Theo van Walsum

Theo van Walsum is an Associate Professor at Erasmus MC, Faculty of Medicine, in the Department of Radiology & Nuclear Medicine. He is actively involved in research at the intersection of medical imaging and artificial intelligence, contributing significantly to computer-assisted radiology and image analysis.

His research interests focus on the development and application of advanced computational methods in clinical imaging. Key areas include deep learning, convolutional neural networks, and image registration techniques for cerebral and pulmonary imaging. His work supports endovascular therapy planning, stroke assessment, and ophthalmic diagnostics, leveraging optical coherence tomography, CT angiography, and adaptive optics imaging. He also explores augmented reality for surgical visualization and guidance.

The recent publications demonstrate a strong trend toward multimodal AI integration in diagnostic and interventional radiology. His work increasingly emphasizes automated, quantitative analysis of vascular structures and functional outcome prediction in neurointerventional procedures. This reflects a broader shift toward precision medicine enabled by machine learning and 3D imaging.

Scientific Contributions and Supervision:
Dr. van Walsum has contributed to over 165 research outputs and supervised at least 14 research projects, indicating an active role in mentoring students and junior researchers. Though specific awards are not listed, his consistent publication record in high-impact journals and involvement in cutting-edge AI applications suggest significant recognition in the field.

He is involved in collaborative research across disciplines, particularly in neurology, ophthalmology, and thoracic surgery. His work supports clinical decision-making through automated tools for vessel segmentation, centerline extraction, and surgical planning, contributing to both diagnostic accuracy and procedural efficiency.