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Deep learning motivated by convolutional neural networks has been highly successful in a range of medical imaging problems like image classification, image segmentation, image synthesis etc.
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A novel bayesian model incorporating deep neural network and statistical shape model for pancreas segmentation
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Uncertainty quantification using bayesian neural networks in classification: Application to biomedical image segmentation
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