Prof. Sven Hirsch PhD

Work at ZHAW

Position

• Director Center for Computational Health
• Director ZHAW Digital Health Lab
• Right to confer PhD UZH

Focus

• Artificial Intelligence (AI) in Medicine, Digital Patient Twin, Biomedical Modeling and Simulation, Digital Health
• Medical imaging analysis & diagnostics systems, Modelling of biomedical processes, Data assimilation and machine intelligence, Sensor and time series analysis
• Aesthetics of digitalisation and its implications on society, Chair for Sciences in the Board of Foundation Insel Hombroich

Teaching

• Lecturer BSc Applied Digital Life Sciences
• Lecturer MSc Computational Life Sciences
• Lecturer University of Zurich (UZH)

Experience

• Right to confer PhD UZH
  University Zurich
  12 / 2023 - today
• Head of Center for Computational Health
  ZHAW, Institute of Computational Life Sciences
  01 / 2022 - today
• Group Head Biomedical Simulation
  ZHAW, Institute of Applied Simulation
  09 / 2013 - 12 / 2021
• Media artist
  self-employed
  01 / 2000 - 09 / 2019
• Senior Foresight Consultant, Head of Quantification
  Z_punkt, The foresight company
  05 / 2008 - 06 / 2017
• Group Leader Biomedical Simulation
  ETH Zurich, Computer vision lab (Prof. Székely)
  07 / 2008 - 08 / 2013
• Project lead holographic topometry
  ViRad Imaging/Uniklinik Düsseldorf/caesar Bonn
  02 / 2007 - 08 / 2008
• Assistent holographic facial topometry
  Kantonspital Basel
  10 / 2003 - 01 / 2007

Education and Continuing education

Education

• PhD / Laser Physics
  University Düsseldorf
  09 / 2003 - 01 / 2007
• Postgrad. Master / Audiovisual Media
  Acedemy for Media Arts, Cologne
  09 / 1999 - 09 / 2002
• Physicist, Digital Image Processing and Physiology / Physics
  University Heidelberg
  09 / 1993 - 07 / 1998
• Vordiplom / Physics
  University Mainz
  10 / 1991 - 08 / 1993

Continuing Education

• CAS Leadership & Governance for Higher Education
  University of Zurich
  07 / 2023
• Professor
  ZHAW
  06 / 2016
• CAS didactics for higher education
  PH Zurich
  07 / 2015
• PhD Laser Physics
  Heinrich Heine University Düsseldorf
  01 / 2007

Network

ORCID digital identifier

ORCID ID: 0000-0002-5678-4110

Social media

LinkedIn

Projects

• GEMINI: A Generation of Multi-scale Digital Twins of Ischaemic and Haemorrhagic Stroke Patients / Project leader / ongoing
• Stroke DynamiX – Graphical and Causal Networks for Personalized Stroke Management / Deputy project leader / ongoing
• Digital Health Zurich: a practice lab for patient-centred clinical innovation / Project leader / ongoing
• OSR4H – Open Set Recognition for Hematology / Deputy project leader / completed
• Deep Brain Vessel Profiler / Deputy project leader / completed
• Automated Release Testing System / Team member / completed
• Digital simulation for the tailored production of 3D nanofiber filters and their integration in a full protective suit for pandemic cases / Deputy project leader / completed
• Platform Health / Project leader / completed
• BISTOM – Bayesian Inference with Stochastic Models / Deputy project leader / completed
• A cloud-based IoT approach for food safety and quality prediction / Project leader / completed
• PhD Network in Data Science / Team member / completed
• AneuX / Project leader / completed

Publications

• Reichl, J.J.; Leifke, M.; Wehrli, S.; Kunz, D.; Geissmann, L.; Broisch, S.; Illien, M.; Wellauer, D.; von Dach, N.; Diener, S.; Manser, V.; Herren, V.; Angerer, A.; Hirsch, S.; Hölz, B.; Eckstein, J.,

  2024.

  Pilot study for the development of an automatically generated and wearable-based early warning system for the detection of deterioration of hospitalized patients of an acute care hospital.

  Archives of Public Health.

  82(1), pp. 179.

