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20232026
most citedOne-Class SVM on siamese neural network latent space for Unsupervised Anomaly Detection on brain MRI White Matter Hyperintensities

2 citations · 3 across the 6 of their papers we have counts for

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eess.IV2025

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization

Robin Trombetta, Carole Lartizien

Unsupervised anomaly detection aims to detect defective parts of a sample by having access, during training, to a set of normal, i.e. defect-free, data. It has many applications in…

eess.IV2025

GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection models

Daria Zotova, Nicolas Pinon, Robin Trombetta +3

Background and Objective. Research in the cross-modal medical image translation domain has been very productive over the past few years in tackling the scarce availability of large…