Author

J. M. Niehues

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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Cancer Biology· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Research Focus:variant calling· 1

Frequent Co-Authors

J. N. Kather· 2 shared A. T. Pearson· 1 shared C. M. L. Loeffler· 1 shared D. Cifci· 1 shared D. H. W. Liu· 1 shared D. P. Modest· 1 shared G. J. Wiltberger· 1 shared G. P. Veldhuizen· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersCancer Biology

J. N. Kather

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintSep 15, 2022

Self-supervised deep learning for pan-cancer mutation prediction from histopathology

O. L. Saldanha, C. M. L. Loeffler, J. M. Niehues…·J. N. Kather

This paper develops a self-supervised deep learning pipeline to predict genetic mutations from histopathology images across seven cancer types in two large datasets.

DOI 10.1101/2022.09.15.507455

humanimaging

𝕏 PostBluesky

Cancer BiologybioRxivPreprintAug 7, 2020

Nerve fibers in the Tumor Microenvironment are co-localized with Tertiary Lymphoid Structures

L. R. Heij, X. Tan, J. N. Kather…·U. P. Neumann

The paper analyzes nerve fiber density and tertiary lymphoid structures in pancreatic cancer, finding that high nerve fiber density and TLS count correlate with improved survival.

DOI 10.1101/2020.08.07.232322

humanimaging

𝕏 PostBluesky