Prof. Dr. Sven Hirsch

ZHAW Life Sciences und Facility Management
Fachstelle Computational Health
Schloss 1
8820 Wädenswil

+41 (0) 58 934 54 44
sven.hirsch@zhaw.ch

Arbeit an der ZHAW

Tätigkeit

Arbeits- und Forschungsschwerpunkte

Digital Patient Twin, Biomedizinische Simulation und Modellierung, Digital Health
Medizinische Bildanalyse & Diagnostik Systeme, Modellierung biomedizinischer Prozesse, Datenintegration, maschinelles Lernen, Sensor- und Zeitreihenanalyse
Ästhetik der Digitalisierung und ihre Implikation für die Gesellschaft, Wissenschaftlicher Kurator der Stiftung Insel Hombroich

Lehrtätigkeit

Berufserfahrung

Promotionsrecht UZH
Universität Zürich
12 / 2023 - heute
Leiter Center for Computational Health
ZHAW, Institute of Computational Life Sciences
01 / 2022 - heute
Leiter Biomedizinsche Simulation
ZHAW, Institut für angewandte Simulation
09 / 2013 - 12 / 2021
Künstler (a.k.a Sven Mann) in Medien- und Klangkunst
freischaffend
01 / 2000 - 09 / 2019
Senior Foresight Consultant, Leiter Quantifizierung
Z_punkt, The foresight company
05 / 2008 - 06 / 2017
Leiter Biomedical Simulation
ETH Zürich, Institut für Bildwissenschaften (Prof. Székely)
07 / 2008 - 08 / 2013
Projektleiter Holographische Vermessung
ViRad Imaging/Uniklinik Düsseldorf/caesar Bonn
02 / 2007 - 08 / 2008
Wissenschaftl. Assistent Holographische Gesichtsvermessung
Kantonspital Basel
10 / 2003 - 01 / 2007

Aus- und Weiterbildung

Ausbildung

Promotion / Laser Physik
Universität Düsseldorf
09 / 2003 - 01 / 2007
Postgradualer Master / Audiovisuelle Medien
Kunsthochschule für Medien, Köln
09 / 1999 - 09 / 2002
Diplom Physiker, Digitale Bildverarbeitung und Physiologie / Physik
Universität Heidelberg
09 / 1993 - 07 / 1998
Vordiplom / Physik
Universität Mainz
10 / 1991 - 08 / 1993

Weiterbildung

CAS Leadership & Governance for Higher Education
Universität Zürich
07 / 2023
Professor ZFH
ZHAW
06 / 2016
CAS Hochschuldidaktik
PH Zürich
07 / 2015
PhD Laserphysik
Heinrich Heine Universität Düsseldorf
01 / 2007

Netzwerk

Mitglied in Netzwerken

Auszeichnungen

prix sante neXt 23
sante neXt
05 / 2023

Social Media

Medienpräsenz

Prix SaneneXt

Projekte

Publikationen

Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed

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), S. 634.

Verfügbar unter: 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).

Verfügbar unter: 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).

Verfügbar unter: 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), S. 1410.

Verfügbar unter: 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).

Verfügbar unter: 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), S. 215-218.

Verfügbar unter: 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), S. 1303-1313.

Verfügbar unter: 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), S. 2261-2270.

Verfügbar unter: 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), S. 538-546.

Verfügbar unter: 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), S. 553-566.

Verfügbar unter: 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), S. 141-150.

Verfügbar unter: 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), S. 5787-5800.

Verfügbar unter: 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).

Verfügbar unter: 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.

Verfügbar unter: 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), S. 2105-2112.

Verfügbar unter: 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), S. 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), S. 220-249.

Verfügbar unter: 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), S. 4-15.

Verfügbar unter: 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), S. 363-374.

Verfügbar unter: https://doi.org/10.1108/FS-09-2012-0064

Konferenzbeiträge, peer-reviewed

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.

S. 46-47.

Verfügbar unter: 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, 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.
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, 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. 14-17.

Verfügbar unter: 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, 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 & Mathematical Biomedical Engineering.

S. 703-705.

Verfügbar unter: 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, 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.
Juchler, Norman; Bijlenga, Philippe; Hirsch, Sven,

2022.

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

S. 84-86.

Verfügbar unter: 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.

Verfügbar unter: 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.

S. 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.

S. 160.

Verfügbar unter: 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., Hrsg.,

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.

S. 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.

S. 544-551.

Lecture Notes in Computer Science ; 9350.

Verfügbar unter: 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.

S. 1393-1397.

Verfügbar unter: 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.

S. 95-105.

Lecture Notes in Computer Science ; 8789.

Verfügbar unter: 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.

S. 89-96.

Lecture Notes in Computer Science ; 8674.

Verfügbar unter: 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.

S. 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.

S. 711-714.

Verfügbar unter: https://doi.org/10.1109/EMBC.2013.6609599

Weitere Publikationen

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), S. 80-81.

Verfügbar unter: 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.

Verfügbar unter: https://doi.org/10.21256/zhaw-24219
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), S. 254.

Verfügbar unter: https://doi.org/10.1038/s41588-020-00760-4
Bijlenga, Philippe; Morel, Sandrine; Hirsch, Sven; Schaller, Karl; Rüfenacht, Daniel,

2019.

Plea for an international Aneurysm Data Bank : description and perspectives.

Neurosurgical Focus.

47(1), S. E17.

Verfügbar unter: https://doi.org/10.3171/2019.4.FOCUS19185
Juchler, Norman; Schilling, Sabine; Vartan, Kurtcuoglu; Hirsch, Sven,

2016.

Shape-based assessment of intracranial aneurysm disease status [Poster].

In:

ZNZ Symposium 2016, Zurich, 15. September 2016.

Mündliche Konferenzbeiträge und Abstracts

Musio, Fabio; Juchler, Norman; Yang, Kaiyuan; Menze, Björn; Hirsch, Sven,

2023.

Circle of Willis configurations in stroke patients.

In:

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

In:

Life in Numbers 4, Wädenswil, 4 October 2018.
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.

In:

8th World Congress of Biomechanics (WCB2018), Dublin, Ireland, 8-12 July 2018.
Juchler, Norman; Schilling, Sabine; Rüfenacht, Daniel; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven,

2018.

Aneurysm shape as a diagnostic tool.

In:

Kick-Off Event: PhD Network in Data Science, Winterthur, 13. April 2018.
Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan; Hirsch, Sven,

2018.

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

In:

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.

In:

iNEW, Zürich, 8. Februar 2018.
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.
Bijlenga, Philippe; Hirsch, Sven,

2015.

Intracranial aneurysms rupture risk clinical assessment.

In:

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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