  Available from: https://doi.org/10.1186/s13690-024-01409-y

• Mack, Ines; Juchler, Norman; Rey, Sofia; Hirsch, Sven; Hoelz, Bianca; Eckstein, Jens; Bielicki, Julia,

  2022.

  Wearable technologies for pediatric patients with surgical infections : more than counting steps?.

  Biosensors.

  12(8), pp. 634.

  Available from: https://doi.org/10.3390/bios12080634

• 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

• Bakker, Mark K.; van der Spek, Rick A. A.; van Rheenen, Wouter; Morel, Sandrine; Bourcier, Romain; Hostettler, Isabel C.; Alg, Varinder S.; van Eijk, Kristel R.; Koido, Masaru; Akiyama, Masato; Terao, Chikashi; Matsuda, Koichi; Walters, Robin G.; Lin, Kuang; Li, Liming; Millwood, Iona Y.; Chen, Zhengming; Rouleau, Guy A.; Zhou, Sirui; Rannikmäe, Kristiina; Sudlow, Cathie L. M.; Houlden, Henry; van den Berg, Leonard H.; Dina, Christian; Naggara, Olivier; Gentric, Jean-Christophe; Shotar, Eimad; Eugène, François; Desal, Hubert; Winsvold, Bendik S.; Børte, Sigrid; Johnsen, Marianne Bakke; Brumpton, Ben M.; Sandvei, Marie Søfteland; Willer, Cristen J.; Hveem, Kristian; Zwart, John-Anker; Verschuren, W. M. Monique; Friedrich, Christoph M.; Hirsch, Sven; Schilling, Sabine; Dauvillier, Jérôme; Martin, Olivier; Jones, Gregory T.; Bown, Matthew J.; Ko, Nerissa U.; Kim, Helen; Coleman, Jonathan R. I.; Breen, Gerome; Zaroff, Jonathan G.; Klijn, Catharina J. M.; Malik, Rainer; Dichgans, Martin; Sargurupremraj, Muralidharan; Tatlisumak, Turgut; Amouyel, Philippe; Debette, Stéphanie; Rinkel, Gabriel J. E.; Worrall, Bradford B.; Pera, Joanna; Slowik, Agnieszka; Gaál-Paavola, Emília I.; Niemelä, Mika; Jääskeläinen, Juha E.; von Und Zu Fraunberg, Mikael; Lindgren, Antti; Broderick, Joseph P.; Werring, David J.; Woo, Daniel; Redon, Richard; Bijlenga, Philippe; Kamatani, Yoichiro; Veldink, Jan H.; Ruigrok, Ynte M.,

  2020.

  Genome-wide association study of intracranial aneurysms identifies 17 risk loci and genetic overlap with clinical risk factors.

  Nature Genetics.

  52(12), pp. 1303-1313.

  Available from: https://doi.org/10.1038/s41588-020-00725-7

• Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Morel, Sandrine; Rüfenacht, Daniel; Kurtcuoglu, Vartan; Hirsch, Sven,

  2020.

  Shape irregularity of the intracranial aneurysm lumen exhibits diagnostic value.

  Acta Neurochirurgica.

  162(9), pp. 2261-2270.

  Available from: https://doi.org/10.1007/s00701-020-04428-0

• Detmer, Felicitas J.; Mut, Fernando; Slawski, Martin; Hirsch, Sven; Bijlenga, Philippe; Cebral, Juan R.,

  2020.

  Incorporating variability of patient inflow conditions into statistical models for aneurysm rupture assessment.

  Acta Neurochirurgica.

  162(3), pp. 553-566.

  Available from: https://doi.org/10.1007/s00701-020-04234-8

• Detmer, Felicitas J.; Lückehe, Daniel; Mut, Fernando; Slawski, Martin; Hirsch, Sven; Bijlenga, Philippe; von Voigt, Gabriele; Cebral, Juan R.,

  2020.

  Comparison of statistical learning approaches for cerebral aneurysm rupture assessment.

  International Journal of Computer Assisted Radiology and Surgery.

  15(1), pp. 141-150.

  Available from: https://doi.org/10.1007/s11548-019-02065-2

• Borčinová, Martina; Raschmanová, Hana; Zamora, Iwo; Looser, Verena; Marešová, Helena; Hirsch, Sven; Kyslík, Pavel; Kovar, Karin,

  2020.

