EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation

25 March 2024

Papers citing "EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation"

7 / 7 papers shown

Title
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation Kim-Celine Kahl Carsten T. Lüth M. Zenk Klaus Maier-Hein Paul F. Jaeger UQCV 83 17 0 16 Jan 2024
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation Kaisar Kushibar Víctor M. Campello Lidia Garrucho Moras Akis Linardos Petia Radeva Karim Lekadir UQCV 33 18 0 16 Mar 2022
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 220 1,146 0 07 Jul 2021
Deep Learning Through the Lens of Example Difficulty R. Baldock Hartmut Maennel Behnam Neyshabur 72 160 0 17 Jun 2021
Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study Matthew Ng F. Guo L. Biswas S. Petersen Stefan K. Piechnik S. Neubauer G. Wright UQCV 56 32 0 31 Dec 2020
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning Arsenii Ashukha Alexander Lyzhov Dmitry Molchanov Dmitry Vetrov UQCV FedML 77 319 0 15 Feb 2020
On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation Alain Jungo Raphael Meier E. Ermiş Marcela Blatti-Moreno Evelyn Herrmann Roland Wiest M. Reyes UQCV 52 97 0 07 Jun 2018