2 papers
cs.LG2025
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…
physics.med-ph2024
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…