Thomas Grandits

According to our database, Thomas Grandits authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Digital Twinning of Cardiac Electrophysiology Models From the Surface ECG: A Geodesic Backpropagation Approach.

Thomas Grandits, Jan Verhülsdonk, Gundolf Haase, Alexander Effland, Simone Pezzuto

IEEE Trans. Biomed. Eng., April, 2024

Finite element-based space-time total variation-type regularization of the inverse problem in electrocardiographic imaging.

Manuel Haas, Thomas Grandits, Thomas Pinetz, Thomas Beiert, Simone Pezzuto, Alexander Effland

CoRR, 2024

2023

Shape of my heart: Cardiac models through learned signed distance functions.

Jan Verhülsdonk, Thomas Grandits, Francisco Sahli Costabal, Rolf Krause, Angelo Auricchio, Gundolf Haase, Simone Pezzuto, Alexander Effland

CoRR, 2023

2022

Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps.

Carlos Ruiz Herrera, Thomas Grandits, Gernot Plank, Paris Perdikaris, Francisco Sahli Costabal, Simone Pezzuto

Eng. Comput., 2022

Smoothness and continuity of cost functionals for ECG mismatch computation.

Thomas Grandits, Simone Pezzuto, Gernot Plank

CoRR, 2022

2021

A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs.

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

Medical Image Anal., 2021

A Fast Iterative Method Python package.

Thomas Grandits

J. Open Source Softw., 2021

GEASI: Geodesic-based Earliest Activation Sites Identification in cardiac models.

Thomas Grandits, Alexander Effland, Thomas Pock, Rolf Krause, Gernot Plank, Simone Pezzuto

CoRR, 2021

Learning Atrial Fiber Orientations and Conductivity Tensors from Intracardiac Maps Using Physics-Informed Neural Networks.

Thomas Grandits, Simone Pezzuto, Francisco Sahli Costabal, Paris Perdikaris, Thomas Pock, Gernot Plank, Rolf Krause

Proceedings of the Functional Imaging and Modeling of the Heart, 2021

2020

An inverse Eikonal method for identifying ventricular activation sequences from epicardial activation maps.

Thomas Grandits, Karli Gillette, Aurel Neic, Jason D. Bayer, Edward J. Vigmond, Thomas Pock, Gernot Plank

J. Comput. Phys., 2020

PIEMAP: Personalized Inverse Eikonal Model from Cardiac Electro-Anatomical Maps.

Thomas Grandits, Simone Pezzuto, Jolijn M. Lubrecht, Thomas Pock, Gernot Plank, Rolf Krause

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

2017

Optimizing Wavelet Bases for Sparser Representations.

Thomas Grandits, Thomas Pock

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017