Ine Dirks

Ine Dirks is a postdoctoral researcher at the College of Electronics and Informatics, specializing in deep learning applications for medical imaging. Her work focuses on lesion detection, surgical process modeling, and biomedical optics, with external collaborations across Belgium and Europe.

• ORCID: 0000-0002-1648-0358
• Location: Pleinlaan 2, 1050 Brussels, Belgium

Research Interests:

• Deep learning for [18F]FDG PET/CT and thoracic CT imaging
• Automated segmentation in aortic and tumor analysis
• Interpretable AI for medical diagnosis
• Surgical proficiency evaluation via process modeling

Research Output Trends: Her recent publications (2024–2025) emphasize interpretable deep learning for lesion detection, ROI optimization in segmentation, and surgical workflow analysis. Earlier work includes structural engineering applications (2015) and stroke diagnosis tools (2018).