Using Synthetic Training Data for Deep Learning-Based GBM Segmentation. - Lydia Lindner; Dominik Narnhofer; Maximilian Weber; Christina Gsaxner; Malgorzata Kolodziej; Jan Egger (EMBC, 2019)

Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction. - Dominik Narnhofer; Alexander Effland; Erich Kobler; Kerstin Hammernik; Florian Knoll; Thomas Pock (IEEE Trans. Medical Imaging, 2022)

Score-Based Generative Models for Medical Image Segmentation Using Signed Distance Functions. - Lea Bogensperger; Dominik Narnhofer; Filip Ilic; Thomas Pock (DAGM, 2023)

Majorization-Minimization for sparse SVMs. - Alessandro Benfenati; Emilie Chouzenoux; Giorgia Franchini; Salla Latva-Aijo; Dominik Narnhofer; Jean-Christophe Pesquet; Sebastian J. Scott; Mahsa Yousefi (CoRR, 2023)

MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection. - Jakub Micorek; Horst Possegger; Dominik Narnhofer; Horst Bischof; Mateusz Kozinski (CVPR, 2024)

LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention Networks. - Michelle Halbheer; Dominik J. Mühlematter; Alexander Becker; Dominik Narnhofer; Helge Aasen; Konrad Schindler; Mehmet Ozgur Turkoglu (CoRR, 2024)

Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging. - Dominik Narnhofer; Andreas Habring; Martin Holler; Thomas Pock (SIAM J. Imaging Sci., 2024)

Video Depth without Video Models. - Bingxin Ke; Dominik Narnhofer; Shengyu Huang; Lei Ke; Torben Peters; Katerina Fragkiadaki; Anton Obukhov; Konrad Schindler (CVPR, 2025)

A Variational Perspective on Generative Protein Fitness Optimization. - Lea Bogensperger; Dominik Narnhofer; Ahmed Allam; Konrad Schindler; Michael Krauthammer (CoRR, 2025)

Solving Inverse Problems with FLAIR. - Julius Erbach; Dominik Narnhofer; Andreas Dombos; Bernt Schiele; Jan Eric Lenssen; Konrad Schindler (CoRR, 2025)

FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms. - Lea Bogensperger; Dominik Narnhofer; Alexander Falk; Konrad Schindler; Thomas Pock (Int. J. Comput. Vis., 2025)