Cosmin I. Bercea
Cosmin I. Bercea
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PHANES
Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection.
RA
Moving beyond hyperintensity thresholding. This work analyzes the challenges and outlines opportunities for advancing the field of unsupervised anomaly detection.
MorphAEus
Novel deformable auto-encoders for unsupervised outlier detection.
FedDis
Implicit disentanglement of shape and appearance with federated learning for unsupervised brain pathology segmentation.
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