Prof. Dr. Sven Hirsch

Management role

• Head of Research/Focus Area, ZHAW digital health lab
• Head, Biomedical Simulation Lab

Position at the ZHAW

Professor for modeling of complex systems

http://www.zhaw.ch/ias/biomed

Expertise and research interests

Biomedical Modeling and Simulation, Digital Health

Medical imaging analysis & diagnostics systems, Modelling of biomedical processing, Data assimilation and machine intelligence, Sensor and time series analysis

Applications fields: tumor growth, blot clotting, formation of aneurysms, flow reconstruction, food safety

multi-physics multi-scale continuum models (CFD, structural mechanics, reaction models, FEM)
system dynamics

foresight methods, market forecast
sector knowledge in the fields: energy, mobility, technologies

model generation & esthetics
Implications of digital media and technology on society

Chair for Sciences in the Board of Foundation Insel Hombroich
www.inselhombroich.de

Educational background

CAS didactics for higher education (2015)

PhD laser physics, Univ. Dusseldorf (2006)
Postgrad. Master Audiovisual Media (2002)
Diploma Physics, Univ. Heidelberg (1998) - Digital image processing and physiology

Professional milestones

2016 - Professor for Modeling, ZFH
2013 - Group Leader Biomedical Simulation – Institute of applied simulation ZHAW, Wädenswil
2008 - 2013 Group Leader Biomedical Simulation – Computer vision lab (Prof. Székely), ETH Zürich
2008 - Head of Quantification, Senior Foresight Consultant, Z_punkt (http://www.z-punkt.de)
2007 - 2008 Project leader holographic topometry, ViRad Imaging/Uniklinik Düsseldorf/caesar Bonn
2004 - 2006 Assistent holographic facial topometry, Kantonspital Basel
2000 - today artist (a.k.a Sven Mann) in media and sound art

Membership of networks

• Center for Applied Biotechnology and Molecular Medicine
• Swiss Neuro Foundation
• Stifung Insel Hombroich
• SystemsX.ch

• Platform Health / Project leader / Project ongoing
• BISTOM - Bayesian Inference with Stochastic Models / Deputy project leader / Project ongoing
• A cloud-based IoT approach for food safety and quality prediction / Project leader / Project ongoing
• PhD Network in Data Science / Team member / Project ongoing
• Radiosands / Project leader / Project completed
• AneuX / Project leader / Project completed
• Monitoring der Lebensmitteltemperatur / Project leader / Project completed
• Intracranial Aneurysm Database / Project leader / Project completed

Articles in scientific journal, peer-reviewed

• 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.

  Available from: https://doi.org/10.21256/zhaw-19849

• 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/10.21256/zhaw-19549

• 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 Bio-medical Electronics.

  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

Conference contributions, peer-reviewed

• 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, United Kingdom:

  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/10.1109/ISBI.2015.7164136

• 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

Other publications

• 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.

Oral conference contributions and abstracts

• 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.

Publications before appointment at the 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)

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