MIAAI

Research focus

The Medical Image Analysis & Artificial Intelligence (MIAAI) research center at Danube Private University (DPU) in Wiener Neustadt focuses on developing and validating AI methods for medical imaging across a wide range of diseases, with a strong emphasis on oncology. The group combines advanced image analysis, radiomics, and deep learning to derive quantitative imaging biomarkers for diagnosis, prognosis, and treatment response assessment. It works closely with clinical partners to translate these tools into real-world applications, including decision support for precision medicine and personalized therapy planning.   

Team and expertise

MIAAI brings together a diverse team of researchers with backgrounds in biomedical engineering, computer science and biomedicine. The group’s expertise spans AI applications especially (but not excusively) for medical imaging, including radiology, pathology and endoscopy. Its leaders are internationally recognized specialists in radiology for women’s cancers and in neuro-oncological imaging.

Current projects

MIAAI contributes to interdisciplinary projects that link imaging data with clinical, molecular, and digital health information. The center is actively involved in national and international collaborations, hosts workshops and teaching activities, and supports the university’s growing focus on AI-driven biomedical research and education.

The group’s research projects are often developed in close collaboration with clinical partners and are guided by real-world medical needs. By combining cutting-edge technologies such as AI and quantum-based imaging, the team aims to advance both diagnostics and therapy. 

Current projects and research focuses include:

• Integrating quantum-based metabolic imaging with advanced AI methods to enhance diagnosis and treatment
• Early detection and monitoring of diseases such as cancer, Alzheimer’s disease, and multiple sclerosis through analysis of metabolic changes
• Developing AI-based tools to analyze complex lymphoid structures in translational research
• Applying AI-supported imaging and analysis specifically in the field of female cancer