Author

Wolfram Schenck

Hochschule BielefeldORCID 0000-0003-3300-2048Unclaimed 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 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Research Focus:fine-mapping· 1 Assay:fluorescence / live-cell microscopy· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Alaa TharwatiD· 1 shared Constanze SchwaniD· 1 shared Eiram Mahera SheikhiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioengineering

Alaa TharwatORCID

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1 paper

Recent·Most cited

BioengineeringIEEE International Symposium on Biomedical Imaging (ISBI)Peer-reviewedApr 8, 2026

CGMD: Centrality-Guided Maximum Diversity for Annotation-Efficient Fine-Tuning of Pretrained Cell Segmentation Models

Eiram Mahera Sheikh, Alaa Tharwat, Constanze Schwan, Wolfram Schenck

CGMD selects a small set of diverse images for fine-tuning pretrained cell segmentation models, achieving performance close to fully supervised methods with minimal annotations.

DOI 10.1109/isbi61048.2026.11515602

imagingfluorescence / live-cell microscopy

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