Prof. Dr. Sven Hirsch
Prof. Dr. Sven Hirsch
ZHAW
Life Sciences und Facility Management
Fachstelle Computational Health
Schloss 1
8820 Wädenswil
Arbeit an der ZHAW
Tätigkeit
Lehrtätigkeit
- Dozent BSc Applied Digital Life Sciences
- Dozent, MSc Computational Life Sciences
- Dozent Universität Zürich (UHZ)
Aus- und Weiterbildung
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
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
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
Mitglied in Netzwerken
- ZHAW digital health lab
- Swiss Neuro Foundation
- Center for Applied Biotechnology and Molecular Medicine
- Stifung Insel Hombroich
- Department of Quantitative Biomedicine, University of Zurich
Auszeichnungen
prix sante neXt 23
sante neXt
05 / 2023
Social Media
Medienpräsenz
Projekte
- Stroke DynamiX / Stellv. ProjektleiterIn / Projekt laufend
- Digital Health Zurich – Ein Praxislabor für patientenzentrierte klinische Innovation / ProjektleiterIn / Projekt laufend
- Smart Hospital – Integrated Framework, Tools & Solutions (SHIFT) / ProjektleiterIn / Projekt laufend
- OSR4H – Open Set Recognition for Hematology / Stellv. ProjektleiterIn / Projekt abgeschlossen
- Deep Brain Vessel Profiler / Stellv. ProjektleiterIn / Projekt abgeschlossen
- Automated Release Testing System (ARTS) / Teammitglied / Projekt abgeschlossen
- Digitale Simulation zur individualisierten Fertigung von 3D Nanofaserfilter und Integration in Vollschutzanzug für Pandemiefälle / Stellv. ProjektleiterIn / Projekt abgeschlossen
- Platform Health / ProjektleiterIn / Projekt abgeschlossen
- Radiosands / ProjektleiterIn / Projekt abgeschlossen
- BISTOM - Bayesian Inference with Stochastic Models / Stellv. ProjektleiterIn / Projekt abgeschlossen
- A cloud-based IoT approach for food safety and quality prediction / ProjektleiterIn / Projekt abgeschlossen
- PhD Network in Data Science / Teammitglied / Projekt abgeschlossen
- AneuX / ProjektleiterIn / Projekt abgeschlossen
- Monitoring der Lebensmitteltemperatur / ProjektleiterIn / Projekt abgeschlossen
- Intracranial Aneurysm Database / ProjektleiterIn / Projekt abgeschlossen
Publikationen
-
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.
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.
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
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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.
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
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Juchler, Norman; Schilling, Sabine; Glüge, Stefan; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan; Hirsch, Sven,
2020.
Computer Methods in Biomechanics and Biomedical Engineering : Imaging & Visualization.
8(5), S. 538-546.
Verfügbar unter: https://doi.org/10.1080/21681163.2020.1728579
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Detmer, Felicitas J.; Mut, Fernando; Slawski, Martin; Hirsch, Sven; Bijlenga, Philippe; Cebral, Juan R.,
2020.
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
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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
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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.
Neurosurgical Focus.
47(1).
Verfügbar unter: https://doi.org/10.3171/2019.4.FOCUS19145
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Detmer, Felicitas J.; Fajardo-Jiménez, Daniel; Mut, Fernando; Juchler, Norman; Hirsch, Sven; Pereira, Vitor Mendes; Bijlenga, Philippe; Cebral, Juan R.,
2018.
Acta Neurochirurgica.
Verfügbar unter: https://doi.org/10.1007/s00701-018-3712-8
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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
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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.
Medical Image Analysis.
19(1), S. 220-249.
Verfügbar unter: https://doi.org/10.1016/j.media.2014.09.007
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Gessat, Michael; Hopf, Raoul; Pollok, Thomas; Russ, Christoph; Frauenfelder, Thomas; Sundermann, Simon Harald; Hirsch, Sven; Mazza, Edoardo; Szekely, Gabor; Falk, Volkmar,
2014.
IEEE Transactions on Biomedical Engineering.
61(1), S. 4-15.
Verfügbar unter: https://doi.org/10.1109/TBME.2013.2273496
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Hirsch, Sven; Burggraf, Paul; Daheim, Cornelia,
2013.
Foresight.
15(5), S. 363-374.
