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Bias Field Robustness Verification of Large Neural Image Classifiers
Patrick Henriksen
, Kerstin Hammernik
,
Daniel Rueckert
, Alessio Lomuscio
Informatics 31 - Chair of Artificial Intelligence in Healthcare and Medicine
Imperial College London
Technical University of Munich
Research output
:
Contribution to conference
›
Paper
›
peer-review
15
Scopus citations
Overview
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Keyphrases
Neural Network
100%
Image Classification
100%
Bias Field
100%
Robustness Verification
100%
Preprocessing Techniques
33%
Computer Vision
33%
ImageNet
33%
CIFAR-10
33%
Tuneability
33%
Large Classes
33%
Spatially Variable
33%
Fast MRI
33%
Formal Verification
33%
Intensity Inhomogeneity
33%
Network Operation
33%
Interval Propagation
33%
Multiplicative Transformation
33%
Field Transformation
33%
Rectified Linear Unit (ReLU)
33%
Computer Science
Neural Network
100%
Preprocessing Step
33%
Field Transformation
33%
Formal Verification
33%
Network Operation
33%
Intensity Inhomogeneity
33%
Analysis Model
33%
Graphics Processing Unit
33%
Computer Vision
33%
Engineering
Bias Field
100%
Illustrates
33%
Computervision
33%
Nodes
33%
Processing Step
33%
Graphics Processing Unit
33%
Intensity Inhomogeneity
33%