  Production and secretion dynamics of prokaryotic Penicillin G acylase in Pichia pastoris.

  Applied Microbiology and Biotechnology.

  104(13), pp. 5787-5800.

  Available from: https://doi.org/10.1007/s00253-020-10669-x

• Detmer, Felicitas J.; Hadad, Sara; Chung, Bong Jae; Mut, Fernando; Slawski, Martin; Juchler, Norman; Kurtcuoglu, Vartan; Hirsch, Sven; Bijlenga, Philippe; Uchiyama, Yuya; Fujimura, Soichiro; Yamamoto, Makoto; Murayama, Yuichi; Takao, Hiroyuki; Koivisto, Timo; Frösen, Juhana; Cebral, Juan R.,

  2019.

  Extending statistical learning for aneurysm rupture assessment to Finnish and Japanese populations using morphology, hemodynamics, and patient characteristics.

  Neurosurgical Focus.

  47(1).

  Available from: https://doi.org/10.3171/2019.4.FOCUS19145

• Detmer, Felicitas J.; Fajardo-Jiménez, Daniel; Mut, Fernando; Juchler, Norman; Hirsch, Sven; Pereira, Vitor Mendes; Bijlenga, Philippe; Cebral, Juan R.,

  2018.

  External validation of cerebral aneurysm rupture probability model with data from two patient cohorts.

  Acta Neurochirurgica.

  Available from: https://doi.org/10.1007/s00701-018-3712-8

• Bijlenga, Philippe; Gondar, Renato; Schilling, Sabine; Morel, Sandrine; Hirsch, Sven; Cuony, Johanna; Corniola, Marco-Vincenzo; Perren, Fabienne; Rüfenacht, Daniel; Schaller, Karl,

  2017.

  PHASES score for the management of intracranial aneurysm.

  Stroke: A Journal of Cerebral Circulation.

  48(8), pp. 2105-2112.

  Available from: https://doi.org/10.1161/STROKEAHA.117.017391

• Daheim, Cornelia; Hirsch, Sven,

  2015.

  Emerging practices in foresight and their use in STI policy.

  STI Policy Review.

  6(2), pp. 24-53.

• Delucchi, Matteo; Spinner, Georg; Furrer, Reinhard; Bijlenga, Philippe; Hirsch, Sven,

  2024.

  Insights from a multicenter Bayesian network study for advancing unruptured intracranial aneurysm management[paper].

  In:

  8th International Conference on Computational and Mathematical Biomedical Engineering (CMBE), Arlington, VA, USA, 24-26 June 2024.

  Computational & Mathematical Biomedical Engineering.

• 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.

• Dupuy, Nicolas; Juchler, Norman; Morel, Sandrine; Kwak, Brenda R.; Hirsch, Sven; Bijlenga, Philippe,

  2022.

  Exploring intracranial aneurysm instability markers to improve disease modeling[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. 14-17.

  Available from: https://doi.org/10.21256/zhaw-25387

• Juchler, Norman; Bijlenga, Philippe; Hirsch, Sven,

  2022.

  Modeling the location-dependency of aneurysm shape : a morphometric comparative study[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 & Mathematical Biomedical Engineering.

  pp. 703-705.

  Available from: https://doi.org/10.21256/zhaw-25388

• Juchler, Norman; Bijlenga, Philippe; Hirsch, Sven,

  2022.

  The role of shape for aneurysm risk assessment[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 & Mathematical Biomedical Engineering.

  pp. 84-86.

  Available from: https://doi.org/10.21256/zhaw-25386

• Watanabe, Kazuhiro; Anzai, Hitomi; Juchler, Norman; Hirsch, Sven; Ohta, Makoto,

  2020.

  Influence of input image configurations on output of a convolutional neural network to detect cerebral aneurysms[paper].

  In:

  International Mechanical Engineering Congress and Exposition : Volume 3 - biomedical and biotechnology engineering.

  2019 International Mechanical Engineering Congress and Exposition, IMECE2019, Salt Lake City, Utah, USA, 11-14 November 2019.

  The American Society of Mechanical Engineers.

  Available from: https://doi.org/10.1115/IMECE2019-11125

• Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan; Hirsch, Sven,

  2019.

  Identification of clinically relevant characteristics of intracranial aneurysm morphology[poster].

