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    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>periodicalpart</type>
    <publisherName/>
    <publisherPlace>Regensburg</publisherPlace>
    <creatingCorporation>Ostbayerische Technische Hochschule Regensburg</creatingCorporation>
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    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
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    <title language="deu">Forschungsbericht 2017</title>
    <identifier type="isbn">978-3-9818209-3-5</identifier>
    <identifier type="urn">urn:nbn:de:bvb:898-opus4-13835</identifier>
    <identifier type="doi">10.35096/othr/pub-1383</identifier>
    <author>Karsten Weber</author>
    <author>Sebastian Dendorfer</author>
    <author>Franz Süß</author>
    <author>Simone Kubowitsch</author>
    <author>Thomas Schratzenstaller</author>
    <author>Sonja Haug</author>
    <author>Christa Mohr</author>
    <author>Hans Kiesl</author>
    <author>Jörg Drechsler</author>
    <author>Markus Westner</author>
    <author>Jörn Kobus</author>
    <author>Martin J. W. Schubert</author>
    <author>Stefan Zenger</author>
    <author>Alexander Pietsch</author>
    <author>Josef Weiß</author>
    <author>Sebastian Hinterseer</author>
    <author>Roland Schieck</author>
    <author>Stefanie Scherzinger</author>
    <author>Meike Klettke</author>
    <author>Andreas Ringlstetter</author>
    <author>Uta Störl</author>
    <author>Tegawendé F. Bissyandé</author>
    <author>Achim Seeburger</author>
    <author>Timo Schindler</author>
    <author>Ralf Ramsauer</author>
    <author>Jan Kiszka</author>
    <author>Andreas Kölbl</author>
    <author>Daniel Lohmann</author>
    <author>Wolfgang Mauerer</author>
    <author>Johannes Maier</author>
    <author>Ulrike Scorna</author>
    <author>Christoph Palm</author>
    <author>Alexander Soska</author>
    <author>Jürgen Mottok</author>
    <author>Andreas Ellermeier</author>
    <author>Daniel Vögele</author>
    <author>Stefan Hierl</author>
    <author>Ulrich Briem</author>
    <author>Knut Buschmann</author>
    <author>Ingo Ehrlich</author>
    <author>Christian Pongratz</author>
    <author>Benjamin Pielmeier</author>
    <author>Quirin Tyroller</author>
    <author>Gareth J. Monkman</author>
    <author>Franz Gut</author>
    <author>Carina Roth</author>
    <author>Peter Hausler</author>
    <author>Rudolf Bierl</author>
    <author>Christian Prommesberger</author>
    <author>Robert Damian Ławrowski</author>
    <author>Christoph Langer</author>
    <author>Rupert Schreiner</author>
    <author>Yifeng Huang</author>
    <author>Juncong She</author>
    <author>Andreas Ottl</author>
    <author>Walter Rieger</author>
    <author>Agnes Kraml</author>
    <author>Thomas Poxleitner</author>
    <author>Simon Hofer</author>
    <author>Benjamin Heisterkamp</author>
    <author>Maximilian Lerch</author>
    <author>Nike Sammer</author>
    <author>Olivia Golde</author>
    <author>Felix Wellnitz</author>
    <author>Sandra Schmid</author>
    <author>Claudia Muntschick</author>
    <author>Wolfgang Kusterle</author>
    <author>Ivan Paric</author>
    <author>Oliver Brückl</author>
    <author>Matthias Haslbeck</author>
    <author>Ottfried Schmidt</author>
    <author>Peter Schwanzer</author>
    <author>Hans-Peter Rabl</author>
    <author>Michael Sterner</author>
    <author>Franz Bauer</author>
    <author>Sven Steinmann</author>
    <author>Fabian Eckert</author>
    <author>Andreas Hofrichter</author>
    <series>
      <title>Forschungsberichte der OTH Regensburg</title>
      <number>2017</number>
    </series>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Forschung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Forschungsbericht</value>
    </subject>
    <collection role="institutes" number="HL">Hochschulleitung/Hochschulverwaltung</collection>
    <collection role="othpublikationsherkunft" number="">Von der OTH Regensburg herausgegeben</collection>
    <collection role="persons" number="weberlate">Weber, Karsten (Prof. Dr.) - Labor für Technikfolgenabschätzung und Angewandte Ethik</collection>
    <collection role="institutes" number="IAFW">Zentrum für Forschung und Transfer (ZFT ab 2024; vorher: IAFW)</collection>
    <collection role="persons" number="sternerfenes">Sterner, Michael (Prof. Dr.) - FENES / Forschungsgruppe Energiespeicher</collection>
    <collection role="persons" number="bruecklfenes">Brückl, Oliver (Prof. Dr.) - FENES / Forschungsgruppe Energienetze</collection>
    <collection role="persons" number="hauglasofo">Haug, Sonja (Prof. Dr.) - Labor Empirische Sozialforschung</collection>
    <thesisPublisher>Ostbayerische Technische Hochschule Regensburg</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-oth-regensburg/files/1383/Forschungsbericht_OTHR_2017.pdf</file>
  </doc>
  <doc>
    <id>2166</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>2067</pageFirst>
