| 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 | 17 | 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 | 14 | 2021 |
| Reinforcement learning for active modality selection during diagnosis G Bernardino, A Jonsson, F Loncaric, PM Martí Castellote, M Sitges, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 6 | 2022 |
| Machine learning-based phenotyping and risk assessment of hypertrophic cardiomyopathy-linking ECGs, morphology and genotypes G Jimenez-Perez, F Loncaric, PM Marti Castellote, M Ramos Jovani, ... European Heart Journal-Cardiovascular Imaging 23 (Supplement_1), jeab289. 431, 2022 | 4 | 2022 |
| Natural language processing for adjudication of heart failure in a multicenter clinical trial: a secondary analysis of a randomized clinical trial JW Cunningham, P Singh, C Reeder, B Claggett, PM Marti-Castellote, ... JAMA cardiology 9 (2), 174-181, 2024 | 3 | 2024 |
| Natural Language Processing for Adjudication of Heart Failure in a Multicenter Clinical Trial JW Cunningham, P Singh, C Reeder, B Claggett, PM Marti-Castellote, ... JAMA cardiology, 2024 | | 2024 |
| Machine Learning for Proteomic Risk Scores in Heart Failure D Xu, J Cunningham, PM Marti-Castellote, L Zhang, NL Patel-Murray, ... Journal of cardiac failure 29 (11), 1583-1585, 2023 | | 2023 |
| Machine learning for the generation of personalized image analysis protocol in echocardiography: a pilot study in arterial hypertension G Bernardino, F Loncaric, A Jonsson, PM Marti-Castellote, M Sitges, ... European Heart Journal-Cardiovascular Imaging 24 (Supplement_1), jead119. 353, 2023 | | 2023 |
| Reinforcement learning for active modality selection during diagnosis G Bernardino Perez, A Jonsson, F Loncaric, PM Martí Castellote, M Sitges, ... Wang L, Dou Q, Fletcher PT, Speidel S, Li S, editors. Medical Image …, 2022 | | 2022 |
| Exploring phenotypes in hypertrophic cardiomyopathy with machine learning data integration. A multicentric, multimodality pilot study F Loncaric, PM Marti Castellote, E Gonzalez Lopez, L Sanchis, T Romero, ... European Heart Journal 42 (Supplement_1), ehab724. 3072, 2021 | | 2021 |
| Evolution of cardiac function in COVID 19 patients in the intensive care unit: insights from machine learning P Marti Castellote, F Loncaric, M Nogueira, M Sitges, B Stessel, J Dubois, ... European Heart Journal-Cardiovascular Imaging 22 (Supplement_1), jeaa356. 431, 2021 | | 2021 |
| Echocardiographic phenotyping of the continuum of myocardial functional remodelling in left ventricular hypertrophy-machine learning validated with cardiac magnetic resonance F Loncaric, PM Marti Castellote, L Sanchiz, G Piella, A Garcia-Alvarez, ... European Heart Journal-Cardiovascular Imaging 22 (Supplement_1), jeaa356. 360, 2021 | | 2021 |
| VP14. 02: Machine learning‐based phenogrouping of third trimester echocardiography can predict the neonatal clinical course in fetuses with tetralogy of Fallot P Garcia‐Canadilla, L Guirado, PM Castellote, I Soveral, B Valenzuela, ... Ultrasound in Obstetrics & Gynecology 56, 108-108, 2020 | | 2020 |
| Exploring the Phenotypic Spectrum of Left Ventricular Hypertrophy in Hypertension and Hypertrophic Cardiomyopathy Using a Machine-Learning Approach-A Pilot Study F Loncaric, PM Castellote, D Fabijanovic, M Mimbrero, P Jorda, L Sanchiz, ... Journal of the American Society of Echocardiography 33 (6), 2020 | | 2020 |
| Characterization of patients with heart failure with preserved ejection fraction using machine learning PM Martí Castellote | | 2019 |
Bart BijnensICREA Professor, UPF, Barcelona, Spain (ROR 0371hy230)Verified email at upf.edu
