@inproceedings{CurzonKalasSchubertetal.2015,
  author    = {Curzon, Paul and Kalas, Ivan and Schubert, Sigrid and Schaper, Niclas and Barnes, Jan and Kennewell, Steve and Br{\"o}ker, Kathrin and Kastens, Uwe and Magenheim, Johannes and Dagiene, Valentina and Stupuriene, Gabriele and Ellis, Jason Brent and Abreu-Ellis, Carla Reis and Grillenberger, Andreas and Romeike, Ralf and Haugsbakken, Halvdan and Jones, Anthony and Lewin, Cathy and McNicol, Sarah and Nelles, Wolfgang and Neugebauer, Jonas and Ohrndorf, Laura and Schaper, Niclas and Schubert, Sigrid and Opel, Simone and Kramer, Matthias and Trommen, Michael and Pottb{\"a}cker, Florian and Ilaghef, Youssef and Passig, David and Tzuriel, David and Kedmi, Ganit Eshel and Saito, Toshinori and Webb, Mary and Weigend, Michael and Bottino, Rosa and Chioccariello, Augusto and Christensen, Rhonda and Knezek, Gerald and Gioko, Anthony Maina and Angondi, Enos Kiforo and Waga, Rosemary and Ohrndorf, Laura and Or-Bach, Rachel and Preston, Christina and Younie, Sarah and Przybylla, Mareen and Romeike, Ralf and Reynolds, Nicholas and Swainston, Andrew and Bendrups, Faye and Sysło, Maciej M. and Kwiatkowska, Anna Beata and Zieris, Holger and Gerstberger, Herbert and M{\"u}ller, Wolfgang and B{\"u}chner, Steffen and Opel, Simone and Schiller, Thomas and Wegner, Christian and Zender, Raphael and Lucke, Ulrike and Diethelm, Ira and Syrbe, J{\"o}rn and Lai, Kwok-Wing and Davis, Niki and Eickelmann, Birgit and Erstad, Ola and Fisser, Petra and Gibson, David and Khaddage, Ferial and Knezek, Gerald and Micheuz, Peter and Kloos, Carlos Delgado},
  title     = {KEYCIT 2014},
  editor    = {Brinda, Torsten and Reynolds, Nicholas and Romeike, Ralf and Schwill, Andreas},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  isbn      = {978-3-86956-292-6},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-70325},
  pages     = {438},
  year      = {2015},
  abstract  = {In our rapidly changing world it is increasingly important not only to be an expert in a chosen field of study but also to be able to respond to developments, master new approaches to solving problems, and fulfil changing requirements in the modern world and in the job market. In response to these needs key competencies in understanding, developing and using new digital technologies are being brought into focus in school and university programmes. The IFIP TC3 conference "KEYCIT - Key Competences in Informatics and ICT (KEYCIT 2014)" was held at the University of Potsdam in Germany from July 1st to 4th, 2014 and addressed the combination of key competencies, Informatics and ICT in detail. The conference was organized into strands focusing on secondary education, university education and teacher education (organized by IFIP WGs 3.1 and 3.3) and provided a forum to present and to discuss research, case studies, positions, and national perspectives in this field.},
  language  = {en}
}
@phdthesis{Videla2014,
  author    = {Videla, Santiago},
  title     = {Reasoning on the response of logical signaling networks with answer set programming},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-71890},
  school      = {Universit{\"a}t Potsdam},
  year      = {2014},
  abstract  = {Deciphering the functioning of biological networks is one of the central tasks in systems biology. In particular, signal transduction networks are crucial for the understanding of the cellular response to external and internal perturbations. Importantly, in order to cope with the complexity of these networks, mathematical and computational modeling is required. We propose a computational modeling framework in order to achieve more robust discoveries in the context of logical signaling networks. More precisely, we focus on modeling the response of logical signaling networks by means of automated reasoning using Answer Set Programming (ASP). ASP provides a declarative language for modeling various knowledge representation and reasoning problems. Moreover, available ASP solvers provide several reasoning modes for assessing the multitude of answer sets. Therefore, leveraging its rich modeling language and its highly efficient solving capacities, we use ASP to address three challenging problems in the context of logical signaling networks: learning of (Boolean) logical networks, experimental design, and identification of intervention strategies. Overall, the contribution of this thesis is three-fold. Firstly, we introduce a mathematical framework for characterizing and reasoning on the response of logical signaling networks. Secondly, we contribute to a growing list of successful applications of ASP in systems biology. Thirdly, we present a software providing a complete pipeline for automated reasoning on the response of logical signaling networks.},
  language  = {en}
}
@phdthesis{Jiang2007,
  author    = {Jiang, Chunyan},
  title     = {Multi-visualization and hybrid segmentation approaches within telemedicine framework},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-12829},
  school      = {Universit{\"a}t Potsdam},
  year      = {2007},
  abstract  = {The innovation of information techniques has changed many aspects of our life. In health care field, we can obtain, manage and communicate high-quality large volumetric image data by computer integrated devices, to support medical care. In this dissertation I propose several promising methods that could assist physicians in processing, observing and communicating the image data. They are included in my three research aspects: telemedicine integration, medical image visualization and image segmentation. And these methods are also demonstrated by the demo software that I developed. One of my research point focuses on medical information storage standard in telemedicine, for example DICOM, which is the predominant standard for the storage and communication of medical images. I propose a novel 3D image data storage method, which was lacking in current DICOM standard. I also created a mechanism to make use of the non-standard or private DICOM files. In this thesis I present several rendering techniques on medical image visualization to offer different display manners, both 2D and 3D, for example, cut through data volume in arbitrary degree, rendering the surface shell of the data, and rendering the semi-transparent volume of the data. A hybrid segmentation approach, designed for semi-automated segmentation of radiological image, such as CT, MRI, etc, is proposed in this thesis to get the organ or interested area from the image. This approach takes advantage of the region-based method and boundary-based methods. Three steps compose the hybrid approach: the first step gets coarse segmentation by fuzzy affinity and generates homogeneity operator; the second step divides the image by Voronoi Diagram and reclassifies the regions by the operator to refine segmentation from the previous step; the third step handles vague boundary by level set model. Topics for future research are mentioned in the end, including new supplement for DICOM standard for segmentation information storage, visualization of multimodal image information, and improvement of the segmentation approach to higher dimension.},
  language  = {en}
}