Author

Kenrick Schulze

Zuse Institute BerlinORCID 0009-0006-7104-9049Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:imaging· 1 Approach:statistical model· 1

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Christof SchütteiD· 1 shared Felix PeppertiD· 1 shared Vikram SunkaraiD· 1 shared

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2024-2024 · peak 1/yr

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1 shared paperBioinformatics

Christof SchütteORCID

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1 paper

Recent·Most cited

BioinformaticsArtificial IntelligencePeer-reviewedOct 31, 2024

Chimeric U-Net - Modifying the standard U-Net towards Explainability

Kenrick Schulze, Felix Peppert, Christof Schütte, Vikram Sunkara

The paper introduces Chimeric U-Net, an invertible decoder U-Net architecture that enhances explainability in semantic segmentation without compromising performance.

6 citations

imagingdeep learning

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