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

• Stroke DynamiX / Deputy project leader / laufend
• Digital Health Zurich: a practice lab for patient-centred clinical innovation / Project leader / laufend
• Smart Hospital – Integrated Framework, Tools & Solutions (SHIFT) / Project leader / laufend
• OSR4H – Open Set Recognition for Hematology / Deputy project leader / abgeschlossen
• Deep Brain Vessel Profiler / Deputy project leader / abgeschlossen
• Automated Release Testing System (ARTS) / Team member / abgeschlossen
• Digital simulation for the tailored production of 3D nanofiber filters and their integration in a full protective suit for pandemic cases / Deputy project leader / abgeschlossen
• Platform Health / Project leader / abgeschlossen
• BISTOM – Bayesian Inference with Stochastic Models / Deputy project leader / abgeschlossen
• A cloud-based IoT approach for food safety and quality prediction / Project leader / abgeschlossen
• PhD Network in Data Science / Team member / abgeschlossen
• AneuX / Project leader / abgeschlossen

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

• 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

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

  2022.

  Shape trumps size : image-based morphological analysis reveals that the 3D shape discriminates intracranial aneurysm disease status better than aneurysm size.

  Frontiers in Neurology.

  13(809391).

  Available from: https://doi.org/10.3389/fneur.2022.809391

• 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

• Morel, Sandrine; Schilling, Sabine; Diagbouga, Mannekomba R.; Delucchi, Matteo; Bochaton-Piallat, Marie-Luce; Lemeille, Sylvain; Hirsch, Sven; Kwak, Brenda R.,

  2021.

  Effects of low and high aneurysmal wall shear stress on endothelial cell behavior : differences and similarities.

  Frontiers in Physiology.

  12(727338).

  Available from: https://doi.org/10.3389/fphys.2021.727338

• Eibl, Dieter; Sievers, Martin; Eibl, Regine; Bachmann, Martin; Walton, Senta; Keel, Nik; Richner, Gilles; Stübinger, Stefan; Hirsch, Sven; Yeretzian, Chahan; Opitz, Sebastian E.W.; Heldal, Trond; Adlhart, Christian,

  2021.

  Keeping SARS-CoV-2 out : vaccines, filters, and self-disinfecting textiles.

  Chimia.

  75(3), pp. 215-218.

  Available from: https://doi.org/10.2533/chimia.2021.215

• 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

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

  2020.

  Radiomics approach to quantify shape irregularity from crowd-based qualitative assessment of intracranial aneurysms.

  Computer Methods in Biomechanics and Biomedical Engineering : Imaging & Visualization.

  8(5), pp. 538-546.

  Available from: https://doi.org/10.1080/21681163.2020.1728579

• 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.

• Schneider, Matthias; Hirsch, Sven; Weber, Bruno; Székely, Gábor; Menze, Bjoern H.,

  2015.

  Joint 3-D vessel segmentation and centerline extraction using oblique Hough forests with steerable filters.

  Medical Image Analysis.

  19(1), pp. 220-249.

  Available from: https://doi.org/10.1016/j.media.2014.09.007

• Gessat, Michael; Hopf, Raoul; Pollok, Thomas; Russ, Christoph; Frauenfelder, Thomas; Sundermann, Simon Harald; Hirsch, Sven; Mazza, Edoardo; Szekely, Gabor; Falk, Volkmar,

  2014.

  Image-based mechanical analysis of stent deformation : concept and exemplary implementation for aortic valve stents.

  IEEE Transactions on Biomedical Engineering.

  61(1), pp. 4-15.

  Available from: https://doi.org/10.1109/TBME.2013.2273496

• Hirsch, Sven; Burggraf, Paul; Daheim, Cornelia,

  2013.

  Scenario planning with integrated quantification : managing uncertainty in corporate strategy building.

  Foresight.

  15(5), pp. 363-374.

  Available from: https://doi.org/10.1108/FS-09-2012-0064

• 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.

• Musio, Fabio; Yang, Kaiyuang; Shit, Suprosanna; Prabhakar, Chinmay; Juchler, Norman; Menze, Björn; Hirsch, Sven,

  2024.

  Quantitative evaluation of the Circle of Willis vascular architecture in 3D CT and MR angiography [paper].

  In:

  Nithiarasu, Perumal; Lohner, Rainald, eds.,

  CMBE24: 8th International Conference on Computational & Mathematical Biomedical Engineering.

  8th International Conference on Computational and Mathematical Biomedical Engineering (CMBE24), Arlington, VA, USA, 24-26 June 2024.

  Computational & Mathematical Biomedical Engineering.

  pp. 563-566.

  Available from: https://doi.org/10.21256/zhaw-31451

• 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

• 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.

• 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; Rüfenacht, Daniel; Kurtcuoglu, Vartan; Hirsch, Sven,

  2019.

  Understanding morphological irregularity : a rater-based study [paper].

  In:

  CMBE19 Proceedings.

  6th International Conference on Computational and Mathematical Biomedical Engineering (CMBE19), Sendai City, Japan, 10-12 June 2019.

  Cardiff:

  Zeta Computational Resources.

  pp. 583.

• 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

• Schilling, Sabine; Morel, Sandrine; Bochaton-Piallat, Marie-Luce; Kwak, Brenda; Hirsch, Sven,

  2017.

  Endothelial cell elongation under shear stress : a computational model to consolidate observed cell shape changes [paper].

