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Dominik Narnhofer
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2020 – today
- 2025
[j3]Lea Bogensperger, Dominik Narnhofer, Alexander Falk, Konrad Schindler, Thomas Pock:
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms. Int. J. Comput. Vis. 133(7): 4864-4876 (2025)
[c4]Bingxin Ke, Dominik Narnhofer, Shengyu Huang, Lei Ke, Torben Peters, Katerina Fragkiadaki, Anton Obukhov, Konrad Schindler:
Video Depth without Video Models. CVPR 2025: 7233-7243
[i11]Lea Bogensperger, Dominik Narnhofer, Ahmed Allam, Konrad Schindler, Michael Krauthammer:
A Variational Perspective on Generative Protein Fitness Optimization. CoRR abs/2501.19200 (2025)
[i10]Julius Erbach, Dominik Narnhofer, Andreas Dombos, Bernt Schiele, Jan Eric Lenssen, Konrad Schindler:
Solving Inverse Problems with FLAIR. CoRR abs/2506.02680 (2025)
[i9]Alexander Becker, Julius Erbach, Dominik Narnhofer, Konrad Schindler:
Continuous Space-Time Video Super-Resolution with 3D Fourier Fields. CoRR abs/2509.26325 (2025)- 2024
[j2]Dominik Narnhofer
, Andreas Habring, Martin Holler
, Thomas Pock:
Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging. SIAM J. Imaging Sci. 17(1): 301-333 (2024)
[c3]Jakub Micorek, Horst Possegger
, Dominik Narnhofer, Horst Bischof
, Mateusz Kozinski
:
MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection. CVPR 2024: 18868-18877
[i8]Jakub Micorek, Horst Possegger, Dominik Narnhofer, Horst Bischof, Mateusz Kozinski:
MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection. CoRR abs/2403.14497 (2024)
[i7]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 abs/2405.14438 (2024)
[i6]Lea Bogensperger, Dominik Narnhofer, Alexander Falk, Konrad Schindler, Thomas Pock:
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms. CoRR abs/2405.18087 (2024)
[i5]Bingxin Ke, Dominik Narnhofer, Shengyu Huang, Lei Ke, Torben Peters, Katerina Fragkiadaki, Anton Obukhov, Konrad Schindler:
Video Depth without Video Models. CoRR abs/2411.19189 (2024)- 2023
[c2]Lea Bogensperger, Dominik Narnhofer, Filip Ilic, Thomas Pock:
Score-Based Generative Models for Medical Image Segmentation Using Signed Distance Functions. DAGM 2023: 3-17
[i4]Lea Bogensperger, Dominik Narnhofer, Filip Ilic, Thomas Pock:
Score-Based Generative Models for Medical Image Segmentation using Signed Distance Functions. CoRR abs/2303.05966 (2023)
[i3]Alessandro Benfenati, Emilie Chouzenoux, Giorgia Franchini, Salla Latva-Aijo, Dominik Narnhofer, Jean-Christophe Pesquet, Sebastian J. Scott, Mahsa Yousefi:
Majorization-Minimization for sparse SVMs. CoRR abs/2308.16858 (2023)- 2022
[j1]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): 279-291 (2022)
[i2]Dominik Narnhofer, Andreas Habring, Martin Holler, Thomas Pock:
Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging. CoRR abs/2212.12499 (2022)- 2021
[i1]Dominik Narnhofer, Alexander Effland, Erich Kobler, Kerstin Hammernik, Florian Knoll, Thomas Pock:
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction. CoRR abs/2102.06665 (2021)
2010 – 2019
- 2019
[c1]Lydia Lindner, Dominik Narnhofer, Maximilian Weber, Christina Gsaxner
, Malgorzata Kolodziej, Jan Egger:
Using Synthetic Training Data for Deep Learning-Based GBM Segmentation. EMBC 2019: 6724-6729
Coauthor Index

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last updated on 2025-10-23 02:00 CEST by the dblp team
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