IBSim-4i is a 5-day programme consisting of a 2-day training course followed by a 2-day users' forum and 1 day collaborative workshop.
Day 1 and 2: Training courses
Day 1: A practical introduction to Deep learning applied to image
processing
Lead by Prof. David Rousseau (Université d'Angers France) and Félix Mercier, Phd (Université d'Angers France, ImHorPhen group)
This tutorial provides a hands-on introduction to deep learning techniques specifically tailored for image processing tasks. You'll gain practical experience by building and training neural networks to perform image classification, segmentation, and object detection.
The session will be a blend of lecture and hands on session.
More info at YouTube channel: https://www.youtube.com/@imhorphenbioimagingresearc95
Requires the use of Google Colab
Day 2: FEniCS: a popular Open Source software package for Finite Element Analysis
Lead by Chris Richardson (Cambridge University)
FEniCS is a popular Open Source software package for Finite Element Analysis (FEA).
It has the capability to handle unstructured meshes of tetrahedra or hexahedra in parallel on large HPC systems, including parallel I/O. The treatment of the finite element problem is described in a mathematical Domain Specific Language, which follows closely the mathematical formulae involved. Efficient assembly routines create matrix problems that can be handled by third party solvers, such as PETSc. The flexibility of the FEniCS framework makes it suitable for a large array of problems in science, mathematics and technology.
More information: https://fenicsproject.org/
Requires the use of Google Colab
Day 3 and 4: User and Developer Forum. With keynote speakers, the focus will be on the multi-disciplinary aspects of image-based modelling and their applications in industry. Day 5: Collaborative workshop
An entire day dedicated to exploring opportunities for collaboration. This may be to build teams for writing funding proposals, solving particular challenges, round-robin testing, seeking expertise to complement an existing research team, or other activities of a similar nature.