Posts by Collection
events
Accessibility of DL Models from Java Hackathon
Accessibility of DL Models from Java Hackathon
Cloud Based and AI Hackathon
Cloud Based and AI Hackathon
AI4Life Hackathon and Solvathon
AI4Life Hackathon and Solvathon
CASEIB 2023
CASEIB 2023 — Conference Presentation
deepImageJ and friends Hackathon
deepImageJ and friends Hackathon
Effectively Communicating Bioimage Analysis Workshop
Effectively Communicating Bioimage Analysis Workshop
BioImage Model Zoo Enhancements Hackathon
BioImage Model Zoo Enhancements Hackathon
ImgLib2 and BigDataViewer Hackathon Prague
ImgLib2 and BigDataViewer Hackathon Prague
AI4Life Workshop-Hackathon-Uploathon
AI4Life Workshop-Hackathon-Uploathon (Madrid)
Precarity and Instability in Academia Symposium (PIAS)
Precarity and Instability in Academia Symposium (PIAS)
portfolio
Per què el 5G no us deixarà sense hereus?
Article for the Setmanari Felanitx newspaper about healthcare and 5G (catalan)
Outcomes of the Hackathon on Web and Cloud Infrastructure for AI-Powered BioImage Analysis
Article in FocalPlane about the outcomes of the hackathon in SciLifeLab, KTH, Stockholm
AI4Life Event Highlights: A Successful Fusion of Workshops, Hackathon, and Uploathon
Article in FocalPlane about the outcomes of the workshop and hackathon in UC3M, Madrid
Read Papers Template for Notion
My own Notion template to keep truck of all papers read.
publications
ELEKTRA: ELEKTRokardiomatrix Application to Biometric Identification with Convolutional Neural Networks
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
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
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
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
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*.
Bridging the Gap: Integrating Cutting-edge Techniques into Biological Imaging with deepImageJ
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
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
Harnessing Deep Learning in Bioimaging: The DeepImageJ Journey
Presented at the ECBA Workshop on effectively communicating bioimage analysis.
Citation: Fuster-Barceló, C., Gómez-de-Mariscal, E., Sage, D., Muñoz-Barrutia, A. 'Harnessing Deep Learning in Bioimaging: The DeepImageJ Journey.' ECBA Workshop, 2024.
The Crucial Role of Bioimage Analysts in Scientific Research and Publication
A perspective on the critical contributions and challenges of bioimage analysts in biological research.
Citation: Cimini, B. A., Bankhead, P., d'Antuono, R., et al. (2024). The Crucial Role of Bioimage Analysts in Scientific Research and Publication. *Journal of Cell Science*, 137(20). https://doi.org/10.1242/jcs.262322
Can You Afford to Research? The Financial Strain of Ph.D. Students in Spain
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.
ECG-Based Patient Identification: A Comprehensive Evaluation Across Health and Activity Conditions
A comprehensive evaluation of ECG-based patient identification under health and activity conditions.
Citation: Fuster-Barceló, C., Cámara, C., & Peris-López, P. (2024). ECG-Based Patient Identification: A Comprehensive Evaluation Across Health and Activity Conditions. IEEE Access. https://doi.org/10.1109/ACCESS.2024.3519462
SAMJ: Fast Image Annotation on ImageJ/Fiji via Segment Anything Model
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
Protegiendo el oro con tu corazón
Más información en Women Techmakers Madrid.
Protegiendo el oro con tu corazón y un poco de Python
La charla entera la podéis ver aquí:
Skype A Scientist
Thanks to the Skype A Scientist Program I was connected to Gerda Resinger from the Linzer Technikum Highschool to give last year students a talk.
IDOVEN - Protegiendo el oro con tu corazón
I had the pleasure to visit IDOVEN and give a small talk about my PhD Thesis in the Telefónica Building in Gran vía, where their office is placed.
GitHub Copilot, what is it and how can I get it?
I had the pleasure to show to my collegues from the Department a short presentation about GitHub Copilot and their insights. I hope you enjoy it!
¿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.
Leveraging Cloud-Based Virtual Desktops for Bioimage Analysis with BAND and deepImageJ
I had the pleasure to present our work on leveraging cloud-based virtual desktops for bioimage analysis with BAND and deepImageJ at the I2K 2023 conference.
Harnessing deep learning in bioimaging: the deepImageJ journey
I had the pleasure to attend and present at the Workshop for Effectively Communicating Bioimage Analysis in East Sussex, UK organised by The Company of Biologists and Focal Plane. In this workshop not only I had the most precious time at the Buxted Park but also I had the opportunity to present the deepImageJ project and learn from the best in the field.
The BioImage.IO Chatbot
I had the pleasure to present our precious BioImage.IO Chatbot at the Virtual Pub of Euro-Bioimaging as part of the AI4Life Project.
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.
Transformers, Vision Transformers and SAMJ
During the AI4Life Workshop of Zero-Code Tools and BioImage Model Zoo Community Partners I had the pleasure to give a presentation about Transformers, Vision Transformers and our new development for a Fiji Plugin:SAMJ. Great thanks to Daniel Sage and Carlos J. García López de Haro whom I had the pleasure to present with.
BioImage.IO Chatbot
During the AI4Life Workshop of Zero-Code Tools and BioImage Model Zoo Community Partners I had the pleasure to give a presentation about the BioImage.IO Chatbot together with Wanlu Lei, Benedict Diederich, Songtao Cheng, and Wei Ouyang.
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.
Prompt Engineering: How to Generate Good and Functional Code with the BioImage.IO Chatbot
In October 2024, I gave a talk titled “Prompt Engineering: How to Generate Good and Functional Code with the BioImage.IO Chatbot” at the YMIA Python Event, an initiative to support early-career imaging scientists.
Introduction to AI4Life and BioImage Model Zoo
Introduction to AI4Life and BioImage Model Zoo
Can You Afford to Research? The Financial Strain of Ph.D. Students in Spain
Can You Afford to Research? The Financial Strain of Ph.D. Students in Spain
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.
Deep Learning for Bioimage Analysis
In May 2025, I participated in the EPFL Open Microscopy & AI Workshop, where I gave a presentation and led a hands-on workshop on Deep Learning for Bioimage Analysis, aligned with the AI4Life initiative.
AI-Based Pipelines for Bioimage Analysis
In May 2025, I delivered a session titled “AI-Based Pipelines for Bioimage Analysis” at the NEUBIAS Bioimage Analysis Course hosted at Institut Pasteur, Paris. This course is part of the prestigious NEUBIAS training series, focused on advancing bioimage analysis across Europe.