Author

K. Verrijp

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Assay:CITE-seq· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

C. G. Figdor· 2 shared M. A. J. Gorris· 2 shared A. B. van Spriel· 1 shared A. Bartolo-Ibars· 1 shared B. Deplancke· 1 shared D. Benitez-Ribas· 1 shared E. A. W. van Dinther· 1 shared E. Grad· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersImmunology

C. G. Figdor

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Immunofilaments Provide a Nanoscale Platform for In Vivo T Cell Expansion and Cancer Immunotherapy

L. Weiss, J. Weiden, Y. Dölen, E. Grad, E. A. W. van Dinther, M. Schluck, L. J. Eggermont, G. van Mierlo, U. Gileadi, A. Bartolo-Ibars, R. Raave, M. A. J. Gorris, K. Verrijp, M. Valente, B. Deplancke, , R. Hammink

This paper introduces immunofilaments that expand T cells in vivo, showing efficacy against melanoma when combined with immune checkpoint blockade.

bioRxiv · Oct 14, 2022Immunology

ImmuNet: A Segmentation-Free Machine Learning Pipeline for Immune Landscape Phenotyping in Tumors by Muliplex Imaging

S. Sultan, M. A. J. Gorris, E. Martynova, L. L. van der Woude, F. Buytenhuijs, S. van Wilpe, K. Verrijp, C. G. Figdor, I. J. M. de Vries, J. Textor

ImmuNet is a machine learning pipeline that identifies cell positions and phenotypes in multiplex imaging without segmentation, outperforming segmentation-based methods with error rates below 5-10%.

bioRxiv · Oct 22, 2021Immunology