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2020 – today
- 2023
[i3]Katarína Tóthová, Lubor Ladicky, Daniel Thul, Marc Pollefeys, Ender Konukoglu:
Quantification of Predictive Uncertainty via Inference-Time Sampling. CoRR abs/2308.01731 (2023)- 2022
- [b1]Katarína Tóthová:
On Predicting with Aleatoric Uncertainty in Deep Learning. ETH Zurich, Zürich, Switzerland, 2022 - [c4]Katarína Tóthová
, Lubor Ladicky, Daniel Thul, Marc Pollefeys, Ender Konukoglu:
Quantification of Predictive Uncertainty via Inference-Time Sampling. UNSURE@MICCAI 2022: 14-25 - 2020
- [c3]Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Andrew P. King, Marc Pollefeys, Ender Konukoglu:
Probabilistic 3D Surface Reconstruction from Sparse MRI Information. MICCAI (1) 2020: 813-823 - [i2]Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Andrew P. King, Marc Pollefeys, Ender Konukoglu:
Probabilistic 3D surface reconstruction from sparse MRI information. CoRR abs/2010.02041 (2020)
2010 – 2019
- 2018
- [c2]Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Lisa M. Koch, Andrew P. King, Ender Konukoglu, Marc Pollefeys:
Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors. ShapeMI@MICCAI 2018: 300-310 - [i1]Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Lisa M. Koch, Andrew P. King, Ender Konukoglu, Marc Pollefeys:
Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors. CoRR abs/1807.11272 (2018) - 2014
- [c1]Peter Krammer, Ondrej Habala, Ladislav Hluchý, Katarína Tóthová:
Data mining in hydrological domain. FSKD 2014: 725-728
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