Cosmin Bercea is a Ph.D. Student at the Institute of Machine Learning for Biomedical Imaging (IML) at Helmholtz Center Munich and Technical University of Munich (TUM). He received his B.Sc. and M.Sc. in Computer Science from the FAU University in Erlangen, Germany, focusing on pattern recognition and medical image analysis. In his Master’s thesis at Siemens Healthineers in Erlangen, he built novel shared memory neural networks for medical imaging. Before his Ph.D., he worked as a research engineer at Bosch Corporate Research, developing deep learning algorithms for scene understanding for self-driving cars. His research interests lie in interpretable machine learning algorithms for anomaly detection.

Interests
  • Generative AI
  • Unsupervised Representation Learning
  • Anomaly Detection
Education
  • M.Sc. in Computer Science, 2018

    FAU Erlangen

  • B.Sc. in Computer Science, 2015

    FAU Erlangen

Student Projects & Theses
  • Diffusion Models for Counterfactual Pathology Synthesis, Master's Thesis

    running, 1.11.2023 | Malek Ben Alaya

  • Diffusion Models for Fetal US Anomaly Detection, GRP

    running, 1.11.2023 | Hanna Mykula

  • Unsupervised Representation Learning for Alzheimer’s Disease Quantification, GRP

    running, 1.10.2023 | Mehmet Yigit Avci

  • Unsupervised Representation Learning for Alzheimer’s Disease Detection, GRP

    finished, 31.10.2023 | Mehmet Yigit Avci

  • Diffusion Models for Unsupervised Anomaly Detection, GRP

    finished, 24.10.2023 | Michael Neumayr

  • Unsupervised Anomaly Detection in Fetal Brain Ultrasound, Master's Thesis

    finished, 15.08.2023 | Ruxandra Petrescu

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