Verfügbar unter: https://doi.org/10.1108/FS-09-2012-0064
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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.
In:
MDPI.
S. 46-47.
Verfügbar unter: https://doi.org/10.3390/ctn7040039
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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.
-
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
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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.
-
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
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Watanabe, Kazuhiro; Anzai, Hitomi; Juchler, Norman; Hirsch, Sven; Ohta, Makoto,
2020.
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
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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
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Schilling, Sabine; Morel, Sandrine; Bochaton-Piallat, Marie-Luce; Kwak, Brenda; Hirsch, Sven,
2017.
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.
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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.
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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
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Koltukluoglu, Taha Sabri; Hirsch, Sven; Binter, Christian; Kozerke, Sebastian; Szekely, Gabor; Laadhari, Aymen,
2015.
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
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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
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Hirsch, Sven; Egger, Julian; Wanke, Isabel; Kulcsar, Zsolt; Rüfenacht, Daniel,
2013.
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.
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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
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Gerber, Nicole; Fieseler, Lars; Hirsch, Sven; Neutsch, Lukas; Papadopoulou, Athina; Smits, Theo,
2022.
Clinicum.
2022(6), S. 80-81.
Verfügbar unter: https://doi.org/10.21256/zhaw-26376
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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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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.
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.
-
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.
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.
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.
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Neufeld, Esra; Wissmann, Phillipp; Szczerba, Dominik; Teixeira, Frederico; Hirsch, Sven; Kuster, Niels,
2015.
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.
Publikationen vor Tätigkeit an der ZHAW
S Hirsch, P Burggraf, C Daheim. Scenario Planning with Integrated Quantification – Managing Uncertainty in Corporate Strategy Building. Foresight (2013)
S Hirsch, C Daheim. The meaning of clean electricity. Yearbook World Future Society (2012)
S Hirsch, P Burggraf. Quantifizierte Szenarien. Zukunftsmanager, online Publikation (2012)
S Hirsch, C Daheim. Zur Zukunft der Stromversorgung. Swissfuture (2011)
Christoph Russ, Simon Sündermann, Sven Hirsch, Volkmar Falk, Gabor Székely, Michael Gessat. On the Effect of Anatomy-based Multi-material Model Simulation of the Aortic Root. 4th International Workshop on Computational Phantoms for Radiation Protection, Imaging and Radiotherapy (2013)
Julien Egger, Ajit S. Mallik, Dominik Szczerba, Daniel A. Rüfenacht, Gabor Székely, Sven Hirsch. Spatial stabilization strategies applied to multiphysics modeling of blood clotting using a modified PTT model. International Conference on Computational Science, ICCS 2013 (2013)
Kulcsár Z, Augsburger L, Reymond P, Pereira VM, Hirsch S, Mallik AS, Millar J, Wetzel SG, Wanke I, Rüfenacht DA. Flow diversion treatment: intra-aneurismal blood flow velocity and WSS reduction are parameters to predict aneurysm thrombosis. Acta Neurochir (Wien) (2012)
Matthias Schneider, Johannes Reichold, Bruno Weber, Gábor Székely, Sven Hirsch. Tissue Metabolism Driven Arterial Tree Generation. Medical Image Analysis (2012)
Sven Hirsch, Johannes Reichold, Matthias Schneider, Gábor Székely, Bruno Weber. Topology and hemodynamics of the cortical cerebrovascular system. J Cereb Blood Flow Metab (2012)
