Author

Rijo Roy

RWTH Aachen UniversityORCID 0000-0002-7669-3179Unclaimed 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· 3 Research Focus:clustering· 3 Approach:deep learning· 3 Research Focus:differential expression· 3 Approach:machine learning (classical)· 3 Research Focus:trajectory inference· 3 Assay:imaging· 2 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Abin JoseiD· 3 shared Johannes StegmaieriD· 3 shared Daniel Moreno-AndrésiD· 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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3 shared papersBioinformatics

Abin JoseORCID

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3 papers

Recent·Most cited

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.

PLoS ONE · Mar 11, 2024Peer-reviewedBioinformatics

Weakly-supervised temporal segmentation of cell-cycle stages with center-cell focus using Recurrent Neural Networks

Abin Jose, Rijo Roy, Johannes Stegmaier

This paper develops a weakly-supervised method using recurrent neural networks to classify cell-cycle stages in mitosis videos without annotated data, achieving performance comparable to supervised approaches.

Informatik aktuell · Jan 1, 2023Peer-reviewedBioinformatics

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

Abin Jose, Rijo Roy, Dennis Eschweiler, Ina Laube, Reza Azad, Daniel Moreno-Andrés, 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.

bioRxiv · Nov 1, 2022 · PreprintBioinformatics