Two papers accepted at MICCAI 2023

Cosmin I. Bercea
May 26, 2023 1 min read

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

MorphAEus

  • Curios what auto-encoders actually learn? Check out this project page to find out more.

PHANES

  • How can we reverse anomalies in medical images? Check out the project here.
Cosmin I. Bercea
Cosmin I. Bercea
Doctoral Researcher

I specialize in advanced machine learning for normative learning, aiming to enhance the early detection of diverse unknown conditions.