Publicacións nas que colabora con Andres Iñiguez Romo (17)

2024

  1. Sex differences in delay times in ST-segment elevation myocardial infarction: A cohort study

    Medicina Clinica

2023

  1. Automatic Assessment of Transcatheter Aortic Valve Implantation Results on Four-Dimensional Computed Tomography Images Using Artificial Intelligence

    Bioengineering, Vol. 10, Núm. 10

  2. Improving Intensive Care Unit Early Readmission Prediction Using Optimized and Explainable Machine Learning

    International Journal of Environmental Research and Public Health, Vol. 20, Núm. 4

2022

  1. Automatic Identification of Bioprostheses on X-ray Angiographic Sequences of Transcatheter Aortic Valve Implantation Procedures Using Deep Learning

    Diagnostics, Vol. 12, Núm. 2

  2. Clinical Features and Long-Term Outcomes in Very Young Patients with Myocardial Infarction with Non-Obstructive Coronary Arteries

    Journal of Interventional Cardiology, Vol. 2022

  3. Stroke prevention during and after transcatheter aortic valve implantation: From cerebral protection devices to antithrombotic management

    Frontiers in Cardiovascular Medicine, Vol. 9

  4. TCT-373 Using Deep Learning for TAVI Characterization in Angiographic Sequences for Extracting Radiomic Biomarkers of Prosthesis Deterioration

    Journal of the American College of Cardiology, Vol. 80, Núm. 12, pp. B150

  5. Using Bayesian Optimization and Wavelet Decomposition in GPU for Arterial Blood Pressure Estimation

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, Vol. 2022, pp. 1012-1015

  6. Using Deep Learning on X-ray Orthogonal Coronary Angiograms for Quantitative Coronary Analysis

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2021

  1. Including coronary ostia in patient-specific 3D models of the whole aortic valve apparatus, derived from TEE, for biomechanical simulations

    International Journal of Multiphysics, Vol. 15, Núm. 1, pp. 1-18

  2. Predicting TAVI paravalvular regurgitation outcomes based on numerical simulation of the aortic annulus eccentricity and perivalvular areas

    Computer Methods in Biomechanics and Biomedical Engineering, Vol. 24, Núm. 14, pp. 1629-1637

2020

  1. A biomechanical model of the pathological aortic valve: simulation of aortic stenosis

    Computer Methods in Biomechanics and Biomedical Engineering, Vol. 23, Núm. 8, pp. 303-311

2019

  1. Using PPG Signals and Wearable Devices for Atrial Fibrillation Screening

    IEEE Transactions on Industrial Electronics, Vol. 66, Núm. 11, pp. 8832-8842

2017

  1. An aortic root geometric model, based on transesophageal echocardiographic image sequences (TEE), for biomechanical simulation

    SEMA SIMAI Springer Series

  2. Optimized PPG-based wearable acquisition unit for massive analysis of heart rhythms

    IEEE International Symposium on Industrial Electronics

2016

  1. A hybrid model for extracting the aortic valve in 3D computerized tomography and its application to calculate a new calcium score index

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2014

  1. An automated level-set approach for identification of aortic valve borders in short axis windows of transesophageal echo sequences (TEE)

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)