Author

Erick Gonzalez-Vega

University of Miami

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· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:imaging· 1 Organism:mouse· 1

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Daniel J. LiebliD· 1 shared Ethan Kim TieuiD· 1 shared Maureen C. Ascona· 1 shared Roberta BrambillaiD· 1 shared

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2024-2024 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperNeuroscience

Daniel J. LieblORCID

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1 paper

Recent·Most cited

NeuroscienceExperimental NeurologyPeer-reviewedSep 5, 2024

A deep learning-based approach for unbiased kinematic analysis in CNS injury

Maureen C. Ascona, Ethan Kim Tieu, Erick Gonzalez-Vega…·Roberta Brambilla

This paper introduces two marker-less kinematic analysis systems for assessing mouse locomotor function after spinal cord injury, validated against traditional methods and showing high sensitivity and accuracy.

12 citations

mouseimaging

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