A machine learning algorithm for electrocardiographic fQRS quantification validated on multi-center dataAmalia Villa, Carolina Varon, Tim Friede et al.|Scientific Reports|2022Cited by 19
Temporal Changes in Beat‐to‐Beat Variability of Repolarization Predict Imminent Nonsustained Ventricular Tachycardia in Patients With Ischemic and Nonischemic Dilated CardiomyopathyMatthew Amoni, Rik Willems, Sebastian Ingelaere et al.|Journal of the American Heart Association|2022Cited by 11
Regional beat-to-beat variability of repolarization increases during ischemia and predicts imminent arrhythmias in a pig model of myocardial infarctionMatthew Amoni, Rik Willems, Sebastian Ingelaere et al.|American Journal of Physiology-Heart and Circulatory Physiology|2023Cited by 7
Fragmented QRS dynamics towards electrical storm in ICD patientsAmalia Villa Gómez, Carolina Varon, Sebastian Ingelaere et al.|Computing in cardiology|2020Cited by 1
AI-enabled detection of QRS fragmentation from 12-lead electrocardiogram and its clinical relevance for predicting malignant arrhythmia onsetSebastian Ingelaere, Rik Willems, Amalia Villa et al.|Frontiers in Cardiovascular Medicine|2024Cited by 1