Author

Tom Herold

scalable minds GmbH (Germany)

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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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:mouse· 1 Assay:multiome· 1

Frequent Co-Authors

Christian J. HoffmanniD· 1 shared Christoph HarmsiD· 1 shared Georg K. Wiese· 1 shared Jeehye AniD· 1 shared Leo Wendt· 1 shared Norman RzepkaiD· 1 shared Philipp Boehm‐SturmiD· 1 shared Stefan KochiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperNeuroscience

Christian J. HoffmannORCID

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Author profile →

1 paper

Recent·Most cited

Deep learning-based automated lesion segmentation on mouse stroke magnetic resonance images

Jeehye An, Leo Wendt, Georg K. Wiese, Tom Herold, Norman Rzepka, Susanne G. Mueller, Stefan Koch, Christian J. Hoffmann, Christoph Harms, Philipp Boehm‐Sturm

This paper develops an automated deep learning method for ischemic stroke lesion segmentation in mouse MRI, achieving high agreement with manual segmentation.

Scientific Reports · Aug 16, 2023Peer-reviewedNeuroscience