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On the relationship between calibrated predictors and unbiased volume
  estimation

On the relationship between calibrated predictors and unbiased volume estimation

23 December 2021
Teodora Popordanoska
J. Bertels
Dirk Vandermeulen
F. Maes
Matthew B. Blaschko
ArXivPDFHTML

Papers citing "On the relationship between calibrated predictors and unbiased volume estimation"

4 / 4 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
26
0
0
04 May 2025
Noisy Image Segmentation With Soft-Dice
Noisy Image Segmentation With Soft-Dice
M. Nordström
Henrik Hult
A. Maki
F. Löfman
21
2
0
03 Apr 2023
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
268
5,635
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
247
9,042
0
06 Jun 2015
1