S. Hirsch, B. Lloyd, D. Szczerba, G. Székely. A Multiscale Simulation Framework for Modeling Solid Tumor Growth with an Explicit Vessel Network. Multiscale Cancer Imaging, T. Deisboeck and G. Stamatsakos, Ed., Chapman & Hall /CRC (2010)
Matthias Schneider, Sven Hirsch, Gábor Székely, Bruno Weber, Bjoern H. Menze. Oblique Random Forests for 3-D Vessel Detection Using Steerable Filters and Orthogonal Subspace Filtering. MICCAI Workshop on Medical Computer Vision 2012 (2012)
Matthias Schneider, Sven Hirsch, Bruno Weber, Gábor Székely. Physiologically Based Construction of Optimized 3-D Arterial Tree Models. MICCAI 2011 (2011)
Bryn A. Lloyd, Sven Hirsch, Gabor Székely. Optimization of Case-specific Vascular Tree Models Based on Vessel Size Imaging. Proceedings of the 5th International Symposium on Biomedical Simulation - ISBMS10 (2010)
Sven Hirsch, Dominik Szczerba, Bryn Lloyd, Michael Bajka, Niels Kuster, Gabor Székely. A Mechano-Chemical Model of a Solid Tumor for Therapy Outcome Predictions. Computational Science - ICCS 2009 (2009)
F Prieels, S Hirsch, P Hering. Holographic topometry for a dense visualisation of soft tissue for facial reconstruction. Forensic Science, Medicine and Pathology (2009)
S Hirsch. Holographie als Messtechnik in der Medizin. Das holographische Wissen, Ed. Schröter und Rieger, diaphanes, Berlin, (2009)
A Thelen, S Frey, S Hirsch, P Hering. Improvements in shape-from-focus for holographic reconstructions with regard to focus operators, neighborhood-size, and height value interpolation. IEEE Trans Image Process, Vol.18, No.1 (2009)
S Hirsch. Digital and Analog Hologram Tomography for Medical Applications. Dissertation, Heinrich-Heine Universität Düsseldorf (2007)
S Hirsch et al. Single-Pulsed Digital Holographic Topometry Novel Optical Instrumentation for Biomedical Applications. Proc. SPIE Int. Soc. Opt. Eng. 6631, 66310I (2007)
S Hirsch et al. Ultrafast Holographic 3D Facial Topometry and Digital Reconstruction. In: Buzug et al. (Eds); Facial Reconstruction - Gesichtsrekonstruktion, BKA series: Police and Research 35 (2007)
S Heintz, S Hirsch, A Thelen, P Hering. Three-dimensional surface measurement using digital holography with pulsed lasers. Advances in Medical Engineering, Vol. 114, pp. 435-440 (2007)
S Frey, A Thelen, S Hirsch, P Hering. Generation of digital textured surface models from hologram recordings. Applied Optics, Vol. 46, No. 11, pp. 1986-1993 (2007)
R Bakanas, GA Gudaitis, SJ Zacharovas, DB Ratcliffe, S Hirsch, S Frey, A Thelen, N Ladriere, P Hering. Using a portable holographic camera in cosmetology. Journal of Optical Technology, Vol. 73, No. 7, pp. 457-461 (2006)
S Frey, A Thelen, S Hirsch, P Hering. Shape measurement using pulsed optical holography. Laser Technik Journal, No. 1, pp. 42-45 (2006)
K Schwenzer-Zimmerer, S Hirsch, T Seewald, P Hering. Holographic facial capturing for baby cleft patients. Journal of Cranio-Maxillofacial Surgery 34(1):119-119 (2006)
S Hirsch, et. al. Facial topometry using pulsed holography. In: Advances in Display Holography, Proceedings of the 7th International Symposium on Display Holography (2006)
N Ladriere, S Frey, A Thelen, S Hirsch, J Bongartz, D Giel, P Hering. Ultraschnelle holografische Gesichtsprofilvermessung mit vollautomatischer Hologrammentwicklung
Aktuelle Methoden der Laser-und Medizinphysik, 272-274 (2005)
S Frey, H Gill-Robinson, A Thelen, S Hirsch, N Ladriere, P Hering. Holographic surface imaging for archaeological applications, J. Biol. Res 80, 39-41 (2005)
M Hoch, S Mann. Fuzzy-Based Person Tracking in Real-Time. Computer Graphics International, 201-208 (2000)
D Uttenweiler, C Veigel, R Steubing, C Goetz, S Mann, H Haußecker, B Jaehne, & RHA Fink. Motion determination in actin filament !uorescence images with a spatio-temporal orientation analysis method. Biophys. J., 78: 2709-2715 (2000)
D Uttenweiler, C Veigel, R Steubing, C Goetz, S Mann, H Haußecker, B Jaehne, & RHA Fink. A spatio-temporal orientation method for analyzing actin filament sliding velocity in the in vitro motility assay. Biophys. J., 78(1):1474 (2000)
M Hoch, S Mann. Fuzzy-Based Person Tracking in Real-Time. Computer Graphics International, 201-208 (2000)
S Mann. Objektbasierte Bildfolgenanalyse zur Bewegungsbestimmung im in vitro Motility Assay unter Verwendung eines Strukturtensorverfahrens. Diplomarbeit (1998)