Author

Dennis Eschweiler

RWTH Aachen UniversityORCID 0000-0003-1041-2810Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Developmental Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:imaging· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Johannes StegmaieriD· 2 shared Abin JoseiD· 1 shared Adam RunionsiD· 1 shared Anne‐Lise Routier‐KierzkowskaiD· 1 shared Athul VijayaniD· 1 shared Brendan LaneiD· 1 shared Constance Le GloaneciD· 1 shared Daniel KierzkowskiiD· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Johannes StegmaierORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 1, 2022

END-TO-END CLASSIFICATION OF CELL-CYCLE STAGES WITH CENTER-CELL FOCUS TRACKER USING RECURRENT NEURAL NETWORKS

Abin Jose, Rijo Roy, Dennis Eschweiler…·Johannes Stegmaier

This paper proposes an RNN-based method for automatic cell-cycle stage classification using time-lapse microscopy images, achieving superior performance over a classifier baseline.

2 citations

imagingdeep learning

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Developmental BiologyeLifePeer-reviewedMay 5, 2022

MorphoGraphX 2.0: Providing context for biological image analysis with positional information

Soeren Strauss, Adam Runions, Brendan Lane…·Richard S. Smith

The paper introduces MorphoGraphX 2.0, a software tool that annotates developing organs with local coordinate systems to analyze gene expression and growth in spatial context.

124 citationstop 1%

imagingexperimental assay

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