Author

Mahsa Barzegar-Keshteli

École Polytechnique Fédérale de Lausanne

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Organism:C. elegans· 2 Research Focus:cell type annotation· 2 Assay:imaging· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:graph neural network· 1 Approach:statistical model· 1

Frequent Co-Authors

Corinne L. JonesiD· 2 shared Sahand Jamal RahiiD· 2 shared Alice Gross· 1 shared Aravinthan D. T. SamueliD· 1 shared Ariane DelrocqiD· 1 shared Core Francisco ParkiD· 1 shared Guillaume ObozinskiiD· 1 shared Kseniia A. KorchaginaiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 26 mutual co-author links

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2 shared papersNeuroscience

Corinne L. JonesORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintNov 30, 2023

A Graph Matching Approach to Tracking Neurons in Freely-Moving C. elegans

Corinne L. Jones, Mahsa Barzegar-Keshteli, Alice Gross…·Sahand Jamal Rahi

This paper introduces a graph matching method to track neurons in freely-moving C. elegans, achieving over 75% accuracy with five labeled frames.

2 citations

C. elegansimaging

𝕏 PostBluesky

NeurosciencebioRxivPreprintMar 15, 2022

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

Core Francisco Park, Mahsa Barzegar-Keshteli, Kseniia A. Korchagina…·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.

5 citations

C. elegansimaging

𝕏 PostBluesky