Zhaoyang Fan


Ontology type: schema:Person     


Person Info

NAME

Zhaoyang

SURNAME

Fan

Publications in SciGraph latest 50 shown

  • 2019-03 Visualization of the lenticulostriate arteries at 3T using black-blood T1-weighted intracranial vessel wall imaging: comparison with 7T TOF-MRA in EUROPEAN RADIOLOGY
  • 2018-12 Atherosclerosis T1-weighted characterization (CATCH): evaluation of the accuracy for identifying intraplaque hemorrhage with histological validation in carotid and coronary artery specimens in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2018-12 Cardiovascular magnetic resonance black-blood thrombus imaging for the diagnosis of acute deep vein thrombosis at 1.5 Tesla in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2017-12 Black-blood thrombus imaging (BTI): a contrast-free cardiovascular magnetic resonance approach for the diagnosis of non-acute deep vein thrombosis in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2016-12 Coronary Atherosclerosis T1-weighed Characterization with integrated anatomical reference (CATCH) in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2016-12 Accelerated 3D self-gated cardiac cine imaging at 3T using a tiny golden angle and compressed sensing in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2016-12 Development of a clinically practical whole-brain intracranial vessel wall MRI technique at 3 Tesla in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2016-12 Early detection and quantification of cerebral venous thrombosis by Magnetic Resonance Black Blood Thrombus Imaging (MRBTI) in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2016-12 In vivo cardiac DTI on a widely available 3T clinical scanner: an optimized M2 approach in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2016-12 Part 2 – Coronary angiography with gadofosveset trisodium: a prospective intra-subject comparison for dose optimization for 100 % efficiency imaging in BMC CARDIOVASCULAR DISORDERS
  • 2016-12 3D T1-weighted self-gated cardiac MRI for assessing myocardial infarction in mouse models in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2015-12 ECG and navigator-free 4D whole-heart coronary MRA in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2015-12 Increased pericardial fat accumulation is associated with increased intramyocardial lipid content and duration of highly active antiretroviral therapy exposure in patients infected with human immunodeficiency virus: a 3T cardiovascular magnetic resonance feasibility study in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2015-12 Cervial artery dissection: value of 3D high resolution vessel wall magnetic resonance imaging for diagnosis and follow-up in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2015-12 Part 1 – Coronary angiography with gadofosveset trisodium: a prospective feasibility study evaluating injection techniques for steady-state imaging in BMC CARDIOVASCULAR DISORDERS
  • 2015-12 Improved black-blood imaging using DANTE-SPACE for combined carotid and intracranial vessel wall evaluation in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2015-12 Reproducibility of phase-contrast MRI in the coronary artery: towards noninvasive pressure gradient measurement and quantification of fractional flow reserve in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2014-12 In vivo contrast free chronic myocardial infarction characterization using diffusion-weighted cardiovascular magnetic resonance in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2014-01 High spatial and temporal resolution black-blood dynamic contrast-enhanced carotid artery wall MRI using compressed sensing in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2014-01 In vivo 3D high resolution cardiac diffusion weighted MRI: a motion compensated diffusion-prepared balanced steady-state free precession approach in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2014-01 Carotid Multicontrast ATherosclerosis CHaracterization (MATCH) in a single scan in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2013-01 Black-blood dynamic contrast-enhanced carotid artery wall MRI with SRDIR preparation in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2013-01 Black-blood dynamic contrast-enhanced coronary artery wall MRI: a potential tool for kinetic-modeling-based wall inflammation assessment in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2012-12 Self-guided retrospective motion correction (SEGMO) for free-breathing whole-heart coronary MRA with 100% acquisition efficiency in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2010-01 3D flow-insensitive vessel wall imaging using T2-prepared SSFP with PSIR in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2009-01 3D peripheral subtraction MRA using flow-spoiled ECG-triggered balanced SSFP in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • 2008-10 146 Improved 3D SPACE carotid vessel wall imaging at 3.0 T in JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
  • JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "affiliation": [
          {
            "affiliation": {
              "id": "https://www.grid.ac/institutes/grid.50956.3f", 
              "type": "Organization"
            }, 
            "isCurrent": true, 
            "type": "OrganizationRole"
          }, 
          {
            "id": "https://www.grid.ac/institutes/grid.24696.3f", 
            "type": "Organization"
          }, 
          {
            "id": "https://www.grid.ac/institutes/grid.16753.36", 
            "type": "Organization"
          }, 
          {
            "id": "https://www.grid.ac/institutes/grid.30389.31", 
            "type": "Organization"
          }, 
          {
            "id": "https://www.grid.ac/institutes/grid.19006.3e", 
            "type": "Organization"
          }
        ], 
        "familyName": "Fan", 
        "givenName": "Zhaoyang", 
        "id": "sg:person.01136172260.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136172260.58"
        ], 
        "sdDataset": "persons", 
        "sdDatePublished": "2019-03-07T14:56", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-researchers-20181010/20181011/dim_researchers/base/researchers_655.json", 
        "type": "Person"
      }
    ]
     

    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://scigraph.springernature.com/person.01136172260.58'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/person.01136172260.58'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/person.01136172260.58'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/person.01136172260.58'


     

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

    24 TRIPLES      10 PREDICATES      15 URIs      7 LITERALS      2 BLANK NODES

    Subject Predicate Object
    1 sg:person.01136172260.58 schema:affiliation Na8f2759329b641cba49415ceb3b0a69c
    2 https://www.grid.ac/institutes/grid.16753.36
    3 https://www.grid.ac/institutes/grid.19006.3e
    4 https://www.grid.ac/institutes/grid.24696.3f
    5 https://www.grid.ac/institutes/grid.30389.31
    6 schema:familyName Fan
    7 schema:givenName Zhaoyang
    8 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136172260.58
    9 schema:sdDatePublished 2019-03-07T14:56
    10 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    11 schema:sdPublisher Na076e88ec51b4dd08bb9d852181f5064
    12 sgo:license sg:explorer/license/
    13 sgo:sdDataset persons
    14 rdf:type schema:Person
    15 Na076e88ec51b4dd08bb9d852181f5064 schema:name Springer Nature - SN SciGraph project
    16 rdf:type schema:Organization
    17 Na8f2759329b641cba49415ceb3b0a69c schema:affiliation https://www.grid.ac/institutes/grid.50956.3f
    18 sgo:isCurrent true
    19 rdf:type schema:OrganizationRole
    20 https://www.grid.ac/institutes/grid.16753.36 schema:Organization
    21 https://www.grid.ac/institutes/grid.19006.3e schema:Organization
    22 https://www.grid.ac/institutes/grid.24696.3f schema:Organization
    23 https://www.grid.ac/institutes/grid.30389.31 schema:Organization
    24 https://www.grid.ac/institutes/grid.50956.3f schema:Organization
     




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


    ...