Jorge Corral Acero

Artificial Intelligence Research Institute — Spain

Medicine · Health Sciences

8h-index911citations22works1.22yr avg
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Research Topics

Cardiac Imaging and Diagnostics(12), Cardiovascular Function and Risk Factors(10), Radiomics and Machine Learning in Medical Imaging(7), Medical Imaging and Analysis(5), Medical Image Segmentation Techniques(3)

Publications21 total

Assessing the contribution of cycle selection to inter-observer variability in echocardiographic measurements
European Heart Journal·2025
Accurate estimation of interobserver variability in echocardiography segmentation measured from 35 experts and impact on derived clinical metrics
European Heart Journal - Cardiovascular Imaging·2025
Impact of interobserver variability of echocardiography derived clinical metrics on sample size estimation in clinical trials
European Heart Journal - Cardiovascular Imaging·2025Open Access
Interobserver regional variability of left ventricular endocardium and epicardium delineation in echocardiography imaging
European Heart Journal - Cardiovascular Imaging·2025
Comprehensive characterization of cardiac contraction for improved post-infarction risk assessment
Scientific Reports·2024· 6 citedOpen Access
Interpretable cardiac anatomy modeling using variational mesh autoencoders
Frontiers in Cardiovascular Medicine·2022· 28 citedOpen Access
Understanding and Improving Risk Assessment After Myocardial Infarction Using Automated Left Ventricular Shape Analysis
JACC. Cardiovascular imaging·2022· 40 citedOpen Access
A Multi-view Crossover Attention U-Net Cascade with Fourier Domain Adaptation for Multi-domain Cardiac MRI Segmentation
Lecture notes in computer science·2022· 3 cited
Understanding and Improving Risk Assessment after Myocardial Infarction using Automated Left Ventricular Shape Analysis
Figshare·2022Open Access
Understanding and Improving Risk Assessment after Myocardial Infarction using Automated Left Ventricular Shape Analysis
Figshare·2022Open Access
Understanding and Improving Risk Assessment after Myocardial Infarction using Automated Left Ventricular Shape Analysis
Figshare·2022Open Access
Mesh U-Nets for 3D Cardiac Deformation Modeling
Lecture notes in computer science·2022· 8 citedOpen Access
Post-Infarction Risk Prediction with Mesh Classification Networks
Lecture notes in computer science·2022· 7 citedOpen Access
Generative adversarial networks for construction of virtual populations of mechanistic models: simulations to study Omecamtiv Mecarbil action
Journal of Pharmacokinetics and Pharmacodynamics·2021· 19 citedOpen Access
Understanding and Improving Risk Assessment after Infarction using Automated Left Ventricular Shape Analysis
Figshare·2021Open Access
Automated 3D analysis of left ventricular shape and contraction improves risk assessment after acute myocardial infarction
Figshare·2021Open Access
A 2-Step Deep Learning Method with Domain Adaptation for Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Magnetic Resonance Segmentation
Lecture notes in computer science·2021· 16 citedOpen Access
The ‘Digital Twin’ to enable the vision of precision cardiology
European Heart Journal·2020· 734 citedOpen Access
Left Ventricle Quantification with Cardiac MRI: Deep Learning Meets Statistical Models of Deformation
Lecture notes in computer science·2020· 8 cited
SMOD - Data Augmentation Based on Statistical Models of Deformation to Enhance Segmentation in 2D Cine Cardiac MRI
Lecture notes in computer science·2019· 25 citedOpen Access
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Frequent Co-authors

Vicente Grau(16), Ernesto Zacur(14), Alfonso Bueno‐Orovio(14), Pablo Lamata(14), Andreas Schuster(10), Thomas Stiermaier(10), Sören J. Backhaus(10), Hölger Thiele(10), Ingo Eitel(9), Torben Lange(6), Torben Lange(4), Marcel Beetz(4), Ruben Evertz(4), Matías Nicolás Bossa(4), C. Díez-López(4), José Ángel Cabrera(4), Abhirup Banerjee(3), L Garcia-Elcano(3), E Giraldo Del Viejo(3), Arthur Mineli Kuester Berto(3)