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2020 – today
- 2024
[j5]Thomas Grandits
, Jan Verhülsdonk, Gundolf Haase, Alexander Effland, Simone Pezzuto:
Digital Twinning of Cardiac Electrophysiology Models From the Surface ECG: A Geodesic Backpropagation Approach. IEEE Trans. Biomed. Eng. 71(4): 1281-1288 (2024)- [i7]Manuel Haas, Thomas Grandits, Thomas Pinetz, Thomas Beiert, Simone Pezzuto, Alexander Effland:
Finite element-based space-time total variation-type regularization of the inverse problem in electrocardiographic imaging. CoRR abs/2408.11573 (2024) - 2023
- [i6]Thomas Grandits, Jan Verhülsdonk, Gundolf Haase, Alexander Effland, Simone Pezzuto:
Digital twinning of cardiac electrophysiology models from the surface ECG: a geodesic backpropagation approach. CoRR abs/2308.08410 (2023) - [i5]Jan Verhülsdonk, Thomas Grandits, Francisco Sahli Costabal, Rolf Krause, Angelo Auricchio, Gundolf Haase, Simone Pezzuto, Alexander Effland:
Shape of my heart: Cardiac models through learned signed distance functions. CoRR abs/2308.16568 (2023) - 2022
- [j4]Carlos Ruiz Herrera, Thomas Grandits, Gernot Plank, Paris Perdikaris, Francisco Sahli Costabal, Simone Pezzuto:
Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps. Eng. Comput. 38(5): 3957-3973 (2022) - [i4]Thomas Grandits, Simone Pezzuto, Gernot Plank:
Smoothness and continuity of cost functionals for ECG mismatch computation. CoRR abs/2201.04487 (2022) - [i3]Carlos Ruiz Herrera, Thomas Grandits, Gernot Plank, Paris Perdikaris, Francisco Sahli Costabal, Simone Pezzuto:
Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps. CoRR abs/2201.12362 (2022) - 2021
- [j3]Thomas Grandits:
A Fast Iterative Method Python package. J. Open Source Softw. 6(66): 3641 (2021) - [j2]Karli Gillette, Matthias A. F. Gsell, Anton J. Prassl, Elias Karabelas, Ursula Reiter, Gert Reiter, Thomas Grandits, Christian Payer, Darko Stern, Martin Urschler, Jason D. Bayer, Christoph M. Augustin, Aurel Neic, Thomas Pock, Edward J. Vigmond, Gernot Plank:
A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs. Medical Image Anal. 71: 102080 (2021) - [c3]Thomas Grandits, Simone Pezzuto, Francisco Sahli Costabal, Paris Perdikaris, Thomas Pock, Gernot Plank, Rolf Krause:
Learning Atrial Fiber Orientations and Conductivity Tensors from Intracardiac Maps Using Physics-Informed Neural Networks. FIMH 2021: 650-658 - [i2]Thomas Grandits, Alexander Effland, Thomas Pock, Rolf Krause, Gernot Plank, Simone Pezzuto:
GEASI: Geodesic-based Earliest Activation Sites Identification in cardiac models. CoRR abs/2102.09962 (2021) - [i1]Thomas Grandits, Simone Pezzuto, Francisco Sahli Costabal, Paris Perdikaris, Thomas Pock, Gernot Plank, Rolf Krause:
Learning atrial fiber orientations and conductivity tensors from intracardiac maps using physics-informed neural networks. CoRR abs/2102.10863 (2021) - 2020
- [j1]Thomas Grandits, Karli Gillette, Aurel Neic, Jason D. Bayer, Edward J. Vigmond, Thomas Pock, Gernot Plank:
An inverse Eikonal method for identifying ventricular activation sequences from epicardial activation maps. J. Comput. Phys. 419: 109700 (2020) - [c2]Thomas Grandits, Simone Pezzuto, Jolijn M. Lubrecht, Thomas Pock, Gernot Plank, Rolf Krause:
PIEMAP: Personalized Inverse Eikonal Model from Cardiac Electro-Anatomical Maps. M&Ms and EMIDEC/STACOM@MICCAI 2020: 76-86
2010 – 2019
- 2017
- [c1]Thomas Grandits, Thomas Pock:
Optimizing Wavelet Bases for Sparser Representations. EMMCVPR 2017: 249-262
Coauthor Index
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