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An Artificial Model of the Electrocardiogram during Paroxysmal Atrial Fibrillation.

, and . CinC, page 539-542. www.cinc.org, (2013)

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Nonlinear Bayesian Filtering for Denoising of Electrocardiograms Acquired in a Magnetic Resonance Environment., , , and . IEEE Trans. Biomed. Eng., 57 (7): 1628-1638 (2010)FPGA Implemenatation of an Adaptive Filtering: Application on ECG Signal Artefact Suppression in MRI Environment., , , , , and . ReCoSoC, page 161-165. Univ. Montpellier II, (2007)Generalizable and Robust Deep Learning Algorithm for Atrial Fibrillation Diagnosis Across Ethnicities, Ages and Sexes., , , , , , , , , and . CoRR, (2022)MRI Whole Heart Segmentation Using Discrete Nonlinear Registration and Fast Non-local Fusion., and . STACOM@MICCAI, volume 10663 of Lecture Notes in Computer Science, page 233-241. Springer, (2017)Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge., , , , , , , , , and 9 other author(s). Medical Image Anal., (2019)Adaptive RR prediction for cardiac MRI., , and . ICASSP, page 513-516. IEEE, (2008)Bayesian framework for artifact reduction on ECG IN MRI., , , and . ICASSP, page 489-492. IEEE, (2010)Analysis of Electrocardiogram signals : from modelling to classification through signal processing. (Analyse des signaux Electrocardiogrammes : du modèle à l'apprentissage machine).. (2022)Automated Detection of Ventricular Heartbeats from Electrocardiogram (ECG) Acquired During Magnetic Resonance Imaging (MRI)., , and . CinC, page 1-4. IEEE, (2022)An Artificial Model of the Electrocardiogram during Paroxysmal Atrial Fibrillation., and . CinC, page 539-542. www.cinc.org, (2013)