Joon Koo Han


Ontology type: schema:Person     


Person Info

NAME

Joon Koo

SURNAME

Han

Publications in SciGraph latest 50 shown

  • 2021-07-21 Development of a predictive model for extragastric recurrence after curative resection for early gastric cancer in GASTRIC CANCER
  • 2021-06-03 Predictors of conversion surgery in patients with pancreatic cancer who underwent neoadjuvant or palliative FOLFIRINOX treatment using baseline and follow-up CT in ABDOMINAL RADIOLOGY
  • 2021-03-31 Added value of [68Ga]Ga-DOTA-TOC PET/CT for characterizing pancreatic neuroendocrine neoplasms: a comparison with contrast-enhanced CT and/or MRI in a large study cohort in EUROPEAN RADIOLOGY
  • 2021-03-19 Preoperative assessment of the resectability of pancreatic ductal adenocarcinoma on CT according to the NCCN Guidelines focusing on SMA/SMV branch invasion in EUROPEAN RADIOLOGY
  • 2021-01-18 2D shear wave elastography is better than transient elastography in predicting post-hepatectomy complication after resection in EUROPEAN RADIOLOGY
  • 2021-01-03 Reducing Pain by Artificial Ascites Infusion During Radiofrequency Ablation for Subcapsular Hepatocellular Carcinoma in CARDIOVASCULAR AND INTERVENTIONAL RADIOLOGY
  • 2020-11-19 Hepatobiliary phase of gadoxetic acid–enhanced MRI in patients with HCC: prognostic features before resection, ablation, or TACE in EUROPEAN RADIOLOGY
  • 2020-11-17 Important CT and histopathological findings for recurrence and overall survival in patients with pancreatic ductal adenocarcinoma who underwent surgery after neoadjuvant FOLFIRINOX in EUROPEAN RADIOLOGY
  • 2020-11-02 Assessment of malignant potential in intraductal papillary mucinous neoplasms of the pancreas using MR findings and texture analysis in EUROPEAN RADIOLOGY
  • 2020-09-30 Prediction of tumor recurrence and poor survival of ampullary adenocarcinoma using preoperative clinical and CT findings in EUROPEAN RADIOLOGY
  • 2020-08-26 Intra-individual comparison of dual portal venous phases for non-invasive diagnosis of hepatocellular carcinoma at gadoxetic acid–enhanced liver MRI in EUROPEAN RADIOLOGY
  • 2020-05-07 Deep learning-based decision support system for the diagnosis of neoplastic gallbladder polyps on ultrasonography: Preliminary results in SCIENTIFIC REPORTS
  • 2020-04-15 Prediction of liver regeneration in recipients after living-donor liver transplantation in using preoperative CT texture analysis and clinical features in ABDOMINAL RADIOLOGY
  • 2020-02-05 Differential and prognostic MRI features of gallbladder neuroendocrine tumors and adenocarcinomas in EUROPEAN RADIOLOGY
  • 2019-11-28 Multiparametric MRI and 18F-FDG PET features for differentiating gastrointestinal stromal tumors from benign gastric subepithelial lesions in EUROPEAN RADIOLOGY
  • 2019-11-08 Portable ultrasound-guided high-intensity focused ultrasound with functions for safe and rapid ablation: prospective clinical trial for uterine fibroids—short-term and long-term results in EUROPEAN RADIOLOGY
  • 2019-08-28 Value of virtual monochromatic spectral image of dual-layer spectral detector CT with noise reduction algorithm for image quality improvement in obese simulated body phantom in BMC MEDICAL IMAGING
  • 2019-07-23 Additional value of contrast-enhanced ultrasound (CEUS) on arterial phase non-hyperenhancement observations (≥ 2 cm) of CT/MRI for high-risk patients: focusing on the CT/MRI LI-RADS categories LR-3 and LR-4 in ABDOMINAL RADIOLOGY
  • 2019-06-28 Preoperative CT findings for prediction of resectability in patients with gallbladder cancer in EUROPEAN RADIOLOGY
  • 2019-06-07 Assessment of hepatic steatosis by using attenuation imaging: a quantitative, easy-to-perform ultrasound technique in EUROPEAN RADIOLOGY
  • 2019-04-08 Quantitative contrast-enhanced US helps differentiating neoplastic vs non-neoplastic gallbladder polyps in EUROPEAN RADIOLOGY
  • 2019-03-21 MDCT findings predicting post-operative residual tumor and survival in patients with pancreatic cancer in EUROPEAN RADIOLOGY
