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THESEUS-Anwendungszenario MEDICO

 

Organisationen:

  • Siemens AG
  • DFKI (Deutsches Forschungszentrum für Künstliche Intelligenz)
  • Fraunhofer IGD (Institut für Graphische Datenverarbeitung)
  • Ludwig-Maximilians-Universität München (Lehr- und Forschungseinheit für Datenbanksysteme)
  • Universitätsklinikum Erlangen

Kontakt:

Sascha Seifert, Siemens AG


Zielsetzung:

Im Use Case MEDICO soll eine universell einsetzbare Suchmaschine für medizinische Bilder entstehen. Sie soll einen direkten, semantischen Zugang zu medizinischen Bilddatenbanken ermöglichen, um so individualisierte Diagnosen und Therapieplanungen sowie biomedizinische und epidemiologische Forschungen zu unterstützen. Zielgruppe sind vor allem Ärzte, Forscher sowie Applikationsentwickler in den Bereichen Medizininformatik und Healthcare-IT.
Das MEDICO-Anwendungsszenario beruht auf folgender Vision: Schaffung einer Bildsyntax und semantikbasierter Bildvokabularien, die den Aufbau einer intelligenten, skalierbaren und robusten Suchmaschine für den medizinischen Bereich ermöglichen. Dies beinhaltet insbesondere auch Anwendungen in den Bereichen Clinical Decision Support und Computer Aided Diagnosis.

Präsentationen:

  • Medico: Übersichtspräsentation
  • Thomas Roth-Berghofer (DFKI): Explaining Semantic Search Results of Medical Images in MEDICO (Download)
  • Pinar Wennerberg, Sonja Zillner, Manuel Möller, Paul Buitelaar, Michael Sintek: KEMM: A Knowledge Engineering Methodology in the Medical Domain. Saarbrücken, 31.10.2008 (Download)
  • Pinar Wennerberg and Sonja Zillner. “Semantic Technologies for Advanced Medical Image and Information Search”. In Proceeding of the European Semantic Technology Conference (ESTC), Vienna, Austria, September 2008. (Download)

 

Wissenschaftliche Publikationen:

2010

  • Sascha Seifert, Michael Kelm, Manuel Möller, Saikat Mukherjee, Alexander Cavallaro, Martin Huber, Dorin Comaniciu: "Semantic Annotation of Medical Images", to appear in Proc. of SPIE Medical Imaging, San Diego, 13 – 18 February 2010 
  • Daniel Sonntag, Martin Huber, Manuel Möller, Alassane Ndiaye, Sonja Zillner, Alexander Cavallaro: "Design and Implementation of a Semantic Dialogue System for Radiologists", book chapter in "Semantic Web: Standards, Tools and Ontologies", Nova Science Publishers, Inc., 2010
  • Manuel Möller, Patrick Ernst, Michael Sintek, Sascha Seifert, Gunnar Grimnes, Alexander Cavallaro, Andreas Dengel: "Combining Patient Metadata Extraction and Automatic Image Parsing for the Generation of an Anatomic Atlas", in Proc. of the 14th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2010), Cardiff, UK, 8-10 September 2010
  • Sonja Zillner. Reasoning-based Patient Classification for Enhanced Medical Image Annotations, 7th Extended Semantic Web Conference (ESWC2010). Lecture Notes in Computer Science, Volume 6088/2010, p. 243-257
  • Daniel Sonntag, Pinar Wennerberg, Sonja Zillner (2010). Applications of an Ontology Engineering Methodology Accessing Linked Data for Medical Image Retrieval. In Proc. of the AAAI 2010 Spring Symposium on Linked Data Meets Artificial Intelligence, Stanford, San Francisco USA.
  • Ingmar Voigt, Dime Vitanovski, Razvan Ionasec, Alexey Tysmbal, Bogdan Georgescu, Shaohua Zhou, Martin Huber, Nassir Navab, Jürgen Hornegger, Dorin Comaniciu : "Learning discriminative distance functions for valve retrieval and improved decision support in valvular heart disease", SPIE Medical Imaging, San Diego, USA, 2010.

2009

  • Manuel Möller, Sven Regel, Michael Sintek: RadSem: Semantic Annotation and Retrieval for Medical Images (Abstract) (Download)
  • Manuel Möller, Nitya Vyas, Michael Sintek, Sven Regel, Saikat Mukherjee: Visual Query Construction for Cross-Modal Semantic Retrieval of Medical Information (Abstract) (Download)
  • Björn Forcher, Manuel Möller, Michael Sintek, Thomas Roth-Berghofer: Explanation of Semantic Search Results of Medical Images in THESEUS MEDICO. (Abstract) (Download)
  • Johannes Feulner, Shaohua K. Zhou, Sascha Seifert, Alexander Cavallaro, Joachim M. Hornegger, Dorin Comaniciu. “Estimating the body portion of CT volumes by matching histograms of visual words”. Proc. 'SPIE Medical Imaging', 2009 (Abstract)
  • S. Seifert, A. Barbu, K. Zhou, D. Liu, J. Feulner, M. Huber, M. Suehling, A. Cavallaro and D. Comaniciu, “Hierarchical Parsing and Semantic Navigation of Full Body CT Data”, Proc. 'SPIE Medical Imaging', 2009 (Download) 
  • Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alex Smola, Le Song, Philip Yu, Xifeng Yan, Karsten Borgwardt, "Near-optimal supervised feature selection among frequent subgraphs", SDM 2009, Sparks, Nevada, USA (Download) 
  • P. Wennerberg, M. Möller, P. Buitelaar, S. Zillner. “Ontology Based Clinical Query Extraction”, to appear in Proceedings of the 2009 AMIA Summit on Translational Bioinformatics, San Francisco, USA, March 2009 (Abstract) 
  • P. Wennerberg, S. Zillner, P. Buitelaar. „Interactive Clinical Query Derivation and Evaluation”. To appear in Proceedings of the AAAI Spring Symposium on Technosocial Predictive Analytics, Stanford, USA, March 2009. (Download) 
  • P. Wennerberg. „Aligning Medical Domain Ontologies for Clinical Query Extraction“.Proceedings of the EACL PhD Symposium, Athens, Greece, 2009 (Download)
  • D. Sonntag, P. Wennerberg, P. Buitelaar, S. Zillner. „Pillars of Ontology Treatment in the Medical Domain.” . In Kalfoglou Y. (Editor): Cases on Semantic Interoperability for Information Systems Integration: Practices and Applications.
  • P. Wennerberg, M. Möller, S. Zillner. “Towards Context Driven Modularization of Large Biomedical Ontologies“.Proceedings of the International Conference of Biomedical Ontology (ICBO2009), Buffalo, New York, July 2009.
  • Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alex Smola, Le Song, Philip Yu, Xifeng Yan, Karsten Borgwardt, "Near-optimal supervised feature selection among frequent subgraphs",  SDM 2009, Sparks, Nevada, USA: pp. 1075-1087. (Download)

