@inproceedings{SchneckenburgerFranzenGligorevicetal.2011,
  author    = {Schneckenburger, N. and Franzen, N. and Gligorevic, Snjezana and Schnell, M.},
  title     = {L-band compatibility of LDACS1},
  series = {IEEE/AIAA 30th Digital Avionics Systems Conference (DASC) : 16 - 20 Oct. 2011, Seattle, Wash.},
  booktitle = {IEEE/AIAA 30th Digital Avionics Systems Conference (DASC) : 16 - 20 Oct. 2011, Seattle, Wash.},
  organization    = {Institute of Electrical and Electronics Engineers},
  isbn      = {978-1-61284-797-9},
  issn      = {2155-7195},
  pages     = {4C3-1 -- 4C3-11},
  year      = {2011},
  language  = {en}
}
@incollection{SchneiderWisselinkCzarneckietal.2024,
  author    = {Schneider, Dominik and Wisselink, Frank and Czarnecki, Christian and N{\"o}lle, Nikolai},
  title     = {Benefits and framework conditions for information-driven business models concerning the Internet of Things},
  series = {Digitalization in companies},
  booktitle = {Digitalization in companies},
  publisher = {Springer},
  address   = {Wiesbaden},
  isbn      = {978-3-658-39093-8 (Print)},
  doi       = {10.1007/978-3-658-39094-5_5},
  pages     = {59 -- 75},
  year      = {2024},
  abstract  = {In the context of the increasing digitalization, the Internet of Things (IoT) is seen as a technological driver through which completely new business models can emerge in the interaction of different players. Identified key players include traditional industrial companies, municipalities and telecommunications companies. The latter, by providing connectivity, ensure that small devices with tiny batteries can be connected almost anywhere and directly to the Internet. There are already many IoT use cases on the market that provide simplification for end users, such as Philips Hue Tap. In addition to business models based on connectivity, there is great potential for information-driven business models that can support or enhance existing business models. One example is the IoT use case Park and Joy, which uses sensors to connect parking spaces and inform drivers about available parking spaces in real time. Information-driven business models can be based on data generated in IoT use cases. For example, a telecommunications company can add value by deriving more decision-relevant information - called insights - from data that is used to increase decision agility. In addition, insights can be monetized. The monetization of insights can only be sustainable, if careful attention is taken and frameworks are considered. In this chapter, the concept of information-driven business models is explained and illustrated with the concrete use case Park and Joy. In addition, the benefits, risks and framework conditions are discussed.},
  language  = {en}
}
@incollection{SchneiderWisselinkNoelleetal.2020,
  author    = {Schneider, Dominik and Wisselink, Frank and N{\"o}lle, Nikolai and Czarnecki, Christian},
  title     = {Influence of artificial intelligence on commercial interactions in the consumer market},
  series = {Automatisierung und Personalisierung von Dienstleistungen : Methoden - Potenziale - Einsatzfelder},
  booktitle = {Automatisierung und Personalisierung von Dienstleistungen : Methoden - Potenziale - Einsatzfelder},
  editor    = {Bruhn, Manfred and Hadwich, Karsten},
  publisher = {Springer Gabler},
  address   = {Wiesbaden},
  isbn      = {978-3-658-30167-5 (Print)},
  doi       = {10.1007/978-3-658-30168-2_7},
  pages     = {183 -- 205},
  year      = {2020},
  abstract  = {Recently, novel AI-based services have emerged in the consumer market. AI-based services can affect the way consumers take commercial decisions. Research on the influence of AI on commercial interactions is in its infancy. In this chapter, a framework creating a first overview of the influence of AI on commercial interactions is introduced. This framework summarizes the findings of comparing numerous customer journeys of novel AI-based services with corresponding non-AI equivalents.},
