Veröffentlichungen

  • F. Bernard, A. Husch, H. Neb, N. Vlassis, F. Hertel, P. Gemmar: Improving the Consistency of Manual Deep Brain Structure Segmentations by Combining Variational Interpolation, Simultaneous Multi-Modality Visualisation and Histogram Equilisation, 48th DGBMT Annual Conference, Oct. 8-10, 2014
  • Peter Gemmar, Florian Bernard, Andreas Husch, Pascal Martini, Klaus-Peter Koch and Frank Hertel: Computer Aided Planning and Navigation for Patient-Specific Deep Brain Stimulation, 3-Länder-Tagung D-A-CH, BMT 2013, Graz, 19.-21. September 2013
  • Florian Bernard, Christian Eric Deuter, Peter Gemmar, Hartmut Schachinger: Eyelid contour detection and tracking for startle research related eye-blink measurements from high-speed video records, Computer Methods and Programs in Biomedicine, Available online 21 July 2013, ISSN 0169-2607
  • P. Gemmar, A. Husch, F. Bernard, F. Hertel: Road Map for patient-centered 3D Planning and Navigation in Deep Brain Stimulation – Automatic Registration of STN Morphology, 8th Annual Meeting of the German Society of Neuromodulation (DGNM) Joint Meeting with the Neuromodulation Society of United Kingdom and Ireland (NSUKI), November 23-24, 2012, Berlin
  • A. Husch, F. Bernard, F. Hertel, P. Gemmar: Suite for Computer Supported Planning and Navigation in Deep Brain Stimulation (poster), 8th Annual Meeting of the German Society of Neuromodulation (DGNM) Joint Meeting with the Neuromodulation Society of United Kingdom and Ireland (NSUKI), November 23-24, 2012, Berlin
  • F. Bernard, P. Gemmar, A. Husch, F. Hertel: Improvements on the Feasibility of Active Shape Model-based Subthalamic Nucleus Segmentation; 46. DGBMT Jahrestagung der Biomedizinischen Technik, BMT 2012, Jena, 16.-19. September 2012
  • O. Gronz, M. Casper, P. Gemmar: Derivation of mesoscale water balance model parameters from runoff process maps: consistent scaling of runoff-specific parameter sets, 6th International Congress on Environmental Modelling and Software (iEMSs), Leipzig, July 1-5, 2012
  • P. Gemmar, Y. Thesen, O. Gronz, F. Hertel: Improved targeting for DBS combining MER- and MRT-derived model structures, 24th International Congress and Exhibition on Computer Assisted Radiology and Surgery CARS 2010, Geneva, June 23-26, 2010
  • P. Gemmar, M. Stüber, M. Greving, O. Gronz: Automatische, datengetriebene Modellierung – Entwicklung und praktische Anwendung. , Niederschlag - Abfluss - Modellierung, Forum für Hydrologie und Wasserbewirtschaftung, Heft 28.10, 2010, S. 187-199
  • P. Gemmar, O. Gronz, C. Faust, M. Casper: Data driven model generation based on computational intelligence, European Geosciences Union General Assembly 2010, Vienna, Austria, May 2-7, 2010
  • O. Gronz, M. Casper and P. Gemmar: Concepts to accelerate water balance model computation, European Geosciences Union General Assembly 2010, Vienna, Austria, May 2-7, 2010
  • M. Casper, O. Gronz and P. Gemmar: Exploring behavior of soil modules with spatially inhomogeneous parameters in water balance models, European Geosciences Union General Assembly 2010, Vienna, Austria, May 2-7, 2010
  • Y. Thesen and P. Gemmar, F. Hertel: MER Feature Analysis and Selection for Computer-Aided GPE/GPI Navigation, 7th IASTED International Conference on Biomedical Engineering BioMed 2010, Innsbruck
