Pre-courses

Also this year a number of short courses will be organized by our partners.

I. Statistical shape modelling

Lecture: Background and applications – Christophe Van Dijck (Materialise)
- What are statistical shape models
- How to build shape models?
- Applications
- Comparison to AI
Short intro of the Mimics innovation suite: How to create SSM of a human femur? (Arsham Makaryan, Materialise)

II. AI-based and hybrid modelling: an introduction

Lecture: Hybrid Modelling – Francesco Regazzoni (Polimi)
Use-case example: GANs for clinical data synthesis – Raji Ganesan (TU/e, In-Silico World project)
Use-case example: AI-based prediction of transvalvular pressure gradients in aortic stenosis – Jan Brüning (CHA, SIMCor)
Use-case example: Generating synthetic aorta shapes using diffusion networks – Teodor Matei (Siemens/UTBV)

III. Virtual cohort generation, validation and application

Lecture: Virtual cohort generation and validation: a multi-level methodology – Wouter Huberts (TU/e, SIMCor)
Use-case example: Virtual cohort generation of Aortic Valve Stenosis geometries – Sabine Verstraeten (SIMCor, TU/e)
Use-case example: A statistical shape model of the porcine and human pulmonary artery for evaluation of medical devices – Jan Brüning (CHA, SIMCor)
Use-case example: Automatic spine modelling for clinical cohorts – Joeri Kok (TU/e, ScoliStorm project, ERC advanced grant)

IV. From patient-based to in-silico trials: status quo and future perspective

Lecture: Patient-based clinical trials – Pablo Verde (HHU)
Lecture: From engineering metrics to clinical endpoints – Andreas Arndt (Biotronik)
Round table discussion – Moderator: Liesbet Geris (KU Leuven)

The registration desk / conference secretariat will be open during the following hours