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events

PyConES 2022

PyConES 2022 — Conference Talk and Participation

CASEIB 2023

CASEIB 2023 — Conference Presentation

portfolio

publications

ELEKTRA: ELEKTRokardiomatrix Application to Biometric Identification with Convolutional Neural Networks

Neurocomputing, 2022

Biometric identification using ELEKTRokardiomatrix with Convolutional Neural Networks. Achieved 99.53% accuracy with minimal error rates using simple CNN architectures.

Citation: Fuster-Barceló, C., Peris-Lopez, P., & Camara, C. (2022). ELEKTRA: ELEKTRokardiomatrix application to biometric identification with convolutional neural networks. *Neurocomputing, 506*, 37–49. https://doi.org/10.1016/j.neucom.2022.07.059

Featured in: https://www.20minutos.es/salud/actualidad/5084580/

Exploring the Power of PPG Matrix for Atrial Fibrillation Detection with Integrated Explainability

Engineering Applications of Artificial Intelligence, 2023

PPG-based matrix representation and explainable deep learning for accurate and interpretable AF detection.

Citation: Fuster-Barceló, C., Guerrero-López, A., Camara, C., & Peris-Lopez, P. (2024). Exploring the power of photoplethysmogram matrix for atrial fibrillation detection with integrated explainability. *Engineering Applications of Artificial Intelligence*, 133, 108325.

Unveiling Hidden Patterns: Harnessing the Power of Short PPG-Traces for Atrial Fibrillation Detection

IEEE 19th International Conference on Body Sensor Networks (BSN), 2023

Using short PPG traces and musical features to detect atrial fibrillation with high accuracy.

Citation: Peris-Lopez, P., Fuster-Barceló, C., Camara, C., & Martin, H. (2023). *Unveiling Hidden Patterns: Harnessing the Power of Short PPG-Traces for Atrial Fibrillation Detection*. IEEE BSN 2023. https://ieeexplore.ieee.org/abstract/document/10331002

DL4MicEverywhere: Deep learning for microscopy made flexible, shareable, and reproducible

Nature Methods, 2023

Making deep learning in microscopy truly portable and reproducible across environments.

Citation: Hidalgo-Cenalmor, I., Pylvänäinen, J.W., Ferreira, M.G., Russell, C.T., Arganda-Carreras, I., AI4Life Consortium, Jacquemet, G., Henriques, R., & Gómez-de-Mariscal, E. (2024). DL4MicEverywhere: Deep learning for microscopy made flexible, shareable, and reproducible. *Nature Methods*, 21, 925–927. https://doi.org/10.1038/s41592-024-02295-6

Featured in: https://www.biorxiv.org/content/10.1101/2023.11.19.567606v1

Estimación de la proporción de hidrops endolinfático en pacientes con la enfermedad de Mènière

CASEIB 2023, 2023

Presentación en póster sobre el uso de técnicas de Deep Learning para estimar la proporción de hidrops endolinfático en pacientes con la enfermedad de Mènière.

Citation: Delicado-Correa, G.R., Fuster-Barceló, C., Suárez-Vega, V.M., Pérez-Fernández, N., Bastarrika, G., & Muñoz-Barrutia, A. (2023). Estimación de la proporción de hidrops endolinfático en pacientes con la enfermedad de Mènière. *CASEIB 2023*.

Featured in:

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

bioRxiv, 2023

Empowering researchers with deepImageJ: bridging deep learning and accessible biological image analysis.

Citation: Fuster-Barceló, C., García López de Haro, C., Gómez-de-Mariscal, E., Ouyang, W., Olivo-Marin, J.C., Sage, D., & Muñoz-Barrutia, A. (2024). Bridging the Gap: Integrating Cutting-edge Techniques into Biological Imaging with deepImageJ. *bioRxiv*. https://doi.org/10.1101/2024.01.12.575015

Featured in: https://www.biorxiv.org/content/10.1101/2024.01.12.575015v1

BioImage.IO Chatbot: A Personalized Assistant for BioImage Analysis Augmented by Community Knowledge Base

Nature Methods, 2023

AI-powered assistant transforming the way researchers interact with bioimage analysis tools.

Citation: Lei, W., Fuster-Barceló, C., Reder, G. et al. (2024). BioImage.IO Chatbot: a community-driven AI assistant for integrative computational bioimaging. *Nature Methods*, 21, 1368–1370. https://doi.org/10.1038/s41592-024-02370-y

Featured in: https://www.nature.com/articles/s41592-024-02370-y

Can You Afford to Research? The Financial Strain of Ph.D. Students in Spain

Precarity and Instability in Academia Symposium (PIAS), 2024

An analysis of the financial challenges facing Ph.D. students in Spain, focusing on scholarships and living costs.

Citation: C. Fuster-Barceló and A. Guerrero-López, 'Can You Afford to Research? The Financial Strain of Ph.D. Students in Spain,' Proceedings of the Precarity and Instability in Academia Symposium (PIAS), 2024.

SAMJ: Fast Image Annotation on ImageJ/Fiji via Segment Anything Model

, 2025

A user-friendly plugin that brings Segment Anything to the Fiji ecosystem for fast, interactive image annotation.

Citation: Carlos García-López-de-Haro, Caterina Fuster-Barceló, Curtis T. Rueden, Jónathan Heras, Vladimír Ulman, Daniel Franco-Barranco, Adrián Inés, Kevin W. Eliceiri, Jean-Christophe Olivo-Marin, Jean-Yves Tinevez, Daniel Sage, Arrate Muñoz-Barrutia. "SAMJ: Fast Image Annotation on ImageJ/Fiji via Segment Anything Model." arXiv preprint arXiv:2506.02783 (2025).

talks

¿Quién me lo habría dicho?

He tenido el placer de dar una pequeña charla en la semifinal de Unidreams sobre mi trayectoria profesional. La he tituloado ¿Quién me lo habría dicho? porque si alguien me llega a preguntar cuando tenía 18 años qué quería ser de mayor, no hubiera dicho ni de lejos que iba a ser ingeniera y menos aún que iba a tener un doctorado en Ciencia y Tecnología Informática.

Meet the BioImage.IO Chatbot

Since January 2024, Elixir has been hosting virtual talks on generative AI. I was fortunate to secure a presentation slot to showcase the BioImage.IO Chatbot and its latest features. This includes the integration of bio.tools from Elixir into our chatbot’s knowledge base.

BioImage.IO Chatbot Talk

On June 2024 I had the pleasure to present the BioImage.IO Chatbot at the ZIDAS Summer School in ETH Zurich, Switzerland. The ZIDAS Summer School is a unique event that brings together leading experts in the field of bioimage analysis, providing a platform for knowledge exchange and collaboration.

ECG and PPG Applications in Healthcare

In February 2025, I was invited to speak at the Biosignals course at Universidad Pontificia Comillas, where I presented a talk titled “ECG and PPG Applications in Healthcare”.

Lecture & Practical Session on Advanced CNNs

In April 2025, together with my master students Claudia Castrillón-Álvarez and Laura Rodrigo-Muñoz, I delivered a session titled “Lecture & Practical Session on Advanced CNNs” at the Ágora Journal Club organized by the Signal Theory and Communications Department at Universidad Carlos III de Madrid.

teaching

Biomedical Image Processing

Master course, Universidad Carlos III de Madrid, Master in Machine Learning for Health, 2023

Biomedical Image Processing

AI for Radiology and Microscopy

Master course, Universidad Carlos III de Madrid, Master in Machine Learning for Health, 2024

Artificial Intelligence in Radiology and Microscopy