Siemens Healthcare View Homepage


Ontology type: grid:Healthcare  | foaf:Organization     


Organization Info

Publications in SciGraph latest 20 shown

  • 2019-03 Magnetic resonance elastography SE-EPI vs GRE sequences at 3T in a pediatric population with liver disease in ABDOMINAL RADIOLOGY
  • 2019-02-22 MR elastography of liver at 3 Tesla: comparison of gradient-recalled echo (GRE) and spin-echo (SE) echo-planar imaging (EPI) sequences and agreement across stiffness measurements in ABDOMINAL RADIOLOGY
  • 2019-02-15 Quantification of myocardial deformation by deformable registration–based analysis of cine MRI: validation with tagged CMR in EUROPEAN RADIOLOGY
  • 2019-01 Comparison of image noise and image quality between full-dose abdominal computed tomography scans reconstructed with weighted filtered back projection and half-dose scans reconstructed with improved sinogram-affirmed iterative reconstruction (SAFIRE*) in ABDOMINAL RADIOLOGY
  • 2018-12 Multi institutional quantitative phantom study of yttrium-90 PET in PET/MRI: the MR-QUEST study in EJNMMI PHYSICS
  • 2018-12 Correction to: Simple motion correction strategy reduces respiratory-induced motion artifacts for k-t accelerated and compressed-sensing cardiovascular magnetic resonance perfusion imaging in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2018-12 Novel 4D-MRI of tumor infiltrating vasculature: characterizing tumor and vessel volume motion for selective boost volume definition in pancreatic radiotherapy in RADIATION ONCOLOGY
  • 2018-12 Toward a universal decoder of linguistic meaning from brain activation in NATURE COMMUNICATIONS
  • 2018-12 A Spectral Fiedler Field-based Contrast Platform for Imaging of Nanoparticles in Colon Tumor in SCIENTIFIC REPORTS
  • 2018-12 Simple motion correction strategy reduces respiratory-induced motion artifacts for k-t accelerated and compressed-sensing cardiovascular magnetic resonance perfusion imaging in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2018-11-06 Full-Dose PET Image Estimation from Low-Dose PET Image Using Deep Learning: a Pilot Study in JOURNAL OF DIGITAL IMAGING
  • 2018-11 Utility of Cardiac Computed Tomography in Patients with Left Ventricular Assist Devices in CURRENT CARDIOVASCULAR IMAGING REPORTS
  • 2018-11 Maximizing Patient Coverage Through Optimal Allocation of Residents and Scribes to Shifts in an Emergency Department in JOURNAL OF MEDICAL SYSTEMS
  • 2018-08 The continual innovation of commercial PET/CT solutions in nuclear cardiology: Siemens Healthineers in JOURNAL OF NUCLEAR CARDIOLOGY
  • 2018-08 3D/2D model-to-image registration by imitation learning for cardiac procedures in INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
  • 2018-07 Accelerated real-time cardiac MRI using iterative sparse SENSE reconstruction: comparing performance in patients with sinus rhythm and atrial fibrillation in EUROPEAN RADIOLOGY
  • 2018-06 Low kV versus dual-energy virtual monoenergetic CT imaging for proven liver lesions: what are the advantages and trade-offs in conspicuity and image quality? A pilot study in ABDOMINAL RADIOLOGY
  • 2018-06 Simultaneous multi-slice accelerated turbo spin echo of the knee in pediatric patients in SKELETAL RADIOLOGY
  • 2018-04 Highly accelerated intracranial 4D flow MRI: evaluation of healthy volunteers and patients with intracranial aneurysms in MAGNETIC RESONANCE MATERIALS IN PHYSICS, BIOLOGY AND MEDICINE
  • 2018-02 Radiology and Enterprise Medical Imaging Extensions (REMIX) in JOURNAL OF DIGITAL IMAGING
  • JSON-LD is the canonical representation for SciGraph data.

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "foaf:homepage": [
          {
            "id": "http://www.healthcare.siemens.com/"
          }
        ], 
        "grid:establishedYear": [
          {
            "@value": "1847-01-01", 
            "type": "http://www.w3.org/2001/XMLSchema#gYear"
          }
        ], 
        "grid:hasAddress": [
          {
            "id": "http://www.grid.ac/institutes/grid.415886.6/address-0"
          }
        ], 
        "grid:id": [
          {
            "@value": "grid.415886.6"
          }
        ], 
        "grid:isni": [
          {
            "@value": "0000 0004 0546 1113"
          }
        ], 
        "grid:wikipediaPage": [
          {
            "id": "https://en.wikipedia.org/wiki/Siemens_Healthineers"
          }
        ], 
        "id": "http://www.grid.ac/institutes/grid.415886.6", 
        "rdfs:label": "Siemens Healthcare", 
        "sdDataset": "grid", 
        "skos:altLabel": [
          {
            "@value": "Siemens Healthineers"
          }
        ], 
        "skos:prefLabel": [
          {
            "@value": "Siemens Healthcare"
          }
        ], 
        "type": [
          "http://www.grid.ac/ontology/Healthcare", 
          "http://xmlns.com/foaf/0.1/Organization"
        ]
      }
    ]
     

    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.415886.6'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://www.grid.ac/institutes/grid.415886.6'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://www.grid.ac/institutes/grid.415886.6'

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

    curl -H 'Accept: application/rdf+xml' 'https://www.grid.ac/institutes/grid.415886.6'


     

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

    12 TRIPLES      11 PREDICATES      12 URIs      6 LITERALS

    Subject Predicate Object
    1 grid-institutes:grid.415886.6 sgo:sdDataset grid
    2 grid:establishedYear 1847-01-01
    3 grid:hasAddress grid-institutes:grid.415886.6/address-0
    4 grid:id grid.415886.6
    5 grid:isni 0000 0004 0546 1113
    6 grid:wikipediaPage https://en.wikipedia.org/wiki/Siemens_Healthineers
    7 rdf:type grid:Healthcare
    8 foaf:Organization
    9 rdfs:label Siemens Healthcare
    10 skos:altLabel Siemens Healthineers
    11 skos:prefLabel Siemens Healthcare
    12 foaf:homepage http://www.healthcare.siemens.com/
     




    Preview window. Press ESC to close (or click here)


    ...