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Found 5 papers, 2 papers with code
Adversarial Defense via Image Denoising with Chaotic Encryption
In the literature on adversarial examples, white box and black box attacks have received the most attention.
Learning to Predict Error for MRI Reconstruction
In this paper, we demonstrate that predictive uncertainty estimated by the current methods does not highly correlate with prediction error by decomposing the latter into random and systematic errors, and showing that the former is equivalent to the variance of the random error.
Supervised Uncertainty Quantification for Segmentation with Multiple Annotations
The accurate estimation of predictive uncertainty carries importance in medical scenarios such as lung node segmentation.
Context Encoding Chest X-rays
Chest X-rays are one of the most commonly used technologies for medical diagnosis.
Chest X-ray Inpainting with Deep Generative Models
Generative adversarial networks have been successfully applied to inpainting in natural images.
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