Jef Vandemeulebroucke

Jef Vandemeulebroucke is a researcher at the Department of Electronics and Informatics, Vrije Universiteit Brussel (VUB), specializing in medical imaging, computer vision, and augmented reality applications in healthcare. His work bridges artificial intelligence with radiology and biomechanics, focusing on automated segmentation, predictive modeling, and real-time surgical navigation systems.

Research interests include:

• Medical image analysis for disease prognosis (e.g., COVID-19 severity, neurosurgical drains)
• Development of MedShapeNet, a 3D medical shape dataset for computer vision
• Augmented reality systems in orthopedic and neurosurgical interventions
• AI-driven fluorescence endoscopy and dynamic CT for joint kinematics

Key trends in his 140+ publications emphasize deep learning, image registration, and 4D-CT applications. Supervised theses include brain age prediction and chest radiography automation. Active in 38 projects (e.g., AI-NIMO, TumorScope), he collaborates with institutions like the Universitair Ziekenhuis Brussel (UZB) and FWO (Fund for Scientific Research-Flanders).