Author

Christian Lins

Heinrich Heine University DüsseldorfORCID 0000-0003-3714-0069Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Assay:imaging· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Felix Gregor SaueriD· 1 shared Jan BaumbachiD· 1 shared Jens LohmanniD· 1 shared Kristopher NolteiD· 1 shared Philip KollmannsbergeriD· 1 shared Renke LühkeniD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Felix Gregor SauerORCID

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1 paper

Recent·Most cited

BioinformaticsPLoS Computational BiologyPeer-reviewedSep 5, 2025

Potentials and limitations in the application of Convolutional Neural Networks for mosquito species identification using wing images

Kristopher Nolte, Jan Baumbach, Christian Lins…·Renke Lühken

This study develops a CNN-based system for mosquito species identification using wing images, achieving high accuracy and demonstrating practical usability in real-world conditions.

6 citations

imagingdeep learning

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