating Potential Emergent Behaviors in Assessing Human Health Using PPG Signals

Saurabh Kataria, Yi Wu, Zhaoliang Chen +21

Foundation models are large-scale machine learning models that are pre-trained on massive amounts of data and can be adapted for various downstream tasks. They have been extensivel…

cs.CV2025

Vision4PPG: Emergent PPG Analysis Capability of Vision Foundation Models for Vital Signs like Blood Pressure

Saurabh Kataria, Ayca Ermis, Lovely Yeswanth Panchumarthi +2

Photoplethysmography (PPG) sensor in wearable and clinical devices provides valuable physiological insights in a non-invasive and real-time fashion. Specialized Foundation Models (…

cs.CL2025

RAG-BioQA: A Retrieval-Augmented Generation Framework for Long-Form Biomedical Question Answering

Lovely Yeswanth Panchumarthi, Sumalatha Saleti, Sai Prasad Gudari +3

The rapidly growth of biomedical literature creates challenges acquiring specific medical information. Current biomedical question-answering systems primarily focus on short-form a…

cs.LG2025

FairTune: A Bias-Aware Fine-Tuning Framework Towards Fair Heart Rate Prediction from PPG

Lovely Yeswanth Panchumarthi, Saurabh Kataria, Yi Wu +3

Foundation models pretrained on physiological data such as photoplethysmography (PPG) signals are increasingly used to improve heart rate (HR) prediction across diverse settings. F…

eess.SP2025★ 1 cited

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…