Author

Christian J. Hoffmann

Humboldt-Universität zu BerlinORCID 0000-0003-0861-2418Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Organism:mouse· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Assay:multiome· 1 Approach:statistical model· 1

Frequent Co-Authors

Christoph HarmsiD· 2 shared Philipp Boehm‐SturmiD· 2 shared Stefan KochiD· 2 shared Susanne G. MuelleriD· 2 shared Andreas MeiseliD· 1 shared Daniel BerchtoldiD· 1 shared Felix KnabiD· 1 shared Georg K. Wiese· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersNeuroscience

Christoph HarmsORCID

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2 papers

Recent·Most cited

NeuroscienceStrokePeer-reviewedSep 25, 2023

Prediction of Stroke Outcome in Mice Based on Non-Invasive MRI and Behavioral Testing

Felix Knab, Stefan Koch, Sebastian Major…·Christoph Harms

This paper predicts stroke outcomes in mice using MRI and behavioral data, finding that lesion volume and topology are key predictors of subacute and residual deficits.

24 citationstop 4%

mouseimaging

𝕏 PostBluesky

NeuroscienceScientific ReportsPeer-reviewedAug 16, 2023

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

Jeehye An, Leo Wendt, Georg K. Wiese…·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.

14 citations

mousemultiome

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