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ontospm [2016/02/24 18:20]
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ontospm [2016/06/05 09:27] (current)
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 [[http://​www.inserm.fr|{{:​logoinserm.gif?​209}}]] [[http://​www.inserm.fr|{{:​logoinserm.gif?​209}}]]
 [[http://​www.univ-rennes1.fr|{{:​logour1.gif?​200}}]] [[http://​www.univ-rennes1.fr|{{:​logour1.gif?​200}}]]
-[[http://​www.ltsi.univ-rennes1.fr|{{:​logoltsi.png?​65}}]] 
 [[http://​www.iscas.net|{{:​iscas.jpg?​150}}]] [[http://​www.iscas.net|{{:​iscas.jpg?​150}}]]
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 ---- ----
 \\ \\
 +
 ==== Organization ==== ==== Organization ====
  
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     * Pr. Guang-Zhong Yang (Imperial College London, Great Britain), ​     * Pr. Guang-Zhong Yang (Imperial College London, Great Britain), ​
     * Dr. Germain Forestier (Université de Haute Alsace, France)     * Dr. Germain Forestier (Université de Haute Alsace, France)
-  * __Local organizing committee__:​ Fatima Belarbi, Javier Rojas Balderrama, Noémie Buisard+  * __Local organizing committee__:​ Fatima Belarbi, Noémie Buisard, Javier Rojas Balderrama
    
  
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 ==== Invited speakers ==== ==== Invited speakers ====
  
 +**Elena De Momi**, //​Politecnico di Milano, Italy//
  
-Keno März (DKFZ Heidelberg),​ Germany, Darko Katic (KIT Karlsruhe, Germany)+Website: [[http://​www.nearlab.polimi.it]]
  
-** Elena De Momi (Politecnico di Milano, Milan, Italy) ​**+**Bernard Gibaud**, //Inserm, Rennes, France//
  
-//​Ontologies in surgical assistance systems//+Website: [[https://medicis.univ-rennes1.fr/​members/​bernard.gibaud/​index]] 
 + 
 +**Darko Katic**, ​ //KIT, Karlsruhe, Germany// 
 + 
 +**Lena Maier-Hein**,​ //DKFZ, Heidelberg, Germany// 
 + 
 +Website: [[http://​www.dkfz.eu/​en/​mbi/​people/​Lena_Maier-Hein.html]] 
 + 
 +**Keno März**, //DKFZ, Heidelberg, Germany// 
 + 
 +**Juliane Neumann**, //ICCAS, Leipzig, Germany// 
 + 
 +Website: [[https://​www.iccas.de/​uber-iccas/​personen/​juliane-neumann/​]] 
 + 
 +**Armin Schneider**,​ //​Technische Universität München, Germany//  
 + 
 +Website: [[http://​www.miti.med.tum.de/​index.php?​id=86]] 
 + 
 +**Paulo Jorge Sequeira Gonçalves**,​ //​Polytechnic Institute of Castelo Branco, Portugal//​ 
 + 
 +Website: [[http://​pessoas.ipcb.pt/​paulo.goncalves/​]] 
 + 
 +**Guang-Zhong Yang**, //Imperial College London, UK// 
 + 
 +Website: [[http://​www.imperial.ac.uk/​hamlyn-centre/​]] 
 + 
 +---- 
 +\\ 
 + 
 +==== Final Program ==== 
 + 
 +Download the {{:​ontospm2016-final.pdf| final program}} of the workshop. 
 + 
 +** Ontologies in surgical assistance systems ​** 
 + 
 +// Elena De Momi //
  
 Ontologies can provide assistance in the diagnosis process, allowing implementing pathologies classification tools based on symptoms (e.g. in the case of epilepsy type). They can also be used for surgical robotic systems workflow management, as we did within the EuRoSurge European Coordination Action. Within the project, ontologies were used for describing the system components and the tasks included in the workflow. ​ Ontologies can provide assistance in the diagnosis process, allowing implementing pathologies classification tools based on symptoms (e.g. in the case of epilepsy type). They can also be used for surgical robotic systems workflow management, as we did within the EuRoSurge European Coordination Action. Within the project, ontologies were used for describing the system components and the tasks included in the workflow. ​
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-** Bernard Gibaud (InsermRennesFrance) ​**+** OntoSPMa core ontology for surgical process models: motivationsworking assumptions and current status ​** 
 + 
 +// Bernard Gibaud //
  
-//OntoSPM, a core ontology for surgical process models: motivations,​ working assumptions and current status// 
  
