Siemens (United Kingdom) View Homepage


Ontology type: grid:Company  | foaf:Organization     


Organization Info

Publications in SciGraph latest 20 shown

  • 2019-12 Fornix white matter glia damage causes hippocampal gray matter damage during age-dependent limbic decline in SCIENTIFIC REPORTS
  • 2019-03-27 Exploratory radiomic features from integrated 18F-fluorodeoxyglucose positron emission tomography/magnetic resonance imaging are associated with contemporaneous metastases in oesophageal/gastroesophageal cancer in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2019-01 Motion-corrected multiparametric renal arterial spin labelling at 3 T: reproducibility and effect of vasodilator challenge in EUROPEAN RADIOLOGY
  • 2018-10 Motion-corrected whole-heart PET-MR for the simultaneous visualisation of coronary artery integrity and myocardial viability: an initial clinical validation in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2017-09 Identification of plastic properties of metallic structures by artificial neural networks based on plane strain small punch test in INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT
  • 2017-09 Assessment of Finite Rate Chemistry Large Eddy Simulation Combustion Models in FLOW, TURBULENCE AND COMBUSTION
  • 2017-08 Applied fault detection and diagnosis for industrial gas turbine systems in INTERNATIONAL JOURNAL OF AUTOMATION AND COMPUTING
  • 2017-08 The Use of APS Thermal Barrier Coatings in Corrosive Environments in OXIDATION OF METALS
  • 2017 3D Reconstruction of Coronary Veins from a Single X-Ray Fluoroscopic Image and Pre-operative MR in STATISTICAL ATLASES AND COMPUTATIONAL MODELS OF THE HEART. IMAGING AND MODELLING CHALLENGES
  • 2017 Registration with Adjacent Anatomical Structures for Cardiac Resynchronization Therapy Guidance in STATISTICAL ATLASES AND COMPUTATIONAL MODELS OF THE HEART. IMAGING AND MODELLING CHALLENGES
  • 2016-12 Respiratory self navigated whole-heart angiography with ultra-small super-paramagnetic iron oxide particles: a feasibility study in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2015-12 Insights from T1 mapping in heart failure in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2015-12 Quantification of the area-at-risk by T1 and T2 mapping CMR at 3T in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2015-12 UK Biobank’s cardiovascular magnetic resonance protocol in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2015-12 Hybrid PET/MR metabolic imaging of the reperfused infarct - new biology, future directions in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2015-12 Validation of segmented and real-time EPI phase contrast flow quantification against segmented gradient echo sequences in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2015 Diffusion Tensor Estimation, Regularization and Classification in HANDBOOK OF BIOMEDICAL IMAGING
  • 2014-12 Voxel-wise quantification of myocardial blood flow with cardiovascular magnetic resonance: effect of variations in methodology and validation with positron emission tomography in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2014-01 The effect of gender, piloting and segmental analysis on T1 quantification in normal individuals using MOLLI in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2014-01 Voxel-wise quantification of myocardial blood flow with cardiovascular magnetic resonance: effect of variations in methodology and validation with positron emission tomography in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • Parent Organizations

    JSON-LD is the canonical representation for SciGraph data.

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    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://www.grid.ac/institutes/grid.14601.32'

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    RDF/XML is a standard XML format for linked data.

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    This table displays all metadata directly associated to this object as RDF triples.

    54 TRIPLES      9 PREDICATES      10 URIs      4 LITERALS

    Subject Predicate Object
    1 grid-institutes:grid.14601.32 sgo:sdDataset grid
    2 grid:establishedYear 1847-01-01
    3 grid:hasAddress grid-institutes:grid.14601.32/address-0
    4 grid:hasParent grid-institutes:grid.5406.7
    5 grid:id grid.14601.32
    6 rdf:type grid:Company
    7 foaf:Organization
    8 rdfs:label Siemens (United Kingdom)
    9 skos:prefLabel Siemens (United Kingdom)
    10 foaf:homepage https://www.siemens.com/global/en/home.html
    11 grid-institutes:grid.14601.32/address-0 sgo:sdDataset grid
    12 grid:cityName Camberley
    13 grid:countryCode GB
    14 grid:countryName United Kingdom
    15 grid:hasGeonamesCity http://sws.geonames.org/2653947/
    16 rdf:type grid:Address
    17 geo-pos:lat 51.31842
    18 geo-pos:long -0.737111
    19 grid-institutes:grid.5406.7 sgo:sdDataset grid
    20 grid:crossrefFunderId 501100004830
    21 grid:establishedYear 1847-01-01
    22 grid:hasAddress grid-institutes:grid.5406.7/address-0
    23 grid:hasChild grid-institutes:grid.14601.32
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    42 grid-institutes:grid.474512.1
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    46 grid:hasWikidataId wd:Q81230
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    49 grid:wikipediaPage http://en.wikipedia.org/wiki/Siemens
    50 rdf:type grid:Company
    51 foaf:Organization
    52 rdfs:label Siemens (Germany)
    53 skos:prefLabel Siemens (Germany)
    54 foaf:homepage http://www.siemens.com/entry/cc/en/
     




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