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SoftDropConnect (SDC) -- Effective and Efficient Quantification of the
  Network Uncertainty in Deep MR Image Analysis

SoftDropConnect (SDC) -- Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image Analysis

20 January 2022
Qing Lyu
C. Whitlow
Ge Wang
    UQCV
    BDL
ArXivPDFHTML

Papers citing "SoftDropConnect (SDC) -- Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image Analysis"

5 / 5 papers shown
Title
GasHis-Transformer: A Multi-scale Visual Transformer Approach for
  Gastric Histopathological Image Detection
GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathological Image Detection
Hao Chen
Chen Li
Ge Wang
Xirong Li
M. Rahaman
...
Yixin Li
Wanli Liu
Changhao Sun
Shiliang Ai
M. Grzegorzek
ViT
MedIm
34
182
0
29 Apr 2021
Deep Sub-Ensembles for Fast Uncertainty Estimation in Image
  Classification
Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification
Matias Valdenegro-Toro
UQCV
61
51
0
17 Oct 2019
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
5,661
0
05 Dec 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
197
745
0
06 Jun 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
285
9,138
0
06 Jun 2015
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