OntoVIP: an ontology for the annotation of object models used for medical image simulation

scientific article published on 16 July 2014

OntoVIP: an ontology for the annotation of object models used for medical image simulation is …
instance of (P31):
scholarly articleQ13442814

External links are
P8978DBLP publication IDjournals/jbi/GibaudFBCCFGHLLMTG14
P356DOI10.1016/J.JBI.2014.07.008
P932PMC publication ID5943577
P698PubMed publication ID25038553
P5875ResearchGate publication ID280880357

P50authorHervé LiebgottQ47251598
Denis FribouletQ51409003
Patrick ClarysseQ55114022
Bernard GibaudQ56512623
Alban GaignardQ64505969
Germain ForestierQ87164116
Tristan GlatardQ96127876
Johan MontagnatQ114453028
Hugues Benoit-CattinQ114453029
Frédéric CervenanskyQ114453030
Patrick HugonnardQ114453031
Carole LartizienQ114453032
Joachim TabaryQ114453033
P2860cites workThe OBO Foundry: coordinated evolution of ontologies to support biomedical data integrationQ19671692
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Phenotype ontologies for mouse and man: bridging the semantic gap.Q33815395
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Towards an ontology for sharing medical images and regions of interest in neuroimagingQ38390719
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The Foundational Model of Anatomy in OWL 2 and its useQ38458783
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MRI simulation-based evaluation of image-processing and classification methodsQ52082215
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Calculation of pressure fields from arbitrarily shaped, apodized, and excited ultrasound transducersQ80668353
GATE V6: a major enhancement of the GATE simulation platform enabling modelling of CT and radiotherapyQ83239861
P921main subjectmedical imagingQ931309
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P304page(s)279-292
P577publication date2014-07-16
P1433published inJournal of Biomedical InformaticsQ6294850
P1476titleOntoVIP: an ontology for the annotation of object models used for medical image simulation
P478volume52

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cites work (P2860)
Q47389195An Innovative Framework for Bioimage Annotation and Studies.
Q35689252Biomedical imaging ontologies: A survey and proposal for future work
Q90678432Ontology-Based Approach for Liver Cancer Diagnosis and Treatment
Q42698318Physiological Informatics: Collection and Analyses of Data from Wearable Sensors and Smartphone for Healthcare

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