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Deep evidential fusion with uncertainty quantification and contextual
  discounting for multimodal medical image segmentation

Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation

12 September 2023
Ling Huang
S. Ruan
P. Decazes
Thierry Denoeux
    EDL
    MedIm
ArXivPDFHTML

Papers citing "Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation"

4 / 4 papers shown
Title
Has Multimodal Learning Delivered Universal Intelligence in Healthcare?
  A Comprehensive Survey
Has Multimodal Learning Delivered Universal Intelligence in Healthcare? A Comprehensive Survey
Qika Lin
Yifan Zhu
Xin Mei
Ling Huang
Jingying Ma
Kai He
Zhen Peng
Erik Cambria
Mengling Feng
32
16
0
23 Aug 2024
CrossFuse: A Novel Cross Attention Mechanism based Infrared and Visible
  Image Fusion Approach
CrossFuse: A Novel Cross Attention Mechanism based Infrared and Visible Image Fusion Approach
Hui Li
Xiao-Jun Wu
28
95
0
15 Jun 2024
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
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