How inter-rater variability relates to aleatoric and epistemic
uncertainty: a case study with deep learning-based paraspinal muscle
segmentation

How inter-rater variability relates to aleatoric and epistemic uncertainty: a case study with deep learning-based paraspinal muscle segmentation

14 August 2023

Parinaz Roshanzamir

Meagan Anstruther

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Papers citing "How inter-rater variability relates to aleatoric and epistemic uncertainty: a case study with deep learning-based paraspinal muscle segmentation"

10 / 10 papers shown

Title
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 271 1 0 25 Nov 2024
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 67 7 0 31 Oct 2022
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 74 12 0 22 Sep 2021
Impact of individual rater style on deep learning uncertainty in medical imaging segmentation Olivier Vincent C. Gros Julien Cohen-Adad 64 10 0 05 May 2021
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation Jieneng Chen Yongyi Lu Qihang Yu Xiangde Luo Ehsan Adeli Yan Wang Le Lu Alan Yuille Yuyin Zhou ViT MedIm 100 3,506 0 08 Feb 2021
Bayesian Deep Learning and a Probabilistic Perspective of Generalization A. Wilson Pavel Izmailov UQCV BDL OOD 127 656 0 20 Feb 2020
DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep Networks Aryan Mobiny H. Nguyen S. Moulik Naveen Garg Carol C. Wu UQCV BDL 67 162 0 07 Jun 2019
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 362 4,721 0 15 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 847 5,847 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 883 9,353 0 06 Jun 2015

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