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    <edition/>
    <issue/>
    <volume>16</volume>
    <type>article</type>
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    <completedDate>2021-11-18</completedDate>
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    <title language="eng">IJCARS: BVM 2021 special issue</title>
    <abstract language="eng">The German workshop on medical image computing (BVM) has been held in different locations in Germany for more than 20 years. In terms of content, BVM focused on the computer-aided analysis of medical image data with a wide range of applications, e.g. in the area of imaging, diagnostics, operation planning, computer-aided intervention and visualization.&#13;
&#13;
During this time, there have been remarkable methodological developments and upheavals, on which the BVM community has worked intensively. The area of machine learning should be emphasized, which has led to significant improvements, especially for tasks of classification and segmentation, but increasingly also in image formation and registration. As a result, work in connection with deep learning now dominates the BVM. These developments have also contributed to the establishment of medical image processing at the interface between computer science and medicine as one of the key technologies for the digitization of the health system.&#13;
&#13;
In addition to the presentation of current research results, a central aspect of the BVM is primarily the promotion of young scientists from the diverse BVM community, covering not only Germany but also Austria, Switzerland, The Netherland and other European neighbors. The conference serves primarily doctoral students and postdocs, but also students with excellent bachelor and master theses as a platform to present their work, to enter into professional discourse with the community, and to establish networks with specialist colleagues. Despite the many conferences and congresses that are also relevant for medical image processing, the BVM has therefore lost none of its importance and attractiveness and has retained its permanent place in the annual conference rhythm.&#13;
&#13;
Building on this foundation, there are some innovations and changes this year. The BVM 2021 was organized for the first time at the Ostbayerische Technische Hochschule Regensburg (OTH Regensburg, a technical university of applied sciences). After Aachen, Berlin, Erlangen, Freiburg, Hamburg, Heidelberg, Leipzig, Lübeck, and Munich, Regensburg is not just a new venue. OTH Regensburg is the first representative of the universities of applied sciences (HAW) to organize the conference, which differs to universities, university hospitals, or research centers like Fraunhofer or Helmholtz. This also considers the further development of the research landscape in Germany, where HAWs increasingly contribute to applied research in addition to their focus on teaching. This development is also reflected in the contributions submitted to the BVM in recent years.&#13;
&#13;
At BVM 2021, which was held in a virtual format for the first time due to the Corona pandemic, an attractive and high-quality program was offered. Fortunately, the number of submissions increased significantly. Out of 97 submissions, 26 presentations, 51 posters and 5 software demonstrations were accepted via an anonymized reviewing process with three reviews each. The three best works have been awarded BVM prizes, selected by a separate committee.&#13;
&#13;
Based on these high-quality submissions, we are able to present another special issue in the International Journal of Computer Assisted Radiology and Surgery (IJCARS). Out of the 97 submissions, the ones with the highest scores have been invited to submit an extended version of their paper to be presented in IJCARS. As a result, we are now able to present this special issue with seven excellent articles. Many submissions focus on machine learning in a medical context.</abstract>
    <parentTitle language="eng">International Journal of Computer Assisted Radiology and Surgery</parentTitle>
    <identifier type="doi">10.1007/s11548-021-02534-7</identifier>
    <identifier type="urn">urn:nbn:de:bvb:898-opus4-21666</identifier>
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    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Andreas Maier</author>
    <author>Thomas M. Deserno</author>
    <author>Heinz Handels</author>
    <author>Klaus H. Maier-Hein</author>
    <author>Christoph Palm</author>
    <author>Thomas Tolxdorff</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Medical Image Computing</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Bildgebendes Verfahren</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Medizin</value>
    </subject>
    <collection role="ddc" number="0">Informatik, Informationswissenschaft, allgemeine Werke</collection>
    <collection role="ddc" number="6">Technik, Medizin, angewandte Wissenschaften</collection>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="institutes" number="RCBE">Regensburg Center of Biomedical Engineering - RCBE</collection>
