no code implementations • 3 Aug 2023 • Katarína Tóthová, Ľubor Ladický, Daniel Thul, Marc Pollefeys, Ender Konukoglu
Predictive variability due to data ambiguities has typically been addressed via construction of dedicated models with built-in probabilistic capabilities that are trained to predict uncertainty estimates as variables of interest.
no code implementations • 5 Oct 2020 • Katarína Tóthová, Sarah Parisot, Matthew Lee, Esther Puyol-Antón, Andrew King, Marc Pollefeys, Ender Konukoglu
Surface reconstruction from magnetic resonance (MR) imaging data is indispensable in medical image analysis and clinical research.
no code implementations • 30 Jul 2018 • Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Lisa M. Koch, Andrew P. King, Ender Konukoglu, Marc Pollefeys
Surface reconstruction is a vital tool in a wide range of areas of medical image analysis and clinical research.