Georg Spinner PhD, MD

Work at ZHAW

Position

Lecturer, Head research group Medical Image Analysis & Data Modelling

Network

Membership of networks

• ORCID ID: 0000-0001-9640-8155

Projects

• Stroke DynamiX / Project leader / Project ongoing
• Digital Health Zurich – A practice lab for patient-centred clinical innovation / Team member / Project ongoing
• Modeling of multicentric and dynamic stroke health data / Project leader / Project ongoing
• Data-driven decision support for intracranial aneurysms and hospital catering using Bayesian networks / Project leader / Project completed
• Evaluation von Methoden der Bayes'schen Modellierung für die Digitale Gesundheit / Project leader / Project completed

Publications

• Delucchi, Matteo; Spinner, Georg; Scutari, Marco; Bijlenga, Philippe; Morel, Sandrine; Friedrich, Christoph M.; Furrer, Reinhard; Hirsch, Sven,

  2022.

  Bayesian network analysis reveals the interplay of intracranial aneurysm rupture risk factors.

  Computers in Biology and Medicine.

  147(105740).

  Available from: https://doi.org/10.1016/j.compbiomed.2022.105740

• Morel, Sandrine; Hostettler, Isabel C.; Spinner, Georg R.; Bourcier, Romain; Pera, Joanna; Meling, Torstein; Alg, Varinder; Houlden, Henry; Bakker, Mark; van’t Hof, Femke; Rinkel, Gabriel; Foroud, Tatiana; Lai, Dongbing; Moomaw, Charles; Worrall, Bradford; Caroff, Jildaz; Constant-dits-Beaufils, Pacôme; Karakachoff, Matilde; Rimbert, Antoine; Rouchaud, Aymeric; Gaal-Paavola, Emilia; Kaukovalta, Hanna; Kivisaari, Riku; Laakso, Aki; Jahromi, Behnam; Tulamo, Riikka; Friedrich, Christoph; Dauvillier, Jerome; Hirsch, Sven; Isidor, Nathalie; Kulcsàr, Zolt; Lövblad, Karl; Martin, Olivier; Machi, Paolo; Mendes Pereira, Vitor; Rüfenacht, Daniel; Schaller, Karl; Schilling, Sabine; Slowik, Agnieszka; Jaaskelainen, Juha; von und zu Fraunberg, Mikael; Jiménez-Conde, Jordi; Cuadrado-Godia, Elisa; Soriano-Tárraga, Carolina; Millwood, Iona; Walters, Robin; The @neurIST project; The ICAN Study Group; Genetics and Observational Subarachnoid Haemorrhage (GOSH) Study Investigators; International Stroke Genetics Consortium (ISGC); Kim, Helen; Redon, Richard; Ko, Nerissa; Rouleau, Guy; Lindgren, Antti; Niemelä, Mika; Desal, Hubert; Woo, Daniel; Broderick, Joseph; Werring, David; Ruigrok, Ynte; Bijlenga, Philippe,

  2022.

  Intracranial aneurysm classifier using phenotypic factors : an international pooled analysis.

  Journal of Personalized Medicine.

  12(9), pp. 1410.

  Available from: https://doi.org/10.3390/jpm12091410

• Spinner, Georg Ralph; Federau, Christian; Kozerke, Sebastian,

  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).

  Available from: https://doi.org/10.1016/j.media.2021.102144

• Delucchi, Matteo; Spinner, Georg R.; Bijlenga, Philippe; Morel, Sandrine; Hostettler, Isabel; Werring, David; Wostrack, Maria; Meyer, Bernhard; Bourcier, Romain; Lindgren, Antti; Bakker, Mark K.; Ruigrok, Ynte M.; Furrer, Reinhard; Hirsch, Sven,

  2023.

  An explainable multicentric analysis for understanding the aetiology of intracranial aneurysm disease [poster].

  In:

  MDPI.

  pp. 46-47.

  Available from: https://doi.org/10.3390/ctn7040039

• Delucchi, Matteo; Spinner, Georg Ralph; Scutari, Marco; Bijlenga, Philippe; Morel, Sandrine; Friedrich, Christoph M.; Hirsch, Sven,

  2022.

  Bayesian networks to disentangle the interplay of intracranial aneurysm rupture risk factors [paper].

  In:

  Nithiarasu, Perumal; Vergara, Christian, eds.,

  CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering.

  7th International Conference on Computational and Mathematical Biomedical Engineering (CMBE22), Milan, Italy, 27-29 June 2022.

  Computational and Mathematical Biomedical Engineering.

  pp. 22-25.

• Spinner, Georg R.; Delucchi, Matteo; Morel, Sandrine; Bijlenga, Philippe; Hirsch, Sven,

  2022.

  Survival analysis of intracranial aneurysm rupture to study the influence of clinical risk factors : towards a dynamic disease model [paper].

  In:

  Nithiarasu, Perumal; Vergara, Christian, eds.,

  CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering.

  7th International Conference on Computational and Mathematical Biomedical Engineering (CMBE22), Milan, Italy, 27-29 June 2022.

  Computational and Mathematical Biomedical Engineering.

  pp. 72-75.

• Suter, Susanne; Spinner, Georg; Hoelz, Bianca; Rey, Sofia; Thanabalasingam, Sujeanthraa; Eckstein, Jens; Hirsch, Sven,

  2022.

  Visualization and analysis of wearable health data from COVID-19 patients.

  arXiv.

  Available from: https://doi.org/10.21256/zhaw-24219

• Spinner, Georg; Gerber, Nicole,

  2022.

  Bayesian network analysis for data-driven decision support.

  TRANSFER Special.

  pp. 20.

  Available from: https://doi.org/10.21256/zhaw-25931

• Spinner, Georg; Gerber, Nicole,

  2022.

  Datengetriebene Entscheidungsunterstützung mittels Bayes’scher Netzwerke.

  TRANSFER Spezial.

  pp. 20.

  Available from: https://doi.org/10.21256/zhaw-25930

go back