Luca Azzolin

M.Sc. Luca Azzolin

Vacant theses
title type tutor

Publications


  All Publications, sorted by years

          2021 2020 [All]


Selected Publications

Journal Articles (5)

L. Azzolin, S. Schuler, O. Dössel, and A. Loewe.
A Reproducible Protocol to Assess Arrhythmia Vulnerability : Pacing at the End of the Effective Refractory Period..
In Frontiers in Physiology, vol. 12, pp. 656411, 2021
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L. Azzolin, L. Dedè, A. Gerbi, and A. Quarteroni.
Effect of fibre orientation and bulk modulus on the electromechanical modelling of human ventricles.
In Mathematics in Engineering, vol. 2(4) , pp. 614-638, 2020
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C. Nagel, G. Luongo, L. Azzolin, S. Schuler, O. Dössel, and A. Loewe.
Non-Invasive and Quantitative Estimation of Left Atrial Fibrosis Based on P Waves of the 12-Lead ECG-A Large-Scale Computational Study Covering Anatomical Variability..
In Journal of Clinical Medicine, vol. 10(8) , 2021
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L. A. Unger, L. Azzolin, M. Nothstein, J. Sánchez, A. Luik, G. Seemann, S. Yeshwant, T. Oesterlein, O. Dössel, C. Schmitt, P. Spector, and A. Loewe.
Cycle length statistics during human atrial fibrillation reveal refractory properties of the underlying substrate: a combined in silico and clinical test of concept study..
In Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology, vol. 23(Supplement_1) , pp. i133-i142, 2021
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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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Conference Contributions (9)

L. Azzolin, C. Nagel, D. Nairn, J. Sanchez, T. Zheng, M. Eichenlaub, A. Jadidi, O. Doessel, and A. Loewe.
Automated Framework for the Augmentation of Missing Anatomical Structures and Generation of Personalized Atrial Models from Clinical Data.
In Computing in Cardiology Conference (CinC), 2021
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L. Azzolin, G. Luongo, S. Rocher, J. Saiz, O. Doessel, and A. Loewe.
Influence of Gradient and Smoothness of Atrial Wall Thickness on Initiation and Maintenance of Atrial Fibrillation.
In Computing in Cardiology Conference (CinC), 2020
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L. Azzolin, O. Dössel, and A. Loewe.
Influence of the protocol used to induce arrhythmia on atrial fibrillation vulnerability.
In 41 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019
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L. Azzolin, D. Olaf, and L. Axel.
Influence of the protocol used to induce arrhythmia on atrial fibrillation vulnerability.
In Atrial Signals Conference, 2019
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L. Azzolin, J. Sanchez, S. Schuler, O. Dössel, and A. Loewe.
Initiation and maintenance of re-entrant cardiac propagation: a computational vulnerability study.
In Gordon Research Conference - Cardiac Arrhythmia Mechanisms, 2019
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P. Martinez Diaz, L. Azzolin, J. P. Sanchez A., C. Nagel, O. Dössel, and A. Loewe.
Influence of the Right Atrium for Arrhythmia Vulnerability: Geometry Inference Using a Statistical Shape Model.
In 4th Atrial Signals Proceedings, pp. 9, 2021
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T. P. Walz, L. Azzolin, E. Chleilat, and A. Hermenegild.
Potential Roles of Purkinje Fibers in Ischemia-Induced Arrhythmias.
In 2020 Computing in Cardiology Conference (CinC), 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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