70 citations · 70 across the 7 of their papers we have counts for
7 papers
A Gaussian-based spatially weighted loss formulation for Physics-Informed Neural Networks with Shocks
Kheir-eddine Otmani, Abdelhalim Azzouz, Nourelhouda Groun +1
Physics-informed neural networks (PINNs) often struggle to resolve shocks because smooth neural representations and globally averaged residual losses tend to underemphasize localiz…
EigenHearts: Cardiac Diseases Classification Using EigenFaces Approach
Nourelhouda Groun, Maria Villalba-Orero, Lucia Casado-Martin +4
In the realm of cardiovascular medicine, medical imaging plays a crucial role in accurately classifying cardiac diseases and making precise diagnoses. However, the field faces sign…
A Novel Data Augmentation Tool for Enhancing Machine Learning Classification: A New Application of the Higher Order Dynamic Mode Decomposition for Improved Cardiac Disease Identification
Nourelhouda Groun, Maria Villalba-Orero, Lucia Casado-Martin +4
In this work, a data-driven, modal decomposition method, the higher order dynamic mode decomposition (HODMD), is combined with a convolutional neural network (CNN) in order to impr…
Automatic Cardiac Pathology Recognition in Echocardiography Images Using Higher Order Dynamic Mode Decomposition and a Vision Transformer for Small Datasets
Andrés Bell-Navas, Nourelhouda Groun, María Villalba-Orero +3
Heart diseases are the main international cause of human defunction. According to the WHO, nearly 18 million people decease each year because of heart diseases. Also considering th…
Data-driven modal decomposition methods as feature detection techniques for flow problems: a critical assessment
Beka Begiashvili, Nourelhouda Groun, Jesús Garicano-Mena +2
Modal decomposition techniques are showing a fast growth in popularity for their good properties as data-driven tools. There are several modal decomposition techniques, yet Proper…
A Novel Data-Driven Method for the Analysis and Reconstruction of Cardiac Cine MRI
Nourelhouda Groun, Maria Villalba-Orero, Enrique Lara-Pezzi +3
Cardiac cine magnetic resonance imaging (MRI) can be considered the optimal criterion for measuring cardiac function. This imaging technique can provide us with detailed informatio…
Higher Order Dynamic Mode Decomposition: from Fluid Dynamics to Heart Disease Analysis
Nourelhouda Groun, Maria Villalba-Orero, Enrique Lara-Pezzi +3
In this work, we study in detail the performance of Higher Order Dynamic Mode Decomposition (HODMD) technique when applied to echocardiography images. HODMD is a data-driven method…