  In:

  Nithiarasu, P.; Robertson, A. M., eds.,

  5th International Conference on Computational and Mathematical Biomedical Engineering, CMBE2017.

  5th International Conference on Computational and Mathematical Biomedical Engineering (CMBE2017), Pittsburgh, USA, 10-12 April 2017.

  Swansea:

  Zeta Computational Resources.

  pp. 850-852.

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

  2016.

  Shape-based assessment of intracranial aneurysm disease status – a machine learning approach [poster].

  In:

  All SystemsX.ch Day, Bern, 1 September 2016.

• 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.

• Koltukluoglu, Taha S.; Binter, Christian; Tanner, Christine; Hirsch, Sven; Kozerke, Sebastian; Székely, Gábor; Laadhari, Aymen,

  2015.

  A partial domain approach to enable aortic flow simulation without turbulent modeling [paper].

  In:

  Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 Part II.

  MICCAI, 18th International Conference, Munich, Germany, 5-9 October 2015.

  Springer.

  pp. 544-551.

  Lecture Notes in Computer Science ; 9350.

  Available from: https://doi.org/10.1007/978-3-319-24571-3_65

• Koltukluoglu, Taha Sabri; Hirsch, Sven; Binter, Christian; Kozerke, Sebastian; Szekely, Gabor; Laadhari, Aymen,

  2015.

  A robust comparison approach of velocity data between MRI and CFD based on divergence-free space projection [paper].

  In:

  2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

  2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015), New York, USA, 16-19 April 2015.

  IEEE.

  pp. 1393-1397.

  Available from: https://doi.org/10.3929/ethz-a-010542673

• Russ, Christoph; Hopf, Raoul; Sündermann, Simon H.; Born, Silvia; Hirsch, Sven; Falk, Volkmar; Székely, Gábor; Gessat, Michael,

  2014.

  Computational stent placement in transcatheter aortic valve implantation [paper].

  In:

  Biomedical Simulation.

  6th International Symposium ISBMS 2014, Strasbourg, France, 16-17 October 2014.

  Cham:

  Springer.

  pp. 95-105.

  Lecture Notes in Computer Science ; 8789.

  Available from: https://doi.org/10.1007/978-3-319-12057-7_11

• Schneider, Matthias; Hirsch, Sven; Weber, Bruno; Székely, Gábor; Menze, Bjoern H.,

  2014.

  TGIF : topological gap in-fill for vascular networks [paper].

  In:

  Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014 Part II.

  MICCAI, 17th International Conference, Boston, USA, 14-18 September 2014.

  Cham:

  Springer.

  pp. 89-96.

  Lecture Notes in Computer Science ; 8674.

  Available from: https://doi.org/10.1007/978-3-319-10470-6_12

• 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.

• Russ, Christoph; Hopf, Raoul; Hirsch, Sven; Sundermann, Simon; Falk, Volkmar; Szekely, Gabor; Gessat, Michael,

  2013.

  Simulation of transcatheter aortic valve implantation under consideration of leaflet calcification [paper].

  In:

  2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

  35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan, 3-7 July 2013.

  IEEE.

  pp. 711-714.

  Available from: https://doi.org/10.1109/EMBC.2013.6609599

• 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

• 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

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  Circle of Willis configurations in stroke patients.

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  19th Interdisciplinary Cerebrovascular Symposium, Geneva, Switzerland, 17-19 August 2023.

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  How universities can lead the transformation to digital health.

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• Hirsch, Sven; Juchler, Norman,

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

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• Juchler, Norman; Schilling, Sabine; Watanabe, Kazuhiro; Anzai, Hitomi; Rüfenacht, Daniel; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven,

  2018.

  Clinical data sharing : a data scientist's perspective.

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

  2018.

  Reproducing qualitative irregularity ratings by means of quantitative shape descriptors in intracranial aneurysms.

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  8th World Congress of Biomechanics (WCB2018), Dublin, Ireland, 8-12 July 2018.

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  Aneurysm shape as a diagnostic tool.

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  Aneurysm shape as a diagnostic tool : a machine learning approach.

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  International Neurovascular Exploratory Workshop (iNEW'2018), Zürich, 7-9 February 2018.

• Anzai, Hitomi; Juchler, Norman; Bilenga, Philippe; Rüfenacht, Daniel; Wanke, Isabel; Hirsch, Sven,

  2018.

  Correlation of CFD with wall enhancement.

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• 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.

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  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.

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

  2017.

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

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

  2017.

  Using shape descriptors to categorize intracranial aneurysms.

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

  2017.

  Where does CFD identify lesion instability in small aneurysms?.

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  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.

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• 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.

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

• Bijlenga, Philippe; Hirsch, Sven,

  2015.

  Intracranial aneurysms rupture risk clinical assessment.

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

• Egger, Julien; Szczerba, Dominik; Rüfenacht, Daniel; Szekely, Gabor; Hirsch, Sven,

  2015.

  The role of clot maturation inside intracranial aneurysms using a viscoelastic thrombosis model.

  In:

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

• Egger, Julian; Szczerba, Dominik; Rüfenacht, Daniel; Szekely, Gabor; Hirsch, Sven,

  2014.

  2D viscoelastic thrombosis model for stented aneurysms.

  In:

  7th World Congress of Biomechanics, Boston, USA, 06-11 July 2014.

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