Author

Sheyla Barrado Ballestero

University of Copenhagen

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

Biology Disciplines

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Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

Casper Graversen SalinasiD· 1 shared Ditte Marie JenseniD· 1 shared Geoffrey TeixeiraiD· 1 shared Heidi Lindgreen Holmberg· 1 shared Louise ThistediD· 1 shared Marie Biviano RosenkildeiD· 1 shared Max HahniD· 1 shared Michael Søberg ChristenseniD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperPathology

Casper Graversen SalinasORCID

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1 paper

Recent·Most cited

Deep Learning-Enhanced 3D Imaging Unveils Semaglutide Impact on Cardiac Fibrosis

Sheyla Barrado Ballestero, Sarah Torp Yttergren, Max Hahn, Marie Biviano Rosenkilde, Ditte Marie Jensen, Michael Søberg Christensen, Louise Thisted, Heidi Lindgreen Holmberg, Geoffrey Teixeira, Tor Biering‐Sørensen, Casper Graversen Salinas, Urmas Roostalu

This paper develops a 3D imaging and deep learning method to quantify cardiac fibrosis in mice and shows semaglutide reduces hypertrophy and perivascular fibrosis but not replacement fibrosis.

British Journal of Pharmacology · Oct 21, 2025Peer-reviewedPathology