Author

Pablo Delgado-Rodriguez

Universidad Carlos III de MadridORCID 0000-0002-5991-7791Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Bioengineering· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Assay:imaging· 3 Approach:deep learning· 2 Organism:mouse· 2 Approach:microscopy & imaging analysis· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Arrate Muñoz‐BarrutiaiD· 3 shared Rafael AldabeiD· 2 shared Elouan Rouméas-Noël· 1 shared François ParisiD· 1 shared Gonzalo Ricardo Ríos-MuñoziD· 1 shared Itsaso VitoriaiD· 1 shared Jon Sporring AiD· 1 shared Julien ColombelliiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersBioinformatics

Arrate Muñoz‐BarrutiaORCID

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3 papers

Recent·Most cited

BioengineeringScientific ReportsPeer-reviewedNov 19, 2025

In-depth 3D Exploration of Autosomal Dominant Polycystic Kidney Disease Through Light Sheet Fluorescence Microscopy

Pablo Delgado-Rodriguez, Itsaso Vitoria, Gonzalo Ricardo Ríos-Muñoz…·Arrate Muñoz‐Barrutia

This study uses Light Sheet Fluorescence Microscopy to analyze 3D kidney morphology in ADPKD mouse models, identifying biomarkers of tissue deformation.

DOI 10.1038/s41598-025-24473-y

mouseimaging

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BioinformaticsbioRxivPreprintSep 2, 2024

SAM-based Automatic Workflow for Histology Cyst Segmentation in Autosomal Dominant Polycystic Kidney Disease

Pablo Delgado-Rodriguez, Roman Kinakh, Rafael Aldabe, Arrate Muñoz‐Barrutia

This paper introduces an automated workflow using the SAM model to segment cysts in histological images of ADPKD, showing increased diseased tissue proportion over time and outperforming existing tools.

1 citation

mouseimaging

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BioinformaticsbioRxivPreprintApr 27, 2023

Automatic Classification of Normal and Abnormal Cell Division Using Deep Learning Analysis of Mitosis Videos

Pablo Delgado-Rodriguez, Rodrigo Morales-Sánchez, Elouan Rouméas-Noël…·Arrate Muñoz‐Barrutia

This paper develops a deep learning classifier to distinguish normal from abnormal cell division in mitosis videos, achieving high accuracy in classification.

1 citation

imagingdeep learning

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