  • C. Faust, P. Gemmar, O. Gronz, M. Casper: Generating Fuzzy Logic-Based Rainfall-Runoff Models Using Self-Organizing Maps, Book of Abstracts TIES 2009, July 5-9, 2009 University of Bologna, Italy
  • O. Gronz, M. Casper, P. Gemmar: Spatially Distributed Estimation of Mesoscale Water Balance Model Parameters using Hydrological Soil Maps, European Geosciences Union General Assembly 2009, Vienna, Austria, 20. – 25. April 2009
  • O. Gronz, P. Gemmar, M. Casper: Restricting Parameter Space in Mesoscale Water Balance Models using Hydrological Soil Maps, Book of Abstracts TIES 2009, July 5-9, 2009 University of Bologna, Italy
  • O. Gronz, M. Casper, P. Gemmar: Spatially Distributed Estimation of Mesoscale Water Balance Model Parameters using Hydrological Soil Maps, European Geosciences Union General Assembly 2009, Vienna, Austria, 20. – 25. April 2009 
  • P. Gemmar, M.E. Tercero, T. Henrichs, Y. Thesen, O. Gronz, F. Hertel: Fuzzy classifier for microelectrode recording-based target navigation in deep brain stimulation, Curac 2008, Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V., Leipzig, Germany, September 2008 [abstract]
  • P. Gemmar, O. Gronz, T. Henrichs, F. Hertel: Advanced Methods for Target Navigation using Microelectrode Recordings in Stereotactic Deep Brain Stimulation, Proceedings 21st IEEE International Symposium on Computer-Based Medical Systems, Jyväskylä, Finland, June 2008, ISBN 978-0-7695-3165-6, 99-104 [abstract]
  • P. Gemmar, O. Gronz, K. Fisch, P. Mrosek, F. Hertel, C. Decker: Automated Target Location And Trajectory Selection For Stereotactic Planning In Deep Brain Stimulation, in Analysis of Biomedical Signals and Images, 19th Biennial International Eurasip Conference Biosignal 2008, Brno, Czech Republic, Vol. 19, ISBN 978-80-214-3612-1, ISSN 1211-412X [abstract]
  • P. Gemmar, O. Gronz, T. Henrichs, F. Hertel, C. Decker: MER Classification for Deep Brain Stimulation, 6th Heidelberg Innovation Forum: Business Ideas from IT Research, Palais Prinz Carl Heidelberg, 15/16. April 2008, MFG Baden-Württemberg, Stuttgart [paper]
  • Oliver Gronz, Markus Casper, Peter Gemmar: Identifying State Variables in Multivariate Hydrological Time Series Using Time Series Knowledge Mining, Proceedings of the iEMSs Fourth Biennial Meeting: International Congress on Environmental Modelling and Software (iEMSs 2008), International Environmental Modelling and Software Society, Barcelona, Catalonia, July 2008
  • Oliver Gronz, Markus Casper, Peter Gemmar: Automatic Analysis of hydrologic Time Series using Time Series Knowledge Mining to identify System States, European Geosciences Union General Assembly 2008, Vienna, Austria, 13 – 18 April 2008
  • Oliver Gronz, Markus Casper, Peter Gemmar: Identifikation von Zustandsgrößen in multivariaten hydrologischen Zeitreihen mittels Time Series Knowledge Mining, Tag der Hydrologie: Hochwasser, Wassermangel, Gewässerverschmutzung – Problemlösung mit modernen hydrologischen Methoden, Leibniz Universität Hannover, 27.- 28. März 2008
  • M. Casper, P. Gemmar, O. Gronz, M. Johst und M. Stüber
  • Fuzzy logic-based rainfall–runoff modelling using soil moisture measurements to represent system state; Hydrological Sciences–Journal–des Sciences Hydrologiques, 52(3) June 2007, Special issue: Hydroinformatics
