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    <volume>2020</volume>
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    <type>article</type>
    <publisherName>Elsevier</publisherName>
    <publisherPlace>London</publisherPlace>
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    <completedDate>2022-02-10</completedDate>
    <publishedDate>--</publishedDate>
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    <title language="eng">Mitotic count in canine cutaneous mast cell tumours</title>
    <parentTitle language="eng">Journal of Comparative Pathology</parentTitle>
    <subTitle language="eng">not accurate but reproducible</subTitle>
    <identifier type="issn">1532-3129</identifier>
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    <author>
      <first_name>Christof</first_name>
      <last_name>Bertram</last_name>
    </author>
    <author>
      <first_name>Marc</first_name>
      <last_name>Aubreville</last_name>
    </author>
    <author>
      <first_name>Corinne</first_name>
      <last_name>Gurtner</last_name>
    </author>
    <author>
      <first_name>Alexander</first_name>
      <last_name>Bartel</last_name>
    </author>
    <author>
      <first_name>Sarah M.</first_name>
      <last_name>Corner</last_name>
    </author>
    <author>
      <first_name>Martina</first_name>
      <last_name>Dettwiler</last_name>
    </author>
    <author>
      <first_name>Olivia</first_name>
      <last_name>Kershaw</last_name>
    </author>
    <author>
      <first_name>Erica L.</first_name>
      <last_name>Noland</last_name>
    </author>
    <author>
      <first_name>Anja</first_name>
      <last_name>Schmidt</last_name>
    </author>
    <author>
      <first_name>Dodd G.</first_name>
      <last_name>Sledge</last_name>
    </author>
    <author>
      <first_name>Rebecca C.</first_name>
      <last_name>Smedley</last_name>
    </author>
    <author>
      <first_name>Tuddow</first_name>
      <last_name>Thaiwong</last_name>
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    <author>
      <first_name>Matti</first_name>
      <last_name>Kiupel</last_name>
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    <author>
      <first_name>Andreas</first_name>
      <last_name>Maier</last_name>
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    <author>
      <first_name>Robert</first_name>
      <last_name>Klopfleisch</last_name>
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  </doc>
  <doc>
    <id>2628</id>
    <completedYear/>
    <publishedYear>2018</publishedYear>
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    <language>eng</language>
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    <completedDate>2022-08-09</completedDate>
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    <title language="eng">Classification of Polyethylene Particles and the Local CD3+ Lymphocytosis in Histological Slices</title>
    <parentTitle language="eng">Bildverarbeitung für die Medizin 2018</parentTitle>
    <identifier type="isbn">978-3-662-56536-0</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1007/978-3-662-56537-7_63</enrichment>
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    <author>
      <first_name>Lara-Maria</first_name>
      <last_name>Steffes</last_name>
    </author>
    <editor>
      <first_name>Andreas</first_name>
      <last_name>Maier</last_name>
    </editor>
    <author>
      <first_name>Marc</first_name>
      <last_name>Aubreville</last_name>
    </author>
    <editor>
      <first_name>Thomas Martin</first_name>
      <last_name>Deserno</last_name>
    </editor>
    <author>
      <first_name>Stefan</first_name>
      <last_name>Sesselmann</last_name>
    </author>
    <editor>
      <first_name>Heinz</first_name>
      <last_name>Handels</last_name>
    </editor>
    <author>
      <first_name>Veit</first_name>
      <last_name>Krenn</last_name>
    </author>
    <editor>
      <first_name>Klaus H.</first_name>
      <last_name>Maier-Hein</last_name>
    </editor>
    <author>
      <first_name>Andreas</first_name>
      <last_name>Maier</last_name>
    </author>
    <editor>
      <first_name>Christoph</first_name>
      <last_name>Palm</last_name>
    </editor>
    <editor>
      <first_name>Thomas</first_name>
      <last_name>Tolxdorff</last_name>
    </editor>
  </doc>
  <doc>
    <id>3881</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>5</pageNumber>
    <edition/>
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    <volume/>
    <articleNumber/>
    <type>preprint</type>
    <publisherName>arXiv</publisherName>
    <publisherPlace>Ithaca</publisherPlace>
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    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
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    <title language="eng">Mind the Gap: Scanner-induced domain shifts pose challenges for representation learning in histopathology</title>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.48550/arXiv.2211.16141</enrichment>
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    <author>
      <first_name>Frauke</first_name>
      <last_name>Wilm</last_name>
    </author>
    <author>
      <first_name>Marco</first_name>
      <last_name>Fragoso-Garcia</last_name>
    </author>
    <author>
      <first_name>Christof</first_name>
      <last_name>Bertram</last_name>
    </author>
    <author>
      <first_name>Nikolas</first_name>
      <last_name>Stathonikos</last_name>
    </author>
    <author>
      <first_name>Mathias</first_name>
      <last_name>Öttl</last_name>
