3 papers accepted @MICCAI 2023

Projects: MorphAEus, PHANES , and Bias

What Do AEs Learn? Challenging Common Assumptions in Unsupervised Anomaly Detection and Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection by Cosmin I. Bercea et al. have been accepted for publication at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2023 (main conference). Join the posters on Monday, 9 Oct from 16 to 17:30; and Tuesday, 10 Oct from 13 to 14:30.

Bias in Unsupervised Anomaly Detection in Brain MRI will be published at the MICCAI FAIMI Workshop. I will give a talk on Oct 12 from 16-16:15.

The conference which will be held from October 8th to 12th 2023 in Vancouver, Canada.

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Cosmin I. Bercea
Cosmin I. Bercea
Doctoral Researcher

My research is focused on interpretable machine learning for anomaly detection.