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20222026
most citedOn Merging Feature Engineering and Deep Learning for Diagnosis, Risk-Prediction and Age Estimation Based on the 12-Lead ECG

2 citations · 4 across the 5 of their papers we have counts for

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eess.SP2026

Modeling Day-Long ECG Signals to Predict Heart Failure Risk with Explainable AI

Eran Zvuloni, Ronit Almog, Michael Glikson +5

Heart failure (HF) affects 11.8% of adults aged 65 and older, reducing quality of life and longevity. Preventing HF can reduce morbidity and mortality. We hypothesized that artific…

eess.SP2023

RawECGNet: Deep Learning Generalization for Atrial Fibrillation Detection from the Raw ECG

Noam Ben-Moshe, Kenta Tsutsui, Shany Biton +2

Introduction: Deep learning models for detecting episodes of atrial fibrillation (AF) using rhythm information in long-term, ambulatory ECG recordings have shown high performance.…