Dr. Dr. Georg Spinner

Arbeit an der ZHAW

Tätigkeit

Dozent, Leitung Forschungsgruppe Medical Image Analysis & Data Modelling

Netzwerk

Mitglied in Netzwerken

• ZHAW Digital
• International Stroke Genetics Consortium
• ZHAW Datalab
• ZHAW Digital Health Lab

ORCID digital identifier

ORCID ID: 0000-0001-9640-8155

Projekte

• GEMINI: Mehrskalige digitale Zwillinge (Digital Twins) für Patient:innen mit ischämischem oder hämorrhagischem Schlaganfall / Teammitglied / laufend
• Stroke DynamiX – Graphische und kausale Netzwerke für das personalisierte Schlaganfallmanagement / Projektleiter:in / laufend
• Digital Health Zurich: ein Praxislabor für patientenzentrierte klinische Innovation / Teammitglied / laufend
• IVIM: Muskelaktivierung in der Schulter / Projektleiter:in / abgeschlossen
• Modellierung multizentrischer und dynamischer Schlaganfall Gesundheitsdaten / Projektleiter:in / abgeschlossen
• Datengetriebene Entscheidungsunterstützung bei intrakraniellen Aneurysmen und in der Spitalgastronomie mittels Bayes'schen Netzwerken / Projektleiter:in / abgeschlossen
• Evaluation von Methoden der Bayes'schen Modellierung für die Digitale Gesundheit / Projektleiter:in / abgeschlossen

Publikationen

Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed

• Delucchi, M., Bijlenga, P., Morel, S., Furrer, R., Hostettler, I. C., Bakker, M. K., Bourcier, R., Lindgren, A., Maschke, S., Bozinov, O., Houlden, H., Werring, D., Ruigrok, Y. M., Wostrack, M., Meyer, B., Neidert, M. C., Hirsch, S., & Spinner, G. R. (2026). Mixed-effects additive Bayesian networks for the assessment of ruptured intracranial aneurysms : insights from multicenter data. Computers in Biology and Medicine, 201(111380). https://doi.org/10.1016/j.compbiomed.2025.111380
• Delucchi, M., Liechti, J. I., Spinner, G., & Furrer, R. (2024). Additive Bayesian networks. Journal of Open Source Software, 9(101), 6822. https://doi.org/10.21105/joss.06822
• Marth, A. A., Spinner, G., von Deuster, C., Sommer, S., Sutter, R., & Nanz, D. (2024). Activation patterns of rotator-cuff muscles from quantitative IVIM DWI after physical testing. European Radiology Experimental, 8(96). https://doi.org/10.1186/s41747-024-00487-5
• Morel, S., Hostettler, I. C., Spinner, G. R., Bourcier, R., Pera, J., Meling, T., Alg, V., Houlden, H., Bakker, M., van’t Hof, F., Rinkel, G., Foroud, T., Lai, D., Moomaw, C., Worrall, B., Caroff, J., Constant-dits-Beaufils, P., Karakachoff, M., Rimbert, A., et al. (2022). Intracranial aneurysm classifier using phenotypic factors : an international pooled analysis. Journal of Personalized Medicine, 12(9), 1410. https://doi.org/10.3390/jpm12091410
• Delucchi, M., Spinner, G., Scutari, M., Bijlenga, P., Morel, S., Friedrich, C. M., Furrer, R., & Hirsch, S. (2022). Bayesian network analysis reveals the interplay of intracranial aneurysm rupture risk factors. Computers in Biology and Medicine, 147(105740). https://doi.org/10.1016/j.compbiomed.2022.105740
• Spinner, G. R., Federau, C., & 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). https://doi.org/10.1016/j.media.2021.102144

Schriftliche Konferenzbeiträge, peer-reviewed

• Bijlenga, P., Spinner, G., Scutari, M., Delucchi, M., & Hirsch, S. (2025). Introducing Bayesian analysis for clinicians : sex-associated risk assessment of intracranial aneurysms (G. Esposito, Y. Kaku, M. Sebök, L. Regli, & T. Tsukahara, Eds.; pp. 19–26) [Conference paper]. Springer. https://doi.org/10.1007/978-3-031-89844-0_3
• Delucchi, M., Spinner, G., Furrer, R., Bijlenga, P., & Hirsch, S. (2024, June). Insights from a multicenter Bayesian network study for advancing unruptured intracranial aneurysm management. 8th International Conference on Computational and Mathematical Biomedical Engineering (CMBE), Arlington, VA, USA, 24-26 June 2024.
• Delucchi, M., Spinner, G. R., Bijlenga, P., Morel, S., Hostettler, I., Werring, D., Wostrack, M., Meyer, B., Bourcier, R., Lindgren, A., Bakker, M. K., Ruigrok, Y. M., Furrer, R., & Hirsch, S. (2023). An explainable multicentric analysis for understanding the aetiology of intracranial aneurysm disease [Conference poster]. Clinical and Translational Neuroscience, 7(4), 46–47. https://doi.org/10.3390/ctn7040039
• Delucchi, M., Spinner, G. R., Scutari, M., Bijlenga, P., Morel, S., Friedrich, C. M., & Hirsch, S. (2022). Bayesian networks to disentangle the interplay of intracranial aneurysm rupture risk factors [Conference paper]. In P. Nithiarasu & C. Vergara (Eds.), CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering (Vol. 2022, Issue 1, pp. 22–25). Computational and Mathematical Biomedical Engineering.
• Spinner, G. R., Delucchi, M., Morel, S., Bijlenga, P., & Hirsch, S. (2022). Survival analysis of intracranial aneurysm rupture to study the influence of clinical risk factors : towards a dynamic disease model [Conference paper]. In P. Nithiarasu & C. Vergara (Eds.), CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering (Vol. 1, pp. 72–75). Computational and Mathematical Biomedical Engineering.

Weitere Publikationen

• Bachmann, J., Delgado, M., Schuepbach, R. A., Bartussek, J., & Spinner, G. R. (2025). Analysis of delirium in intensive care patients using Bayesian networks. medRxiv. https://doi.org/10.1101/2025.09.23.25336328
• Bührer, L., Bijlenga, P., Delucchi, M., Furrer, R., Spinner, G., & Hirsch, S. (2024, September 3). Modelling the burden of disease of intracanial aneurysms. 6th Digital Health Lab Day, Winterthur, Switzerland, 3 September 2024. https://doi.org/10.21256/zhaw-33654
• Spinner, G., & Gerber, N. (2022). Datengetriebene Entscheidungsunterstützung mittels Bayes’scher Netzwerke. TRANSFER Spezial, 20. https://doi.org/10.21256/zhaw-25930
• Spinner, G., & Gerber, N. (2022). Bayesian network analysis for data-driven decision support. TRANSFER Special, 20. https://doi.org/10.21256/zhaw-25931
• Suter, S., Spinner, G., Hoelz, B., Rey, S., Thanabalasingam, S., Eckstein, J., & Hirsch, S. (2022). Visualization and analysis of wearable health data from COVID-19 patients. arXiv. https://doi.org/10.21256/zhaw-24219

Mündliche Konferenzbeiträge und Abstracts

Bührer, L., Bakker, M., Bijlenga, P., Furrer, R., Hirsch, S., Morel, S., & Spinner, G. (2025, May 16). Bayesian network analysis of SNPs rs11153071 and rs2107597 and clinical risk factors in intracranial aneurysms. 32nd Workshop of the International Stroke Genomics Consortium, Gothenburg, Sweden, 14-16 May 2025.

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