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Phenotyping of Heart Failure with Preserved Ejection Faction Using Health Electronic Records and Echocardiography.

, , , and . MIE, volume 294 of Studies in Health Technology and Informatics, page 116-118. IOS Press, (2022)

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Multi-modal data fusion for Cardiac Resynchronization Therapy planning and assistance., , , , , , , and . EMBC, page 2391-2394. IEEE, (2015)Classification of LV wall motion in cardiac MRI using kernel Dictionary Learning with a parametric approach., , , , , , and . EMBC, page 7292-7295. IEEE, (2015)Cardiac Cine-MRI/CT Registration for Interventions Planning., , , , and . ISBI, page 776-779. IEEE, (2019)Dynamic Registration of Multiple-view US and MRI for the Characterization of Hypertrophic Cardiomyopathy., , , , , , and . CinC, page 237-240. www.cinc.org, (2013)Model-based and Unsupervised Machine-learning Approaches for the Characterization of Responder Profiles for Cardiac Resynchronization Therapy., , , , , , , , , and 1 other author(s). CinC, page 1-4. IEEE, (2022)A Hybrid Tissue-Level Model of the Left Ventricle: Application to the Analysis of the Regional Cardiac Function in Heart Failure., , , , and . FIMH, volume 5528 of Lecture Notes in Computer Science, page 258-267. Springer, (2009)Sensitivity Analysis and Parameter Identification of a Cardiovascular Model in Aortic Stenosis., , , , , , , , and . CinC, page 1-4. IEEE, (2021)Phenotyping of Heart Failure with Preserved Ejection Faction Using Health Electronic Records and Echocardiography., , , and . MIE, volume 294 of Studies in Health Technology and Informatics, page 116-118. IOS Press, (2022)Discriminative dictionary learning for local LV wall motion classification in cardiac MRI., , , , , and . Expert Syst. Appl., (2019)Optimal Algorithm Switching for the Estimation of Systole Period From Cardiac Microacceleration Signals (SonR)., , , , , , and . IEEE Trans. Biomed. Eng., 59 (11-1): 3009-3015 (2012)