CV

I’m Caterina Fuster-Barceló, currently in the post-doc world with my focus on AI4Life project, Bioimage Model Zoo, the BioImage.IO Chatbot, and deepImageJ. My Ph.D. in Computer Science and Technology kickstarted this journey, leading me into the fascinating realm of bioimage analysis. Through projects like deepImageJ and the Bioimage Model Zoo, I’m on the front lines of integrating artificial intelligence into biomedical imaging, making strides in how we analyze and interpret biological images. Whether it’s developing a chatbot to streamline bioimage analysis or pushing the boundaries with AI4Life, my work is all about leveraging technology to unveil the microscopic mysteries of biology. It’s not just about the tech; it’s about opening new doors in healthcare and research, one pixel at a time.

Academic Background

Professional History

Publications

Peer-review journals +

ELEKTRA: ELEKTRokardiomatrix Application to biometric identification with Convolutional Neural Networks

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/

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

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

Preprints +

Unleashing the Power of Electrocardiograms: A novel approach for Patient Identification in Healthcare Systems with ECG Signals

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

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

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

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

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

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

Published in PrePrint, submitted to Nature Methods, 2023

BioImage.IO Chatbot: Transforming Bioimage Analysis

Recommended citation: Wanlu Lei, Caterina Fuster-Barceló, Arrate Muñoz-Barrutia, Wei Ouyang. "BioImage.IO Chatbot: A Personalized Assistant for BioImage Analysis Augmented by Community Knowledge Base." Arxiv preprint. https://doi.org/10.48550/arXiv.2310.18351 https://doi.org/10.48550/arXiv.2310.18351

Conference proceedings +

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

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

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

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).

Conference abstracts +

Talks

2024 +

2023 +

2022 +

Teaching

Bachelor Theses +

Master Programs +

Hackathons

Conferences and Workshops

Dissertations

Certifications

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