June 25, 2021 (Virtual)

As part of the 11th biennial meeting on Functional Imaging and Modeling of the Heart (FIMH-2021)

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UncertainSCI is a Python-based toolkit that harnesses modern techniques to estimate model and parametric uncertainty, with a particular emphasis on needs for biomedical simulations and applications. This toolkit enables non-intrusive integration of these techniques with well-established biomedical simulation software.

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Schedule

Part I: 9:00–10:30 MST

• Uncertainty modeling (30 min) with Akil Narayan
• Background math (30 min) with Akil Narayan
• UncertainSCI and basic operation (30 min) with Jess Tate and Jake Bergquist

Part II: 11:00-12:30 MST

• Case study 1: Cardiac bioelectricity (geometry, shape analysis, conductivity) with Jess Tate and Jake Bergquist
• Case study 2: Neuromodulation (conductivity and comparison with other tools; electrode placement) with Sumientra Rampersad
  • Example Script
• Breakout sessions based on interest; organized into breakout rooms with the UncertainSCI team

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Tutorials