64 citations · 64 across the 6 of their papers we have counts for
6 papers
Machine Learning Framework for Thrombosis Risk Prediction in Rotary Blood Pumps
Christopher Blum, Michael Neidlin
Thrombosis in rotary blood pumps arises from complex flow conditions that remain difficult to translate into reliable and interpretable risk predictions using existing computationa…
Bayesian Parameter Inference and Uncertainty-Informed Sensitivity Analysis in a 0D Cardiovascular Model for Intraoperative Hypotension
Jan-Niklas Thiel, Marko Zlicar, Ulrich Steinseifer +2
Computational cardiovascular models are promising tools for clinical decision support, particularly in complex conditions, such as intraoperative hypotension (IOH). IOH arises from…
Characterizing Intraventricular Flow Patterns via Modal Decomposition Techniques in Idealized Left Ventricle Models
Eneko Lazpita, Michael Neidlin, Jesus Garicano-Mena +1
Understanding the formation, propagation, and breakdown of the main vortex ring (VR) is essential for characterizing left ventricular (LV) hemodynamics, as its dynamics have been l…
Towards Robust Hemolysis Modeling with Uncertainty Quantification: A Universal Approach to Address Experimental Variance
Christopher Blum, Ulrich Steinseifer, Michael Neidlin
Purpose: The purpose of this study is to address the lack of uncertainty quantification in numerical hemolysis models, which are critical for medical device evaluations. Specifical…
Quantifying the Influence of Combined Lung and Kidney Support Using a Cardiovascular Model and Sensitivity Analysis-Informed Parameter Identification
Jan-Niklas Thiel, Ana Martins Costa, Bettina Wiegmann +3
Combined extracorporeal membrane oxygenation (ECMO) and continuous renal replacement therapy (CRRT) pose complex hemodynamic challenges in intensive care. In this study, a comprehe…
Possible Contexts of Use for In Silico trials methodologies: a consensus-based review
Marco Viceconti, Luca Emili, Payman Afshari +15
The term "In Silico Trial" indicates the use of computer modelling and simulation to evaluate the safety and efficacy of a medical product, whether a drug, a medical device, a diag…