Author

D. Truhn

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

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1

Frequent Co-Authors

A. Echle· 1 shared C. M. L. Loeffler· 1 shared C. Trautwein· 1 shared D. Cifci· 1 shared H. S. Muti· 1 shared J. N. Kather· 1 shared K. J. Hewitt· 1 shared M. van Treeck· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

A. Echle

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1 paper

Recent·Most cited

DeepMed: A unified, modular pipeline for end-to-end deep learning in computational pathology

M. van Treeck, D. Cifci, N. Ghaffari Laleh, O. L. Saldanha, C. M. L. Loeffler, K. J. Hewitt, H. S. Muti, A. Echle, T. Seibel, T. P. Seraphin, C. Trautwein, S. Foersch, T. Luedde, D. Truhn, J. N. Kather

DeepMed provides a modular, scalable AI pipeline for predicting molecular and histopathological features from histopathology images, with public benchmark data.

bioRxiv · Dec 19, 2021 · PreprintCancer Biology