most citedLeveraging healthy population variability in deep learning unsupervised anomaly detection in brain FDG PET

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

eess.IV2023★ 3 cited

Leveraging healthy population variability in deep learning unsupervised anomaly detection in brain FDG PET

Maëlys Solal, Ravi Hassanaly, Ninon Burgos

Unsupervised anomaly detection is a popular approach for the analysis of neuroimaging data as it allows to identify a wide variety of anomalies from unlabelled data. It relies on b…