    </author>
    <author>
      <first_name>Jingna</first_name>
      <last_name>Qiu</last_name>
    </author>
    <author>
      <first_name>Robert</first_name>
      <last_name>Klopfleisch</last_name>
    </author>
    <author>
      <first_name>Andreas</first_name>
      <last_name>Maier</last_name>
    </author>
    <author>
      <first_name>Marc</first_name>
      <last_name>Aubreville</last_name>
    </author>
    <author>
      <first_name>Katharina</first_name>
      <last_name>Breininger</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Histopathology</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Domain Shift</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Representation Learning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Barlow Twins</value>
    </subject>
    <collection role="institutes" number="19309">Fakultät Informatik</collection>
    <collection role="institutes" number="19379">AImotion Bavaria</collection>
  </doc>
  <doc>
    <id>2194</id>
    <completedYear/>
    <publishedYear>2017</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>21</pageFirst>
    <pageLast>25</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
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    <type>conferenceobject</type>
    <publisherName>Eurographics Association</publisherName>
    <publisherPlace>Goslar</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2022-03-30</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A Guided Spatial Transformer Network for Histology Cell Differentiation</title>
    <parentTitle language="eng">VCBM '17: Proceedings of the Eurographics Workshop on Visual Computing for Biology and Medicine</parentTitle>
    <identifier type="isbn">978-3-03868-036-9</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.2312/vcbm.20171233</enrichment>
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    <enrichment key="THI_conferenceName">EG VCBM 2017 Eurographics Workshop on Visual Computing for Biology and Medicine, Bremen (Germany), 07.-08.09.2017</enrichment>
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    <enrichment key="THI_furtherversion">https://opus4.kobv.de/opus4-haw/frontdoor/index/index/docId/1255</enrichment>
    <author>
      <first_name>Marc</first_name>
      <last_name>Aubreville</last_name>
    </author>
    <author>
      <first_name>Maximilian</first_name>
      <last_name>Krappmann</last_name>
    </author>
    <author>
      <first_name>Christof</first_name>
      <last_name>Bertram</last_name>
    </author>
    <author>
      <first_name>Robert</first_name>
      <last_name>Klopfleisch</last_name>
    </author>
    <author>
      <first_name>Andreas</first_name>
      <last_name>Maier</last_name>
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  </doc>
  <doc>
    <id>1249</id>
    <completedYear/>
    <publishedYear>2018</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>309</pageFirst>
    <pageLast>314</pageLast>
    <pageNumber/>
    <edition/>
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    <type>conferenceobject</type>
    <publisherName>Springer Vieweg</publisherName>
    <publisherPlace>Berlin</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2022-02-15</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">SlideRunner</title>
    <abstract language="eng">Large-scale image data such as digital whole-slide histology images pose a challenging task at annotation software solutions. Today, a number of good solutions with varying scopes exist. For cell annotation, however, we find that many do not match the prerequisites for fast annotations. Especially in the field of mitosis detection, it is assumed that detection accuracy could significantly benefit from larger annotation databases that are currently however very troublesome to produce. Further, multiple independent (blind) expert labels are a big asset for such databases, yet there is currently no tool for this kind of annotation available. To ease this tedious process of expert annotation and grading, we introduce SlideRunner, an open source annotation and visualization tool for digital histopathology, developed in close cooperation with two pathologists. SlideRunner is capable of setting annotations like object centers (for e.g. cells) as well as object boundaries (e.g. for tumor outlines). It provides single-click annotations as well as a blind mode for multi-annotations, where the expert is directly shown the microscopy image containing the cells that he has not yet rated.</abstract>
    <parentTitle language="eng">Bildverarbeitung für die Medizin 2018: Algorithmen - Systeme - Anwendungen</parentTitle>
    <subTitle language="eng">a tool for massive cell annotations in whole slide images</subTitle>
    <identifier type="isbn">978-3-662-56537-7</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1007/978-3-662-56537-7_81</enrichment>
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    <enrichment key="THI_conferenceName">Bildverarbeitung für die Medizin 2018, Erlangen, 11.-13. März 2018</enrichment>
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    <author>
      <first_name>Marc</first_name>
      <last_name>Aubreville</last_name>
    </author>
    <author>
      <first_name>Christof</first_name>
      <last_name>Bertram</last_name>
    </author>
    <author>
      <first_name>Robert</first_name>
      <last_name>Klopfleisch</last_name>
    </author>
    <author>
      <first_name>Andreas</first_name>
      <last_name>Maier</last_name>
    </author>
  </doc>
  <doc>
