Author

Adrian Boehm

University of Freiburg

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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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:Drosophila· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Alexis HofherriD· 1 shared Anne-Kathrin ClasseniD· 1 shared Berenike Fajen· 1 shared Clara Consoli· 1 shared Friederike Selbach· 1 shared Greta Theresa Liedtke· 1 shared Johannes JahniD· 1 shared Lukas WestermanniD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Alexis HofherrORCID

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1 paper

Recent·Most cited

Deep learning-based image quantification of epithelial cell shapes and its application to polycystic kidney disease

Johannes Jahn, Alexis Hofherr, Clara Consoli, Berenike Fajen, Rebekka Goll, Greta Theresa Liedtke, Adrian Boehm, Friederike Selbach, Paul Christoph Zeisler, Vanessa Weichselberger, Anne-Kathrin Classen, Lukas Westermann, Tilman Busch, Michael Köttgen

This paper develops a deep learning pipeline to quantify epithelial cell shape and tight junctions, applied to ADPKD models and Drosophila egg chambers to study morphogenetic changes.

bioRxiv · Aug 13, 2025 · PreprintBioinformatics