Machine learning‐based phenogrouping in heart failure to identify responders to cardiac resynchronization therapy M Cikes, S Sanchez‐Martinez, B Claggett, N Duchateau, G Piella, ... European journal of heart failure 21 (1), 74-85, 2019 | 241 | 2019 |
Machine learning analysis of left ventricular function to characterize heart failure with preserved ejection fraction S Sanchez-Martinez, N Duchateau, T Erdei, G Kunszt, S Aakhus, ... Circulation: cardiovascular imaging 11 (4), e007138, 2018 | 132 | 2018 |
Machine learning in fetal cardiology: what to expect P Garcia-Canadilla, S Sanchez-Martinez, F Crispi, B Bijnens Fetal diagnosis and therapy 47 (5), 363-372, 2020 | 120 | 2020 |
Diagnosis of heart failure with preserved ejection fraction: machine learning of spatiotemporal variations in left ventricular deformation M Tabassian, I Sunderji, T Erdei, S Sanchez-Martinez, A Degiovanni, ... Journal of the American society of echocardiography 31 (12), 1272-1284. e9, 2018 | 116 | 2018 |
Characterization of myocardial motion patterns by unsupervised multiple kernel learning S Sanchez-Martinez, N Duchateau, T Erdei, AG Fraser, BH Bijnens, ... Medical image analysis 35, 70-82, 2017 | 77 | 2017 |
Machine learning for clinical decision-making: challenges and opportunities in cardiovascular imaging S Sanchez-Martinez, O Camara, G Piella, M Cikes, ... Frontiers in cardiovascular medicine 8, 765693, 2022 | 57 | 2022 |
Machine-learning–based exploration to identify remodeling patterns associated with death or heart-transplant in pediatric-dilated cardiomyopathy P Garcia-Canadilla, S Sanchez-Martinez, PM Martí-Castellote, C Slorach, ... The Journal of Heart and Lung Transplantation 41 (4), 516-526, 2022 | 18 | 2022 |
Automated pattern recognition in whole-cardiac cycle echocardiographic data: capturing functional phenotypes with machine learning F Loncaric, PMM Castellote, S Sanchez-Martinez, D Fabijanovic, L Nunno, ... Journal of the american society of echocardiography 34 (11), 1170-1183, 2021 | 18 | 2021 |
Machine learning for clinical decision-making: challenges and opportunities S Sánchez-Martínez, O Camara, G Piella, M Cikes, ... MDPI AG, 2019 | 16 | 2019 |
Impact of interventricular interactions on left ventricular function, stroke volume, and exercise capacity in children and adults with Ebstein’s anomaly T Fujioka, A Kühn, S Sanchez-Martinez, BH Bijnens, W Hui, C Slorach, ... JACC: Cardiovascular Imaging 12 (5), 925-927, 2019 | 14 | 2019 |
Analysis of nonstandardized stress echocardiography sequences using multiview dimensionality reduction M Nogueira, M De Craene, S Sanchez-Martinez, D Chowdhury, B Bijnens, ... Medical Image Analysis 60, 101594, 2020 | 8 | 2020 |
An artificial placenta experimental system in sheep: critical issues for successful transition and survival up to one week E Eixarch, M Illa, R Fucho, K Rezaei, A Hawkins-Villarreal, ... Biomedicines 11 (3), 702, 2023 | 5 | 2023 |
Machine learning analysis of left ventricular function to characterize heart failure with preserved ejection fraction. Circ Cardiovasc Imaging. 2018; 11 (4): e007138 S Sanchez-Martinez, N Duchateau, T Erdei, G Kunszt, S Aakhus, ... J Am Coll Cardiol Img 13, 258-71, 2020 | 5 | 2020 |
Machine-learning integration of complex echocardiographic patterns and clinical parameters from cohorts and trials M Cikes, S Sanchez Martinez, B Claggett, SD Solomon, B Bijnens European Heart Journal 40, 2549-2549, 2019 | 4 | 2019 |
Characterizing patterns of response during mild stress-testing in continuous echocardiography recordings using a multiview dimensionality reduction technique M Nogueira, G Piella, S Sanchez-Martinez, H Langet, E Saloux, B Bijnens, ... Functional Imaging and Modelling of the Heart: 9th International Conference …, 2017 | 4 | 2017 |
Characterization of myocardial velocities by multiple kernel learning: application to heart failure with preserved ejection fraction S Sanchez-Martinez, N Duchateau, B Bijnens, T Erdei, A Fraser, G Piella Functional Imaging and Modeling of the Heart: 8th International Conference …, 2015 | 4 | 2015 |
Acute fetal cardiovascular adaptation to artificial placenta in sheep model S Sanchez‐Martinez, PC Randanne, A Hawkins‐Villarreal, K Rezaei, ... Ultrasound in Obstetrics & Gynecology 62 (2), 255-265, 2023 | 2 | 2023 |
4302 Machine-learning integration of complex echocardiographic patterns and clinical parameters from cohorts and trials M Cikes, S Sanchez Martinez, B Claggett, SD Solomon, B Bijnens European Heart Journal 40 (Supplement_1), ehz745. 0147, 2019 | 2 | 2019 |
5118 Machine-learning characterization of myocardial deformation patterns to identify responders to resynchronization therapy M Cikes, S Sanchez Martinez, T Biering Sorensen, AC Pouleur, D Knappe, ... European Heart Journal 38 (suppl_1), ehx493. 5118, 2017 | 2 | 2017 |
546 Machine-learning based exploration of echocardiographic patterns and clinical parameters to understand their relation to death or transplant in pediatric dilated cardiomyopathy S Sanchez-Martinez, C Slorach, W Hui, L Mertens, BH Bijnens, ... European Heart Journal-Cardiovascular Imaging 21 (Supplement_1), jez319. 280, 2020 | 1 | 2020 |