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Propagation and Attribution of Uncertainty in Medical Imaging Pipelines

Propagation and Attribution of Uncertainty in Medical Imaging Pipelines

28 September 2023
Leonhard F. Feiner
M. Menten
Kerstin Hammernik
Paul Hager
Wenqi Huang
Rafael Azevedo
R. Braren
Georgios Kaissis
    MedIm
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Papers citing "Propagation and Attribution of Uncertainty in Medical Imaging Pipelines"

5 / 5 papers shown
Title
How Should We Evaluate Uncertainty in Accelerated MRI Reconstruction?
Luca Trautmann
Peter Wijeratne
Itamar Ronen
Ivor Simpson
66
0
0
13 Mar 2025
Guiding Quantitative MRI Reconstruction with Phase-wise Uncertainty
Guiding Quantitative MRI Reconstruction with Phase-wise Uncertainty
Haozhong Sun
Zhongsen Li
Chenlin Du
Haokun Li
Yajie Wang
Huijun Chen
64
0
0
28 Feb 2025
Trustworthy clinical AI solutions: a unified review of uncertainty
  quantification in deep learning models for medical image analysis
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
80
0
05 Oct 2022
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
276
5,683
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
287
9,156
0
06 Jun 2015
1