    <collection role="institutes" number="RCHST">Regensburg Center of Health Sciences and Technology - RCHST</collection>
    <collection role="persons" number="palmremic">Palm, Christoph (Prof. Dr.) - ReMIC</collection>
    <collection role="othforschungsschwerpunkt" number="16314">Lebenswissenschaften und Ethik</collection>
    <collection role="oaweg" number="">Hybrid Open Access - OA-Veröffentlichung in einer Subskriptionszeitschrift/-medium</collection>
    <collection role="institutes" number="">Labor Regensburg Medical Image Computing (ReMIC)</collection>
    <thesisPublisher>Ostbayerische Technische Hochschule Regensburg</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-oth-regensburg/files/2166/Maier2021_Article_IJCARSBVM2021SpecialIssue.pdf</file>
  </doc>
  <doc>
    <id>2150</id>
    <completedYear/>
    <publishedYear>2019</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>2</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>14</volume>
    <type>article</type>
    <publisherName>Springer</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
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    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2021-11-05</completedDate>
    <publishedDate>--</publishedDate>
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    <title language="eng">Guest editorial of the IJCARS - BVM 2018 special issue</title>
    <parentTitle language="eng">International Journal of Computer Assisted Radiology and Surgery</parentTitle>
    <identifier type="doi">10.1007/s11548-018-01902-0</identifier>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Andreas Maier</author>
    <author>Thomas M. Deserno</author>
    <author>Heinz Handels</author>
    <author>Klaus H. Maier-Hein</author>
    <author>Christoph Palm</author>
    <author>Thomas Tolxdorff</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Medical Image Computing</value>
    </subject>
    <collection role="ddc" number="0">Informatik, Informationswissenschaft, allgemeine Werke</collection>
    <collection role="ddc" number="6">Technik, Medizin, angewandte Wissenschaften</collection>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="persons" number="palmremic">Palm, Christoph (Prof. Dr.) - ReMIC</collection>
    <collection role="othforschungsschwerpunkt" number="16314">Lebenswissenschaften und Ethik</collection>
    <collection role="institutes" number="">Labor Regensburg Medical Image Computing (ReMIC)</collection>
  </doc>
  <doc>
    <id>1384</id>
    <completedYear/>
    <publishedYear>2016</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>periodicalpart</type>
    <publisherName/>
    <publisherPlace>Regensburg</publisherPlace>
    <creatingCorporation>Ostbayerische Technische Hochschule Regensburg</creatingCorporation>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
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    <title language="deu">Forschungsbericht 2016</title>
    <identifier type="doi">10.35096/othr/pub-1384</identifier>
    <identifier type="urn">urn:nbn:de:bvb:898-opus4-13840</identifier>
    <author>Wolfgang Mauerer</author>
    <author>Tanja Rexhepaj</author>
    <author>Gareth J. Monkman</author>
    <author>Dirk Sindersberger</author>
    <author>Andreas Diermeier</author>
    <author>Thomas Neidhart</author>
    <author>Dominik Wolfrum</author>
    <author>Michael Sterner</author>
    <author>Michael Heberl</author>
    <author>Robert Nusko</author>
    <author>Georg Maier</author>
    <author>Klaus Nagl</author>
    <author>Monika Reuter</author>
    <author>Andreas Hofrichter</author>
    <author>Thomas Lex</author>
    <author>Florian Lesch</author>
    <author>Bärbel Kieninger</author>
    <author>Alexander Eduard Szalo</author>
    <author>Alexander Zehner</author>
    <author>Christoph Palm</author>
    <author>Mitchell Joblin</author>
    <author>Sven Apel</author>
    <author>Ralf Ramsauer</author>
    <author>Daniel Lohmann</author>
    <author>Markus Westner</author>
    <author>Artur Strasser</author>
    <author>Maximilian Munndi</author>
    <author>Lena Ebner</author>
    <author>Michael Elsner</author>
    <author>Nils Weiß</author>
    <author>Matthias Segerer</author>
    <author>Rudolf Hackenberg</author>
    <author>Sebastian Steger</author>
    <author>Anton Schmailzl</author>
    <author>Michael Dostalek</author>
    <author>Dominik Armbruster</author>
    <author>Fabian Koch</author>
    <author>Stefan Hierl</author>
    <author>Philipp Thumann</author>
    <author>Krzysztof Swidergal</author>
    <author>Marcus Wagner</author>
    <author>Ulrich Briem</author>
    <author>Andreas Diermeier</author>
    <author>Stefan Spreitzer</author>
    <author>Sabrina Beiderbeck</author>
    <author>Christian Hook</author>
    <author>Martin Zobel</author>
    <author>Tim Weber</author>
    <author>Simon Groß</author>
    <author>Rainer Penzkofer</author>
