IGT Network+ members are invited to the first Luxembourg Residential Workshop on Computational Sciences for Medical Simulation: Surgical Training and Guidance, which will take place on 12-14 December 2016 in Luxembourg city.
This first workshop, bringing together surgeons and computational scientists, will focus on the current state of the art in Surgical Simulation and investigate areas where future research is particularly necessary. It is anticipated that one or more international proposals will be submitted based on the outcome of this workshop.
The themes of the workshop are:
- Modelling (constitutive modelling, multi-scale models, from image to model, inverse problems)
- Simulation (advanced numerical methods, data-driven simulation, curse of dimensionality)
- Uncertainty Quantification and Error Estimation (error-driven adaptivity, uncertainties) UQ/EE
- Image guidance
The workshop will take place over 3 days. The first half of each day will consist of technical talks, with the second part of the day reserved for small group discussions around the above themes. The residential nature of the workshop will allow participants to network throughout.
IGT Network+ members who wish to attend the workshop should contact Marie Leblanc and Paula Souza, providing the following information:
- Which days you are able to attend, and whether you will attend morning and/or afternoon
- Whether you or a colleague would be interested in delivering a 30 minute talk, with the following topics of particular interest:
– Uncertainty and error quantification
– Boundary conditions in surgical simulation
– Modelling particular surgical gestures
– Computational diagnostics
– Inverse problems for model selection and parameter identification.
– Data-driven Laplacean-Bayesian inference: from machine learning to physics-based approaches
– Model generation from data: images, experiments
– Constitutive modelling
- Confirmation that you are happy to help moderate round table sessions related to Modelling/Simulation/UQ EE and/or Image Guidance in collaboration with the local team.
Representatives from clinical practice are particularly welcome; should you have close collaborators in this field who may wish to attend, please pass their contact details to Marie and Paula.
Register on the University of Luxembourg website.