  In:

  1. Digital Health Lab Day (Life in Numbers 5), Wädenswil, 3. October 2019.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

• Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven,

  2017.

  Measuring the perceived morphological complexity of intracranial aneurysms[poster].

  In:

  Abstract Book, 3rd International SystemsX.ch Conference on Systems Biology.

  SystemsX.ch Conference, Zurich, 4-7 September 2017.

  pp. 160.

  Available from: https://doi.org/10.3929/ethz-b-000176201

• Juchler, Norman; Schilling, Sabine; Vartan, Kurtcuoglu; Hirsch, Sven,

  2016.

  What's ugly? : shape-based analysis of intracranial aneurysms[poster].

  In:

  Latsis Symposium 2016 : Personalized Medicine, Zurich, 27-29 June 2016.

• Juchler, Norman; Ebnöther, Ueli; Schilling, Sabine; Hirsch, Sven; Kurtcuoglu, Vartan,

  2015.

  On the utility of 3D Zernike Moment Invariants to assess aneurysm disease status[poster].

  In:

  All SystemsX.ch Day, Bern, 15 September 2015.

• Hirsch, Sven; Egger, Julian; Wanke, Isabel; Kulcsar, Zsolt; Rüfenacht, Daniel,

  2013.

  Clinical relevance of mechano-biological transduction in intracranial aneurysms : the mediating role of thrombus formation and inflammatory response expressing as aneurysm shape[paper].

  In:

  CMBE13 : 3rd International Conference on Computational & Mathematical Biomedical Engineering.

  CMBE 2013, Hong Kong, , 16-18 December 2013.

  Hong Kong:

  City University of Hong Kong.

  pp. 107-110.

• Bührer, Lea; Bijlenga, Philippe; Delucchi, Matteo; Furrer, Reinhard; Spinner, Georg; Hirsch, Sven,

  2024.

  Modelling the burden of disease of intracanial aneurysms[poster].

  In:

  6th Digital Health Lab Day, Winterthur, Switzerland, 3 September 2024.

  ZHAW Zurich University of Applied Sciences.

  Available from: https://doi.org/10.21256/zhaw-33654

• Gerber, Nicole; Fieseler, Lars; Hirsch, Sven; Neutsch, Lukas; Papadopoulou, Athina; Smits, Theo,

  2022.

  Zusammenarbeit und wissenschaftlicher Austausch sind der Schlüssel zu erfolgreicher Forschung : der ZHAW Health Research Hub bringt’s unter einen Hut.

  Clinicum.

  2022(6), pp. 80-81.

  Available from: https://doi.org/10.21256/zhaw-26376

• Bakker, Mark K.; van der Spek, Rick A. A.; van Rheenen, Wouter; Morel, Sandrine; Bourcier, Romain; Hostettler, Isabel C.; Alg, Varinder S.; van Eijk, Kristel R.; Koido, Masaru; Akiyama, Masato; Terao, Chikashi; Matsuda, Koichi; Walters, Robin G.; Lin, Kuang; Li, Liming; Millwood, Iona Y.; Chen, Zhengming; Rouleau, Guy A.; Zhou, Sirui; Rannikmäe, Kristiina; Sudlow, Cathie L. M.; Houlden, Henry; van den Berg, Leonard H.; Dina, Christian; Naggara, Olivier; Gentric, Jean-Christophe; Shotar, Eimad; Eugène, François; Desal, Hubert; Winsvold, Bendik S.; Børte, Sigrid; Johnsen, Marianne Bakke; Brumpton, Ben M.; Sandvei, Marie Søfteland; Willer, Cristen J.; Hveem, Kristian; Zwart, John-Anker; Verschuren, W. M. Monique; Friedrich, Christoph M.; Hirsch, Sven; Schilling, Sabine; Dauvillier, Jérôme; Martin, Olivier; Jones, Gregory T.; Bown, Matthew J.; Ko, Nerissa U.; Kim, Helen; Coleman, Jonathan R. I.; Breen, Gerome; Zaroff, Jonathan G.; Klijn, Catharina J. M.; Malik, Rainer; Dichgans, Martin; Sargurupremraj, Muralidharan; Tatlisumak, Turgut; Amouyel, Philippe; Debette, Stéphanie; Rinkel, Gabriel J. E.; Worrall, Bradford B.; Pera, Joanna; Slowik, Agnieszka; Gaál-Paavola, Emília I.; Niemelä, Mika; Jääskeläinen, Juha E.; von Und Zu Fraunberg, Mikael; Lindgren, Antti; Broderick, Joseph P.; Werring, David J.; Woo, Daniel; Redon, Richard; Bijlenga, Philippe; Kamatani, Yoichiro; Veldink, Jan H.; Ruigrok, Ynte M.,

  2021.

