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20222026
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eess.IV2025

Heart Failure Prediction using Modal Decomposition and Masked Autoencoders for Scarce Echocardiography Databases

Andrés Bell-Navas, María Villalba-Orero, Enrique Lara-Pezzi +2

Heart diseases remain the leading cause of mortality worldwide, implying approximately 18 million deaths according to the WHO. In particular, heart failures (HF) press the healthca…

eess.IV2024

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…

eess.IV2024

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…

eess.IV2024

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…

eess.IV2022

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…

eess.IV2022

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…