Bias

Apr 6, 2023

*Bias in Unsupervised Anomaly Detection in Brain MRI

To be published soon…

Check our publications below for more details.

Cosmin I. Bercea
Cosmin I. Bercea
Doctoral Researcher

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

Publications

Bias in Unsupervised Anomaly Detection in Brain MRI
UAD faces significant challenges tied to biases from different sources, including scanners, sex, and race. Future UAD models should maintain sensitivity to pathological shifts while minimizing sensitivity to non-pathological factors.
Cosmin I. Bercea, Esther Puyol-Antón, Benedikt Wiestler, Daniel Rückert, Julia A Schnabel, Andrew P. King
PDF Cite Dataset Project
Bias in Unsupervised Anomaly Detection in Brain MRI
Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening
Moving beyond hyperintensity thresholding. This paper analyzes the challenges and outlines opportunities for advancing the field of unsupervised anomaly detection.
Cosmin I. Bercea, Benedikt Wiestler, Daniel Rückert, Julia A Schnabel
PDF Cite Code Dataset Project Project Poster Video
Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening