Author

Kseniia A. Korchagina

École Polytechnique Fédérale de LausanneORCID 0000-0002-2580-8992Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:C. elegans· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Aravinthan D. T. SamueliD· 1 shared Ariane DelrocqiD· 1 shared Core Francisco ParkiD· 1 shared Corinne L. JonesiD· 1 shared Mahsa Barzegar-Keshteli· 1 shared Sahand Jamal RahiiD· 1 shared Vladislav SusoyiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

Aravinthan D. T. SamuelORCID

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1 paper

Recent·Most cited

Automated neuron tracking inside moving and deforming animals using deep learning and targeted augmentation

Core Francisco Park, Mahsa Barzegar-Keshteli, Kseniia A. Korchagina, Ariane Delrocq, Vladislav Susoy, Corinne L. Jones, Aravinthan D. T. Samuel, Sahand Jamal Rahi

The paper develops a deep learning method with targeted augmentation to track neurons in moving C. elegans, reducing manual annotation needs and enabling analysis of neuronal behavior.

bioRxiv · Mar 15, 2022 · PreprintNeuroscience