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Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide ...
Unsupervised anomaly detection with generative adversarial networks to guide marker discovery. -
Memorizing Normality to Detect Anomaly
Memorizing normality to detect anomaly: Memory-augmented deep autoencoder for unsupervised anomaly detection. -
Multi-Image VQA for Unsupervised Anomaly Detection
Unsupervised anomaly detection dataset for multi-image visual question answering -
IXI dataset
The dataset consists of T1-weighted brain MRI images of patients, with manual segmentation of anatomical structures provided.