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Bayesian Neural Networks for Uncertainty Estimation of Imaging
  Biomarkers

Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers

28 August 2020
J. Senapati
Abhijit Guha Roy
Sebastian Polsterl
Daniel Gutmann
S. Gatidis
C. Schlett
A. Peters
F. Bamberg
Christian Wachinger
    UQCV
ArXivPDFHTML

Papers citing "Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers"

4 / 4 papers shown
Title
From Pointwise to Powerhouse: Initialising Neural Networks with
  Generative Models
From Pointwise to Powerhouse: Initialising Neural Networks with Generative Models
Christian Harder
Moritz Fuchs
Yuri Tolkach
Anirban Mukhopadhyay
35
0
0
25 Oct 2023
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
46
20
0
09 Oct 2023
Gaussian Process Uncertainty in Age Estimation as a Measure of Brain
  Abnormality
Gaussian Process Uncertainty in Age Estimation as a Measure of Brain Abnormality
B. Gutiérrez-Becker
T. Klein
Christian Wachinger
34
48
0
04 Apr 2018
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
9,167
0
06 Jun 2015
1