Antonio J. Rodríguez-Almeida

According to our database, Antonio J. Rodríguez-Almeida authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Low-Cost FPGA Implementation of Deep Learning-Based Heart Sound Segmentation for Real-Time CVDs Screening.

Daniel Enériz, Antonio J. Rodríguez-Almeida, Himar Fabelo, Samuel Ortega, Francisco Javier Balea-Fernández, Gustavo Marrero Callicó, Nicolás Medrano, Belén Calvo

IEEE Trans. Instrum. Meas., 2024

FPGA Design of Digital Circuits for Phonocardiogram Pre-Processing Enabling Real-Time and Low-Power AI Processing.

Domenico Ragusa, Antonio J. Rodríguez-Almeida, Marco Gazzoni, Emanuele Torti, Elisa Marenzi, Himar Fabelo, Gustavo Marrero Callicó, Francesco Leporati

Proceedings of the 27th Euromicro Conference on Digital System Design, 2024

Low-Power Implementation of a U-Net-based Model for Heart Sound Segmentation on a Low-Cost FPGA.

Daniel Enériz, Antonio J. Rodríguez-Almeida, Himar Fabelo, Gustavo Marrero Callicó, Nicolás Medrano, Belén Calvo

Proceedings of the 27th Euromicro Conference on Digital System Design, 2024

2023

Synthetic Patient Data Generation and Evaluation in Disease Prediction Using Small and Imbalanced Datasets.

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

IEEE J. Biomed. Health Informatics, June, 2023

Novel Approach for AI-Based Risk Calculator Development Using Transfer Learning Suitable for Embedded Systems.

Antonio J. Rodríguez-Almeida, Himar Fabelo, Cristina Soguero-Ruíz, Rosa María Sanchez-Hernandez, Ana M. Wägner, Gustavo Marrero Callicó

Proceedings of the 26th Euromicro Conference on Digital System Design, 2023

Acceleration of a CNN-based Heart Sound Segmenter: Implementation on Different Platforms Targeting a Wearable Device.

Domenico Ragusa, Antonio J. Rodríguez-Almeida, Stephan Nolting, Emanuele Torti, Himar Fabelo, Ingo Hoyer, Alexander Utz, Gustavo Marrero Callicó, Francesco Leporati

Proceedings of the 26th Euromicro Conference on Digital System Design, 2023

2022

Exploring a Segmentation-Classification Deep Learning-based Heart Murmurs Detector.

Daniel Enériz, Antonio J. Rodríguez-Almeida, Himar Fabelo, Samuel Ortega, Francisco Balea-Fernández, Nicolás Medrano, Belén Calvo, Gustavo Marrero Callicó

Proceedings of the Computing in Cardiology, 2022