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Knowing what you know in brain segmentation using Bayesian deep neural
  networks

Knowing what you know in brain segmentation using Bayesian deep neural networks

3 December 2018
Patrick McClure
Nao Rho
J. Lee
Jakub R. Kaczmarzyk
C. Zheng
Satrajit S. Ghosh
D. Nielson
Adam G. Thomas
P. Bandettini
Francisco Pereira
    UQCV
    3DV
    BDL
ArXivPDFHTML

Papers citing "Knowing what you know in brain segmentation using Bayesian deep neural networks"

4 / 4 papers shown
Title
Topology-Aware Uncertainty for Image Segmentation
Topology-Aware Uncertainty for Image Segmentation
Saumya Gupta
Yikai Zhang
Xiaoling Hu
Prateek Prasanna
Chao Chen
28
27
0
09 Jun 2023
Distributional Gaussian Processes Layers for Out-of-Distribution
  Detection
Distributional Gaussian Processes Layers for Out-of-Distribution Detection
S. Popescu
D. Sharp
James H. Cole
Konstantinos Kamnitsas
Ben Glocker
OOD
21
0
0
27 Jun 2022
A Survey of Uncertainty in Deep Neural Networks
A Survey of Uncertainty in Deep Neural Networks
J. Gawlikowski
Cedrique Rovile Njieutcheu Tassi
Mohsin Ali
Jongseo Lee
Matthias Humt
...
R. Roscher
Muhammad Shahzad
Wen Yang
R. Bamler
Xiaoxiang Zhu
BDL
UQCV
OOD
30
1,108
0
07 Jul 2021
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
252
9,134
0
06 Jun 2015
1