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  <doc>
    <id>8225</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>2329</pageFirst>
    <pageLast>2342</pageLast>
    <pageNumber/>
    <edition/>
    <issue>9</issue>
    <volume>40</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2021-09-09</completedDate>
    <publishedDate>2021-05-03</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">AutoImplant 2020 - First MICCAI Challenge on Automatic Cranial Implant Design</title>
    <abstract language="eng">The aim of this paper is to provide a comprehensive overview of the MICCAI 2020 AutoImplant Challenge. The approaches and publications submitted and accepted within the challenge will be summarized and reported, highlighting common algorithmic trends and algorithmic diversity. Furthermore, the evaluation results will be presented, compared and discussed in regard to the challenge aim: seeking for low cost, fast and fully automated solutions for cranial implant design. Based on feedback from collaborating neurosurgeons, this paper concludes by stating open issues and post-challenge requirements for intra-operative use.</abstract>
    <parentTitle language="eng">IEEE Transactions on Medical Imaging</parentTitle>
    <identifier type="doi">10.1109/TMI.2021.3077047</identifier>
    <identifier type="issn">0278-0062</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="AcceptedDate">2021-04-28</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>Jianning Li</author>
    <submitter>Stefan Zachow</submitter>
    <author>Pedro Pimentel</author>
    <author>Angelika Szengel</author>
    <author>Moritz Ehlke</author>
    <author>Hans Lamecker</author>
    <author>Stefan Zachow</author>
    <author>Laura Estacio</author>
    <author>Christian Doenitz</author>
    <author>Heiko Ramm</author>
    <author>Haochen Shi</author>
    <author>Xiaojun Chen</author>
    <author>Franco Matzkin</author>
    <author>Virginia Newcombe</author>
    <author>Enzo Ferrante</author>
    <author>Yuan Jin</author>
    <author>David G. Ellis</author>
    <author>Michele R. Aizenberg</author>
    <author>Oldrich Kodym</author>
    <author>Michal Spanel</author>
    <author>Adam Herout</author>
    <author>James G. Mainprize</author>
    <author>Zachary Fishman</author>
    <author>Michael R. Hardisty</author>
    <author>Amirhossein Bayat</author>
    <author>Suprosanna Shit</author>
    <author>Bomin Wang</author>
    <author>Zhi Liu</author>
    <author>Matthias Eder</author>
    <author>Antonio Pepe</author>
    <author>Christina Gsaxner</author>
    <author>Victor Alves</author>
    <author>Ulrike Zefferer</author>
    <author>Cord von Campe</author>
    <author>Karin Pistracher</author>
    <author>Ute Schäfer</author>
    <author>Dieter Schmalstieg</author>
    <author>Bjoern H. Menze</author>
    <author>Ben Glocker</author>
    <author>Jan Egger</author>
    <collection role="institutes" number="medplan">Therapy Planning</collection>
    <collection role="persons" number="lamecker">Lamecker, Hans</collection>
    <collection role="persons" number="zachow">Zachow, Stefan</collection>
    <collection role="projects" number="Cranio">Cranio</collection>
    <collection role="projects" number="MODAL-MedLab">MODAL-MedLab</collection>
    <collection role="projects" number="Modal-Seg">Modal-Seg</collection>
    <collection role="projects" number="MODAL-Gesamt">MODAL-Gesamt</collection>
    <collection role="institutes" number="MfLMS">Mathematics for Life and Materials Science</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
  </doc>
  <doc>
    <id>10167</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue>Part D</issue>
    <volume>299</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2025-10-17</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Beyond Benchmarks: Towards Robust Artificial Intelligence Bone Segmentation in Socio-Technical Systems</title>
    <abstract language="eng">Despite the advances in automated medical image segmentation, AI models still underperform in various clinical settings, challenging real-world integration. In this multicenter evaluation, we analyzed 20 state-of-the-art mandibular segmentation models across 19,218 segmentations of 1,000 clinically resampled CT/CBCT scans. We show that segmentation accuracy varies by up to 25% depending on socio-technical factors such as voxel size, bone orientation, and patient conditions such as osteosynthesis or pathology. Higher sharpness, isotropic smaller voxels, and neutral orientation significantly improved results, while metallic osteosynthesis and anatomical complexity led to significant degradation. Our findings challenge the common view of AI models as “plug-and-play” tools and suggest evidence-based optimization recommendations for both clinicians and developers. This will in turn boost the integration of AI segmentation tools in routine healthcare.</abstract>
    <parentTitle language="eng">Expert Systems With Applications</parentTitle>
    <identifier type="url">https://www.medrxiv.org/content/10.1101/2025.06.11.25329022v1</identifier>
    <identifier type="doi">10.1016/j.eswa.2025.130031</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <author>Kunpeng Xie</author>
    <submitter>Stefan Zachow</submitter>
    <author>Lennart Johannes Gruber</author>
    <author>Martin Crampen</author>
    <author>Yao Li</author>
    <author>André Ferreira</author>
    <author>Elias Tappeiner</author>
    <author>Maxime Gillot</author>
    <author>Jan Schepers</author>
    <author>Jiangchang Xu</author>
    <author>Tobias Pankert</author>
    <author>Michel Beyer</author>
    <author>Negar Shahamiri</author>
    <author>Reinier ten Brink</author>
    <author>Gauthier Dot</author>
    <author>Charlotte Weschke</author>
    <author>Niels van Nistelrooij</author>
    <author>Pieter-Jan Verhelst</author>
    <author>Yan Guo</author>
    <author>Zhibin Xu</author>
    <author>Jonas Bienzeisler</author>
    <author>Ashkan Rashad</author>
    <author>Tabea Flügge</author>
    <author>Ross Cotton</author>
    <author>Shankeeth Vinayahalingam</author>
    <author>Robert Ilesan</author>
    <author>Stefan Raith</author>
    <author>Dennis Madsen</author>
    <author>Constantin Seibold</author>
    <author>Tong Xi</author>
    <author>Stefaan Bergé</author>
    <author>Sven Nebelung</author>
    <author>Oldřich Kodym</author>
    <author>Osku Sundqvist</author>
    <author>Florian Thieringer</author>
    <author>Hans Lamecker</author>
    <author>Antoine Coppens</author>
    <author>Thomas Potrusil</author>
    <author>Joep Kraeima</author>
    <author>Max Witjes</author>
    <author>Guomin Wu</author>
    <author>Xiaojun Chen</author>
    <author>Adriaan Lambrechts</author>
    <author>Lucia H Soares Cevidanes</author>
    <author>Stefan Zachow</author>
    <author>Alexander Hermans</author>
    <author>Daniel Truhn</author>
    <author>Victor Alves</author>
    <author>Jan Egger</author>
    <author>Rainer Röhrig</author>
    <author>Frank Hölzle</author>
    <author>Behrus Puladi</author>
    <collection role="persons" number="lamecker">Lamecker, Hans</collection>
    <collection role="persons" number="zachow">Zachow, Stefan</collection>
    <collection role="projects" number="MODAL-MedLab">MODAL-MedLab</collection>
    <collection role="projects" number="Modal-Seg">Modal-Seg</collection>
    <collection role="projects" number="MODAL-Gesamt">MODAL-Gesamt</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
  </doc>
</export-example>
