Dr. Georg Spinner
Dr. Georg Spinner
ZHAW
Life Sciences und Facility Management
FG Medical Image Analysis and Data Modeling
Schloss 1
8820 Wädenswil
Persönliches Profil
Leitungsfunktion
Leitung Forschungsgruppe Medical Image Analysis & Data Modeling
Tätigkeit an der ZHAW
Dozent
www.zhaw.ch/icls/computational-health/en/
Arbeits- und Forschungsschwerpunkte, Spezialkenntnisse
Evidenzbasierte Medizin
Klinische Prognosemodelle, Medizinstatistik, maschinelles Lernen
Angewandte probabilistische Methoden
Bayes'sche Inferenz, Bayes'sche Netzwerke, kausale Inferenz
Medizinische Bildgebung
Magnetresonanztomographie, Radiologie, Deep-Learning
Aus- und Fortbildung
2023 Promotion Dr. med., Universität Zürich
2021 Eidg. Examen Humanmedizin, Universität Zürich
2021 MSc Humanmedizin, Universität Zürich
2019 Promotion Dr. sc. ETH, Institut für Biomedizinische Technik, ETH Zürich
2017 BSc Humanmedizin, Universität Zürich
2012 Masterarbeit Physik, Princeton University, USA
2012 MSc Physik, ETH Zürich
2010 BSc Physik, ETH Zürich
Beruflicher Werdegang
2019-jetzt Dozent und Projektleiter Forschung, ZHAW Wädenswil
2019 Post-Doktorand, Institut für Biomedizinische Technik, ETH Zürich
2019 Post-Doktorand/Unterassistent Beth Israel Deaconess Medical Center (Lehrspital Harvard Medical School), Boston, USA
2018, 2019 Unterassistent, Universitätsspital Zürich, Klinik Hirslanden, Spital Männedorf, Psychiatrische Universitätsklinik Zürich & Stadtspital Triemli
2013 Praktikum, SwissRe, München, Deutschland
2012 Visiting Graduate Student, Princeton University, USA
2012 Praktikum, ABB Corporate Research Center, Baden-Dättwil
2011 Praktikum, Patent- & Markenanwälte Isler & Pedrazzini, Zürich
2009, 2011 Hilfsassistent, Departement Mathematik, ETH Zürich
Mitglied in Netzwerken
Projekte
- Digital Health Zurich – Ein Praxislabor für patientenzentrierte klinische Innovation / Teammitglied / Projekt laufend
- Modellierung multizentrischer und dynamischer Schlaganfall Gesundheitsdaten / ProjektleiterIn / Projekt laufend
- Datengetriebene Entscheidungsunterstützung bei intrakraniellen Aneurysmen und in der Spitalgastronomie mittels Bayes'schen Netzwerken / ProjektleiterIn / Projekt abgeschlossen
- Evaluation von Methoden der Bayes'schen Modellierung für die Digitale Gesundheit / ProjektleiterIn / Projekt abgeschlossen
Publikationen
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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).
Verfügbar unter: https://doi.org/10.1016/j.compbiomed.2022.105740
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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), S. 1410.
Verfügbar unter: https://doi.org/10.3390/jpm12091410
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Spinner, Georg Ralph; Federau, Christian; Kozerke, Sebastian,
2021.
Medical Image Analysis.
73(102144).
Verfügbar unter: https://doi.org/10.1016/j.media.2021.102144
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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, Hrsg.,
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.
S. 22-25.
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Spinner, Georg R.; Delucchi, Matteo; Morel, Sandrine; Bijlenga, Philippe; Hirsch, Sven,
2022.
In:
Nithiarasu, Perumal; Vergara, Christian, Hrsg.,
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.
S. 72-75.
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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.
Verfügbar unter: https://doi.org/10.21256/zhaw-24219
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Spinner, Georg; Gerber, Nicole,
2022.
Bayesian network analysis for data-driven decision support.
TRANSFER Special.
S. 20.
Verfügbar unter: https://doi.org/10.21256/zhaw-25931
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Spinner, Georg; Gerber, Nicole,
2022.
Datengetriebene Entscheidungsunterstützung mittels Bayes’scher Netzwerke.
TRANSFER Spezial.
