Dominik Narnhofer

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Dempster Shafer

Distance Transform

Myocardial Motion

Top Venues

SIAM J. Imaging Sci.

IEEE Trans. Medical Imaging

Publications

Michelle Halbheer, Dominik J. Mühlematter, Alexander Becker, Dominik Narnhofer, Helge Aasen, Konrad Schindler, Mehmet Ozgur Turkoglu
LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention Networks. CoRR (2024)
Jakub Micorek, Horst Possegger, Dominik Narnhofer, Horst Bischof, Mateusz Kozinski
MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection. CoRR (2024)
Dominik Narnhofer, Andreas Habring, Martin Holler, Thomas Pock
Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging. SIAM J. Imaging Sci. 17 (1) (2024)
Lea Bogensperger, Dominik Narnhofer, Alexander Falk, Konrad Schindler, Thomas Pock
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms. CoRR (2024)
Alessandro Benfenati, Émilie Chouzenoux, Giorgia Franchini, Salla Latva-Aijo, Dominik Narnhofer, Jean-Christophe Pesquet, Sebastian J. Scott, Mahsa Yousefi
Majorization-Minimization for sparse SVMs. CoRR (2023)
Lea Bogensperger, Dominik Narnhofer, Filip Ilic, Thomas Pock
Score-Based Generative Models for Medical Image Segmentation using Signed Distance Functions. CoRR (2023)
Lea Bogensperger, Dominik Narnhofer, Filip Ilic, Thomas Pock
Score-Based Generative Models for Medical Image Segmentation Using Signed Distance Functions. DAGM (2023)
Dominik Narnhofer, Andreas Habring, Martin Holler, Thomas Pock
Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging. CoRR (2022)
Dominik Narnhofer, Alexander Effland, Erich Kobler, Kerstin Hammernik, Florian Knoll, Thomas Pock
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction. IEEE Trans. Medical Imaging 41 (2) (2022)
Dominik Narnhofer, Alexander Effland, Erich Kobler, Kerstin Hammernik, Florian Knoll, Thomas Pock
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction. CoRR (2021)
Lydia Lindner, Dominik Narnhofer, Maximilian Weber, Christina Gsaxner, Malgorzata Kolodziej, Jan Egger
Using Synthetic Training Data for Deep Learning-Based GBM Segmentation. EMBC (2019)