UNSURE2020 special issue

https://doi.org/10.59275/j.melba.2021-a184

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

Guest editors,
  • Christian Baumgartner;
  • Adrian Dalca;
  • Carole Sudre;
  • Ryutaro Tanno;
  • Sandy Wells.
Workshop page

3 papers


Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo cover file

Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo

2021/10/27
UNSURE2020 special issue

Daniel GrzechImperial College London, UK, Mohammad Farid AzampourImperial College London, UK
Technische Universität München, Germany
Sharif University of Technology, Tehran, Iran, Huaqi QiuImperial College London, UK, Ben GlockerImperial College London, UK, Bernhard KainzImperial College London, UK
Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany, Loïc Le FolgocImperial College London, UK

PDF · Code · arXiv
A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation cover file

A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation

2021/09/28
UNSURE2020 special issue

Robin CamarasaErasmus MC, Rotterdam, Daniel BosErasmus MC, Rotterdam, Jeroen HendrikseUniversity Medical Center Utrecht, Paul NederkoornAcademic Medical Center University of Amsterdam, M. Eline Kooi CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Aad van der LugtErasmus MC, Rotterdam, Marleen de BruijneErasmus MC, Rotterdam
University of Copenhagen, Denmark

PDF · Code · Python package · Video · arXiv
Modeling Annotation Uncertainty with Gaussian Heatmaps in Landmark Localization cover file

Modeling Annotation Uncertainty with Gaussian Heatmaps in Landmark Localization

2021/09/24
UNSURE2020 special issue

Franz ThalerMedical University of Graz, Austria, Christian PayerGraz University of Technology, Austria, Martin UrschlerThe University of Auckland, New Zealand, Darko ŠternMedical University of Graz, Austria

PDF · Code · Video · arXiv