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Antonio J. Rodríguez-Almeida

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Journal Articles

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2024
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Daniel Enériz, Antonio J. Rodríguez-Almeida, Himar Fabelo, Samuel Ortega, Francisco Javier Balea-Fernández, Gustavo Marrero Callicó, Nicolás Medrano, Belén Calvo:
Low-Cost FPGA Implementation of Deep Learning-Based Heart Sound Segmentation for Real-Time CVDs Screening. IEEE Trans. Instrum. Meas. 73: 1-16 (2024)
2023
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Antonio J. Rodríguez-Almeida, Himar Fabelo, Samuel Ortega, Alejandro Deniz, Francisco Javier Balea-Fernández, Eduardo Quevedo, Cristina Soguero-Ruíz, Ana M. Wägner, Gustavo Marrero Callicó:
Synthetic Patient Data Generation and Evaluation in Disease Prediction Using Small and Imbalanced Datasets. IEEE J. Biomed. Health Informatics 27(6): 2670-2680 (2023)

Conference and Workshop Papers

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2023
[c3]
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Antonio J. Rodríguez-Almeida, Himar Fabelo, Cristina Soguero-Ruíz, Rosa María Sanchez-Hernandez, Ana M. Wägner, Gustavo Marrero Callicó:
Novel Approach for AI-Based Risk Calculator Development Using Transfer Learning Suitable for Embedded Systems. DSD 2023: 103-110
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Domenico Ragusa, Antonio J. Rodríguez-Almeida, Stephan Nolting, Emanuele Torti, Himar Fabelo, Ingo Hoyer, Alexander Utz, Gustavo Marrero Callicó, Francesco Leporati:
Acceleration of a CNN-based Heart Sound Segmenter: Implementation on Different Platforms Targeting a Wearable Device. DSD 2023: 294-301
2022
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Daniel Enériz, Antonio J. Rodríguez-Almeida, Himar Fabelo, Samuel Ortega, Francisco Balea-Fernández, Nicolás Medrano, Belén Calvo, Gustavo Marrero Callicó:
Exploring a Segmentation-Classification Deep Learning-based Heart Murmurs Detector. CinC 2022: 1-4

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