On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation

7 June 2018

Alain Jungo

Raphael Meier

E. Ermiş

Marcela Blatti-Moreno

Roland Wiest

Papers citing "On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation"

20 / 20 papers shown

Title
MedVKAN: Efficient Feature Extraction with Mamba and KAN for Medical Image Segmentation Hancan Zhu Jinhao Chen Guanghua He Mamba 39 0 0 17 May 2025
Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results Meritxell Riera-Marin S. Ko Julia Rodriguez-Comas Matthias Stefan May Zhaohong Pan ... Anton Aubanell Andreu Antolin Javier Garcia-Lopez M. A. G. Ballester Adrian Galdran UQCV 51 0 0 13 May 2025
BrainSegDMlF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation Haozhao Wang Yifeng Wu Huimin Huang Hongtao Wu Jia-Xuan Jiang ... Hao Zheng Xian Wu Yefeng Zheng Jinping Xu Jing Cheng MedIm 36 0 0 09 May 2025
EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation Kudaibergen Abutalip Numan Saeed I. Sobirov Vincent Andrearczyk Adrien Depeursinge Mohammad Yaqub UQCV 37 0 0 25 Mar 2024
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods Ling Huang S. Ruan Yucheng Xing Mengling Feng 46 20 0 09 Oct 2023
A Review of Uncertainty Estimation and its Application in Medical Imaging K. Zou Zhihao Chen Xuedong Yuan Xiaojing Shen Meng Wang Huazhu Fu UQCV 54 87 0 16 Feb 2023
Learning Confident Classifiers in the Presence of Label Noise Asma Ahmed Hashmi Aigerim Zhumabayeva Nikita Kotelevskii A. Agafonov Mohammad Yaqub Maxim Panov Martin Takávc NoLa 67 2 0 02 Jan 2023
Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple raters Junde Wu Huihui Fang Yehui Yang Yuanpei Liu Jing Gao Lixin Duan Weihua Yang Yanwu Xu 23 2 0 01 Dec 2022
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation Brennan Nichyporuk Jillian Cardinell Justin Szeto Raghav Mehta Jean-Pierre Falet Douglas L. Arnold Sotirios A. Tsaftaris Tal Arbel 24 7 0 31 Oct 2022
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis Benjamin Lambert Florence Forbes A. Tucholka Senan Doyle Harmonie Dehaene M. Dojat 34 81 0 05 Oct 2022
USE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference Annotations Sophie Ostmeier Brian Axelrod J. Bertels Fabian Isensee Maarten G.Lansberg Soren Christensen G. Albers Li-Jia Li J. Heit 26 11 0 26 Sep 2022
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principle Junde Wu Huihui Fang Hoayi Xiong Lixin Duan Mingkui Tan Weihua Yang Huiying Liu Yanwu Xu MedIm 55 1 0 05 Aug 2022
Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation Lars Schmarje Vasco Grossmann Claudius Zelenka S. Dippel R. Kiko ... M. Pastell J. Stracke A. Valros N. Volkmann Reinahrd Koch 45 34 0 13 Jul 2022
Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels with Overclustering and Inverse Cross-Entropy Lars Schmarje Johannes Brunger M. Santarossa Simon-Martin Schroder R. Kiko Reinhard Koch 47 17 0 13 Oct 2021
A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation Robin Camarasa D. Bos J. Hendrikse P. Nederkoorn D. Epidemiology D. Neurology Department of Computer Science UQCV 29 12 0 22 Sep 2021
Modeling Annotation Uncertainty with Gaussian Heatmaps in Landmark Localization Franz Thaler Christian Payer M. Urschler Darko Štern 44 10 0 20 Sep 2021
A data-centric approach for improving ambiguous labels with combined semi-supervised classification and clustering Lars Schmarje M. Santarossa Simon-Martin Schroder Claudius Zelenka R. Kiko J. Stracke N. Volkmann Reinhard Koch 34 10 0 30 Jun 2021
Impact of individual rater style on deep learning uncertainty in medical imaging segmentation Olivier Vincent C. Gros Julien Cohen-Adad 37 10 0 05 May 2021
SoftSeg: Advantages of soft versus binary training for image segmentation C. Gros A. Lemay Julien Cohen-Adad 38 72 0 18 Nov 2020
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 213 745 0 06 Jun 2015