S. 20.
Verfügbar unter: https://doi.org/10.21256/zhaw-25930
Publikationen vor Tätigkeit an der ZHAW
Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed
Spinner GR, Stoeck CT, Mathez L, von Deuster C, Federau C, and Kozerke S. On probing intravoxel incoherent motion in the heart - spin‐echo versus stimulated‐echo DWI. Magn. Res. Med. 2019; 10.1002/mrm.27777
Wyss M, Manoliu A, Marcon M, Spinner G, Lüchinger R, Prüssmann KP, Andreisek G. Clinical Magnetic Resonance imaging of the Knee at 7.0 Tesla; Optimization of rat Suppression. Investigative Radiology 2018; doi:.10.1097/RLI.0000000000000523
Spinner GR, Schmidt JFM, von Deuster C, Federau C, Stoeck CT and Kozerke S. Enhancing Intravoxel incoherent Motion Parameter Mapping in the Brain Using k-b PCA. NMR Biomed 2018:31(12):e4008. doi: 10.1002/nbm.4008
Spinner GR, von Deuster C, Tezcan KC, Stoeck CT and Kozerke S. Bayesian intravoxel incoherent motion parameter mapping in the human heart. J Cardiovasc Magn Reson 2017;19(1):85. doi: 10.1186/s12968-017-0391-1
Kuhn FP, Spinner G, Del Grande F, Wyss M, Piccirelli M, Erni S, Pfister P, Ho M, BR Sah, Filli L, Ettlin DA, Gallo LM, Andreisek G and Manoliu A. MR imaging of the temporomandibular joint: comparison between acquisitions at 7.0 T using dielectric pads and 3.0 T. Dentomaxillofacial Radiology 2016;46(1):20160280. doi:10.1259/dmfr.20160280
Manoliu A, Spinner G, Wyss M, Filli L, Erni S, Ettlin DA, Ulbrich EJ, Kuhn FP, Gallo LM and Andreisek G. Comparison of a 32-channel head coil and a 2-channel surface coil for MR imaging of the temporomandibularjoint at 3.0 T. Dentomaxillofacial Radiology 2016;45(4):20150420. doi: 10.1259/dmfr.20150420
Manoliu A, Spinner G, Wyss M, Ettlin DA, Nanz D, Kuhn FP, Gallo LM and Andreisek G. Magnetic resonance imaging of the temporomandibularjoint at 7.0 T using high-permittivity dielectric pads: a feasibility study. Investigative Radiology 2015;50(12):843-849. doi: 10.1097/RLI.0000000000000196
Manoliu A, Spinner G, Wyss M, Erni S, Ettlin DA, Nanz D, Ulbrich EJ, Gallo LM and Andreisek G. Quantitative and qualitative comparison of MR imaging of the temporomandibularjoint at 1.5 and 3.0 T using an optimized high-resolution protocol. Dentomaxillofacial Radiology 2015;45(1):20150240. doi: 10.1259/dmfr.20150240
Hangauer A, Spinner G, Nikodem M and Wysocki G. High frequency modulation capabilities and quasi single-sideband emission from a quantum cascade laser. Optics express 2014;22(19):23439-23455. doi: 10.1364/OE.22.023439
Hangauer A, Spinner G, Nikodem M and Wysocki G. Chirped laser dispersion spectroscopy using a directly modulated quantum
cascade laser. Applied Physics Letters 2013;103(19):191107. doi:10.1063/1.4829036
Konferenzbeiträge, peer-reviewed, nur Erstautor
Spinner GR, Stoeck CT, Mathez L, von Deuster C, Federau C and Kozerke S. On Probing Intravoxel Incoherent Motion in the Heart using Spin Echo versus Stimulated Echo Diffusion Weighted Imaging. Proceedings of the 28th Meeting of ISMRM, Montreal, Kanada, 2019
Spinner G, Schmidt JFM and Kozerke S. Accelerating Intravoxel Incoherent Motion Mapping in the Brain using k-bpp PCA. Proceedings of the 27th Meeting of ISMRM, Paris, Frankreich, 2018
Spinner G, von Deuster C, Oebel S, Stoeck CT, Manka R and Kozerke S. Intravoxel Incoherent Motion Model in the Heart of Patients Under Adenosine Induced Stress. Proceedings of the 26th Meeting of ISMRM, Honolulu, USA, 2017
Spinner G, von Deuster C, Stoeck CT and Kozerke S. Validation of the intravoxel incoherent Motion Model in the Healthy Human Heart using Black-Blood Preparation. Proceedings of the 26th Meeting of ISMRM, Honolulu, USA, 2017
Spinner G, Schmidt JFM and Kozerke S. Accelerating Intravoxel Incoherent Motion Imaging of the Brain Using k-b PCA. Proceedings of the 25th Meeting of ISMRM, Singapur, 2016
Spinner G, von Deuster C, Stoeck CT and Kozerke S. Bayesian Intravoxel Incoherent Motion Imaging to Map Perfusion in the Human Heart. Proceedings of the 25th Meeting of ISMRM, Singapur, 2016
Spinner G, von Deuster C, Stoeck CT and Kozerke S. Bayesian Intravoxel Incoherent motion Parameter Mapping in the Human Heart. Proceedings of the 33rd Meeting of ESMRMB, Wien, Österreich, 2016
Spinner G, Schmidt JFM and Kozerke S. Accelerating Intravoxel Incoherent Motion MRI using k-b PCA. Proceedings of the 32nd Meeting of ESMRMB, Edinburgh, UK, 2015