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Addressing The False Negative Problem of Deep Learning MRI Reconstruction Models by Adversarial Attacks and Robust Training.
Kaiyang Cheng
Francesco Calivá
Rutwik Shah
Misung Han
Sharmila Majumdar
Valentina Pedoia
Published in:
MIDL (2020)
Keyphrases
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deep learning
false negative
false positives
deep architectures
high resolution
false negative rate
deep belief networks
training set
restricted boltzmann machine
training examples
false positive rate
unsupervised learning
model selection
multi class
probabilistic model
pairwise
image segmentation