Author

Leona Charlotte Förster

Forschungszentrum JülichORCID 0000-0002-9211-2039Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:imaging· 1 Assay:multiome· 1

Frequent Co-Authors

Lucas da Costa CamposiD· 1 shared Martin KöcheriD· 1 shared Svenja CaspersiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperNeuroscience

Lucas da Costa CamposORCID

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1 paper

Recent·Most cited

Towards robust and generalizable super-resolution generative adversarial networks for magnetic resonance neuroimaging: a cross-population approach

Leona Charlotte Förster, Lucas da Costa Campos, Martin Köcher, Svenja Caspers

This paper demonstrates that SRGANs can generalize across different populations in MRI without introducing artifacts, showing robustness in real-world applications.

bioRxiv · Jun 13, 2022 · PreprintNeuroscience