 In this presentation,​ we will summarize the motivations for developing a core ontology of surgical process models, aimed at providing a meaningful starting point, beneficial to the numerous applications and communities concerned by surgical process models. We will present the current status of the work: in particular, we will explain how we managed to reuse existing ontologies and integrate them into a consistent whole. We will illustrate how it is used currently in the S3PM project (Synthesis and Simulation of Surgical Process Models), especially for the design of realistic scenarios for the training of the surgical staff using Virtual Reality systems. We will finally discuss the main assumptions underlying the design and maintenance of OntoSPM, something important with regards to extending this effort to a genuine community-wide effort. In this presentation,​ we will summarize the motivations for developing a core ontology of surgical process models, aimed at providing a meaningful starting point, beneficial to the numerous applications and communities concerned by surgical process models. We will present the current status of the work: in particular, we will explain how we managed to reuse existing ontologies and integrate them into a consistent whole. We will illustrate how it is used currently in the S3PM project (Synthesis and Simulation of Surgical Process Models), especially for the design of realistic scenarios for the training of the surgical staff using Virtual Reality systems. We will finally discuss the main assumptions underlying the design and maintenance of OntoSPM, something important with regards to extending this effort to a genuine community-wide effort.
  
-** Lena Maier-Hein (DKFZ, Heidelberg, Germany) ​**+** Holistic data modeling and decision making in a large collaborative research center ​**
  
-//Holistic data modeling ​and decision making in a large collaborative research center//+// Lena Maier-Hein ​and Keno März //
  
 Surgical treatment decisions depend on highly heterogeneous information:​ (1) Patient-individual knowledge, such as lab reports, medical history and imaging data (2) factual knowledge that models written information from clinical studies and guidelines and (3) practical knowledge that represents surgical experience from case data. In this talk, we present concepts for modelling and processing heterogenous data in the context of surgical decision making within the scope of collaborative research center (SFB) Cognition-guided Surgery. Surgical treatment decisions depend on highly heterogeneous information:​ (1) Patient-individual knowledge, such as lab reports, medical history and imaging data (2) factual knowledge that models written information from clinical studies and guidelines and (3) practical knowledge that represents surgical experience from case data. In this talk, we present concepts for modelling and processing heterogenous data in the context of surgical decision making within the scope of collaborative research center (SFB) Cognition-guided Surgery.
  
-** Thomas Neumuth (ICCAS, Leipzig, Germany) ​**+** Ontologies for surgery at ICCAS – Experiences from 2005 to 2015 **
  
-// Ontologies for surgery at ICCAS – Experiences from 2005 to 2015 //+// Juliane Neumann ​//
  
 ICCAS developed in 2005 a surgical ontology and a software tool to support observation-based recording of surgical procedures. The developed concepts were used to recorded more than 1,000 surgical procedures until now. During the talk we will present the ontology-related projects at ICCAS and share our experience from the last 10 years. ICCAS developed in 2005 a surgical ontology and a software tool to support observation-based recording of surgical procedures. The developed concepts were used to recorded more than 1,000 surgical procedures until now. During the talk we will present the ontology-related projects at ICCAS and share our experience from the last 10 years.
  
-** Paulo Jorge Sequeira Gonçalves (Polytechnic Institute of Castelo Branco, Portugal) ** 
  
-//IEEE-RAS Ontologies for Robotics and Automation//​+** IEEE-RAS Ontologies for Robotics and Automation ​** 
 + 
 +// Paulo Jorge Sequeira Gonçalves ​//
  
 The IEEE RAS Ontologies for Robotics and Automation working group worked from 2011 to 2015 to develop a set of standard ontologies in Robotics and Automation (R&A). Its work resulted in the 1872-2015 - IEEE Standard Ontologies for Robotics and Automation. IEEE 1872-2015 defines a set of ontologies aimed at formalizing some central notions in the R&A field. The main ontology in this set is CORA which specifies concepts and relations that are core to the whole R&A field. One of its objectives is to serve as a basis for future ontology development efforts. Such efforts are currently being explored in the fields of Industrial, Autonomous, and Surgical Robotics. In the talk, we will present the IEEE 1872-2015 standard and future development efforts in the three previously defined robotic ontologies sub-domains. The IEEE RAS Ontologies for Robotics and Automation working group worked from 2011 to 2015 to develop a set of standard ontologies in Robotics and Automation (R&A). Its work resulted in the 1872-2015 - IEEE Standard Ontologies for Robotics and Automation. IEEE 1872-2015 defines a set of ontologies aimed at formalizing some central notions in the R&A field. The main ontology in this set is CORA which specifies concepts and relations that are core to the whole R&A field. One of its objectives is to serve as a basis for future ontology development efforts. Such efforts are currently being explored in the fields of Industrial, Autonomous, and Surgical Robotics. In the talk, we will present the IEEE 1872-2015 standard and future development efforts in the three previously defined robotic ontologies sub-domains.
  
