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P. Seghetti, N. Biasi, et al. Low cardiac frequency associated with higher number of extrasistoles in a computational model of Brugada Syndrome. In: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society
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N. Biasi, P. Seghetti, A. Tognetti. A transmurally heterogeneous model of the ventricular tissue and its application for simulation of Brugada Syndrome. In: 2022 44th Annual International Conference of the IEEE Engineering in Medic
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N. Biasi, P. Seghetti, A. Tognetti. Diffuse fibrosis and repolarization disorders explain ventricular arrhythmias in Brugada syndrome: a computational study. Scientific Reports, 2022, 12.1: 1-15.
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N. Biasi et al. Physics-Based Simulation and Machine Learning for the Practical Implementation of EIT-Based Tactile Sensors. IEEE Sensors Journal, 2022, 22.5: 4186-4196.
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N. Biasi, A. Tognetti. A computationally efficient dynamic model of human epicardial tissue. Plos one, 2021, 16.10: e0259066.
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N. Biasi, A. Tognetti. Computational Efficient Model for Human Ventricular Epicardial Cells. In: 2021 Computing in Cardiology (CinC). IEEE, 2021. p. 1-4.
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N. Biasi, N. Carbonaro, L. Arcarisi, and A. Tognetti. "Combining physics-based simulation and machine learning for EIT-based tactile sensing." 2020 IEEE Sensors. IEEE, 2020.
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N. Biasi, and A. Tognetti. "3D Model of the Heart Electrical Activity with Heterogeneous Ventricular Action Potentials." 2020 Computing in Cardiology. IEEE, 2020.
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N. Biasi, and A. Tognetti. "Modelling whole heart electrical activity for ischemia and cardiac pacing simulation." Health and Technology 10.4 (2020): 837-850.
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Prof. Sajal K. Das, Missouri University of Science and Technology Rolla, MO, USA, "Secure and Resilient Cyber-Physical Systems for Smart Living", 12-15 May 2025
MODIFICA DATE CORSO - Prof. Nicola Tonellotto, University of Pisa – Italy, PhD. Guglielmo Faggioli, Università degli Studi di Padova - Italy, "Privacy Preserving Information Access", 19-23 May 2025
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