Author

Pablo Ruiz-Amezcua

Servicio de Salud de Castilla La ManchaORCID 0000-0001-9959-5275Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Organism:mouse· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:statistical model· 1

Frequent Co-Authors

David ReigadaiD· 2 shared Manuel Nieto‐DíaziD· 2 shared Rodrigo M. MazaiD· 2 shared Teresa Muñoz‐GaldeanoiD· 2 shared Altea SotoiD· 1 shared Daniel Franco-BarrancoiD· 1 shared Francisco José EstebaniD· 1 shared Irene NovilloiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersBioinformatics

David ReigadaORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintDec 19, 2025

SpineDL: a Deep Learning-based approach for neuron andanatomical structure segmentation in immunofluorescenceimages of damaged spinal cords

Pablo Ruiz-Amezcua, Daniel Franco-Barranco, David Reigada…·Manuel Nieto‐Díaz

SpineDL is a deep learning tool for segmenting neurons and anatomical structures in spinal cord immunofluorescence images, achieving expert-level performance.

DOI 10.64898/2025.12.17.694828

mouseimaging

𝕏 PostBluesky

Molecular BiologybioRxivPreprintJan 22, 2024

Reanalysis of published data can help to characterize neuronal death after Spinal Cord Injury

Pablo Ruiz-Amezcua, Nadia Ibáñez Barranco, David Reigada…·Manuel Nieto‐Díaz

The paper reanalyzes published spinal cord injury data to characterize neuronal death and evaluate neuroprotective effects using new methods and an open repository.

DOI 10.1101/2024.01.22.576608

mouseimaging

𝕏 PostBluesky