2008

  • Mario Crespo Miguel, Paul Buitelaar: Domain-Specific English-To-Spanish Translation of FrameNet. (Download)
  • Hans Hjelm, Paul Buitelaar: Multilingual Evidence Improves Clustering-basedTaxonomy Extraction. (Download)
  • Daniel SONNTAG: Embedded Benchmarking and Expert Authoring for Ontology Mapping and Alignment Generation. in: Eschenbach C. (ed.): Formal Ontology in Information Systems. Fifth International Conference (FOIS 2008). Poster Proceedings. (Download)
  • Daniel Sonntag: Towards Dialogue-Based Interactive Semantic Mediation in the Medical Domain. (Download)
  • P. Buitelaar, P. Wennerberg, S. Zillner. Statistical Term Profiling for Query Pattern Mining. In Proceedings of ACL 2008 BioNLP Workshop (ACL'2008). Columbus, Ohio, USA, June 2008. (Download)
  • Manuel Möller, Michael Sintek, Paul Buitelaar, Saikat Mukherjee, Xiang Sean Zhou, Jörg Freund: “Medical Image Understanding through the Integration of Cross-Modal Object Recognition with Formal Domain Knowledge”, to appear in Proceedings of Healthinf 2008, Madeira, Portugal, January 2008 (Abstract) (Download)
  • Manuel Möller, Christopher Tuot, Michael Sintek: “A Scientific Workflow Platform for Generic and Scalable Object Recognition on Medical Images”, to appear in Proceedings of BVM2008 Workshop, April 2008, Berlin, Germany (Preview)
  • Manuel Möller, Michael Sintek: “A Scalable Architecture for Cross-Modal Semantic Annotation and Retrieval”. in: Andreas R. Dengel, Karsten Berns, Thomas M. Breuel: “KI 2008: Advances in Artificial Intelligence”, Kaiserslautern, Germany, Springer Lecture Notes in Computer Science, September 2008 (Abstract) (Download)
  • Manuel Möller, Michael Sintek, Paul Buitelaar, Saikat Mukherjee, Xiang Sean Zhou, Jörg Freund: “Scalable Medical Image Understanding by Fusing Cross-Modal Object Recognition with Formal Domain Semantics”, in A. Fred, J. Filipe, and H. Gamboa (Eds.): “Best papers of BIOSTEC 2008″, Springer-Verlag Berlin Heidelberg 2008
    (Abstract) (    Download)
  • Manuel Möller, Saikat Mukherjee: “Context-Driven Ontological Annotations in DICOM Iimages: Towards Semantic PACS”, Proc. of BIOSTEC 2009, Porto, Portugal 2009 (Download) 
  • Nils Reiter, Paul Buitelaar: "Lexical Enrichment of a Human Anatomy Ontology using Wordnet" In: Proc. of GWC08 (Global Wordnet Conference), Hungary, Jan. 2008 (Download)
  • P. Wennerberg, S. Zillner, M. Moeller, P. Buitelaar and M. Sintek. „KEMM: A Knowledge Engineering Methodology in the Medical Domain”. In: Proc. of the 5th International Conference on Formal Ontology in Information Systems (FOIS). Saarbrücken, Germany 19 June 2008. (Download)
  • P. Wennerberg, P. Buitelaar, S. Zillner. „Towards a Human Anatomy Data Set for Query Pattern Mining based on Wikipedia and Domain Semantic Resources”. In Proceedings of a Workshop on Building and Evaluating Resources for Biomedical Text Mining (LREC'2008). Marrakech, Marocco 26 May 2008. (Download)
  • X. S. Zhou, S. Zillner, M. Moeller, M. Sintek, Y. Zhan, A. Krishnan, and A. Gupta: “Semantics and CBIR: A Medical Imaging Perspective” In Proceedings of the ACM International Conference on Image and Video Retrieval, July 7-9, 2008, Niagara Falls, Canada (Download)

2007

  • Manuel Möller, Michael Sintek: “A Generic Framework for Semantic Medical Image Retrieval”, Proceedings of the Knowledge Acquisition from Multimedia Content (KAMC). Workshop held at the 2nd international conference on Semantics And digital Media Technologies (SAMT), Genova, Italy from the 5th to the 7th December 2007. (Download).

Software, Softwarebeschreibungen und Dokumentationen

  • zur Zeit noch nicht verfügbar

Online-Demos

  • Videolecture: Pinar Wennerberg (Siemens): Semantic Technologies for Advanced Medical Image and Information Search (Download).

 

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