Cardiology xECGArch: a trustworthy deep learning architecture for interpretable ECG analysis considering short-term and long-term features. June 7, 2024
Biomedical Engineering | Cardiology Learning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection using Eight Million Samples Labeled with Imprecise Arrhythmia Alarms. February 1, 2024
Cardiology | Computer Science SEResUTer: a deep learning approach for accurate ECG signal delineation and atrial fibrillation detection. October 12, 2023
Cardiology | Neurology Deep residual-dense network based on bidirectional recurrent neural network for atrial fibrillation detection. September 13, 2023
Cardiology | Medical Machine Learning Exploring novel algorithms for atrial fibrillation detection by driving graduate level education in medical machine learning. June 13, 2022
Cardiology A Comprehensive Explanation Framework for Biomedical Time Series Classification. February 22, 2021
Biomedical Engineering | Cardiology Multi-task deep learning for cardiac rhythm detection in wearable devices. September 23, 2020