  • 2019-01-14 Non-hypervascular hepatobiliary phase hypointense nodules on gadoxetic acid-enhanced MR can help determine the treatment method for HCC in EUROPEAN RADIOLOGY
  • 2019-01-07 Prognostic value of MRI in assessing extramural venous invasion in rectal cancer: multi-readers’ diagnostic performance in EUROPEAN RADIOLOGY
  • 2019-01-05 Prediction of liver remnant regeneration after living donor liver transplantation using preoperative CT texture analysis in ABDOMINAL RADIOLOGY
  • 2018-11-19 CT reconstruction algorithms affect histogram and texture analysis: evidence for liver parenchyma, focal solid liver lesions, and renal cysts in EUROPEAN RADIOLOGY
  • 2018-09-25 Retrospective validation of a new diagnostic criterion for hepatocellular carcinoma on gadoxetic acid-enhanced MRI: can hypointensity on the hepatobiliary phase be used as an alternative to washout with the aid of ancillary features? in EUROPEAN RADIOLOGY
  • 2018-09-18 Hepatocellular carcinoma: preoperative gadoxetic acid–enhanced MR imaging can predict early recurrence after curative resection using image features and texture analysis in ABDOMINAL RADIOLOGY
  • 2018-08-22 Combined application of virtual monoenergetic high keV images and the orthopedic metal artifact reduction algorithm (O-MAR): effect on image quality in ABDOMINAL RADIOLOGY
  • 2018-07-04 Correction to: CT diagnosis of gallbladder adenomyomatosis: importance of enhancing mucosal epithelium, the “cotton ball sign” in EUROPEAN RADIOLOGY
  • 2018-06-21 CT prediction of resectability and prognosis in patients with pancreatic ductal adenocarcinoma after neoadjuvant treatment using image findings and texture analysis in EUROPEAN RADIOLOGY
  • 2018-06-13 Local or extragastric recurrence after incomplete endoscopic submucosal dissection of early gastric cancer: risk factors and the role of CT in ABDOMINAL RADIOLOGY
  • 2018-06-08 Sub-millisievert CT colonography: effect of knowledge-based iterative reconstruction on the detection of colonic polyps in EUROPEAN RADIOLOGY
  • 2018-05-22 Can quantitative iodine parameters on DECT replace perfusion CT parameters in colorectal cancers? in EUROPEAN RADIOLOGY
  • 2018-04-19 Correction to: Magnetic resonance with diffusion-weighted imaging improves assessment of focal liver lesions in patients with potentially resectable pancreatic cancer on CT in EUROPEAN RADIOLOGY
  • 2018-04-18 Additional value of contrast-enhanced ultrasonography for fusion-guided, percutaneous biopsies of focal liver lesions: prospective feasibility study in ABDOMINAL RADIOLOGY
  • 2018-04-09 CT diagnosis of gallbladder adenomyomatosis: importance of enhancing mucosal epithelium, the “cotton ball sign” in EUROPEAN RADIOLOGY
  • 2018-02-27 Prognostic Role of Liver Stiffness Measurements Using Magnetic Resonance Elastography in Patients with Compensated Chronic Liver Disease in EUROPEAN RADIOLOGY
  • 2018-01-19 Magnetic resonance with diffusion-weighted imaging improves assessment of focal liver lesions in patients with potentially resectable pancreatic cancer on CT in EUROPEAN RADIOLOGY
  • 2018-01-02 Virtual monoenergetic dual-layer, dual-energy CT enterography: optimization of keV settings and its added value for Crohn’s disease in EUROPEAN RADIOLOGY
  • 2017-10-27 Imaging Monitoring of Kupffer Cell Function and Hepatic Oxygen Saturation in Preneoplastic Changes During Cholangiocarcinogenesis in SCIENTIFIC REPORTS
  • 2017-08-04 CT Perfusion evaluation of gastric cancer: correlation with histologic type in EUROPEAN RADIOLOGY
  • 2017-07-27 Non-invasive monitoring of the therapeutic response in sorafenib-treated hepatocellular carcinoma based on photoacoustic imaging in EUROPEAN RADIOLOGY
  • 2017-07-07 Risk stratification of gallbladder polyps larger than 10 mm using high-resolution ultrasonography and texture analysis in EUROPEAN RADIOLOGY
  • 2017-07-04 Gastrointestinal tract complications after hepatic radiofrequency ablation: CT prediction for major complications in ABDOMINAL RADIOLOGY
  • 2017-02-16 Poorly-differentiated colorectal neuroendocrine tumour: CT differentiation from well-differentiated neuroendocrine tumour and poorly-differentiated adenocarcinomas in EUROPEAN RADIOLOGY
