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Josefine Vilsbøll Sundgaard is a postdoctoral researcher engaged in advanced medical image analysis, focusing on cardiometabolic image biomarkers and deep learning methods. Her research actively contributes to the UN Sustainable Development Goals, addressing critical health issues through innovative imaging techniques. With expertise in image-derived biomarkers, she supervises PhD students in related projects and presents research findings at international conferences. Josefine's collaborative efforts span various projects, exploring the manifestations of heart failure with preserved ejection fraction (HFpEF) and pediatric middle ear diagnostics. She is committed to driving advancements in medical imaging and contributing to the academic community through her research initiatives.
Technical University of Denmark • Kgs. Lyngby, Denmark
Conducts research in advanced medical image analysis and supervises PhD students.
This requirement applies generally across Technical University of Denmark (DTU) MSc programs including Computer Science, Applied Mathematics, and Engineering disciplines. Specific prerequisites vary by department/curriculum.