    <author>Sebastian Dendorfer</author>
    <author>Ingo Schillitz</author>
    <author>Thomas Bauer</author>
    <author>Clarissa Rudolph</author>
    <author>Katja Schmidt</author>
    <author>Thomas Liebetruth</author>
    <author>Markus Hamer</author>
    <author>Sonja Haug</author>
    <author>Matthias Vernim</author>
    <author>Karsten Weber</author>
    <author>Sean Patrick Saßmannshausen</author>
    <author>Sebastian Books</author>
    <author>Nikolaus Neuleitner</author>
    <author>Christian Rechenauer</author>
    <author>Oliver Steffens</author>
    <author>Wolfgang Kusterle</author>
    <author>Roland Gömmel</author>
    <author>Felix Wellnitz</author>
    <author>Johannes Stierstorfer</author>
    <author>Dominik Stadler</author>
    <author>Matthias J. Hofmann</author>
    <author>Hubert Motschmann</author>
    <author>Mikhail Shamonin (Chamonine)</author>
    <author>Veronika Bleicher</author>
    <author>Sebastian Fischer</author>
    <author>Rudolf Hackenberg</author>
    <author>Anton Horn</author>
    <author>Raphael Kawasch</author>
    <author>Michael Petzenhauser</author>
    <author>Tobias Probst</author>
    <author>Anton Udalzow</author>
    <author>Florian Dams</author>
    <author>Rupert Schreiner</author>
    <author>Christoph Langer</author>
    <author>Christian Prommesberger</author>
    <author>Robert Damian Ławrowski</author>
    <series>
      <title>Forschungsberichte der OTH Regensburg</title>
      <number>2016</number>
    </series>
    <collection role="institutes" number="HL">Hochschulleitung/Hochschulverwaltung</collection>
    <collection role="othpublikationsherkunft" number="">Von der OTH Regensburg herausgegeben</collection>
    <collection role="persons" number="weberlate">Weber, Karsten (Prof. Dr.) - Labor für Technikfolgenabschätzung und Angewandte Ethik</collection>
    <collection role="institutes" number="IAFW">Zentrum für Forschung und Transfer (ZFT ab 2024; vorher: IAFW)</collection>
    <collection role="persons" number="sternerfenes">Sterner, Michael (Prof. Dr.) - FENES / Forschungsgruppe Energiespeicher</collection>
    <collection role="persons" number="hauglasofo">Haug, Sonja (Prof. Dr.) - Labor Empirische Sozialforschung</collection>
    <thesisPublisher>Ostbayerische Technische Hochschule Regensburg</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-oth-regensburg/files/1384/Forschungsbericht_OTHR_2016.pdf</file>
  </doc>
  <doc>
    <id>7335</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>article</type>
    <publisherName>Elsevier</publisherName>
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    <title language="eng">CausalOps - Towards an industrial lifecycle for causal probabilistic graphical models</title>
    <abstract language="eng">Context: &#13;
Causal probabilistic graph-based models have gained widespread utility, enabling the modeling of cause-and-effect relationships across diverse domains. With their rising adoption in new areas, such as safety analysis of complex systems, software engineering, and machine learning, the need for an integrated lifecycle framework akin to DevOps and MLOps has emerged. Currently, such a reference for organizations interested in employing causal engineering is missing. This lack of guidance hinders the incorporation and maturation of causal methods in the context of real-life applications.&#13;
&#13;
Objective: &#13;
This work contextualizes causal model usage across different stages and stakeholders and outlines a holistic view of creating and maintaining them within the process landscape of an organization.&#13;
&#13;
Method: &#13;
A novel lifecycle framework for causal model development and application called CausalOps is proposed. By defining key entities, dependencies, and intermediate artifacts generated during causal engineering, a consistent vocabulary and workflow model to guide organizations in adopting causal methods are established.&#13;
&#13;
Results: &#13;
Based on the early adoption of the discussed methodology to a real-life problem within the automotive domain, an experience report underlining the practicability and challenges of the proposed approach is discussed.&#13;
&#13;
Conclusion: &#13;
It is concluded that besides current technical advancements in various aspects of causal engineering, an overarching lifecycle framework that integrates these methods into organizational practices is missing. Although diverse skills from adjacent disciplines are widely available, guidance on how to transfer these assets into causality-driven practices still need to be addressed in the published literature. CausalOps’ aim is to set a baseline for the adoption of causal methods in practical applications within interested organizations and the causality community.</abstract>
    <parentTitle language="eng">Information and Software Technology</parentTitle>
    <identifier type="issn">0950-5849</identifier>
    <identifier type="doi">10.1016/j.infsof.2024.107520</identifier>
