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Personal profile

Research interests

The focus of my research is the application of Artificial Intelligence on medical image analyses, and 3D and 4D cardiovascular images in particular. The research encompasses GOFAI (good old-fashioned artificial intelligence) as well as the more novel deep learning / convolutional neural networks approaches. A strong focus is on neurovascular image analysis for diagnosis, prognostics and treatment decision support of patients suffering from (acute ischemic or hemorrhagic) stroke.

Moreover, our research group works on heterogeneous data analysis in which radiological image data is combined with other types (clinical, baseline, lab) data to enhance prognostics. Since our research group is working for a long time on digital image analysis, other aspects of the digitization is also of our interest. Such subjects include image logistics and exchange, privacy and security, and collaboration with ambulances in the hyper-acute situations.


Applied AI for Cardiovascular and Neurovascular Imaging and Image Analysis

Education/Academic qualification

Hoogleraar Radiologie, in het bijzonder Translationele Artificiële Intelligentie, University of Amsterdam, Netherlands

15 Mar 2022 → …

Award Date: 15 Mar 2022

PhD, Surface-wave mode coupling: modeling and inverting waveforms including body-wave phases, Utrecht University

1 Sept 199117 Jan 1996

Award Date: 17 Jan 1996

External positions

CSO, Nico.lab, www.nico-lab.com, 1105BP Amsterdam, The Netherlands

1 Jan 2015 → …


  • Q Science (General)
  • Artificial Intelligence
  • Image Analysis
  • Computer Vision
  • Neurovascular Disease
  • Vascular Imaging
  • Translational AI

Collaborations and top research areas from the last five years

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