Author

Jan-Robert Avemarg

Friedrich Schiller University Jena

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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Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Alexander QuaasiD· 1 shared Axel Karl WalchiD· 1 shared Christiane J. BrunsiD· 1 shared Daniel Pinto dos SantosiD· 1 shared Felix PoppiD· 1 shared Florian GebaueriD· 1 shared Heike LöseriD· 1 shared Jin‐On JungiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Alexander QuaasORCID

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1 paper

Recent·Most cited

Predicting the HER2 status in esophageal cancer from tissue microarrays using convolutional neural networks

Juan I. Pisula, Rabi Raj Datta, Leandra Börner Valdez, Jan-Robert Avemarg, Jin‐On Jung, Patrick Sven Plum, Heike Löser, Philipp Lohneis, Monique Meuschke, Daniel Pinto dos Santos, Florian Gebauer, Alexander Quaas, Christiane J. Bruns, Axel Karl Walch, Kai Lawonn, , Katarzyna Bożek

This paper develops a CNN-based method to predict HER2 status in esophageal cancer tissue microarrays with high accuracy, outperforming manual assessment and reducing the need for costly follow-up tests.

bioRxiv · May 13, 2022 · PreprintBioinformatics