Author

Daniel Moreno-Andrés

RWTH Aachen UniversityORCID 0000-0003-2160-448XUnclaimed 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:cell type annotation· 2 Research Focus:clustering· 2 Approach:deep learning· 2 Research Focus:differential expression· 2 Assay:imaging· 2 Approach:machine learning (classical)· 2 Research Focus:trajectory inference· 2

Frequent Co-Authors

Abin JoseiD· 2 shared Johannes StegmaieriD· 2 shared Rijo RoyiD· 2 shared Dennis EschweileriD· 1 shared Ina Laube· 1 shared Reza AzadiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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2 shared papersBioinformatics

Abin JoseORCID

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2 papers

Recent·Most cited

BioinformaticsPLoS ONEPeer-reviewedMar 11, 2024

Automatic Detection of Cell-cycle Stages using Recurrent Neural Networks

Abin Jose, Rijo Roy, Daniel Moreno-Andrés, Johannes Stegmaier

This paper proposes an RNN-based method to automatically detect mitosis stages from cell division videos, showing improved performance over traditional classifiers.

8 citations

imagingdeep learning

𝕏 PostBluesky

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

𝕏 PostBluesky