Author

Aron Kirchhoff

University of Bonn

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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Genetic & Genomic Medicine· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:differential expression· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Alexander HustinxiD· 2 shared Behnam JavanmardiiD· 2 shared Benjamin D. SolomoniD· 2 shared Peter Michael KrawitziD· 2 shared Shahida MoosaiD· 2 shared Tzung‐Chien HsiehiD· 2 shared Adele RuderiD· 1 shared Alberto De RosaiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Alexander HustinxORCID

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2 papers

Recent·Most cited

Bone2Gene: Next-generation Phenotyping of Rare Bone Diseases

Eike Bolmer, Philipp Schmidt, Isabel Fischer, Sebastian Rassmann, Adele Ruder, Alexander Hustinx, Aron Kirchhoff, Christoph Beger, Kyra Skaf, Minu Fardipour, Tzung‐Chien Hsieh, Alexandra Keller, Alberto De Rosa, Silvia Kalantari, Fabio Sirchia, , Behnam Javanmardi

Bone2Gene uses deep learning to classify rare bone diseases from hand radiographs, achieving high accuracy for distinct disorders but lower for overlapping ones.

medRxiv · Mar 27, 2026 · PreprintGenetic & Genomic Medicine

GestaltGAN: Synthetic photorealistic portraits of individuals with rare genetic disorders

Aron Kirchhoff, Alexander Hustinx, Behnam Javanmardi, Tzung‐Chien Hsieh, Fabian Brand, Fabio Hellmann, Silvan Mertes, Elisabeth André, Shahida Moosa, Thomas Schultz, Benjamin D. Solomon, Peter Michael Krawitz

This paper introduces GestaltGAN, a generative model that creates photorealistic portraits of individuals with rare genetic disorders while preserving privacy.

European Journal of Human Genetics · Jan 15, 2025Peer-reviewedGenetic & Genomic Medicine