Author

Caterina Fuster-Barceló

Human TechnopoleORCID 0000-0002-4784-6957Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 3 Research Focus:benchmarking· 2 Approach:deep learning· 2 Approach:benchmark study· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1

Frequent Co-Authors

Carlos García-López-de-HaroiD· 3 shared Estibaliz Gómez‐de‐MariscaliD· 3 shared Wei OuyangiD· 3 shared Anna KreshukiD· 2 shared Arrate Muñoz‐BarrutiaiD· 2 shared Damian E. Dalle NogareiD· 2 shared Florian JugiD· 2 shared Joran DeschampsiD· 2 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersBioinformatics

Carlos García-López-de-HaroORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

AI4Life Open Calls and Public Challenges: why, how, and what we have learned.

Vera Galinova, Mehdi Seifi, Beatriz Serrano‐Solano, Kristína Lidayová, Damian E. Dalle Nogare, Agustín Andrés Corbat, Joshua Talks, Edoardo Giacomello, Estibaliz Gómez‐de‐Mariscal, Mariana Ferreira, Caterina Fuster-Barceló, Juan Manuel Battagliotti, Carlos García-López-de-Haro, Benjamin Salmon, Melisande Croft, , J.R. Deschamps

The paper discusses AI4Life's Open Calls and Public Challenges, highlighting the state of bioimage analysis, tool availability, and the need for better data and infrastructure.

bioRxiv · Jul 30, 2026 · PreprintBioinformatics

FeatureForest: the power of foundation models, theusability of random forests

Mehdi Seifi, Damian E. Dalle Nogare, Juan Manuel Battagliotti, Vera Galinova, Ananya Kedige Rao, Pierre‐Henri Jouneau, Anwai Archit, Fynn Beuttenmueller, Dorothea Dörr, Mariana G. Ferreira, Caterina Fuster-Barceló, Carlos García-López-de-Haro, Estibaliz Gómez-de-Mariscal, Matthew Hartley, Ricardo Henriques, , Joran Deschamps

FeatureForest uses foundation model embeddings with random forests to enable fast, accurate segmentation of complex biological images with minimal labeling.

npj Imaging · Jul 8, 2025Peer-reviewedBioinformatics

Bridging the Gap: Integrating Cutting-edge Techniques into Biological Imaging with deepImageJ

Caterina Fuster-Barceló, Carlos García-López-de-Haro, Estibaliz Gómez‐de‐Mariscal, Wei Ouyang, Jean‐Christophe Olivo‐Marín, Daniel Sage, Arrate Muñoz‐Barrutia

This paper introduces enhancements to deepImageJ, a Fiji/ImageJ plugin, by integrating the Java Deep Learning Library (JDLL) to support multiple deep learning frameworks, enabling complex bioimage analysis tasks.

Biological Imaging · Jan 1, 2024Peer-reviewedBioinformatics