  language  = {en}
}
@inproceedings{SchnellBrandesGligorevicetal.2008,
  author    = {Schnell, Michael and Brandes, Sinja and Gligorevic, Snjezana and Walter, M. and Rihacek, Christoph and Sajatovic, Miodrag and Haindl, Bernhard},
  title     = {Interference mitigation for broadband L-DACS},
  series = {27th IEEE/AIAA Digital Avionics Systems Conference : DASC 2008 : 26-30 Oct. 2008, St. Paul, Minn.},
  booktitle = {27th IEEE/AIAA Digital Avionics Systems Conference : DASC 2008 : 26-30 Oct. 2008, St. Paul, Minn.},
  organization    = {Institute of Electrical and Electronics Engineers},
  isbn      = {978-1-4244-2207-4 ; 978-1-4244-2208-1},
  pages     = {2B2-1 -- 2B2-12},
  year      = {2008},
  language  = {en}
}
@inproceedings{SchnellFranzenGligorevic2010,
  author    = {Schnell, Michael and Franzen, Nico and Gligorevic, Snjezana},
  title     = {L-DACS1 laboratory demonstrator development and compatibility measurement set-up},
  series = {IEEE/AIAA 29th Digital Avionics Systems Conference (DASC) : 3 - 7 Oct. 2010, Salt Lake City, Utah},
  booktitle = {IEEE/AIAA 29th Digital Avionics Systems Conference (DASC) : 3 - 7 Oct. 2010, Salt Lake City, Utah},
  organization    = {Institute of Electrical and Electronics Engineers},
  isbn      = {9781424466160 ; 9781424466184},
  pages     = {3E3-1 -- 3E3-11},
  year      = {2010},
  language  = {en}
}
@article{SchollAachDesernoetal.2011,
  author    = {Scholl, Ingrid and Aach, Til and Deserno, Thomas M. and Kuhlen, Torsten},
  title     = {Challenges of medical image processing},
  series = {Computer Science - Research and Development},
  volume    = {26},
  journal   = {Computer Science - Research and Development},
  number    = {1-2},
  publisher = {Springer},
  address   = {Berlin},
  isbn      = {1865-2042},
  pages     = {5 -- 13},
  year      = {2011},
  language  = {en}
}
@inproceedings{SchollBartellaMoluluoetal.2019,
  author    = {Scholl, Ingrid and Bartella, Alex and Moluluo, Cem and Ertural, Berat and Laing, Frederic and Suder, Sebastian},
  title     = {MedicVR : Acceleration and Enhancement Techniques for Direct Volume Rendering in Virtual Reality},
  series = {Bildverarbeitung f{\"u}r die Medizin 2019 : Algorithmen - Systeme - Anwendungen},
  booktitle = {Bildverarbeitung f{\"u}r die Medizin 2019 : Algorithmen - Systeme - Anwendungen},
  publisher = {Springer Vieweg},
  address   = {Wiesbaden},
  isbn      = {978-3-658-25326-4},
  doi       = {10.1007/978-3-658-25326-4_32},
  pages     = {152 -- 157},
  year      = {2019},
  language  = {en}
}
@article{SchollPalmLehmannetal.1998,
  author    = {Scholl, Ingrid and Palm, Christoph and Lehmann, Thomas and Spitzer, Klaus},
  title     = {Quantitative Farbmessung in laryngoskopischen Bildern. Palm, C; Scholl, I; Lehmann, TM; Spitzer, K.},
  series = {Bildverarbeitung f{\"u}r die Medizin 1998. Hrsg.: Thomas Lehmann ...},
  journal   = {Bildverarbeitung f{\"u}r die Medizin 1998. Hrsg.: Thomas Lehmann ...},
  publisher = {Springer},
  address   = {Berlin},
  isbn      = {3-540-63885-7},
  pages     = {412 -- 416},
  year      = {1998},
  language  = {en}
}
@article{SchollPelikanRepgesetal.1996,
  author    = {Scholl, Ingrid and Pelikan, Erich and Repges, Rudolf and Tolxdorff, Thomas},
  title     = {Texture-based feature extraction using the Wavelet transform on x rays.},
  series = {Medical Imaging 1996: Image Processing},
  journal   = {Medical Imaging 1996: Image Processing},
  pages     = {668 -- 678},
  year      = {1996},
  language  = {en}
}
@inproceedings{SchollSuderSchiffer2018,
  author    = {Scholl, Ingrid and Suder, Sebastian and Schiffer, Stefan},
  title     = {Direct Volume Rendering in Virtual Reality},
  series = {Bildverarbeitung f{\"u}r die Medizin 2018},
  booktitle = {Bildverarbeitung f{\"u}r die Medizin 2018},
  publisher = {Springer Vieweg},
  address   = {Berlin},
  isbn      = {978-3-662-56537-7},
  doi       = {10.1007/978-3-662-56537-7_79},
  pages     = {297 -- 302},
  year      = {2018},
  language  = {en}
}