Dominik Narnhofer

ETH Zurich — Switzerland

Medicine · Health Sciences

6h-index171citations24works3.52yr avg
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Research Topics

Medical Imaging Techniques and Applications(5), Medical Image Segmentation Techniques(4), Advanced MRI Techniques and Applications(4), Generative Adversarial Networks and Image Synthesis(4), Anomaly Detection Techniques and Applications(3)

Publications24 total

VIST3A: Text-to-3D by Stitching a Multi-view Reconstruction Network to a Video Generator
arXiv (Cornell University)·2025Open Access
Video Depth without Video Models
2025· 5 cited
Solving Inverse Problems with FLAIR
arXiv (Cornell University)·2025Open Access
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms
International Journal of Computer Vision·2025· 5 citedOpen Access
A Variational Perspective on Generative Protein Fitness Optimization
arXiv (Cornell University)·2025Open Access
Video Depth without Video Models
arXiv (Cornell University)·2024Open Access
MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection
2024· 18 cited
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms
arXiv (Cornell University)·2024· 2 citedOpen Access
LoRA-Ensemble: Efficient Uncertainty Modelling for Self-Attention Networks
arXiv (Cornell University)·2024· 1 citedOpen Access
MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection
arXiv (Cornell University)·2024Open Access
Posterior-Variance–Based Error Quantification for Inverse Problems in Imaging
SIAM Journal on Imaging Sciences·2024· 9 cited
Score-Based Generative Models for Medical Image Segmentation Using Signed Distance Functions
Lecture notes in computer science·2024· 6 cited
Majoration-Minimization for Sparse SVMs
Springer INdAM series·2024Open Access
Majorization-Minimization for sparse SVMs
arXiv (Cornell University)·2023· 1 citedOpen Access
Score-Based Generative Models for Medical Image Segmentation using Signed Distance Functions
arXiv (Cornell University)·2023Open Access
Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging
arXiv (Cornell University)·2022· 1 citedOpen Access
Interpretable Solar Flare Prediction with Deep Learning
2022· 2 citedOpen Access
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction
IEEE Transactions on Medical Imaging·2021· 47 citedOpen Access
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction
arXiv (Cornell University)·2021· 1 citedOpen Access
Interpretable Solar Flare Forecasting with Deep Learning
43rd COSPAR Scientific Assembly. Held 28 January - 4 February·2021
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Frequent Co-authors

Thomas Pock(12), Lea Bogensperger(5), Kerstin Hammernik(4), Florian Knöll(4), Konrad Schindler(4), Konrad Schindler(4), Alexander Effland(2), Erich Kobler(2), Jakub Micorek(2), Horst Possegger(2), Horst Bischof(2), Mateusz Koziński(2), Andreas Habring(2), Martin Höller(2), Filip Ilic(2), Bingxin Ke(2), Shengyu Huang(2), Lei Ke(2), Torben Peters(2), Katerina Fragkiadaki(2)