  Author Correction: Genome-wide association study of intracranial aneurysms identifies 17 risk loci and genetic overlap with clinical risk factors.

  Nature Genetics.

  53(2), pp. 254.

  Available from: https://doi.org/10.1038/s41588-020-00760-4

• Bührer, Lea; Bakker, Mark; Bijlenga, Philippe; Furrer, Reinhard; Hirsch, Sven; Morel, Sandrine; Spinner, Georg,

  2025.

  Bayesian network analysis of SNPs rs11153071 and rs2107597 and clinical risk factors in intracranial aneurysms.

  In:

  32nd Workshop of the International Stroke Genomics Consortium, Gothenburg, Sweden, 14-16 May 2025.

• Melloh, Markus; Hirsch, Sven,

  2019.

  How universities can lead the transformation to digital health.

  In:

  Digital Health Conclave, Bangalore, India, 8 April 2019.

• Hirsch, Sven; Juchler, Norman,

  2019.

  Real and assumed insights : statistical models and imaging biomarkers for disease characterization of intracranial aneurysms.

  In:

  1. Digital Health Lab Day (Life in Numbers 5), Wädenswil, 3. October 2019.

• Watanabe, Kazuhiro; Anzai, Hitomi; Juchler, Norman; Hirsch, Sven; Bijlenga, Philippe; Ohta, Makoto,

  2018.

  Effect of input image representation for results of neural network to detect cerebral aneurysms.

  In:

  31st Bioengineering Conference / 2018 Annual Meeting of BED/JSME, Koriyama, Japan, 14-15 December 2018.

• Hirsch, Sven; Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel,

  2018.

  Using machine learning to identify shape biomarkers in intracranial aneurysm.

  In:

  Life Science Zurich Impact, Zürich, 22 January 2018.

• Hirsch, Sven; Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel,

  2017.

  Big Data : machine learning to identify shape biomarkers in intracranial aneurysm.

  In:

  Annual Meeting of the Swiss Society for Biomedical Engineering (SSBE), Winterthur, 30 August 2017.

• Juchler, Norman; Schilling, Sabine; Wanke, Isabel; Rüfenacht, Daniel; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven,

  2017.

  Using shape descriptors to categorize intracranial aneurysms.

  In:

  CMBE17 : 5th International Conference on Computational and Mathematical Biomedical Engineering.

  CMBE 2017, Pittsburgh PA, USA, 10-12 April 2017.

• Anzai, Hitomi; Juchler, Norman; Ohta, Makoto; Hirsch, Sven; Rüfenacht, Daniel A.; Wanke, Isabel,

  2017.

  Where does CFD identify lesion instability in small aneurysms?.

  In:

  CMBE17 : 5th International Conference on Computational and Mathematical Biomedical Engineering.

  CMBE 2017, Pittsburgh PA, USA, 10-12 April 2017.

• Juchler, Norman; Schilling, Sabine; Wanke, Isabel; Rüfenacht, Daniel; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven,

  2016.

  Shape-based modeling of aneurysmal disease status.

  In:

  ECCOMAS Congress 2016, Heraklion, Greece, 5-10 June 2016.

• Neufeld, Esra; Wissmann, Phillipp; Szczerba, Dominik; Teixeira, Frederico; Hirsch, Sven; Kuster, Niels,

  2015.

  Computational framework for personalized characterization of aneurysm physics and physiology, as well as disease progression modelling.

  In:

  9th European Solid Mechanics Conference (ESMC), Madrid, Spain, 6-10 July 2015.

Research data

Juchler, Norman; Bijlenga, Philippe; Hirsch, Sven, 2022. AneuX morphology database. Zenodo. Available from: https://doi.org/10.5281/zenodo.6678442

go back