Data-driven modal decomposition methods as feature detection techniques for flow problems: A critical assessment B Begiashvili, N Groun, J Garicano-Mena, S Le Clainche, E Valero Physics of Fluids 35 (4), 2023 | 26 | 2023 |
Higher order dynamic mode decomposition: From fluid dynamics to heart disease analysis N Groun, M Villalba-Orero, E Lara-Pezzi, E Valero, J Garicano-Mena, ... Computers in Biology and Medicine 144, 105384, 2022 | 20 | 2022 |
A novel data-driven method for the analysis and reconstruction of cardiac cine MRI N Groun, M Villalba-Orero, E Lara-Pezzi, E Valero, J Garicano-Mena, ... Computers in biology and medicine 151, 106317, 2022 | 6 | 2022 |
Automatic Cardiac Pathology Recognition in Echocardiography Images Using Higher Order Dynamic Mode Decomposition and a Vision Transformer for Small Datasets A Bell-Navas, N Groun, M Villalba-Orero, E Lara-Pezzi, J Garicano-Mena, ... arXiv preprint arXiv:2404.19579, 2024 | | 2024 |
Higher order dynamic mode decomposition beyond aerospace engineering N Groun, B Begiashvili, E Valero, J Garicano-Mena, S Le Clainche Results in Engineering 20, 101471, 2023 | | 2023 |
Data-Driven Methods Beyond Aerospace Field N Groun, B Begiashvili, E Valero, J Garicano-Mena, S Le Clainche International Symposium on Unmanned Systems and The Defense Industry, 105-110, 2022 | | 2022 |
CEDYA 2024-Communication proposal Section: M15 A Bell-Navas, E Lazpita, N Groun, J Garicano-Mena, S Le Clainche | | |