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Global BioImaging and AI4Life organized a hackathon in Milan from February 6-10, 2023. The overarching goal of this event was to improve the accessibility of Deep Learning methods in Java-based image analysis tools and libraries. The event was held at the Human Technopole and was attended by a total of 21 participants from various parts of the world.
Article for the Setmanari Felanitx newspaper about healthcare and 5G (catalan)
Article in FocalPlane about the outcomes of the hackathon in SciLifeLab, KTH, Stockholm
Article in FocalPlane about the outcomes of the workshop and hackathon in UC3M, Madrid
My own Notion template to keep truck of all papers read.
Published in Published at Neurocomputing, 2021
Biometric identification using ELEKTRokardiomatrix by Convolutional Neural Networks
Recommended citation: Fuster-Barceló, Caterina, Pedro Peris-Lopez, and Carmen Camara. "ELEKTRA: ELEKTRokardiomatrix application to biometric identification with convolutional neural networks." Neurocomputing 506 (2022): 37-49. https://doi.org/10.1016/j.neucom.2022.07.059
Featured in: https://www.20minutos.es/salud/actualidad/5084580/
Published in preprint, 2023
Unleashing the Power of Electrocardiograms: A novel approach for Patient Identification in Healthcare Systems with ECG Signals
Recommended citation: Caterina Fuster-Barceló, Carmen Camara, and Pedro Peris-Lopez. "Unleashing the Power of Electrocardiograms: A novel approach for Patient Identification in Healthcare Systems with ECG Signals" Arxiv 2023 https://doi.org/10.48550/arXiv.2302.06529
Published in Engineering Applications of Artificial Intelligence, 2023
Exploring the power of photoplethysmogram matrix for atrial fibrillation detection with integrated explainability
Recommended 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. https://doi.org/10.1016/j.engappai.2024.108325
Published in preprint, 2023
Detecting Atrial Fibrillation over PPG Matrix Images with Explainable AI
Recommended citation: Caterina Fuster-Barceló, Estibaliz Gómez-de-Mariscal, Daniel Sage, Arrate Muñoz-Barrutia, "Harnessing Deep Learning in Bioimaging: The DeepImageJ Journey" ECBA Workshop, 2024 https://dx.doi.org/10.2139/ssrn.4514512
Published in 2023 IEEE 19th International Conference on Body Sensor Networks (BSN), 2023
Unveiling Hidden Patterns: Harnessing the Power of Short PPG-Traces for Atrial Fibrillation Detection
Recommended citation: Pedro Peris-Lopez, Caterina Fuster-Barceló, Carmen Camara, and Honorio Martin. "Unveiling Hidden Patterns: Harnessing the Power of Short PPG-Traces for Atrial Fibrillation Detection" https://ieeexplore.ieee.org/abstract/document/10331002
Published in , 2023
DL4MicEverywhere: Deep learning for microscopy made flexible, shareable, and reproducible
Recommended citation: DL4MicEverywhere: Deep learning for microscopy made flexible, shareable, and reproducible Iván Hidalgo-Cenalmor, Joanna W Pylvänäinen, Mariana G Ferreira, Craig T Russell, Ignacio Arganda-Carreras, AI4Life Consortium, Guillaume Jacquemet, Ricardo Henriques, Estibaliz Gómez-de-Mariscal bioRxiv 2023.11.19.567606; doi: https://doi.org/10.1101/2023.11.19.567606 https://www.biorxiv.org/content/10.1101/2023.11.19.567606v1.abstract
Published in CASEIB, 2023
Estudio sobre la proporción de hidrops endolinfático en pacientes con la enfermedad de Mèniére con técnicas de Deep Learning.
Recommended citation: G.R. Delicado-Correa, C. Fuster-Barceló, V.M. Suárez-Vega, N. Pérez-Fernández, G. Bastarrika, A. Muñoz-Barrutia "Estimación de la proporción de hidrops endolinfático en pacientes con la enfermedad de Mèniére" CASEIB (2023).
Published in , 2023
Bridging the Gap: Integrating Cutting-edge Techniques into Biological Imaging with deepImageJ
Recommended citation: 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-Marin, Daniel Sage, Arrate Muñoz-Barrutia bioRxiv 2024.01.12.575015; doi: https://doi.org/10.1101/2024.01.12.575015 https://www.biorxiv.org/content/10.1101/2024.01.12.575015v1.abstract
Published in Nature Methods, 2023
BioImage.IO Chatbot: Transforming Bioimage Analysis
Recommended citation: Lei, W., Fuster-Barceló, C., Reder, G. et al. BioImage.IO Chatbot: a community-driven AI assistant for integrative computational bioimaging. Nat Methods 21, 1368–1370 (2024). https://doi.org/10.1038/s41592-024-02370-y https://rdcu.be/dQuw7
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Más información en Women Techmakers Madrid.
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La charla entera la podéis ver aquí:
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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.
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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.
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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!
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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.
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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.
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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.
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I had the pleasure to present our precious BioImage.IO Chatbot at the Virtual Pub of Euro-Bioimaging as part of the AI4Life Project.
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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.
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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.
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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.
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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.
Bachelor Thesis, Degree in Biomedical Engineering, Universidad Carlos III de Madrid, 2023
I worked in co-tutorship with Arrate Muñoz-Barrutia on this bachelor thesis titled “Estimation of Endolymphatic Hydrops Ratios in Ménière’s Disease.” This was a collaborative project between Universidad Carlos III de Madrid and the Clínica Universidad de Navarra.
Master course, Universidad Carlos III de Madrid, Master in Machine Learning for Health, 2023
Teaching assistant in some lectures and laboratory sessions at the Biomedical Image Processing subject for the Master in Machine Learning for Health in the Universidad Carlos III de Madrid.
Master course, Universidad Carlos III de Madrid, Master in Machine Learning for Health, 2024
Teaching assistant in some lectures and laboratory sessions at the Artificial Intelligence in Radiology and Microscopy subject for the Master in Machine Learning for Health in the Universidad Carlos III de Madrid.