  • Peter Gemmar, Oliver Gronz, Frank Hertel, C. Decker: Matching of microelectrode recording and MRI data for 3D target visualization, in STN DBS surgery, Poster Presentation, ESSFN, Montreux, 2006
  • F. Hertel, M. Zürcher, C. Decker, P. Gemmar, B. Noll, M. Bettag: Implantation of electrodes for deep brain stimulation of the subthalamic nucleus in advanced Parkinsons's Disease with the aid of intraoperative microrecording under general anathesia - first report, Neurosurgery, 2006 
  • P. Gemmar, M. Stüber und O. Gronz: Effiziente Erstellung und praktischer Einsatz von NA-Modellen mittels Fuzzy Logik und automatisierter Entwicklungsverfahren, Niederschlag - Abfluss - Modellierung, Forum  für Hydrologie und Wasserbewirtschaftung, Heft 16.06, 2006, S. 27-40
  • M. Johst, M. Casper, P. Gemmar, O. Gronz, M. Stüber: Der Einsatz von Fuzzy-Systemen zur Einbindung von Bodefeuchteinformationen in die Niederschlag-Abfluss-Modellierung, Niederschlag - Abfluss - Modellierung, Forum für Hydrologie und Wasserbewirt­schaftung, Heft 16.06, 2006, S. 41-45
  • T. Henrichs, F. Hertel, P. Gemmar, C. Decker, M. Bettag: Automatic classification of microrecording signals during DBS procedures of subthalamic nucleus, Poster Presentation, 57. Annual Meeting of the German Society of Neurosurgery, Essen, 11.-14.5.2006
  • M. Johst, M. Casper, P. Gemmar, O. Gronz, M. Stüber: Using fuzzy systems to integrate soil moisture information into rainfall runoff modelling, European Geosciences Union General Assembly 2008, Vienna, Austria, 2 – 7 April 2006 
  • P. Gemmar, M. Greving und M. Stüber: Verbesserte Hochwasservorhersage durch Korrektur von Niederschlagsvorhersagen, Wasserwirtschaft 7-8, 2006, S. 42-45
  • J.O. Schumacher, P. Gemmar et al.: Control of miniature proton exchange membrane fuel cells based on fuzzy logic, Journal of Power Source, Vol. 129, 2004, pp. 143-151
  • M. Stüber, P. Gemmar: Fuzzy System for Operational Flood Forecast, European Geophysical Society (EGS) Meeting, Nizza, 25.-29. April 2000.
  • M. Stüber, P. Gemmar, M. Greving: Machine supported Development of Fuzzy-Flood Forecast Systems, European Conference on Advances in Flood Research (ECAFR), Potsdam, Nov. 2000.
  • M. Stüber, P. Gemmar: An Approach for Data Analysis and Forecasting with Neuro Fuzzy Systems – Demonstrated on Flood Events at River Mosel, in Reusch, B. (Ed.): Computational Intelligence, Proceedings International Conference, 5th Fuzzy Days Dortmund, Springer Verlag, April 1997.
  • Köster, O.; Marx, B.; Gemmar, P.; Hess, M; Künzel, H.: Qualitative and quantitative analysis of voice onset by means of a multidimensional voice analysis system (MVAS) using high speed imaging, 2nd round table: Advances in Quantitative Laryngoscopy, Friedrich Alexander University Erlangen, 1997.
  • P. Gemmar: A Flexible Object-tracking System for Automatic Detection and Analysis of Eye Movements, 3rd European Conference on Engineering and Medicine, Florenz, ISBN 88-85936-14-8, pp.410, 1995.
  • P. Gemmar, G. Hofele: Design of an Iconic Kernel System, Computer  Graphics, Vol 15, No. 4 1991.
  • P. Gemmar: Parallele Bildverarbeitung und Lösungsansätze mit Multi-Transputersystemen, in H. Ernst (Hrsg.): Maschinelles Sehen Elektronik Journal Wissenschaft und Praxis, 1990.
