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ORCIDNicolas Aguirre
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Journal Articles
- 2023
[j2]Nicolas Aguirre
, Leandro J. Cymberknop, Edith Grall-Maës, Eugenia Ipar, Ricardo L. Armentano:
Central Arterial Dynamic Evaluation from Peripheral Blood Pressure Waveforms Using CycleGAN: An In Silico Approach. Sensors 23(3): 1559 (2023)- 2021
- [j1]Nicolas Aguirre, Edith Grall-Maës, Leandro J. Cymberknop, Ricardo L. Armentano:
Blood Pressure Morphology Assessment from Photoplethysmogram and Demographic Information Using Deep Learning with Attention Mechanism. Sensors 21(6): 2167 (2021)
Conference and Workshop Papers
- 2021
- [c4]Nicolas Aguirre, Edith Grall-Maës, Leandro J. Cymberknop, Ricardo L. Armentano:
A Delineator for Arterial Blood Pressure Waveform Analysis Based on a Deep Learning Technique. EMBC 2021: 56-59 - [c3]Nicolas Aguirre, Leandro J. Cymberknop, Ignacio Farro Ventura, Carlos Américo, Fabian Martinez, Edith Grall-Maës, Natalia Lluberas, Gabriel Parma, Julia Aramburu, Ricardo L. Armentano:
Arterial-Ventricular Coupling Impairment is Evidenced in Both Normal and Ischemic Subjects by Applying Cluster Analysis. EMBC 2021: 5590-5593 - [c2]Eugenia Ipar, Nicolas A. Aguirre, Leandro J. Cymberknop, Ricardo L. Armentano:
Blood Pressure Morphology as a Fingerprint of Cardiovascular Health: A Machine Learning Based Approach. ICAI 2021: 253-265 - [c1]Martin Palazzo, Agustin Velazquez, Melisa Breda, Matias Callara, Nicolas Aguirre:
Teaching Machine Learning in Argentina: the ClusterAI pipeline. Teaching ML 2021: 83-87
Coauthor Index
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