activity
20242026
collaborators

4 papers

cs.CV2026

CardioMOD-Net: A Modal Decomposition-Neural Network Framework for Diagnosis and Prognosis of HFpEF from Echocardiography Cine Loops

Andrés Bell-Navas, Jesús Garicano-Mena, Antonella Ausiello +3

Introduction: Heart failure with preserved ejection fraction (HFpEF) arises from diverse comorbidities and progresses through prolonged subclinical stages, making early diagnosis a…

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…