Aad van der Lugt

Aad van der Lugt is a Full Professor at Erasmus MC, Department of Radiology & Nuclear Medicine, within the Faculty of Medicine. His research is highly influential in the domains of stroke, neuroimaging, and artificial intelligence in radiology. He leads and contributes to major clinical and technical research initiatives in cerebrovascular disease.

His research interests focus on brain ischemia, cerebrovascular accidents, CT angiography, endovascular therapy, and deep learning applications in medical imaging. His work bridges clinical neurology with advanced image analysis, aiming to improve patient outcomes through precision diagnostics and treatment prediction. He has contributed extensively to understanding functional recovery post-thrombectomy and the role of socioeconomic factors in stroke care.

The most recent publications reflect a strong trend toward automated imaging analysis, multimodal AI integration, and perfusion modeling, particularly in acute stroke settings. His work combines clinical data with cutting-edge computational techniques, positioning him at the forefront of translational neuro-radiology research.

While no specific awards are listed in the provided text, his high publication volume and leadership in major studies suggest recognition within the medical imaging community.

He has supervised over 40 research projects, indicating a significant role in mentoring early-career researchers and students. Although specific grants are not mentioned, his involvement in multi-center and collaborative studies implies substantial external funding. His research network spans national and international institutions, with active collaboration in Europe and beyond.

Dr. van der Lugt is involved in advanced imaging labs focused on automated vessel analysis, perfusion modeling, and AI-driven stroke outcome prediction. His team develops tools for cerebral CT angiography processing, perfusion estimation from DSA, and deep learning models for patient selection in endovascular therapy.