| 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 | 110 | 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 | 59 | 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 | 24 | 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 | 19 | 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 | 18 | 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 | 17 | 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 | 17 | 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 | 10 | 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 | 8 | 2021 |
| Optimizing wavelet bases for sparser representations T Grandits, T Pock International Workshop on Energy Minimization Methods in Computer Vision and …, 2017 | 7 | 2017 |
| A fast iterative method python package T Grandits Journal of Open Source Software 6 (66), 3641, 2021 | 4 | 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 | 4 | 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 | 3 | 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 | | 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 | | 2023 |
| Smoothness and continuity of cost functionals for ECG mismatch computation T Grandits, S Pezzuto, G Plank IFAC-PapersOnLine 55 (20), 181-186, 2022 | | 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 PROCEEDINGS OF SIMAI 2020+ 21, 2021 | | 2021 |
