Jeroen van der Laak

Jeroen van der Laak is professor in Computational Pathology and principle investigator at the Department of Pathology of Radboud University Medical Center in Nijmegen, The Netherlands and guest professor at the Center for Medical Image Science and Visualization (CMIV) in Linköping, Sweden. His research group investigates the use of deep learning-based whole-slide image analysis for different applications; improvement of routine pathology diagnostics, objective quantification of immunohistochemical markers, and study of novel imaging biomarkers for prognostics. Jeroen has an MSc in Computer science and acquired his PhD from the Radboud University in Nijmegen. He co-authored over 160 peer-reviewed publications and is member of the editorial boards of Modern Pathology, Laboratory Investigation and the Journal of Pathology Informatics. He is chair of the taskforce ‘AI in Pathology’ of the European Society of Pathology, member of the board of directors of the Digital Pathology Association and organizer of the Computational Pathology Symposium at the European Congress of Pathology. He coordinated the CAMELYON grand challenges in 2016 and 2017. Jeroen van der Laak acquired research grants from the European Union and the Dutch Cancer Society, among others. Jeroen is coordinator of the Bigpicture consortium and USCAP Nathan Kaufman lecture laureate.

Current research projects:

• BIGPICTURE
• Deep PCA
• DIAGGRAFT
• Identification of features in benign breast disease biopsies that predict breast cancer risk
• PathRad Fusion
• STIC
• UNESCO
• UNIC

Finished research projects:

• AMI
• AQUILA
• CAMELYON17
• DCIS
• ExaMode
• PRIM4BC
• PROACTING
• STITPRO I
• STITPRO II
• SysMIFTA
• TIGER Challenge
• Tumor-Stroma Ratio
• VPH-PRISM

Software:

• Automated Gleason Grading
• HookNet
• Neural Image Compression