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Marcel Kollovieh
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Geometry-aware neural solver for fast Bayesian calibration of brain tumor models
I Ezhov, T Mot, S Shit, J Lipkova, JC Paetzold, F Kofler, C Pellegrini, ...
IEEE Transactions on Medical Imaging 41 (5), 1269-1278, 2021
19*2021
Predict, refine, synthesize: Self-guiding diffusion models for probabilistic time series forecasting
M Kollovieh, AF Ansari, M Bohlke-Schneider, J Zschiegner, H Wang, ...
Advances in Neural Information Processing Systems 36, 2023
112023
Assessing robustness via score-based adversarial image generation
M Kollovieh, L Gosch, Y Scholten, M Lienen, S Günnemann
arXiv preprint arXiv:2310.04285, 2023
42023
U-PET: MRI-based Dementia Detection with Joint Generation of Synthetic FDG-PET Images
M Kollovieh, M Keicher, S Wunderlich, H Burwinkel, T Wendler, N Navab
arXiv preprint arXiv:2206.08078, 2022
22022
Self-Supervised Learning from Unlabeled Fundus Photographs Improves Segmentation of the Retina
J Kukačka, A Zenz, M Kollovieh, D Jüstel, V Ntziachristos
arXiv preprint arXiv:2108.02798, 2021
12021
Efficient Time Series Processing for Transformers and State-Space Models through Token Merging
L Götz, M Kollovieh, S Günnemann, L Schwinn
arXiv preprint arXiv:2405.17951, 2024
2024
Expected Probabilistic Hierarchies
M Kollovieh, B Charpentier, D Zügner, S Günnemann
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Articles 1–7