Author

Martin Köcher

Forschungszentrum JülichORCID 0000-0002-5674-9227Unclaimed 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

Leona Charlotte FörsteriD· 1 shared Lucas da Costa CamposiD· 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

Leona Charlotte FörsterORCID

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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