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Ontology type: grid:Healthcare  | foaf:Organization     

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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.

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


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    curl -H 'Accept: application/ld+json' ''

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

    curl -H 'Accept: application/n-triples' ''

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    curl -H 'Accept: application/rdf+xml' ''


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

    12 TRIPLES      11 PREDICATES      12 URIs      6 LITERALS

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    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
    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

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