Cosmin Bercea is a Ph.D. student at the Institute of Machine Learning for Biomedical Imaging (IML), at Helmholtz Center Munich and the Technical University of Munich (TUM). He earned his B.Sc. and M.Sc. degrees in Computer Science from FAU University in Erlangen, Germany, where he specialized in pattern recognition and medical image analysis. His research background encompasses computer vision for autonomous driving and machine learning for medical image analysis. His current research centers on machine learning and image understanding, with a specific emphasis on developing robust algorithms capable of identifying a wide array of unknown anomalies in medical images.

Interests
  • Generative AI
  • Diffusion Models
  • Representation Learning
  • Normative 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

    finished, 12.03.2024 | Hanna Mykula

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

    finished, 12.03.2024 | 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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