Publications

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

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 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

The Crucial Role of Bioimage Analysts in Scientific Research and Publication

Published in Journal of Cell Science, 2024

A perspective on the critical contributions and challenges of bioimage analysts in biological research.

Recommended citation: B.A. Cimini, P. Bankhead, R. d'Antuono, et al., 'The Crucial Role of Bioimage Analysts in Scientific Research and Publication,' Journal of Cell Science, vol. 137, no. 20, 2024. DOI: 10.1242/jcs.262322. https://journals.biologists.com/jcs/article/137/20/jcs262322/362545

ECG-Based Patient Identification: A Comprehensive Evaluation Across Health and Activity Conditions

Published in IEEE Access, 2024

A comprehensive evaluation of ECG-based patient identification under health and activity conditions.

Recommended citation: C. Fuster-Barceló, C. Cámara, and P. Peris-López, "ECG-Based Patient Identification: A Comprehensive Evaluation Across Health and Activity Conditions," in IEEE Access, doi: 10.1109/ACCESS.2024.3519462. https://ieeexplore.ieee.org/abstract/document/10804759

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).

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

Published in 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.

Recommended 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. https://pias.cc/proceedings/afford-to-research.pdf

Harnessing Deep Learning in Bioimaging: The DeepImageJ Journey

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