IBT Publications by Rivolta


Journal Articles (4)

G. Luongo, G. Vacanti, V. Nitzke, D. Nairn, C. Nagel, D. Kabiri, T. P. Almeida, D. C. Soriano, M. W. Rivolta, G. A. Ng, O. Dössel, A. Luik, R. Sassi, C. Schmitt, and A. Loewe.
Hybrid machine learning to localize atrial flutter substrates using the surface 12-lead electrocardiogram.
In EP Europace, 2022
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G. Luongo, F. Rees, D. Nairn, M. W. Rivolta, O. Dössel, R. Sassi, C. Ahlgrim, L. Mayer, F.-J. Neumann, T. Arentz, A. Jadidi, A. Loewe, and B. Müller-Edenborn.
Machine Learning Using a Single-Lead ECG to Identify Patients With Atrial Fibrillation-Induced Heart Failure.
In Frontiers in Cardiovascular Medicine, vol. 9, 2022
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G. Luongo, L. Azzolin, S. Schuler, M. W. Rivolta, T. P. Almeida, J. P. Martínez, D. C. Soriano, A. Luik, B. Müller-Edenborn, A. Jadidi, O. Dössel, R. Sassi, P. Laguna, and A. Loewe.
Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG.
In Cardiovascular Digital Health Journal, vol. 2(2) , pp. 126-136, 2021
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M. Vila, M. W. Rivolta, G. Luongo, L. A. Unger, A. Luik, L. Gigli, F. Lombardi, A. Loewe, and R. Sassi.
Atrial Flutter Mechanism Detection Using Directed Network Mapping.
In Frontiers in Physiology, vol. 12, 2021
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Conference Contributions (6)

M. Vila, M. W. Rivolta, G. Luongo, A. Loewe, and R. Sassi.
Directed Network Mapping Hints the Ablation Strategy for Atrial Flutter: a Proof of Concept.
In 4th Atrial Signals Proceedings, pp. 16, 2021
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G. Luongo, S. Schuler, M. W. Rivolta, O. Dössel, R. Sassi, and A. Loewe.
Semi-Supervised vs. Supervised Learning for Discriminating Atrial Flutter Mechanisms Using the 12-lead ECG.
In Computing in Cardiology Conference (CinC), vol. 48, 2021
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G. Luongo, S. Schuler, M. W. Rivolta, O. Dössel, R. Sassi, and A. Loewe.
Automatic classification of 20 different types of atrial tachycardia using 12-lead ECG signals.
In EP Europace, vol. 22(Supplement_1) , 2020
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G. Luongo, L. Azzolin, M. W. Rivolta, R. Sassi, J. P. Martinez, P. Laguna, O. Doessel, and A. Loewe.
Non-invasive identification of atrial fibrillation driver location using the 12-lead ECG: pulmonary vein rotors vs. other locations.
In EMBC 20, 2020
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G. Luongo, L. Azzolin, M. W. Rivolta, T. P. Almeida, J. P. Martinez, D. C. Soriano, O. Dössel, R. Sassi, P. Laguna, and A. Loewe.
Machine Learning to Find Areas of Rotors Sustaining Atrial Fibrillation From the ECG.
In Computing in Cardiology, 2020
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G. Luongo, S. Schuler, M. W. Rivolta, O. Dössel, R. Sassi, and A. Loewe.
Automatic ECG-based Discrimination of 20 Atrial Flutter Mechanisms: Influence of Atrial and Torso Geometries.
In Computing in Cardiology, 2020
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