Author

Juan Antonio Ballesteros‐Cánovas

Consejo Superior de Investigaciones CientíficasORCID 0000-0003-4439-397XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Ecology· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Alberto Muñoz-Torrero ManchadoiD· 1 shared Jorge Abraham Rios SuareziD· 1 shared Jorge Pérez‐MartíniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperEcology

Alberto Muñoz-Torrero ManchadoORCID

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1 paper

Recent·Most cited

EcologyPLoS ONEPeer-reviewedJun 18, 2026

Tree ring segmentation performance in highly disturbed trees using deep learning

Jorge Abraham Rios Suarez, Jorge Pérez‐Martín, Alberto Muñoz-Torrero Manchado, Juan Antonio Ballesteros‐Cánovas

This study tests deep learning's ability to segment tree rings in highly disturbed trees, finding lower performance in abnormal growth patterns but success in narrow, uniform rings.

DOI 10.1371/journal.pone.0321841

imagingdeep learning

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