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Uncertainty Quantification in Medical Image Segmentation with
  Multi-decoder U-Net

Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net

15 September 2021
Yanwu Yang
Xutao Guo
Yiwei Pan
P. Shi
Haiyan Lv
Tingxia Ma
    UQCV
ArXivPDFHTML

Papers citing "Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net"

12 / 12 papers shown
Title
Hyperparameter Ensembles for Robustness and Uncertainty Quantification
Hyperparameter Ensembles for Robustness and Uncertainty Quantification
F. Wenzel
Jasper Snoek
Dustin Tran
Rodolphe Jenatton
UQCV
44
206
0
24 Jun 2020
Assessing Reliability and Challenges of Uncertainty Estimations for
  Medical Image Segmentation
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation
Alain Jungo
M. Reyes
UQCV
93
136
0
07 Jul 2019
Supervised Uncertainty Quantification for Segmentation with Multiple
  Annotations
Supervised Uncertainty Quantification for Segmentation with Multiple Annotations
Shi Hu
Daniel E. Worrall
Stefan Knegt
Bastiaan S. Veeling
Henkjan Huisman
Max Welling
UQCV
23
95
0
03 Jul 2019
Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer
  Vision
Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision
Fredrik K. Gustafsson
Martin Danelljan
Thomas B. Schon
OOD
UQCV
BDL
49
298
0
04 Jun 2019
A Probabilistic U-Net for Segmentation of Ambiguous Images
A Probabilistic U-Net for Segmentation of Ambiguous Images
Simon A. A. Kohl
Bernardino Romera-Paredes
Clemens Meyer
J. Fauw
J. Ledsam
Klaus H. Maier-Hein
S. M. Ali Eslami
Danilo Jimenez Rezende
Olaf Ronneberger
UQCV
SSeg
62
570
0
13 Jun 2018
Arbitrary Style Transfer in Real-time with Adaptive Instance
  Normalization
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Xun Huang
Serge J. Belongie
OOD
132
4,331
0
20 Mar 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDL
OOD
UD
UQCV
PER
250
4,667
0
15 Mar 2017
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
454
5,748
0
05 Dec 2016
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder
  Architectures for Scene Understanding
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
Alex Kendall
Vijay Badrinarayanan
R. Cipolla
UQCV
BDL
52
1,062
0
09 Nov 2015
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
425
9,233
0
06 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
979
76,547
0
18 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
590
149,474
0
22 Dec 2014
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