Search Results - Taconne, T M

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  1. 1
    Identification and validation of ventricular rhythmic risk subgroups in hypertrophic cardiomyopathy by clustering analysis including left ventricular strain analysis

    Identification and validation of ventricular rhythmic risk subgroups in hypertrophic cardiomyopathy by clustering analysis including left ventricular strain analysis by Al Wazzan, A A, Taconne, T M, Ribet, F R, Le Rolle, V L, Hermann Haugaa, K H, Edvardsen, T E, Huttin, O H

    Published in European heart journal
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  2. 2
    Evolution of non-invasive myocardial work parameters after transcatheter aortic valve implantation in patients with severe aortic stenosis

    Evolution of non-invasive myocardial work parameters after transcatheter aortic valve implantation in patients with severe aortic stenosis by Quinio, L, Galli, E, Hubert, A, Taconne, M, Le Rolle, V, Donal, E

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  3. 3
    Identification of novel risk profiles for ventricular arrythmias in hypertrophic cardiomyopathy through clustering analysis including left ventricular strain data

    Identification of novel risk profiles for ventricular arrythmias in hypertrophic cardiomyopathy through clustering analysis including left ventricular strain data by Al Wazzan, A, Taconne, M, Le Rolle, V, Hermann Haugaa, K, Galli, E, Hernandez, A, Edvardsen, T, Donal, E

    Published in European heart journal
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  4. 4
    Machine learning model including left ventricular strain analysis for sudden cardiac death prediction in hypertrophic cardiomyopathy

    Machine learning model including left ventricular strain analysis for sudden cardiac death prediction in hypertrophic cardiomyopathy by Al Wazzan, A., Taconne, M., Le Rolle, V., Inngjerdingen Forsaa, M., Hermann Haugaa, K., Galli, E., Hernandez, A., Edvarsen, T., Donal, E.

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  5. 5
    Machine learning model including left ventricular strain analysis for sudden cardiac death prediction in hypertrophic cardiomyopathy

    Machine learning model including left ventricular strain analysis for sudden cardiac death prediction in hypertrophic cardiomyopathy by Al Wazzan, A, Taconne, M, Le Rolle, V, Inngjerdingen Forsaa, M, Hermann Haugaa, K, Galli, E, Hernandez, A, Edvardsen, T, Donal, E

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  6. 6
    How myocardial work could be relevant in patients with an aortic valve stenosis?

    How myocardial work could be relevant in patients with an aortic valve stenosis? by Taconne, M, Le Rolle, V, Panis, V, Hubert, A, Auffret, V, Galli, E, Hernandez, A, Donal, E

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  7. 7
    Characterisation of responder profiles for cardiac resynchronisation therapy based on explainable machine-learning and virtual patient approaches

    Characterisation of responder profiles for cardiac resynchronisation therapy based on explainable machine-learning and virtual patient approaches by Taconne, M, Le Rolle, V, Galli, E, Gallard, A, Owashi, K, Al Wazzan, A, Voigt, J U, Duchenne, J, Smiseth, O, Donal, E, Hernandez, A

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  8. 8
    Sensitivity Analysis and Parameter Identification of a Cardiovascular Model in Aortic Stenosis

    Sensitivity Analysis and Parameter Identification of a Cardiovascular Model in Aortic Stenosis by Taconne, Marion, Le Rolle, Virginie, Owashi, Kimi P, Panis, Vasileios, Hubert, Arnaud, Auffret, Vincent, Galli, Elena, Hernandez, Alfredo, Donal, Erwan

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  9. 9
    Model-based and Unsupervised Machine-learning Approaches for the Characterization of Responder Profiles for Cardiac Resynchronization Therapy

    Model-based and Unsupervised Machine-learning Approaches for the Characterization of Responder Profiles for Cardiac Resynchronization Therapy by Taconne, Marion, Rolle, Virginie Le, Gallard, Alban, Owashi, Kimi P, Al Wazzan, Adrien, Galli, Elena, Voigt, Jens-Uwe, Duchenne, Jurgen, Smiseth, Otto, Donal, Erwan, Hernandez, Alfredo

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