Korbinian Eckstein

Dr. Korbinian Eckstein serves as an Honorary Research Fellow at the School of Electrical Engineering and Computer Science, The University of Queensland. His research centers on advancing neuroimaging methodologies, particularly ultra-high-field magnetic resonance spectroscopy and computational tools for reproducible analysis in neuroscience.

His primary research domains include Neuroimaging, Magnetic Resonance Imaging (MRI), Computational Neuroscience, Brain Metabolism, Medical Image Processing, and Mixed Reality Applications in Medicine. Eckstein has pioneered developments in quantitative susceptibility mapping (QSM) techniques, MR spectroscopic imaging for metabolic studies, and the Neurodesk open-source platform for standardized neuroimaging workflows.

Recent publications reveal a cohesive trajectory toward enhancing reproducibility and accessibility in neuroimaging research. His work bridges ultra-high-field (10.5T) metabolic investigations with practical computational frameworks like Neurodesk, while extending into mixed reality rehabilitation solutions. Key collaborative initiatives include international QSM challenges and the PhantomAR application for phantom limb pain management.

Eckstein is integral to the Neurodesk project, an open-science initiative providing containerized, portable environments for neuroimaging analysis. This platform addresses critical reproducibility challenges through cloud-integrated pipelines and standardized computational practices across global research teams.