Author

Salome Kazeminia

Helmholtz MunichORCID 0000-0002-5500-9761Unclaimed 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· 2 Research Focus:cell type annotation· 2 Assay:imaging· 2 Approach:machine learning (classical)· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Carsten MarriD· 2 shared Aleksandra Kornivetc· 1 shared Bastian RieckiD· 1 shared Dominik WaibeliD· 1 shared Fabian SchmichiD· 1 shared Muhammed Furkan DasdeleniD· 1 shared Sayedali Shetab BoushehriiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 13 mutual co-author links

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2 shared papersBioinformatics

Carsten MarrORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

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.

bioRxiv · Jun 14, 2026 · PreprintBioinformatics

PXPermute: Unveiling staining importance in multichannel fluorescence microscopy

Sayedali Shetab Boushehri, Aleksandra Kornivetc, Dominik Waibel, Salome Kazeminia, Fabian Schmich, Carsten Marr

PXPermute identifies important fluorescent channels in IFC data by permuting pixel values and evaluating model performance, showing superior accuracy in channel selection.

bioRxiv · May 28, 2023 · PreprintBioinformatics