引用次数
引用: 29,345
H-指数: 68
I10-指数 : 151
出版物: 244
Analysis of the influence of deviations between training and test data in learned image reconstruction
Thomas Pock , Daniel K Sodickson , Kerstin Hammernik , Michael P Recht
ISMRM Workshop on Machine Learning
2018
Variational Adversarial Networks for Accelerated MR Image Reconstruction
Thomas Pock , Daniel K Sodickson , Kerstin Hammernik , Michael P Recht
Joint Annual Meeting ISMRM-ESMRMB 2018
7
2018
Techniques for Gradient Based Bilevel Optimization with Nonsmooth Lower Level Problems
Peter Ochs , René Ranftl , Thomas Brox , Thomas Pock
arXiv: Optimization and Control
47
2016
On learning optimized reaction diffusion processes for effective image restoration
Wei Yu , Thomas Pock , Yunjin Chen
arXiv: Computer Vision and Pattern Recognition
342
2015
Fast Decomposable Submodular Function Minimization using Constrained Total Variation
Thomas Pock , Francis R. Bach , Senanayak Sesh Kumar Karri
neural information processing systems 32 8185 -8195
2019
Interactive 3D segmentation as an example for medical visual computing
Martin Urschler , Thomas Pock , Alexander Bornik , E. Scheurer
VGI - Österreichische Zeitschrift für Vermessung & Geoinformation 97 ( 3) 311 -318
2009
Impact of the latent space on the ability of GANs to fit the distribution
Thomas Pock , Daniel Soukup , Thomas Pinetz
3
2019
A Joint Energy Formulation for 3D Particle Reconstruction and Velocity Field Estimation
Thomas Pock , Konrad Schindler , Christoph Vogel , Katrin Lasinger
International Symposium on Particle Image Velocimetry (ISPIV2019)
2019
Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems
Thomas Pock , Friedrich Fraundorfer , Patrick Knöbelreiter , Alexander Shekhovtsov
arXiv: Computer Vision and Pattern Recognition
17
2020
Combining Variational Optimization and Deep Learning for efficient ASL image quality enhancement
Thomas Pock , Christoph Stefan Aigner , Kerstin Hammernik , Rudolf Stollberger
ESMRMB Annual Scientific Meeting 2019
2019
Learning Consistent Discretizations of the Total Variation
Antonin Chambolle , Thomas Pock
HAL Archives-ouvertes.fr 2020
16
2020
Variational 3D-PIV with sparse descriptors
Thomas Pock , Thomas Pock , Konrad Schindler , Christoph Vogel
Measurement Science and Technology 29 ( 6) 064010
8
2018
Revisiting loss-specific training of filter-based MRFs for image restoration
Thomas Pock , René Ranftl , Horst Bischof , Yunjin Chen
arXiv: Computer Vision and Pattern Recognition
76
2014
BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo
Thomas Pock , Friedrich Fraundorfer , Patrick Knobelreiter , Andreas Kuhn
international conference on 3d vision 394 -403
2020
PIEMAP: Personalized Inverse Eikonal Model from Cardiac Electro-Anatomical Maps.
Thomas Pock , Simone Pezzuto , Gernot Plank , Rolf Krause
M&Ms and EMIDEC/STACOM@MICCAI 76 -86
2020
One-sided Frank-Wolfe algorithms for saddle problems
Thomas Pock , Vladimir Kolmogorov
arXiv: Optimization and Control
2021
Learning atrial fiber orientations and conductivity tensors from intracardiac maps using physics-informed neural networks.
Thomas Pock , Simone Pezzuto , Paris Perdikaris , Francisco Sahli Costabal
arXiv: Learning
2021
Inverse GANs for accelerated MRI reconstruction
Thomas Pock , Kerstin Hammernik , Florian Knoll , Dominik Narnhofer
Proceedings of SPIE
36
2019
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction.
Thomas Pock , Kerstin Hammernik , Alexander Effland , Erich Kobler
arXiv: Image and Video Processing
20
2021
Total Deep Variation for SparseCT Reconstruction
Thomas Pock , Daniel Sodickson , Alexander Effland , Erich Kobler
6th International Conference on Image Formation in X-Ray Computed Tomography
2020
Horst Bischof Antonin Chambolle Daniel Cremers Erich Kobler Kerstin Hammernik Florian Knoll Daniel Sodickson Yunjin Chen Rene Ranftl Kristian Bredies Teresa Klatzer Zach Christopher Peter Ochs Karl Kunisch Alexander Effland Manuel Werlberger Rudolf Stollberger Thomas Brox Patrick Knöbelreiter Christoph Vogel