U2-Net: A Bayesian U-Net model with epistemic uncertainty feedback for
photoreceptor layer segmentation in pathological OCT scans

U2-Net: A Bayesian U-Net model with epistemic uncertainty feedback for photoreceptor layer segmentation in pathological OCT scans

23 January 2019

Philipp Seeböck

Hrvoje Bogunović

Bianca S. Gerendas

U. Schmidt-Erfurth

Papers citing "U2-Net: A Bayesian U-Net model with epistemic uncertainty feedback for photoreceptor layer segmentation in pathological OCT scans"

8 / 8 papers shown

Title
Bayesian Deep Learning Approaches for Uncertainty-Aware Retinal OCT Image Segmentation for Multiple Sclerosis Samuel T. M. Ball UQCV BDL 34 0 0 17 May 2025
Medical Image Segmentation Review: The success of U-Net Reza Azad Ehsan Khodapanah Aghdam Amelie Rauland Yiwei Jia Atlas Haddadi Avval Afshin Bozorgpour Sanaz Karimijafarbigloo Joseph Paul Cohen Ehsan Adeli Dorit Merhof SSeg 28 268 0 27 Nov 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
Beyond Voxel Prediction Uncertainty: Identifying brain lesions you can trust Benjamin Lambert Florence Forbes Senan Doyle A. Tucholka M. Dojat UQCV MedIm 24 6 0 22 Sep 2022
Y-Net: A Spatiospectral Dual-Encoder Networkfor Medical Image Segmentation Azade Farshad Yousef Yeganeh Peter L. Gehlbach Nassir Navab 34 34 0 15 Apr 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 29 12 0 22 Sep 2021
U-Net and its variants for medical image segmentation: theory and applications N. Siddique Sidike Paheding Colin P. Elkin Vijay Devabhaktuni SSeg 33 1,046 0 02 Nov 2020
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT Philipp Seeböck J. Orlando T. Schlegl S. Waldstein Hrvoje Bogunović S. Klimscha Georg Langs U. Schmidt-Erfurth UQCV 19 134 0 29 May 2019