Thomas Grandits

20 papers Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learned Finite Element-based Regularization of the Inverse Problem in Electrocardiographic Imaging.
CoRR
Manuel Haas, Thomas Grandits, Thomas Pinetz, Thomas Beiert, Simone Pezzuto, Alexander Effland
2025 J jnl
Accurate and efficient cardiac digital twin from surface ECGs: Insights into identifiability of ventricular conduction system.
Medical Image Anal.
Thomas Grandits, Karli Gillette, Gernot Plank, Simone Pezzuto
2025 J jnl
Finite Element-Based Space-Time Total-Variation-Type Regularization of the Inverse Problem in Electrocardiographic Imaging.
SIAM J. Sci. Comput.
Manuel Haas, Thomas Grandits, Thomas Pinetz, Thomas Beiert, Simone Pezzuto, Alexander Effland
2025 J jnl
Reconstructing ventricular activation sequences from epicardial data: Insights from Geodesic Back-Propagation optimization in porcine models.
Comput. Biol. Medicine
Lindsay C. Rupp, Anna Busatto, Thomas Grandits, Jake A. Bergquist, Brian Zenger, Simone Pezzuto, Gernot Plank, Robert S. MacLeod, Karli Gillette
2024 J jnl
Digital Twinning of Cardiac Electrophysiology Models From the Surface ECG: A Geodesic Backpropagation Approach.
IEEE Trans. Biomed. Eng.
Thomas Grandits, Jan Verhülsdonk, Gundolf Haase, Alexander Effland, Simone Pezzuto
2024 J jnl
Finite element-based space-time total variation-type regularization of the inverse problem in electrocardiographic imaging.
CoRR
Manuel Haas, Thomas Grandits, Thomas Pinetz, Thomas Beiert, Simone Pezzuto, Alexander Effland
2024 — conf
Shape of my heart: Cardiac models through learned signed distance functions.
MIDL
Jan Verhülsdonk, Thomas Grandits, Francisco Sahli Costabal, Thomas Pinetz, Rolf Krause, Angelo Auricchio, Gundolf Haase, Simone Pezzuto, Alexander Effland
2023 J jnl
Digital twinning of cardiac electrophysiology models from the surface ECG: a geodesic backpropagation approach.
CoRR
Thomas Grandits, Jan Verhülsdonk, Gundolf Haase, Alexander Effland, Simone Pezzuto
2023 J jnl
Shape of my heart: Cardiac models through learned signed distance functions.
CoRR
Jan Verhülsdonk, Thomas Grandits, Francisco Sahli Costabal, Rolf Krause, Angelo Auricchio, Gundolf Haase, Simone Pezzuto, Alexander Effland
2022 J jnl
Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps.
CoRR
Carlos Ruiz Herrera, Thomas Grandits, Gernot Plank, Paris Perdikaris, Francisco Sahli Costabal, Simone Pezzuto
2022 J jnl
Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps.
Eng. Comput.
Carlos Ruiz Herrera, Thomas Grandits, Gernot Plank, Paris Perdikaris, Francisco Sahli Costabal, Simone Pezzuto
2022 J jnl
Smoothness and continuity of cost functionals for ECG mismatch computation.
CoRR
Thomas Grandits, Simone Pezzuto, Gernot Plank
2021 J jnl
A Fast Iterative Method Python package.
J. Open Source Softw.
Thomas Grandits
2021 J jnl
A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs.
Medical Image Anal.
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
2021 J jnl
GEASI: Geodesic-based Earliest Activation Sites Identification in cardiac models.
CoRR
Thomas Grandits, Alexander Effland, Thomas Pock, Rolf Krause, Gernot Plank, Simone Pezzuto
2021 — conf
Learning Atrial Fiber Orientations and Conductivity Tensors from Intracardiac Maps Using Physics-Informed Neural Networks.
FIMH
Thomas Grandits, Simone Pezzuto, Francisco Sahli Costabal, Paris Perdikaris, Thomas Pock, Gernot Plank, Rolf Krause
2021 J jnl
Learning atrial fiber orientations and conductivity tensors from intracardiac maps using physics-informed neural networks.
CoRR
Thomas Grandits, Simone Pezzuto, Francisco Sahli Costabal, Paris Perdikaris, Thomas Pock, Gernot Plank, Rolf Krause
2020 J jnl
An inverse Eikonal method for identifying ventricular activation sequences from epicardial activation maps.
J. Comput. Phys.
Thomas Grandits, Karli Gillette, Aurel Neic, Jason D. Bayer, Edward J. Vigmond, Thomas Pock, Gernot Plank
2020 — conf
PIEMAP: Personalized Inverse Eikonal Model from Cardiac Electro-Anatomical Maps.
M&Ms and EMIDEC/STACOM@MICCAI
Thomas Grandits, Simone Pezzuto, Jolijn M. Lubrecht, Thomas Pock, Gernot Plank, Rolf Krause
2017 — conf
Optimizing Wavelet Bases for Sparser Representations.
EMMCVPR
Thomas Grandits, Thomas Pock