Paper in Journalen mit Peer Review

T. AlBaraghtheh, R. Willumeit-Römer, B. Zeller-Plumhoff, Best Practices in Developing a Workflow for Uncertainty Quantification for Modeling the Biodegradation of Mg-Based Implants, Advanced Science (2024). doi: 10.1002/advs.202403543

Konferenzbeiträge (peer-reviewed) und Preprints

S. Irvine, C. Lucas, M. Bootbool, S. Galli, B. Zeller-Plumhoff, J. Moosmann, Multi-modal image registration and machine learning for the generation of 3D virtual histology of bone implants, Proceedings Volume 13152, Developments in X-Ray Tomography XV; 131521Z (2024) https://doi.org/10.1117/12.3028465

J. Moosmann, J. Ahrens, S. Irvine, T.M. Wong, C. Lucas, F. Beckmann, J.U. Hammel, D.C.F. Wieland, B. Zeller-Plumhoff, P. Heuser, Machine learning for the reconstruction and analysis of synchrotron-radiation tomography data, Proceedings Volume 13152, Developments in X-Ray Tomography XV; 131520Z (2024) https://doi.org/10.1117/12.3028018

D. Priebe, N. Pohl, T. AlBaraghtheh, S. Schimek, F. Wieland, D. Krüger, S. Trostorff, R. Willumeit-Römer, R. Köhl, B. Zeller-Plumhoff, Computational modelling of bone growth and mineralization surrounding biodegradable Mg-based and permanent Ti implants, (2024) arXiv:2408.03820