IBT Publications by Azzolin


Journal Articles (9)

L. Azzolin, M. Eichenlaub, C. Nagel, D. Nairn, J. Sanchez, L. Unger, O. Dössel, A. Jadidi, and A. Loewe.
Personalized ablation vs. conventional ablation strategies to terminate atrial fibrillation and prevent recurrence.
In EP Europace, pp. 1-12, 2022
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L. Azzolin, M. Eichenlaub, C. Nagel, D. Nairn, J. Sánchez, L. Unger, O. Dössel, A. Jadidi, and A. Loewe.
AugmentA: Patient-specific Augmented Atrial model Generation Tool.
In medRxiv, 2022
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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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D. Nairn, M. Eichenlaub, B. Müller-Edenborn, H. Lehrmann, C. Nagel, L. Azzolin, G. Luongo, R. Figueras Ventura, B. Rubio Forcada, A. Colomer, T. Arentz, O. Dössel, A. Loewe, and A. Jadidi.
LGE-MRI for diagnosis of left atrial cardiomyopathy as identified in high-definition endocardial voltage and conduction velocity mapping.
In medRxiv, 2022
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T. Zheng, L. Azzolin, J. Sánchez, O. Dössel, and A. Loewe.
An automate pipeline for generating fiber orientation and region annotation in patient specific atrial models.
In Current Directions in Biomedical Engineering, vol. 7(2) , pp. 136-139, 2021
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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 EP Europace, 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), vol. 48, 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, 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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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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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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Dissertations (1)

L. Azzolin.
Atrial Digital Twins to Assess Arrhythmia Vulnerability and Guide Ablation Therapy: Leverage Patient-Specific Atrial Models to Understand Atrial Fibrillation Mechanisms and Provide Personalized Treatments.
Karlsruher Institut für Technologie (KIT). Dissertation. 2022
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