Author

Katharina Löffler

Karlsruhe Institute of TechnologyORCID 0000-0001-9769-3517Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:graph neural network· 1 Assay:imaging· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Ralf MikutiD· 2 shared Tim ScherriD· 2 shared Oliver NeumanniD· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersBioinformatics

Ralf MikutORCID

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2 papers

Recent·Most cited

BioinformaticsPLoS ONEPeer-reviewedSep 7, 2021

A graph-based cell tracking algorithm with few manually tunable parameters and automated segmentation error correction

Katharina Löffler, Tim Scherr, Ralf Mikut

This paper introduces a graph-based cell tracking algorithm with few parameters and automatic segmentation error correction, showing strong performance on degraded segmentation data.

37 citations

spatial transcriptomicsgraph neural network

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BioinformaticsbioRxivPreprintJun 26, 2021

On Improving an Already Competitive Segmentation Algorithm for the Cell Tracking Challenge - Lessons Learned

Tim Scherr, Katharina Löffler, Oliver Neumann, Ralf Mikut

The paper improves a competitive cell tracking algorithm by optimizing training parameters and data augmentation, achieving better performance in the Cell Tracking Challenge 2021.

12 citations

imagingdeep learning

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