Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Thomas Grandits

Showing results (1-10 of 14) with videos related to

Pageof 2
Sort By:
Medical Image Analysis|June 6, 2025
Accurate and efficient cardiac digital twin from surface ECGs: Insights into identifiability of ventricular conduction systemThomas Grandits, Karli Gillette, Gernot Plank, et al.
IEEE Transactions on Bio-Medical Engineering|December 4, 2023
Digital Twinning of Cardiac Electrophysiology Models From the Surface ECG: A Geodesic Backpropagation ApproachThomas Grandits, Jan Verhulsdonk, Gundolf Haase, et al.
International Journal for Numerical Methods in Biomedical Engineering|June 25, 2021
GEASI: Geodesic-based earliest activation sites identification in cardiac modelsThomas Grandits, Alexander Effland, Thomas Pock, et al.
Advances in Simulation (London, England)|May 4, 2019
Correction to: A systematic literature review of simulation models for non-technical skill training in healthcare logisticsCevin Zhang, Thomas Grandits, Karin Pukk Härenstam, et al.
Statistical Atlases and Computational Models of the Heart. STACOM (Workshop)|September 23, 2024
PIEMAP: Personalized Inverse Eikonal Model from cardiac Electro-Anatomical MapsThomas Grandits, Simone Pezzuto, Jolijn M Lubrecht, et al.
Advances in Simulation (London, England)|August 2, 2018
A systematic literature review of simulation models for non-technical skill training in healthcare logisticsCevin Zhang, Chen Zhang, Thomas Grandits, et al.
Journal of Computational Physics|September 21, 2020
An Inverse Eikonal Method for Identifying Ventricular Activation Sequences from Epicardial Activation MapsThomas Grandits, Karli Gillette, Aurel Neic, et al.
Functional Imaging and Modeling of the Heart : ... International Workshop, FIMH ..., Proceedings. FIMH|January 31, 2022
Learning atrial fiber orientations and conductivity tensors from intracardiac maps using physics-informed neural networksThomas Grandits, Simone Pezzuto, Francisco Sahli Costabal, et al.
Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology|March 22, 2021
Automatic reconstruction of the left atrium activation from sparse intracardiac contact recordings by inverse estimate of fibre structure and anisotropic conduction in a patient-specific modelJolijn M Lubrecht, Thomas Grandits, Ali Gharaviri, et al.
Computers in Biology and Medicine|October 9, 2025
Reconstructing ventricular activation sequences from epicardial data: Insights from Geodesic Back-Propagation optimization in porcine modelsLindsay C R Tanner, Anna Busatto, Thomas Grandits, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Medical Image Analysis|June 6, 2025
Accurate and efficient cardiac digital twin from surface ECGs: Insights into identifiability of ventricular conduction systemThomas Grandits, Karli Gillette, Gernot Plank, et al.
IEEE Transactions on Bio-Medical Engineering|December 4, 2023
Digital Twinning of Cardiac Electrophysiology Models From the Surface ECG: A Geodesic Backpropagation ApproachThomas Grandits, Jan Verhulsdonk, Gundolf Haase, et al.
International Journal for Numerical Methods in Biomedical Engineering|June 25, 2021
GEASI: Geodesic-based earliest activation sites identification in cardiac modelsThomas Grandits, Alexander Effland, Thomas Pock, et al.
Advances in Simulation (London, England)|May 4, 2019
Correction to: A systematic literature review of simulation models for non-technical skill training in healthcare logisticsCevin Zhang, Thomas Grandits, Karin Pukk Härenstam, et al.
Statistical Atlases and Computational Models of the Heart. STACOM (Workshop)|September 23, 2024
PIEMAP: Personalized Inverse Eikonal Model from cardiac Electro-Anatomical MapsThomas Grandits, Simone Pezzuto, Jolijn M Lubrecht, et al.
Advances in Simulation (London, England)|August 2, 2018
A systematic literature review of simulation models for non-technical skill training in healthcare logisticsCevin Zhang, Chen Zhang, Thomas Grandits, et al.
Journal of Computational Physics|September 21, 2020
An Inverse Eikonal Method for Identifying Ventricular Activation Sequences from Epicardial Activation MapsThomas Grandits, Karli Gillette, Aurel Neic, et al.
Functional Imaging and Modeling of the Heart : ... International Workshop, FIMH ..., Proceedings. FIMH|January 31, 2022
Learning atrial fiber orientations and conductivity tensors from intracardiac maps using physics-informed neural networksThomas Grandits, Simone Pezzuto, Francisco Sahli Costabal, et al.
Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology|March 22, 2021
Automatic reconstruction of the left atrium activation from sparse intracardiac contact recordings by inverse estimate of fibre structure and anisotropic conduction in a patient-specific modelJolijn M Lubrecht, Thomas Grandits, Ali Gharaviri, et al.
Computers in Biology and Medicine|October 9, 2025
Reconstructing ventricular activation sequences from epicardial data: Insights from Geodesic Back-Propagation optimization in porcine modelsLindsay C R Tanner, Anna Busatto, Thomas Grandits, et al.
Pageof 2