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)
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The registration desk / conference secretariat will be open during the following hours
- Sunday, 09th July, 07:30 – 19:00
- Monday, 10th July, 07:30 – 18:00
- Tuesday, 11th July, 08:00 – 18:00
- Wednesday, 12th July, 08:00 – 18:00