Author

Ulrich Steinseifer

Universitätsklinikum AachenORCID 0000-0002-8065-9803Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Michael NeidliniD· 2 shared Aaron David MorganiD· 1 shared Andrea Gorgels· 1 shared Christian BöhmiD· 1 shared Christian KaragiannidisiD· 1 shared Christine QuastiD· 1 shared Felix StockmeieriD· 1 shared Filippo Follegot· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersBioengineering

Michael NeidlinORCID

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Author profile →

3 papers

Recent·Most cited

Miniaturized Device for Assessing Calcification Propensity of Biohybrid Implants Under Continuous Flow

Aaron David Morgan, Robert Dzhanaev, Andrea Gorgels, Jan Ritter, Johanna C. Clauser, Felix Stockmeier, Lucas Stüwe, Christian Böhm, Stefan Jockenhoevel, Ulrich Steinseifer, Willi Jahnen‐Dechent

This paper develops a miniaturized flow chamber to assess calcification in biohybrid implants under physiological flow conditions, showing similar calcification in bovine pericardium and no calcification in polycarbonate urethane.

Lab on a Chip · Dec 17, 2025Peer-reviewedBioengineering

Investigation of hemodynamic bulk flow patterns caused by aortic stenosis using a combined 4D Flow MRI-CFD framework

Tianai Wang, Christine Quast, Florian Bönner, Malte Kelm, Tobias Zeus, Teresa Lemainque, Ulrich Steinseifer, Michael Neidlin

This paper uses 4D Flow MRI and CFD to analyze altered blood flow patterns in aortic stenosis, showing increased shear stress and helical flow changes that may damage red blood cells.

PLoS Computational Biology · Mar 27, 2025Peer-reviewedBioengineering

Generating virtual patient data for in-silico clinical trials of medical devices during extracorporeal membrane oxygenationtreatment

Micha Landoll, Yifei Huang, Filippo Follegot, Stephan Eric Straßmann, Ulrich Steinseifer, Christian Karagiannidis, Michael Neidlin

This paper generates synthetic EHR data for ECMO patients using CTGAN to address privacy and data scarcity issues, enabling in-silico clinical trials.

bioRxiv · Sep 3, 2024 · PreprintBioinformatics