@incollection{Weber1998, author = {Weber, Hans-Joachim}, title = {Applied physics of compressible and incompressible fluids}, series = {Critical care nephrology / [Hrsg.:] Claudio Ronco and Rinaldo Bellomo}, booktitle = {Critical care nephrology / [Hrsg.:] Claudio Ronco and Rinaldo Bellomo}, publisher = {Springer}, address = {Dordrecht}, isbn = {978-94-010-6306-7}, pages = {63 -- 84}, year = {1998}, language = {en} } @incollection{Dikta1998, author = {Dikta, Gerhard}, title = {Fundamentals of applied probability and basic statistics}, series = {Critical care nephrology / [Hrsg.:] Claudio Ronco and Rinaldo Bellomo}, booktitle = {Critical care nephrology / [Hrsg.:] Claudio Ronco and Rinaldo Bellomo}, publisher = {Springer}, address = {Dordrecht}, isbn = {978-94-010-6306-7}, pages = {51 -- 61}, year = {1998}, language = {en} } @incollection{StaatHeitzer2003, author = {Staat, Manfred and Heitzer, M.}, title = {Basis reduction technique for limit and shakedown problems}, series = {Numerical Methods for Limit and Shakedown Analysis. Deterministic and Probabilistic Approach. NIC Series Vol. 15 / Ed. by Staat, M.; Heitzer, M.}, booktitle = {Numerical Methods for Limit and Shakedown Analysis. Deterministic and Probabilistic Approach. NIC Series Vol. 15 / Ed. by Staat, M.; Heitzer, M.}, publisher = {John von Neumann Institute for Computing (NIC)}, address = {J{\"u}lich}, isbn = {3-00-010001-6}, url = {http://nbn-resolving.de/urn:nbn:de:0001-2018112115}, pages = {1 -- 55}, year = {2003}, language = {en} } @incollection{StaatHeitzer2003, author = {Staat, Manfred and Heitzer, Michael}, title = {Probabilistic limit and shakedown problems}, series = {Numerical methods for limit and shakedown analysis. Deterministic and probabilistic problems}, volume = {15}, booktitle = {Numerical methods for limit and shakedown analysis. Deterministic and probabilistic problems}, editor = {Staat, Manfred and Heitzer, Michael}, publisher = {John von Neumann Institute for Computing (NIC)}, address = {J{\"u}lich}, isbn = {3-00-010001-6}, pages = {217 -- 268}, year = {2003}, language = {en} } @incollection{PoghossianSchoening2006, author = {Poghossian, Arshak and Sch{\"o}ning, Michael Josef}, title = {Silicon-based chemical and biological field-effect sensors}, series = {Encyclopedia of Sensors. Vol. 9 S - Sk}, booktitle = {Encyclopedia of Sensors. Vol. 9 S - Sk}, publisher = {ASP, American Scientific Publ.}, address = {Stevenson Ranch, Calif.}, isbn = {1-58883-065-9}, pages = {463 -- 534}, year = {2006}, language = {en} } @incollection{MuellerVeggianKopsQuinetal.2007, author = {M{\"u}ller-Veggian, Mattea and Kops, Elena Rota and Quin, Peng and Herzog, Hans}, title = {MRI Based Attenuation Correction for Brain PET Images}, series = {Advances in medical engineering / [3rd RPT - Remagener Physiktage together with the Second Scientific Workshop of Medical Robotics, Navigation and Visualization ... Remagen ... 7.-9. M{\"a}rz 2007]. Thorsten M. Buzug (ed.) Part 1.}, booktitle = {Advances in medical engineering / [3rd RPT - Remagener Physiktage together with the Second Scientific Workshop of Medical Robotics, Navigation and Visualization ... Remagen ... 7.-9. M{\"a}rz 2007]. Thorsten M. Buzug (ed.) Part 1.}, publisher = {Springer}, address = {Berlin}, isbn = {978-3-540-68763-4}, doi = {10.1007/978-3-540-68764-1_15}, pages = {93 -- 97}, year = {2007}, abstract = {This work describes a procedure to yield attenuation maps from MR images which are used for the absorption correction (AC) of brain PET data. Such an approach could be mandatory for future combined PET and MRI scanners, which probably do not include a transmission facility. T1-weighted MR images were segmented into brain tissue, bone, soft tissue, and sinus; attenuation coefficients corresponding to elemental composition and density as well as to 511 keV photon energy were respectively assigned. Attenuation maps containing up to four compartments were created and forward projected into sinograms with attenuation factors which then were used for AC during reconstruction of FDG-PET data. The commonly used AC based on a radioactive (68Ge) transmission scan served as reference. The reconstructed radioactivity values obtained with the MRI-based AC were about 20\% lower than those obtained with PET-based AC if the skull was not taken into account. Considering the skull the difference was still about 10\%. Our investigations demonstrate the feasibility of a MRI-based AC, but revealed also the necessity of a satisfying delineation of bone thickness which tends to be underestimated in our first approach of T1-weighted MR image segmentation.