  
-//Knowledge representation applied to robotic orthopedic surgery//+** Knowledge representation applied to robotic orthopedic surgery** 
 + 
 +// Paulo Jorge Sequeira Gonçalves ​//
  
 Efforts and methods used in the past years to represent knowledge in the biomedical field and to obtain a conceptual model of the Ontology for Robotic Orthopedic Surgery (OROSU), are presented. The proposed model to represent the knowledge is to be used, in a machine readable format, during surgeries. Since ontologies in the biomedical filed are relatively mature and have been widely used, this is a perfect field to show the interest of using ontologies to represent robotic knowledge and its use, directly with humans (surgeons, nurses, technicians,​ and so on). From the biomedical ontologies that already exist, the conceptual model of OROSU is defined. The base ontologies were merged to obtain the OROSU ontology, and applied to Hip Surgery surgical procedures. It was then implemented using the KnowRob framework. Results on tasks definitions and reasoning using the presented ontology will be presented, for Hip Surgery surgical procedures. ​ Efforts and methods used in the past years to represent knowledge in the biomedical field and to obtain a conceptual model of the Ontology for Robotic Orthopedic Surgery (OROSU), are presented. The proposed model to represent the knowledge is to be used, in a machine readable format, during surgeries. Since ontologies in the biomedical filed are relatively mature and have been widely used, this is a perfect field to show the interest of using ontologies to represent robotic knowledge and its use, directly with humans (surgeons, nurses, technicians,​ and so on). From the biomedical ontologies that already exist, the conceptual model of OROSU is defined. The base ontologies were merged to obtain the OROSU ontology, and applied to Hip Surgery surgical procedures. It was then implemented using the KnowRob framework. Results on tasks definitions and reasoning using the presented ontology will be presented, for Hip Surgery surgical procedures. ​
  
-** Armin Schneider (MITI, Munich, Germany) ​** +** Operating room sensor data and ontology for workflow analysis ​**
  
-//Operating room sensor data and ontology for workflow analysis//+// Armin Schneider ​//
  
 Identification of the course of surgical interventions is one important scientific field for the development of the operating room of the future. If this surgical workflow is well recognized, predictions can be made which further can automate steps i.e., calling of the next patient or notify on upcoming activities. To achieve such a workflow recognition,​ we installed in one operating room a dedicated network to record different parameters from the medical-technical devices. Additionally,​ several sensors are in use to track the personnel and gather data from devices that are not network-compatible. Analysis and interpretation of the relations between different sensor values is done with dedicated workflow ontologies. Identification of the course of surgical interventions is one important scientific field for the development of the operating room of the future. If this surgical workflow is well recognized, predictions can be made which further can automate steps i.e., calling of the next patient or notify on upcoming activities. To achieve such a workflow recognition,​ we installed in one operating room a dedicated network to record different parameters from the medical-technical devices. Additionally,​ several sensors are in use to track the personnel and gather data from devices that are not network-compatible. Analysis and interpretation of the relations between different sensor values is done with dedicated workflow ontologies.
  
-** Guang-Zhong Yang (Imperial College London, UK)**+** Ontologies for enhanced human-robot collaboration ​**
  
-//Ontologies for enhanced human-robot collaboration//+// Guang-Zhong Yang //
  
 Advances in robot-assisted intervention have offered improved intraoperative manipulation and instrument control, allowing for example, online learning from demonstration and context-aware playback from a pre-programmed library of manoeuvres. The purpose of this talk is to discuss the role of ontologies for enhanced human robot collaboration and how it can be more effectively used for dealing with subject specific variations in the general learning framework. ​ Advances in robot-assisted intervention have offered improved intraoperative manipulation and instrument control, allowing for example, online learning from demonstration and context-aware playback from a pre-programmed library of manoeuvres. The purpose of this talk is to discuss the role of ontologies for enhanced human robot collaboration and how it can be more effectively used for dealing with subject specific variations in the general learning framework. ​
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-==== Provisional schedule ​====+==== Schedule ​====
  
 __Thursday 28__<​sup>​th</​sup>​ __Thursday 28__<​sup>​th</​sup>​
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 ==== Recommended accommodations ==== ==== Recommended accommodations ====
  
-  * $$$$ Hôtel Spa Balthazar Rennes Centre :  \\  [[http://​www.hotel-balthazar.com/​fr/​]]+  * $$$$$ Hôtel Spa Balthazar Rennes Centre :  \\  [[http://​www.hotel-balthazar.com/​fr/​]] 
 +  * $$$$  Hôtel Le Saint-Antoine :  \\  [[http://​www.bestwestern.fr/​en/​hotel-Rennes,​BW-PREMIER-COLLECTION-Le-Saint-Antoine-Hotel-and-SPA,​93795]]
   * $$$ Hôtel Mercure Parlement Rennes Centre :  \\  [[http://​www.accorhotels.com/​fr/​hotel-1056-mercure-rennes-centre-parlement/​location.shtml]]   * $$$ Hôtel Mercure Parlement Rennes Centre :  \\  [[http://​www.accorhotels.com/​fr/​hotel-1056-mercure-rennes-centre-parlement/​location.shtml]]
   * $$ Hôtel de Nemours :  \\  [[http://​www.hotelnemours.com/​Acces-Quartier.asp]] ​ \\  ​   * $$ Hôtel de Nemours :  \\  [[http://​www.hotelnemours.com/​Acces-Quartier.asp]] ​ \\  ​
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