Author

Muhammed Furkan Dasdelen

Helmholtz MunichORCID 0000-0003-2251-2093Unclaimed 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:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Bastian RieckiD· 1 shared Carsten MarriD· 1 shared Salome KazeminiaiD· 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 paperBioinformatics

Bastian RieckORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJun 14, 2026

TopoMIL: Topology Improves Multiple Instance Learning in Diagnostic Microscopic Images

Salome Kazeminia, Muhammed Furkan Dasdelen, Bastian Rieck, Carsten Marr

TopoMIL improves multiple instance learning for diagnostic microscopic images by integrating topological structures, achieving classification gains across various pooling methods.

DOI 10.64898/2026.06.10.731443

imagingmachine learning (classical)

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