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Thomas Pock

Showing results (11-20 of 33) with videos related to

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Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 30, 2007
A duality based algorithm for TV-L1-optical-flow image registrationThomas Pock, Martin Urschler, Christopher Zach, et al.
Medical Image Analysis|January 12, 2010
Segmentation of interwoven 3d tubular tree structures utilizing shape priors and graph cutsChristian Bauer, Thomas Pock, Erich Sorantin, et al.
Journal of Mathematical Imaging and Vision|February 25, 2021
Image Morphing in Deep Feature Spaces: Theory and ApplicationsAlexander Effland, Erich Kobler, Thomas Pock, et al.
IEEE Transactions on Medical Imaging|September 10, 2021
Bayesian Uncertainty Estimation of Learned Variational MRI ReconstructionDominik Narnhofer, Alexander Effland, Erich Kobler, et al.
Magma (New York, N.Y.)|March 31, 2010
Fast reduction of undersampling artifacts in radial MR angiography with 3D total variation on graphics hardwareFlorian Knoll, Markus Unger, Clemens Diwoky, 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.
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.
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.
Magnetic Resonance in Medicine|May 19, 2018
Assessment of the generalization of learned image reconstruction and the potential for transfer learningFlorian Knoll, Kerstin Hammernik, Erich Kobler, 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.
Pageof 4

Showing results (11-20 of 33) with videos related to

Sort By:
Pageof 4
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 30, 2007
A duality based algorithm for TV-L1-optical-flow image registrationThomas Pock, Martin Urschler, Christopher Zach, et al.
Medical Image Analysis|January 12, 2010
Segmentation of interwoven 3d tubular tree structures utilizing shape priors and graph cutsChristian Bauer, Thomas Pock, Erich Sorantin, et al.
Journal of Mathematical Imaging and Vision|February 25, 2021
Image Morphing in Deep Feature Spaces: Theory and ApplicationsAlexander Effland, Erich Kobler, Thomas Pock, et al.
IEEE Transactions on Medical Imaging|September 10, 2021
Bayesian Uncertainty Estimation of Learned Variational MRI ReconstructionDominik Narnhofer, Alexander Effland, Erich Kobler, et al.
Magma (New York, N.Y.)|March 31, 2010
Fast reduction of undersampling artifacts in radial MR angiography with 3D total variation on graphics hardwareFlorian Knoll, Markus Unger, Clemens Diwoky, 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.
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.
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.
Magnetic Resonance in Medicine|May 19, 2018
Assessment of the generalization of learned image reconstruction and the potential for transfer learningFlorian Knoll, Kerstin Hammernik, Erich Kobler, 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.
Pageof 4