2023 Abstracts now online


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

I. Statistical shape modelling

  1. Lecture: Background and applications – Christophe Van Dijck (Materialise)
    • What are statistical shape models
    • How to build shape models?
    • Applications
    • Comparison to AI
  2. 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

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

III. Virtual cohort generation, validation and application

  1. Lecture: Virtual cohort generation and validation: a multi-level methodology – Wouter Huberts (TU/e, SIMCor)
  2. Use-case example: Virtual cohort generation of Aortic Valve Stenosis geometries – Sabine Verstraeten (SIMCor, TU/e)
  3. Use-case example: A statistical shape model of the porcine and human pulmonary artery for evaluation of medical devices – Jan Brüning (CHA, SIMCor)
  4. 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

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


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

Sponsors of ESBiomech 2023, Maastricht

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Beta CAE logo
Dunn Labortechnik logo
European Society of Biomechanics logo
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