    <identifier type="urn">urn:nbn:de:bvb:898-opus4-73350</identifier>
    <note>Corresponding author der OTH Regensburg: Robert Maier</note>
    <enrichment key="opus.source">doi-import</enrichment>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <enrichment key="CorrespondingAuthor">Robert Maier</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Robert Maier</author>
    <author>Andreas Schlattl</author>
    <author>Thomas Guess</author>
    <author>Jürgen Mottok</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Causal engineering</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Model lifecycle</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>MLOps</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Causal graphical models</value>
    </subject>
    <collection role="institutes" number="FakEI">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="othforschungsschwerpunkt" number="16311">Digitalisierung</collection>
    <collection role="oaweg" number="">Hybrid Open Access - OA-Veröffentlichung in einer Subskriptionszeitschrift/-medium</collection>
    <collection role="oaweg" number="">Corresponding author der OTH Regensburg</collection>
    <collection role="institutes" number="">Laboratory for Safe and Secure Systems (LAS3)</collection>
    <collection role="funding" number="">DEAL Elsevier</collection>
    <thesisPublisher>Ostbayerische Technische Hochschule Regensburg</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-oth-regensburg/files/7335/Maier_IST_2024.pdf</file>
  </doc>
  <doc>
    <id>3082</id>
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    <publishedYear>2017</publishedYear>
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    <language>eng</language>
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    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue>1</issue>
    <volume>9</volume>
    <type>article</type>
    <publisherName>Springer Nature</publisherName>
    <publisherPlace/>
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    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
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    <title language="eng">Accurate laser scanner to camera calibration with application to range sensor evaluation</title>
    <abstract language="eng">Multi-modal sensory data plays an important role in many computer vision and robotics tasks. One popular multi-modal pair is cameras and laser scanners. To overlay and jointly use the data from both modalities, it is necessary to calibrate the sensors, i.e., to obtain the spatial relation between the sensors.&#13;
Computing such a calibration is challenging as both sensors provide quite different data: cameras yield color or brightness information, laser scanners yield 3-D points. However, several laser scanners additionally provide reflectances, which turn out to make calibration to a camera well feasible. To this end, we first estimate a rough alignment of the coordinate systems of both modalities. Then, we use the laser scanner reflectances to compute a virtual image of the scene. Stereo calibration on the virtual image and the camera image are then used to compute a refined, high-accuracy calibration.&#13;
It is encouraging that the accuracies in our experiments are comparable to camera-camera stereo setups and outperform another of other target-based calibration approach. This shows that the proposed algorithm reliably integrates the point cloud with the intensity image. As an example application, we use the calibration results to obtain ground-truth distance images for range cameras. Furthermore, we utilize this data to investigate the accuracy of the Microsoft Kinect V2 time-of-flight and the Intel RealSense R200 structured light camera.</abstract>
    <parentTitle language="eng">IPSJ Transactions on Computer Vision and Applications</parentTitle>
    <identifier type="doi">10.1186/s41074-017-0032-5</identifier>
    <enrichment key="opus.import.date">2022-03-17T05:53:40+00:00</enrichment>
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    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Peter Fuersattel</author>
    <author>Claus Plank</author>
    <author>Andreas Maier</author>
    <author>Christian Riess</author>
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      <type>uncontrolled</type>
      <value>Kinect V2</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Laser scanner</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Range camera</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>RealSense R200</value>
    </subject>
    <collection role="institutes" number="FakBau">Fakultät Bauingenieurwesen</collection>
    <collection role="othpublikationsherkunft" number="">Externe Publikationen</collection>
    <collection role="oaweg" number="">Gold Open Access- Erstveröffentlichung in einem/als Open-Access-Medium</collection>
    <collection role="othforschungsschwerpunkt" number="16317">Sensorik</collection>
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