    <id>1917</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>24</pageFirst>
    <pageLast>32</pageLast>
    <pageNumber/>
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    <publisherName>Springer</publisherName>
    <publisherPlace>Cham</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2022-03-11</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Are Fast Labeling Methods Reliable? A Case Study of Computer-Aided Expert Annotations on Microscopy Slides</title>
    <parentTitle language="eng">Medical Image Computing and Computer Assisted Intervention – MICCAI 2020</parentTitle>
    <identifier type="issn">1611-3349</identifier>
    <identifier type="isbn">978-3-030-59710-8</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1007/978-3-030-59710-8_3</enrichment>
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    <enrichment key="THI_conferenceName">Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, online, 04.-08.10.2020</enrichment>
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    <enrichment key="THI_furtherversion">https://opus4.kobv.de/opus4-haw/frontdoor/index/index/docId/1257</enrichment>
    <author>
      <first_name>Christian</first_name>
      <last_name>Marzahl</last_name>
    </author>
    <author>
      <first_name>Christof</first_name>
      <last_name>Bertram</last_name>
    </author>
    <author>
      <first_name>Marc</first_name>
      <last_name>Aubreville</last_name>
    </author>
    <author>
      <first_name>Anne</first_name>
      <last_name>Petrick</last_name>
    </author>
    <author>
      <first_name>Kristina</first_name>
      <last_name>Weiler</last_name>
    </author>
    <author>
      <first_name>Agnes C.</first_name>
      <last_name>Gläsel</last_name>
    </author>
    <author>
      <first_name>Marco</first_name>
      <last_name>Fragoso-Garcia</last_name>
    </author>
    <author>
      <first_name>Sophie</first_name>
      <last_name>Merz</last_name>
    </author>
    <author>
      <first_name>Florian</first_name>
      <last_name>Bartenschlager</last_name>
    </author>
    <author>
      <first_name>Judith</first_name>
      <last_name>Hoppe</last_name>
    </author>
    <author>
      <first_name>Alina</first_name>
      <last_name>Langenhagen</last_name>
    </author>
    <author>
      <first_name>Anne-Katherine</first_name>
      <last_name>Jasensky</last_name>
    </author>
    <author>
      <first_name>Jörn</first_name>
      <last_name>Voigt</last_name>
    </author>
    <author>
      <first_name>Robert</first_name>
      <last_name>Klopfleisch</last_name>
    </author>
    <author>
      <first_name>Andreas</first_name>
      <last_name>Maier</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Pathology</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Microscopy</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Computer-aided labelling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Expert-algorithm collaboration</value>
    </subject>
  </doc>
  <doc>
    <id>1440</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>6949</pageFirst>
    <pageLast>6953</pageLast>
    <pageNumber/>
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    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway</publisherPlace>
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    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2022-02-24</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">CLCNET: deep learning-based noise reduction for hearing aids using complex linear coding</title>
    <parentTitle language="eng">ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</parentTitle>
    <identifier type="isbn">978-1-5090-6631-5</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1109/ICASSP40776.2020.9053563</enrichment>
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    <enrichment key="THI_conferenceName">ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), online, 04.-08.05.2020</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <author>
      <first_name>H.</first_name>
      <last_name>Schröter</last_name>
    </author>
    <author>
      <first_name>Tobias</first_name>
      <last_name>Rosenkranz</last_name>
    </author>
    <author>
      <first_name>A. N.</first_name>
      <last_name>Escalante-B</last_name>
    </author>
    <author>
      <first_name>Marc</first_name>
      <last_name>Aubreville</last_name>
    </author>
    <author>
      <first_name>Andreas</first_name>
      <last_name>Maier</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>noise reduction</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>speech enhancement</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>LPC</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>hearing aid signal processing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>deep learning</value>
    </subject>
    <collection role="institutes" number="19309">Fakultät Informatik</collection>
  </doc>
  <doc>
    <id>1252</id>
    <completedYear/>
    <publishedYear>2019</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>13</pageFirst>
    <pageLast>22</pageLast>
    <pageNumber/>
    <edition/>
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    <volume/>
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    <type>conferenceobject</type>
    <publisherName>Springer</publisherName>
    <publisherPlace>Singapore</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2022-02-15</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Classification of leukemic b-lymphoblast cells from blood smear microscopic images with an attention-based deep learning method and advanced augmentation techniques</title>
