Faculty of Science, Technology and Medicine
Faculty of Law, Economics and Finance
Faculty of Humanities, Education and Social Sciences
Interdisciplinary Centre for Security, Reliability and Trust
Luxembourg Centre for Systems Biomedicine
Luxembourg Centre for Contemporary and Digital History
Luxembourg Centre for European Law
Luxembourg Centre for Socio-Environmental SystemsAI and machine learning for biomedical image analysis
The AI in Biomedical Imaging group, led by Dr. Shekoufeh Gorgi Zadeh, develops machine learning methods to analyse and process complex biomedical imaging data.
A glimpse into our research
We develop innovative, trustworthy AI and machine learning methods for image analysis in close collaboration with biologists and clinicians. Our methods address challenges such as limited data, uncertainty, and interpretability, supporting research and clinical decision-making across diverse imaging applications.
Example brain MRI slices from the Brain Tumor Segmentation (BraTS) 2024 glioma dataset. Top row: FLAIR images; middle row: T1-weighted images; bottom row: T1-weighted images overlaid with the provided tumor segmentation