Siemens (United States) View Homepage


Ontology type: grid:Company  | foaf:Organization     


Organization Info

Publications in SciGraph latest 20 shown

  • 2019-02-25 Modified calcium subtraction in dual-energy CT angiography of the lower extremity runoff: impact on diagnostic accuracy for stenosis detection in EUROPEAN RADIOLOGY
  • 2018-12 Real-World Variability in the Prediction of Intracranial Aneurysm Wall Shear Stress: The 2015 International Aneurysm CFD Challenge in CARDIOVASCULAR ENGINEERING AND TECHNOLOGY
  • 2018-12 Special issue on automation of software testing: improving practical applicability in SOFTWARE QUALITY JOURNAL
  • 2018-04 A novel framework for evaluating the image accuracy of dynamic MRI and the application on accelerated breast DCE MRI in MAGNETIC RESONANCE MATERIALS IN PHYSICS, BIOLOGY AND MEDICINE
  • 2018-02 Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort: evaluation of initial results in THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING
  • 2018-02 Assessment of iodine uptake by pancreatic cancer following chemotherapy using dual-energy CT in ABDOMINAL RADIOLOGY
  • 2017-10 Real-time three dimensional CT and MRI to guide interventions for congenital heart disease and acquired pulmonary vein stenosis in THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING
  • 2017-08 Increased Reliability of Gas Turbine Components by Robust Coatings Manufacturing in JOURNAL OF THERMAL SPRAY TECHNOLOGY
  • 2017-07 Real-time fluoroscopic needle guidance in the interventional radiology suite using navigational software for percutaneous bone biopsies in children in PEDIATRIC RADIOLOGY
  • 2017-06-13 Workforce Management 4.0 - Assessment of Human Factors Readiness Towards Digital Manufacturing in ADVANCES IN ERGONOMICS OF MANUFACTURING: MANAGING THE ENTERPRISE OF THE FUTURE
  • 2017-02 Effect of the nature of vitiated crossflow on the flow-field of a transverse reacting jet in EXPERIMENTS IN FLUIDS
  • 2017 Brain Parenchyma and Vessel Separation in 3D Digital Subtraction Angiography Images in BILDVERARBEITUNG FÜR DIE MEDIZIN 2017
  • 2016-12 Validation of T2* in-line analysis for tissue iron quantification at 1.5 T in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2016-12 A Comprehensive Free-Breathing Protocol for Cardiovascular Magnetic Resonance Imaging of Ischemia and Cardiomyopathies: a Feasibility Study in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2016-12 Reduced field-of-view stack-of-spirals enables high spatiotemporal resolution 3D perfusion imaging in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2016-12 Dual-energy computed tomography has limited sensitivity for non-tophaceous gout: a comparison study with tophaceous gout in BMC MUSCULOSKELETAL DISORDERS
  • 2016-12 Free-breathing 2D Cine DENSE with Localized Excitation, Self-navigation and Motion Correction in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2016-12 Cine DENSE MRI of mechanical activation in heart failure patients referred for cardiac resynchronization therapy in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2016-11 Proximal gradient method for huberized support vector machine in PATTERN ANALYSIS AND APPLICATIONS
  • 2016-11 Basic MR sequence parameters systematically bias automated brain volume estimation in NEURORADIOLOGY
  • Identifiers

    GRID

    http://www.grid.ac/institutes/grid.419233.e

    ISNI

    http://www.isni.org/isni/000000010038812X

    CROSSREF

    100004340 | 100005204 | 100006496

    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.419233.e'

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

    curl -H 'Accept: application/rdf+xml' 'https://www.grid.ac/institutes/grid.419233.e'


     

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

    58 TRIPLES      11 PREDICATES      14 URIs      8 LITERALS

    Subject Predicate Object
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    8 grid:id grid.419233.e
    9 grid:isni 0000 0001 0038 812X
    10 rdf:type grid:Company
    11 foaf:Organization
    12 rdfs:label Siemens (United States)
    13 skos:prefLabel Siemens (United States)
    14 foaf:homepage http://www.usa.siemens.com/
    15 grid-institutes:grid.419233.e/address-0 sgo:sdDataset grid
    16 grid:cityName Princeton
    17 grid:countryCode US
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    23 grid-institutes:grid.5406.7 sgo:sdDataset grid
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    55 foaf:Organization
    56 rdfs:label Siemens (Germany)
    57 skos:prefLabel Siemens (Germany)
    58 foaf:homepage http://www.siemens.com/entry/cc/en/
     




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