  • A.L. Diehm, P. Gemmar: Parallel Image Processing using the SIO Description Scheme, Parallel Computing 89, Elsevier Science Publishers B.V. (Holland), 1990.
  • Gemmar, P., Diehm, A.L., Hofele, G. (1989). Parallele Bildverarbeitung: Operationen und Architekturen sowie Standardisierunsgbestrebungen. Bildverarbeitung – Forschen, Entwickeln, Anwenden – Symposium 8. - 9.November 1989, Techn. Akademie Esslingen (TAE), Hrsg. R.-J. Ahlers, 17.1-17.17 .
  • Gemmar, P. (1989). Parallele Bildverarbeitung und Lösungsansätze mit Multi-Transputersystemen. Elektronik-Journal, Sonderheft "Bildverarbeitung", Europa-Fachpresse Verlag, Okt. 1989.
  • A.L. Diehm and P. Gemmar (1989). Parallel Image Processing using the SIO Description Scheme. Proceedings Parallel Computing 1989, Leiden, Niederlande, Parallel Computing Society.
  • Gemmar, P., Hofele, G. et al. (1989). Empfehlung für ein Ikonisches Kernsystem IKS. ITG - Fachgruppe Mustererkennung, Prof. Dr.-Ing. H. Kazmierczak (Vors.), FIM (FGAN e.V.) Ettlingen.
  • Gemmar, P., Hofele, G. (1987). Konzept für ein standardisiertes Bildverarbeitungssystem auf der Basis eines allgemeinen Operationsmodells für die Ikonik. Proceedings GI 17. Jahrestagung: Computerintegrierter Arbeitsplatz im Büro, M. Paul (Hrsg.), Springer Verlag.
  • Gemmar, P. (1986). Considerations on Parallel Solutions for Conventional Image Algorithms. Intermediate-Level Image Processing, M.J.B Duff (ed.), Academic Press, 83-99.
  • Bohner, M., Gemmar, P., Kazmierczak, H., Zimmermann, F. (1984). Development of an Optical Data Processor Demonstration Model. Final Report, European Space Agency Contract Report.
  • Gemmar, P. (1983). Prozessoren und Systeme für die Bildverarbeitung. VDE - Fachberichte, Nr. 35, VDE - Verlag, Berlin - Offenbach, 179-196. 
  • Gemmar, P., Palomino, F. (1983). Anforderungen an Verarbeitungsstrukturen für die Bildverarbeitung. Elektronische Rechenanlagen, 25. Jahrgang, Heft 1, 3-11.
  • Gemmar, P. (1982). Image Correlation: Processing Requirements and Implementation Structures on a Flexible Image Processing System (FLIP). Multicomputers and Image Processing – Algorithms and Programs, K. Preston jr., L. Uhr (ed.), Academic Press, 87-98.
  • Gemmar, P. und Palomino, F. (1981). Untersuchung von Prozessorstrukturen für die Bildverarbeitung. BMFT - Forschungsbericht DV 81-008, Fachinformationszentrum Karlsruhe.
  • Gemmar, P., Ischen, H., Lütjen, K. (1981). A Flexible Image Processing System. Proceedings Pattern Recognition, Vol. 2, IEEE Catalog No. 80 CH 1499-3, 326ff.
  • Gemmar, P., Ischen, H., Lütjen, K. (1981). FLIP: A Multiprocessor System for Image Processing. Languages and Architectures for Image Processing (ed. M.J.B. Duff, S. Levialdi), Academic Press, London, 245-256.
  • Gemmar, P. (1979). Ein digitales on-line Stereokorrelationssystem. Angewandte Szenenanalyse, Informatik Fachberichte, Springer Verlag, 315ff.
  • Vorgrimmler, K., Gemmar, P. (1977). Structural Programming of a Multiprocessor System. Parallel Computers – Parallel Machines, M. Feilmeier (ed.), International Association for Mathematics and Computer Simulation, 191-195.