}, language = {en} } @incollection{OsterhageBialonskiStanieketal.2008, author = {Osterhage, Hannes and Bialonski, Stephan and Staniek, Matth{\"a}us and Schindler, Kaspar and Wagner, Tobias and Elger, Christian E. and Lehnertz, Klaus}, title = {Bivariate and multivariate time series analysis techniques and their potential impact for seizure prediction}, series = {Seizure Prediction in Epilepsy: From Basic Mechanisms to Clinical Applications}, booktitle = {Seizure Prediction in Epilepsy: From Basic Mechanisms to Clinical Applications}, publisher = {Wiley-VCH}, address = {Weinheim}, isbn = {978-3-527-62519-2}, doi = {10.1002/9783527625192.ch15}, pages = {189 -- 208}, year = {2008}, language = {en} } @incollection{LehnertzBialonskiHorstmannetal.2010, author = {Lehnertz, Klaus and Bialonski, Stephan and Horstmann, Marie-Therese and Krug, Dieter and Rothkegel, Alexander and Staniek, Matth{\"a}us and Wagner, Tobias}, title = {Epilepsy}, series = {Reviews of Nonlinear Dynamics and Complexity, Volume 2}, booktitle = {Reviews of Nonlinear Dynamics and Complexity, Volume 2}, publisher = {Wiley-VCH}, isbn = {9783527628001}, doi = {10.1002/9783527628001.ch5}, pages = {159 -- 200}, year = {2010}, language = {en} } @incollection{DigelMansurovBiisenbaevetal.2012, author = {Digel, Ilya and Mansurov, Zulkhair and Biisenbaev, Makhmut and Savitskaya, Irina and Kistaubaeva, Aida and Akimbekov, Nuraly and Zhubanova, Azhar}, title = {Heterogeneous Composites on the Basis of Microbial Cells and Nanostructured Carbonized Sorbents}, series = {Composites and Their Applications}, booktitle = {Composites and Their Applications}, editor = {Hu, Ning}, publisher = {Intech}, address = {London}, isbn = {978-953-51-0706-4}, doi = {10.5772/47796}, pages = {249 -- 272}, year = {2012}, abstract = {The fact that microorganisms prefer to grow on liquid/solid phase surfaces rather than in the surrounding aqueous phase was noticed long time ago [1]. Virtually any surface - animal, mineral, or vegetable - is a subject for microbial colonization and subsequent biofilm formation. It would be adequate to name just a few notorious examples on microbial colonization of contact lenses, ship hulls, petroleum pipelines, rocks in streams and all kinds of biomedical implants. The propensity of microorganisms to become surface-bound is so profound and ubiquitous that it vindicates the advantages for attached forms over their free-ranging counterparts [2]. Indeed, from ecological and evolutionary standpoints, for many microorganisms the surface-bound state means dwelling in nutritionally favorable, non-hostile environments [3]. Therefore, in most of natural and artificial ecosystems surface-associated microorganisms vastly outnumber organisms in suspension and often organize into complex communities with features that differ dramatically from those of free cells [4].}, language = {en} } @incollection{BialonskiLehnertz2013, author = {Bialonski, Stephan and Lehnertz, Klaus}, title = {From time series to complex networks: an overview}, series = {Recent Advances in Predicting and Preventing Epileptic Seizures: Proceedings of the 5th International Workshop on Seizure Prediction}, booktitle = {Recent Advances in Predicting and Preventing Epileptic Seizures: Proceedings of the 5th International Workshop on Seizure Prediction}, isbn = {978-981-4525-36-7}, doi = {10.1142/9789814525350_0010}, pages = {132 -- 147}, year = {2013}, abstract = {The network approach towards the analysis of the dynamics of complex systems has been successfully applied in a multitude of studies in the neurosciences and has yielded fascinating insights. With this approach, a complex system is considered to be composed of different constituents which interact with each other. Interaction structures can be compactly represented in interaction networks. In this contribution, we present a brief overview about how interaction networks are derived from multivariate time series, about basic network characteristics, and about challenges associated with this analysis approach.}, language = {en} }