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.
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
- Breakout sessions based on interest; organized into breakout rooms with the UncertainSCI team
Tutorials
Introduction to UncertainSCI
Applications
Background Math
Cardiac Bioelectricity
Brain Neuromodulation
Applications
Background Math
Cardiac Bioelectricity
Brain Neuromodulation