Author

Hossein Shirali

Karlsruhe Institute of TechnologyORCID 0009-0005-6884-4263Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Bioengineering· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Assay:imaging· 3 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Christian PylatiukiD· 3 shared Lorenz WührliD· 3 shared Nathalie KlugiD· 3 shared Rudolf MeieriD· 3 shared Aleida Ascenzi· 1 shared Emanuele VaccarellaiD· 1 shared Emily HartopiD· 1 shared Jiahui Wang· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersBioinformatics

Christian PylatiukORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

BioinformaticsEcological InformaticsPeer-reviewedMay 25, 2026

InsectMorphoAI: A Deep Learning-Based Software for Automated Estimation of Insect Length, Volume, and Biomass

Hossein Shirali, Aleida Ascenzi, Lorenz Wührl…·Christian Pylatiuk

InsectMorphoAI automates insect length, volume, and biomass estimation from 2D images using two methods, achieving high accuracy and enabling efficient ecological research.

4 citationstop 1%

imagingdeep learning

𝕏 PostBluesky

BioengineeringbioRxivPreprintJan 26, 2026

Entomoscope 2.0 and ENIMAS 2.0: An Open-Source, AI-Integrated Platform for Rapid and Affordable Insect Digitization

Hossein Shirali, Nick Eric Boese, Markus Kramer…·Lorenz Wührl

Entomoscope 2.0 and ENIMAS 2.0 provide an open-source, AI-integrated platform for rapid, affordable insect digitization, achieving faster processing than commercial systems.

DOI 10.64898/2026.01.23.701290

imagingdeep learning

𝕏 PostBluesky

BioinformaticsSystematic EntomologyPeer-reviewedJan 1, 2026

Automated Specimen Triage for Dark Taxa: Deep Learning Enables Orientation, Sex Identification, and Anatomical Segmentation from Robotic Imaging

Hossein Shirali, Lorenz Wührl, Leshon Lee…·Emily Hartop

This paper uses deep learning to automate specimen triage by identifying sex, orientation, and anatomical regions from robotic imaging of Phoridae specimens.

1 citation

imagingdeep learning

𝕏 PostBluesky