Thomas Grandits
Thomas Grandits
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Cited by
Cited by
A framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs
K Gillette, MAF Gsell, AJ Prassl, E Karabelas, U Reiter, G Reiter, ...
Medical Image Analysis 71, 102080, 2021
A systematic literature review of simulation models for non-technical skill training in healthcare logistics
C Zhang, T Grandits, KP Härenstam, JB Hauge, S Meijer
Advances in Simulation 3, 1-16, 2018
Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps
C Ruiz Herrera, T Grandits, G Plank, P Perdikaris, F Sahli Costabal, ...
Engineering with Computers 38 (5), 3957-3973, 2022
An inverse Eikonal method for identifying ventricular activation sequences from epicardial activation maps
T Grandits, K Gillette, A Neic, J Bayer, E Vigmond, T Pock, G Plank
Journal of computational physics 419, 109700, 2020
A personalized real-time virtual model of whole heart electrophysiology
K Gillette, MAF Gsell, M Strocchi, T Grandits, A Neic, M Manninger, ...
Frontiers in Physiology 13, 907190, 2022
Learning atrial fiber orientations and conductivity tensors from intracardiac maps using physics-informed neural networks
T Grandits, S Pezzuto, FS Costabal, P Perdikaris, T Pock, G Plank, ...
International Conference on Functional Imaging and Modeling of the Heart …, 2021
PIEMAP: personalized inverse eikonal model from cardiac electro-anatomical maps
T Grandits, S Pezzuto, JM Lubrecht, T Pock, G Plank, R Krause
International Workshop on Statistical Atlases and Computational Models of …, 2020
GEASI: Geodesic‐based earliest activation sites identification in cardiac models
T Grandits, A Effland, T Pock, R Krause, G Plank, S Pezzuto
International journal for numerical methods in biomedical engineering 37 (8 …, 2021
Automatic reconstruction of the left atrium activation from sparse intracardiac contact recordings by inverse estimate of fibre structure and anisotropic conduction in a …
JM Lubrecht, T Grandits, A Gharaviri, U Schotten, T Pock, G Plank, ...
EP Europace 23 (Supplement_1), i63-i70, 2021
Optimizing wavelet bases for sparser representations
T Grandits, T Pock
International Workshop on Energy Minimization Methods in Computer Vision and …, 2017
A fast iterative method python package
T Grandits
Journal of Open Source Software 6 (66), 3641, 2021
Correction to: A systematic literature review of simulation models for non-technical skill training in healthcare logistics
C Zhang, T Grandits, KP Härenstam, JB Hauge, S Meijer
Advances in Simulation 4 (1), 1-1, 2019
Digital twinning of cardiac electrophysiology models from the surface ECG: a geodesic backpropagation approach
T Grandits, J Verhülsdonk, G Haase, A Effland, S Pezzuto
IEEE Transactions on Biomedical Engineering, 2023
Neural network emulation of the human ventricular cardiomyocyte action potential for more efficient computations in pharmacological studies
T Grandits, CM Augustin, G Haase, N Jost, GR Mirams, SA Niederer, ...
Elife 12, RP91911, 2024
Shape of my heart: Cardiac models through learned signed distance functions
J Verhülsdonk, T Grandits, FS Costabal, R Krause, A Auricchio, G Haase, ...
arXiv preprint arXiv:2308.16568, 2023
Smoothness and continuity of cost functionals for ECG mismatch computation
T Grandits, S Pezzuto, G Plank
IFAC-PapersOnLine 55 (20), 181-186, 2022
An Inverse Problem for the Identification of Cardiac Activation from the Standard ECG
S Pezzuto, T Grandits, A Effland, T Pock, G Plank, R Krause
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