Steven Kreuzer

Dr. Steven Kreuzer


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
23 February 2024
Verified
Book Chapter
Open access
PDF file
ECEulalie Courcelles
Eulalie Courcelles
MHMarc Horner
Marc Horner
PAPayman Afshari
Payman Afshari
AKAlexander Kulesza
Alexander Kulesza
Cristina CurreliCristina Curreli
Cristina Curreli
VCVincenzo Carbone
Vincenzo Carbone
The need for a framework to justify that a model has sufficient credibility to be used as a basis for internal or external (typically regulatory) decision-making is a primary concern when using modelling and simulation (M&S) in healthcare. This chapter reviews published standards on verification, validation, and uncertainty quantification (VVUQ) as well as regulatory guidance that can be used to establish model credibility in this context, providing a potential starting point for a globally harmonised model credibility framework.

14 January 2026 in Bioengineering
Verified
Journal Article
Open access
PDF file
ABAshkan Bagherzadeh
Ashkan Bagherzadeh
VKVahid Keshavarzzadeh
Vahid Keshavarzzadeh
PHPatrick Hoang
Patrick Hoang
SKSteven Kreuzer
Steven Kreuzer
JYJiang Yao
Jiang Yao
JGJulius Guccione
Julius Guccione
Mitral valve orifice area is a key functional metric that depends on complex geometric features, motivating a systematic assessment of the relative influence of these parameters. In this study, the mitral valve geometry is parameterized using twelve geometric variables, and a global sensitivity analysis based on Sobol indices is performed to quantify their relative importance. Because global sensitivity analysis requires many simulations, a Gaussian Process regressor is developed to efficiently predict the orifice area from the geometric inputs. Structural simulations of the mitral valve are carried out in Abaqus, focusing exclusively on the valve mechanics. The predicted distribution of orifice areas obtained from the Gaussian Process shows strong agreement with the ground-truth simulation results, and similar agreement is observed when only the most influential geometric parameters are varied. The analysis identifies a subset of geometric parameters that dominantly govern the mitral valve orifice area and can be reliably extracted from medical imaging modalities such as echocardiography. These findings establish a direct link between echocardiographic measurements and physics-based simulations and provide a framework for patient-specific assessment of mitral valve mechanics, with potential applications in guiding interventional strategies such as MitraClip placement.

23 February 2024
Verified
Book Chapter
Open access
PDF file
AKAlexander Kulesza
Alexander Kulesza
ALAxel Loewe
Axel Loewe
ASAndrea Stenti
Andrea Stenti
CNChiara Nicolò
Chiara Nicolò
EMEnrique Morales-Orcajo
Enrique Morales-Orcajo
SKSteven Kreuzer
Steven Kreuzer
Good Simulation Practice implies that a computational model considered for a simulation task has also been developed according to good practice.