People Jeroen van der Laak

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Jeroen van der Laak PhD

+316 15 89 16 07
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Jeroen van der Laak associate professor

Jeroen van der Laak is associate professor in digital Pathology at the Department of Anatomic Pathology. Focusing on computational pathology, his research group investigates the use of deep learning based analysis of whole slide images for different applications.

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Jeroen van der Laak associate professor

Jeroen van der Laak is associate professor in digital Pathology at the Department of Anatomic Pathology of the Radboud University Medical Center in Nijmegen, The Netherlands. Focusing on computational pathology, his research group investigates the use of deep learning based analysis of whole slide images for different applications: improvement of routine pathology diagnostics, objective quantification of immunohistochemical markers, and study of novel imaging biomarkers for prognostics. Dr van der Laak has an MSc in computer science and acquired his PhD from the Radboud University in Nijmegen. He co-authored over 80 peer-reviewed publications and is member of the editorial board of the Journal of Pathology Informatics. He is organizer of sessions at the European Congress of Pathology and Pathology Visions and coordinated the highly successful CAMELYON grand challenges in 2016 and 2017. Dr van der Laak acquired research grants from the European Union and the Dutch Cancer Society, among others. He is frequently invited as a speaker at international conferences.

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Field of study

Pathology

Research group Computational pathology group

Jeroen van der Laak's research group develops, validates and deploys novel medical image analysis methods based on deep learning technology and focusing on computer-aided diagnosis.

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Radboudumc Technology Center Microscopy

The Microscopic Imaging Center offers access to both standard and innovative advanced microscopy infrastructure and applications including technical operator-assistance and in-depth microscopic imaging knowledge.

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Radboud Institute for Health Sciences

Ideally, every procedure in clinical practice and public health should take place based on proof, instead of intuition or 'experience'. Our aim is to innovate and personalize healthcare and public health. read more