    <parentTitle language="eng">ISBI 2019 C-NMC challenge: classification in cancer cell imaging</parentTitle>
    <identifier type="isbn">978-981-15-0797-7</identifier>
    <identifier type="isbn">978-981-15-0798-4</identifier>
    <identifier type="isbn">978-981-15-0800-4</identifier>
    <identifier type="issn">2195-271X</identifier>
    <identifier type="issn">2195-2728</identifier>
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    <enrichment key="THI_conferenceName">IEEE International Symposium on Biomedical Imaging, Venice (Italy), 8.-11.04.2019</enrichment>
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    <author>
      <first_name>Christian</first_name>
      <last_name>Marzahl</last_name>
    </author>
    <author>
      <first_name>Marc</first_name>
      <last_name>Aubreville</last_name>
    </author>
    <author>
      <first_name>Jörn</first_name>
      <last_name>Voigt</last_name>
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    <author>
      <first_name>Andreas</first_name>
      <last_name>Maier</last_name>
    </author>
  </doc>
  <doc>
    <id>1919</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>204</pageFirst>
    <pageLast>213</pageLast>
    <pageNumber/>
    <edition/>
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    <type>conferenceobject</type>
    <publisherName>Springer</publisherName>
    <publisherPlace>Cham</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2022-03-11</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Are Pathologist-Defined Labels Reproducible? Comparison of the TUPAC16 Mitotic Figure Dataset with an Alternative Set of Labels</title>
    <parentTitle language="eng">Interpretable and Annotation-Efficient Learning for Medical Image Computing</parentTitle>
    <identifier type="issn">1611-3349</identifier>
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    <title language="eng">Feasibility of Optical Biopsy During Endoscopic Sinus Surgery With Confocal Laser Endomicroscopy: A Pilot Study</title>
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Although there is substantial data on CLE use in the upper GI tract, there is limited information regarding its application in the nasal cavity and paranasal sinuses. This study aims to assess the feasibility and diagnostic metrics of CLE in the nasal cavity and paranasal sinuses regarding differentiation between healthy\/benign and malignant tissue. These structures show, however, a wider variety of frequent and concomitant benign and malignant pathologies, which could pose an increased challenge for optical biopsy by CLE.&lt;\/jats:p&gt;&lt;\/jats:sec&gt;&lt;jats:sec&gt;&lt;jats:title&gt;Methods&lt;\/jats:title&gt;&lt;jats:p&gt;We performed CLE on a case series of six patients with various findings in the nose (three chronic rhinosinusitis, adenocarcinoma, meningoenzephalozele, esthesionneuroblastoma). Forty\u2010two sequences (3792 images) from various structures in the nasal cavity and\/or paranasal sinuses were acquired. 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      <first_name>Satoshi</first_name>
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    <author>
      <first_name>Kathrin</first_name>
      <last_name>Becker</last_name>
    </author>
    <author>
      <first_name>Mark</first_name>
      <last_name>Bennett</last_name>
    </author>
    <author>
      <first_name>Sarah M.</first_name>
      <last_name>Corner</last_name>
    </author>
    <author>
      <first_name>Brieuc</first_name>
      <last_name>Cossic</last_name>
    </author>
    <author>
      <first_name>Daniela</first_name>
      <last_name>Denk</last_name>
    </author>
    <author>
      <first_name>Martina</first_name>
      <last_name>Dettwiler</last_name>
    </author>
    <author>
      <first_name>Beatriz</first_name>
      <last_name>Garcia Gonzalez</last_name>
    </author>
    <author>
      <first_name>Corinne</first_name>
      <last_name>Gurtner</last_name>
    </author>
    <author>
      <first_name>Annabelle</first_name>
      <last_name>Heier</last_name>
    </author>
    <author>
      <first_name>Annika</first_name>
      <last_name>Lehmbecker</last_name>
    </author>
    <author>
      <first_name>Sophie</first_name>
      <last_name>Merz</last_name>
    </author>
    <author>
      <first_name>Stephanie</first_name>
      <last_name>Plog</last_name>
    </author>
    <author>
      <first_name>Anja</first_name>
      <last_name>Schmidt</last_name>
    </author>
    <author>
      <first_name>Franziska</first_name>
      <last_name>Sebastian</last_name>
    </author>
    <author>
      <first_name>Rebecca C.</first_name>
      <last_name>Smedley</last_name>
    </author>
    <author>
      <first_name>Marco</first_name>
      <last_name>Tecilla</last_name>
    </author>
    <author>
      <first_name>Tuddow</first_name>
      <last_name>Thaiwong</last_name>
    </author>
    <author>
      <first_name>Katharina</first_name>
      <last_name>Breininger</last_name>
    </author>
    <author>
      <first_name>Matti</first_name>
      <last_name>Kiupel</last_name>
    </author>
    <author>
      <first_name>Andreas</first_name>
      <last_name>Maier</last_name>
    </author>
    <author>
      <first_name>Robert</first_name>
      <last_name>Klopfleisch</last_name>
    </author>
    <author>
      <first_name>Marc</first_name>
      <last_name>Aubreville</last_name>
    </author>
    <collection role="institutes" number="19309">Fakultät Informatik</collection>
  </doc>
</export-example>
