Cosmin I. Bercea

Senior Researcher

Technical University Munich

I am currently a postdoctoral researcher at the Technical University of Munich (TUM) working with Prof. Julia Schnabel and Prof. Benedikt Wiestler. I focus on vision & multimodal learning in medicine, with the aim to learn conditional distributions for various downstream medical applications such as counterfactual synthesis, anomaly detection, and visual question-answering.

News

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Selected Projects

Browse our selected projects

Selected Publications

Discover our latest articles

Bercea CI, Wiestler B, Rueckert D, Schnabel JA. "Reversing the abnormal: Pseudo-healthy generative networks for anomaly detection." In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023.

See more publications >

Bercea CI, Wiestler B, Rueckert D, Schnabel JA. "Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening". In Medical Imaging with Deep Learning (MIDL), 2023.

Bercea CI, Wiestler B, Rueckert D, Albarqouni S. "Federated disentangled representation learning for unsupervised brain anomaly detection". In Nature Machine Intelligence, 2022.

Bercea CI, Wiestler B, Rueckert D, Schnabel JA. "Diffusion Models with Implicit Guidance for Medical Anomaly Detection". In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024.

Teaching

News

Courses & Seminars

Student Projects

Software

Experiment with our published code

Automatic Diffusion Models for Unsupervised Anomaly Detection

Pseudo-healthy Generative Networks for Anomaly Detection

Deformable Autoencoders for Unsupervised Anomaly Detection

Towards Universal Anomaly Detection with Generaive AI

Federated Disentangled Brain MRI Pathology Segmentation

Want to connect?

Contact me at cosmin.bercea@tum.de