Quantifying the impact of shape uncertainty on predicted arrhythmias

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  • who: Cesare Corrado from the Division of Imaging Sciences and Biomedical Engineering, King`s College London, London SE EH, United Kingdom Insigneo Institute for in-silico Medicine and Department of Computer Science, University of Sheffield, Sheffield, United Kingdom have published the paper: Quantifying the impact of shape uncertainty on predicted arrhythmias, in the Journal: (JOURNAL) of 15/Dec/2022
  • what: Latent variables encode shape uncertainty: the authors evaluate their posterior distribution for each new anatomy. For each sample the authors determine the outcome by comparing pre- and post-ablation activation patterns following a cross-field . . .

     

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