| Detection of pathological heart sounds M Abdollahpur, A Ghaffari, S Ghiasi, MJ Mollakazemi Physiological measurement 38 (8), 1616, 2017 | 67 | 2017 |
| Atrial fibrillation detection using feature based algorithm and deep convolutional neural network S Ghiasi, M Abdollahpur, N Madani, K Kiani, A Ghaffari 2017 Computing in Cardiology (CinC), 1-4, 2017 | 50 | 2017 |
| Cycle selection and neuro-voting system for classifying heart sound recordings M Abdollahpur, S Ghiasi, MJ Mollakazemi, A Ghaffari 2016 Computing in Cardiology Conference (CinC), 1-4, 2016 | 20 | 2016 |
| Atrial fibrillation detection using feature based algorithm and deep convolutional neural network. In 2017 Computing in Cardiology (CinC) S Ghiasi, M Abdollahpur, N Madani, K Kiani, A Ghaffari Rennes, France, 1-4, 2017 | 9 | 2017 |
| An atrioventricular node model incorporating autonomic tone F Plappert, M Wallman, M Abdollahpur, PG Platonov, S Östenson, ... Frontiers in Physiology 13, 976468, 2022 | 8 | 2022 |
| Relationship between atrial oscillatory acetylcholine release pattern and f-wave frequency modulation: a computational and experimental study C Celotto, C Sánchez, KA Mountris, M Abdollahpur, F Sandberg, ... 2020 Computing in Cardiology, 1-4, 2020 | 6 | 2020 |
| A subspace projection approach to quantify respiratory variations in the f-wave frequency trend M Abdollahpur, G Engström, PG Platonov, F Sandberg Frontiers in Physiology 13, 976925, 2022 | 5 | 2022 |
| Respiratory induced modulation in f-wave characteristics during atrial fibrillation M Abdollahpur, F Holmqvist, PG Platonov, F Sandberg Frontiers in Physiology 12, 653492, 2021 | 4 | 2021 |
| Respiratory modulation in permanent atrial fibrillation M Abdollahpur, F Holmqvist, PG Platonov, F Sandberg 2020 Computing in Cardiology, 1-4, 2020 | 4 | 2020 |
| Nonlinear analysis of heart sounds for the detection of cardiac disorders using recurrence quantification analysis S Ghiasi, M Abdollahpur, N Madani, A Ghaffari 2017 Computing in Cardiology (CinC), 1-4, 2017 | 4 | 2017 |
| Heart arrhythmia classification using extracted features in poincare plot of RR intervals S Rezaei, S Moharreri, M Abdollahpur, S Parvaneh 2017 Computing in Cardiology (CinC), 1-4, 2017 | 3 | 2017 |
| Heart rate characteristic based modelling of atrial fibrillatory rate using implanted cardiac monitor data J Saiz-Vivo, M Abdollahpur, LT Mainardi, VDA Corino, M De Melis, ... Physiological Measurement 44 (3), 035007, 2023 | 1 | 2023 |
| Atrial Fibrillatory Rate Characterization Extracted from Implanted Cardiac Monitor Data J Saiz-Vivo, M Abdollahpur, LT Mainardi, VDA Corino, M De Melis, ... 2021 Computing in Cardiology (CinC) 48, 1-4, 2021 | 1 | 2021 |
| The frequency of atrial fibrillatory waves is modulated by the spatiotemporal pattern of acetylcholine release: a 3D computational study C Celotto, C Sánchez, M Abdollahpur, F Sandberg, JF Rodriguez Mstas, ... Frontiers in Physiology 14, 1189464, 2024 | | 2024 |
| Dependence of Atrial Fibrillatory Rate Variations Induced by Head-Up/Down Tilt-Test on Autonomic Action C Celotto, C Sánchez, M Abdollahpur, F Sandberg, P Laguna, E Pueyo 2023 Computing in Cardiology (CinC) 50, 1-4, 2023 | | 2023 |
| Effects of Acetylcholine Release Spatial Distribution on the Frequency of Atrial Reentrant Circuits: a Computational Study C Celotto, C Sánchez, M Abdollahpur, F Sandberg, JF Rodriguez, ... 2022 Computing in Cardiology (CinC) 498, 1-4, 2022 | | 2022 |
| Assessment of Respiratory Variations in Atrial Fibrillatory Waves M Abdollahpur | | 2022 |
Shadi GhiasiMerck Healthcare, Computational Health Informatics Lab, University of Oxford在 merckgroup.com 的电子邮件经过验证
