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Grandits Thomas |

** = Publications listed in SCI/SSCI/Pubmed

2024

Full paper/article (Journal)

** Grandits, T; Augustin, CM; Haase, G; Jost, N; Mirams, GR; Niederer, SA; Plank, G; Varró, A; Virág, L; Jung, A Neural network emulation of the human ventricular cardiomyocyte action potential for more efficient computations in pharmacological studies.
Elife. 2024; 12: Doi: 10.7554/eLife.91911 [OPEN ACCESS]
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2023

Pre-print

** Grandits, T; Augustin, CM; Haase, G; Jost, N; Mirams, GR; Niederer, SA; Plank, G; Varró, A; Virág, L; Jung, A Neural network emulation of the human ventricular cardiomyocyte action potential: a tool for more efficient computation in pharmacological studies.
bioRxiv. 2023; Doi: 10.1101/2023.08.16.553497 [OPEN ACCESS]
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2022

Full paper/article (Journal)

** Gillette, K; Gsell, MAF; Strocchi, M; Grandits, T; Neic, A; Manninger, M; Scherr, D; Roney, CH; Prassl, AJ; Augustin, CM; Vigmond, EJ; Plank, G A personalized real-time virtual model of whole heart electrophysiology.
Front Physiol. 2022; 13: 907190 Doi: 10.3389/fphys.2022.907190 [OPEN ACCESS]
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** Herrera, CR; Grandits, T; Plank, G; Perdikaris, P; Costabal, FS; Pezzuto, S Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps
ENG COMPUT-GERMANY. 2022; Doi: 10.1007/s00366-022-01709-3
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2021

Full paper/article (Journal)

** Gillette, K; Gsell, MAF; Prassl, AJ; Karabelas, E; Reiter, U; Reiter, G; Grandits, T; Payer, C; Štern, D; Urschler, M; Bayer, JD; Augustin, CM; Neic, A; Pock, T; Vigmond, EJ; Plank, G A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs.
Med Image Anal. 2021; 71:102080 Doi: 10.1016/j.media.2021.102080 [OPEN ACCESS]
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** Grandits, T; Effland, A; Pock, T; Krause, R; Plank, G; Pezzuto, S GEASI: Geodesic-based earliest activation sites identification in cardiac models.
Int J Numer Method Biomed Eng. 2021; 37(8):e3505 Doi: 10.1002/cnm.3505 [OPEN ACCESS]
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** Grandits, T; Pezzuto, S; Costabal, FS; Perdikaris, P; Pock, T; Plank, G; Krause, R Learning atrial fiber orientations and conductivity tensors from intracardiac maps using physics-informed neural networks.
Funct Imaging Model Heart. 2021; 2021: 650-658. Doi: 10.1007/978-3-030-78710-3_62 [OPEN ACCESS]
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** Lubrecht, JM; Grandits, T; Gharaviri, A; Schotten, U; Pock, T; Plank, G; Krause, R; Auricchio, A; Conte, G; Pezzuto, S Automatic reconstruction of the left atrium activation from sparse intracardiac contact recordings by inverse estimate of fibre structure and anisotropic conduction in a patient-specific model.
Europace. 2021; 23(23 Suppl 1):i63-i70 Doi: 10.1093/europace/euaa392
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Full paper/article (Proceedings)

** Grandits, T; Pezzuto, S; Lubrecht, JM; Pock, T; Plank, G; Krause, R PIEMAP: Personalized Inverse Eikonal Model from cardiac Electro-Anatomical Maps.
Stat Atlases Comput Models Heart. 2021; 12592:76-86 Doi: 10.1007/978-3-030-68107-4_8 [OPEN ACCESS]
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2020

Full paper/article (Journal)

** Grandits, T; Gillette, K; Neic, A; Bayer, J; Vigmond, E; Pock, T; Plank, G An Inverse Eikonal Method for Identifying Ventricular Activation Sequences from Epicardial Activation Maps.
J Comput Phys. 2020; 419: Doi: 10.1016/j.jcp.2020.109700 [OPEN ACCESS]
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