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A fully automatic machine-learning algorithm reliably quantifies scar on CMR in post-infarct patients and outperforms humans in predicting arrhythmic events in the international derivate cohort

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Professor Juerg Schwitter

University Hospital Lausanne, Lausanne (Switzerland)
7 presentations
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7 more presentations in this session

Drug gene interaction in association with novel transcriptomic based plaque phenotypes: a study in symptomatic and asymptomatic human plaques

Speaker: Professor G. Pasterkamp (Utrecht, NL)

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Activation of the Apelin Receptor by LIT01-196 as a New Strategy for Prevention of Heart Failure After Myocardial Infarction

Speaker: Mr P. Girault-Sotias (Paris, FR)

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Arrhythmogenic Cardiomyopathy is caused by disruption of the desmosomal adhesive interface

Speaker: Doctor C. Schinner (Basel, CH)

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Prediction of plaque vulnerability and clinical outcome by a deep learning-based algorithm for optical coherence tomography imaging in coronary artery disease

Speaker: Professor S. Uemura (Kurashiki, JP)

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Convoluted Neural Network ECG classification using Fourier domain shows improved accuracy versus real domain ECG in Atrial Fibrillation using PTB-XL Dataset

Speaker: Doctor M. Kent (Ann Arbor, US)

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Speakers: Professor J. Schwitter, Professor G. Pasterkamp, Mr P. Girault-Sotias, Doctor C. Schinner, Professor S. Uemura...
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ESC Congress 2021 - The Digital Experience

27 August - 30 August 2021

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