Georg Spinner, PhD, MD

Georg Spinner, PhD, MD

ZHAW School of Life Sciences and Facility Management
Institute of Computational Life Sciences
Schloss
8820 Wädenswil

+41 58 934 54 43
georg.spinner@zhaw.ch

Work at ZHAW

Position

Lecturer, Head research group Medical Image Analysis & Data Modelling

Network

ORCID digital identifier

ORCID ID: 0000-0001-9640-8155

Projects

Delirium DynamiX / Project leader / ongoing
GEMINI: A Generation of Multi-scale Digital Twins of Ischaemic and Haemorrhagic Stroke Patients / Team member / ongoing
Digital Health Zurich: a practice lab for patient-centred clinical innovation / Team member / ongoing
IVIM: muscle activation of the shoulder / Project leader / completed
Stroke DynamiX – Graphical and Causal Networks for Personalized Stroke Management / Project leader / completed
Modeling of multicentric and dynamic stroke health data / Project leader / completed
Data-driven decision support for intracranial aneurysms and hospital catering using Bayesian networks / Project leader / completed

Publications

Articles in scientific journal, peer-reviewed

Bührer, L. et al. (2026) 'Disentangling determinants of one-year modified Rankin Scale in patients with incidentally detected solitary intracranial aneurysms', Computers in Biology and Medicine, 210(111731). doi: 10.1016/j.compbiomed.2026.111731.
Delucchi, M. et al. (2026) 'Mixed-effects additive Bayesian networks for the assessment of ruptured intracranial aneurysms : insights from multicenter data', Computers in Biology and Medicine, 201(111380). doi: 10.1016/j.compbiomed.2025.111380.
Delucchi, M. et al. (2024) 'Additive Bayesian networks', Journal of Open Source Software, 9(101), p. 6822. doi: 10.21105/joss.06822.
Marth, A. A. et al. (2024) 'Activation patterns of rotator-cuff muscles from quantitative IVIM DWI after physical testing', European Radiology Experimental, 8(96). doi: 10.1186/s41747-024-00487-5.
Morel, S. et al. (2022) 'Intracranial aneurysm classifier using phenotypic factors : an international pooled analysis', Journal of Personalized Medicine, 12(9), p. 1410. doi: 10.3390/jpm12091410.
Delucchi, M. et al. (2022) 'Bayesian network analysis reveals the interplay of intracranial aneurysm rupture risk factors', Computers in Biology and Medicine, 147(105740). doi: 10.1016/j.compbiomed.2022.105740.
Spinner, G. R., Federau, C. and Kozerke, S. (2021) 'Bayesian inference using hierarchical and spatial priors for intravoxel incoherent motion MR imaging in the brain : analysis of cancer and acute stroke', Medical Image Analysis, 73(102144). doi: 10.1016/j.media.2021.102144.

Written conference contributions, peer-reviewed

Bührer, L. et al. (2026) 'Mapping the interplay of clinical risk factors in intracranial aneurysms using Additive Bayesian Networks', in European Causal Inference Meeting (euroCIM), Oxford, United Kingdom, 14-17 April 2026. ZHAW Zurich University of Applied Sciences. doi: 10.21256/zhaw-36581.
Bijlenga, P. et al. (2025) 'Introducing Bayesian analysis for clinicians : sex-associated risk assessment of intracranial aneurysms', in Esposito, G. et al. (eds). Cham: Springer, pp. 19–26. doi: 10.1007/978-3-031-89844-0_3.
Delucchi, M. et al. (2024) 'Insights from a multicenter Bayesian network study for advancing unruptured intracranial aneurysm management', in 8th International Conference on Computational and Mathematical Biomedical Engineering (CMBE), Arlington, VA, USA, 24-26 June 2024. Computational & Mathematical Biomedical Engineering.
Delucchi, M. et al. (2023) 'An explainable multicentric analysis for understanding the aetiology of intracranial aneurysm disease', in Clinical and Translational Neuroscience. MDPI, pp. 46–47. doi: 10.3390/ctn7040039.
Delucchi, M. et al. (2022) 'Bayesian networks to disentangle the interplay of intracranial aneurysm rupture risk factors', in Nithiarasu, P. and Vergara, C. (eds) CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering. Computational & Mathematical Biomedical Engineering, pp. 22–25.
Spinner, G. R. et al. (2022) 'Survival analysis of intracranial aneurysm rupture to study the influence of clinical risk factors : towards a dynamic disease model', in Nithiarasu, P. and Vergara, C. (eds) CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering. Computational & Mathematical Biomedical Engineering, pp. 72–75.