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.
M.Sc. in Computer Science, 2018
FAU Erlangen
B.Sc. in Computer Science, 2015
FAU Erlangen
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