| Autonomic nervous system assessment using heart rate variability JM Grégoire, C Gilon, S Carlier, H Bersini Acta cardiologica 78 (6), 648-662, 2023 | 14 | 2023 |
| Forecast of paroxysmal atrial fibrillation using a deep neural network C Gilon, JM Grégoire, H Bersini 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 6 | 2020 |
| Forecasting episodes of atrial fibrillation using a new machine learning algorithm J Grégoire, C Gilon, N Subramanian, H Bersini Archives of Cardiovascular Diseases Supplements 12 (1), 103, 2020 | 5 | 2020 |
| Role of the autonomic nervous system and premature atrial contractions in short-term paroxysmal atrial fibrillation forecasting: Insights from machine learning models JM Grégoire, C Gilon, S Carlier, H Bersini Archives of Cardiovascular Diseases 115 (6-7), 377-387, 2022 | 4 | 2022 |
| Unravelling the black box of machine learning for atrial fibrillation forecast: role of heart rate variability and of premature beats JM Grégoire, C Gilon, S Carlier, H Bersini European Heart Journal 41 (Supplement_2), ehaa946. 0671, 2020 | 2 | 2020 |
| IRIDIA-AF, a large paroxysmal atrial fibrillation long-term electrocardiogram monitoring database C Gilon, JM Grégoire, M Mathieu, S Carlier, H Bersini Scientific data 10 (1), 714, 2023 | 1 | 2023 |
| Reproducibility of machine learning models for paroxysmal atrial fibrillation onset prediction C Gilon, JM Grégoire, J Hellinckx, S Carlier, H Bersini 2022 Computing in Cardiology (CinC) 498, 1-4, 2022 | 1 | 2022 |
| Machine learning based atrial fibrillation detection and onset prediction using QT-dynamicity JM Gregoire, C Gilon, N Vaneberg, H Bersini, S Carlier Physiological Measurement, 2024 | | 2024 |
| Paroxysmal Atrial Fibrillation Onset Forecast and Risk Identification During Sinus Rhythm: A Machine Learning Approach C Gilon Université libre de Bruxelles, 2024 | | 2024 |
| Machine learning-based atrial fibrillation onset prediction using heart rate variability geometric analysis and heart rate fragmentation C Gilon, JM Grégoire, L Groben, P Godart, S Carlier, H Bersini Archives of Cardiovascular Diseases 117 (1), S96, 2024 | | 2024 |
| Deep learning-based identification of paroxysmal atrial fibrillation signatures in two-lead sinus rhythm electrocardiograms JM Grégoire, C Gilon, H Bersini, L Groben, P Godart, S Carlier Archives of Cardiovascular Diseases 117 (1), S93-S94, 2024 | | 2024 |
| Assessing the Autonomic Nervous System using ECG Recordings JM Grégoire, C Gilon Asian hospital 61, 38-41, 2023 | | 2023 |
| Publisher Correction: IRIDIA-AF, a large paroxysmal atrial fibrillation long-term electrocardiogram monitoring database C Gilon, JM Grégoire, M Mathieu, S Carlier, H Bersini Scientific Data 10, 2023 | | 2023 |
| Reproducibility of machine learning models for paroxysmal atrial fibrillation onset forecast C Gilon, JM Grégoire, J Hellinckx, S Carlier, H Bersini Archives of Cardiovascular Diseases Supplements 15 (1), 172-173, 2023 | | 2023 |
| QT-dynamicity for atrial fibrillation detection and short-term forecast using machine learning JM Grégoire, C Gilon, N Vaneberg, H Bersini, S Carlier Archives of Cardiovascular Diseases Supplements 15 (1), 93-94, 2023 | | 2023 |
| QT-dynamicity for atrial fibrillation detection and short-term forecast using machine learning C Gilon, J Gregoire, H Bersini, S Carlier, N Vaneberg ACTA CARDIOLOGICA 77, 8-8, 2022 | | 2022 |
| Short-term atrial fibrillation onset forecast using geometrical features with machine learning JM Gregoire, C Gilon, A Sirbu, H Bersini, S Carlier ACTA CARDIOLOGICA 77, 8-8, 2022 | | 2022 |
| Short-term atrial fibrillation onset forecast using geometrical features with machine learning C Gilon, JM Grégoire, S Adriana, H Bersini, S Carlier | | 2022 |
| QT-Dynamicity for atrial fibrillation short-term onset forecast using machine learning JM Grégoire, C Gilon, V Nathan, H Bersini, S Carlier | | 2022 |
| Reappraisal of heart rate variability in the era of neuromodulation JM Grégoire, C Gilon, H Bersini, S Carlier Computer methods and programs in biomedicine, 2022 | | 2022 |
