Nicolas Aguirre

According to our database, Nicolas Aguirre authored at least 6 papers between 2021 and 2023.

Collaborative distances:

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

2023

Central Arterial Dynamic Evaluation from Peripheral Blood Pressure Waveforms Using CycleGAN: An In Silico Approach.

Nicolas Aguirre, Leandro J. Cymberknop, Edith Grall-Maës, Eugenia Ipar, Ricardo L. Armentano

Sensors, February, 2023

2021

Blood Pressure Morphology Assessment from Photoplethysmogram and Demographic Information Using Deep Learning with Attention Mechanism.

Nicolas Aguirre, Edith Grall-Maës, Leandro J. Cymberknop, Ricardo L. Armentano

Sensors, 2021

Teaching Machine Learning in Argentina: the ClusterAI pipeline.

Martin Palazzo, Agustin Velazquez, Melisa Breda, Matias Callara, Nicolas Aguirre

Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, 2021

Blood Pressure Morphology as a Fingerprint of Cardiovascular Health: A Machine Learning Based Approach.

Eugenia Ipar, Nicolas A. Aguirre, Leandro J. Cymberknop, Ricardo L. Armentano

Proceedings of the Applied Informatics - Fourth International Conference, 2021

A Delineator for Arterial Blood Pressure Waveform Analysis Based on a Deep Learning Technique.

Nicolas Aguirre, Edith Grall-Maës, Leandro J. Cymberknop, Ricardo L. Armentano

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Arterial-Ventricular Coupling Impairment is Evidenced in Both Normal and Ischemic Subjects by Applying Cluster Analysis.

Nicolas Aguirre, Leandro J. Cymberknop, Ignacio Farro Ventura, Carlos Américo, Fabian Martinez, Edith Grall-Maës, Natalia Lluberas, Gabriel Parma, Julia Aramburu, Ricardo L. Armentano

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021