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Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning
  for Segmentation

Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation

16 March 2022
Kaisar Kushibar
Víctor M. Campello
Lidia Garrucho Moras
Akis Linardos
P. Radeva
Karim Lekadir
    UQCV
ArXivPDFHTML

Papers citing "Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation"

8 / 8 papers shown
Title
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
L. J. L. Lopez
Shaza Elsharief
Dhiyaa Al Jorf
Firas Darwish
Congbo Ma
Farah E. Shamout
101
0
0
04 May 2025
Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study
Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study
Zohaib Salahuddin
A. Ibrahim
Sheng Kuang
Y. Widaatalla
R. Miclea
...
Tom Marcelissen
Patricia Zondervan
Auke Jager
Philippe Lambin
Henry C. Woodruff
MedIm
27
0
0
07 Aug 2024
EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for
  Medical Image Segmentation
EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation
Kudaibergen Abutalip
Numan Saeed
I. Sobirov
Vincent Andrearczyk
A. Depeursinge
Mohammad Yaqub
UQCV
32
0
0
25 Mar 2024
A review of uncertainty quantification in medical image analysis:
  probabilistic and non-probabilistic methods
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
Ling Huang
S. Ruan
Yucheng Xing
Mengling Feng
35
20
0
09 Oct 2023
Robust and Generalizable Visual Representation Learning via Random
  Convolutions
Robust and Generalizable Visual Representation Learning via Random Convolutions
Zhenlin Xu
Deyi Liu
Junlin Yang
Colin Raffel
Marc Niethammer
OOD
AAML
49
190
0
25 Jul 2020
Deep Sub-Ensembles for Fast Uncertainty Estimation in Image
  Classification
Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification
Matias Valdenegro-Toro
UQCV
56
51
0
17 Oct 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
273
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
1