  • 2017-01-31 Diagnostic performance and imaging features for predicting the malignant potential of intraductal papillary mucinous neoplasm of the pancreas: a comparison of EUS, contrast-enhanced CT and MRI in ABDOMINAL RADIOLOGY
  • 2016-11-10 Diagnostic accuracy of transabdominal high-resolution US for staging gallbladder cancer and differential diagnosis of neoplastic polyps compared with EUS in EUROPEAN RADIOLOGY
  • 2016-09-21 Fate of small pancreatic cysts (<3 cm) after long-term follow-up: analysis of significant radiologic characteristics and proposal of follow-up strategies in EUROPEAN RADIOLOGY
  • 2016-08-10 In-vivo monitoring of development of cholangiocarcinoma induced with C. sinensis and N-nitrosodimethylamine in Syrian golen hamsters using ultrasonography and magnetic resonance imaging: a preliminary study in EUROPEAN RADIOLOGY
  • 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": "http://www.grid.ac/institutes/grid.412484.f", 
              "type": "Organization"
            }, 
            "isCurrent": true, 
            "type": "OrganizationRole"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.413967.e", 
            "type": "Organization"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.412479.d", 
            "type": "Organization"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.254229.a", 
            "type": "Organization"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.411627.7", 
            "type": "Organization"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.411651.6", 
            "type": "Organization"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.412480.b", 
            "type": "Organization"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.411551.5", 
            "type": "Organization"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.255649.9", 
            "type": "Organization"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.5406.7", 
            "type": "Organization"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.415520.7", 
            "type": "Organization"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.253755.3", 
            "type": "Organization"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.412010.6", 
            "type": "Organization"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.15444.30", 
            "type": "Organization"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.31501.36", 
            "type": "Organization"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.256753.0", 
            "type": "Organization"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.264381.a", 
            "type": "Organization"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.420044.6", 
            "type": "Organization"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.411120.7", 
            "type": "Organization"
          }, 
          {
            "id": "http://www.grid.ac/institutes/grid.410914.9", 
            "type": "Organization"
          }
        ], 
        "familyName": "Han", 
        "givenName": "Joon Koo", 
        "id": "sg:person.0647723014.95", 
        "identifier": [
          {
            "name": "orcid_id", 
            "type": "PropertyValue", 
            "value": "0000-0001-5916-5545"
          }
        ], 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647723014.95", 
          "https://orcid.org/0000-0001-5916-5545"
        ], 
        "sdDataset": "persons", 
        "sdDatePublished": "2022-08-04T17:38", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/person/person_686.jsonl", 
        "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.0647723014.95'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/person.0647723014.95'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/person.0647723014.95'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/person.0647723014.95'


     

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

    59 TRIPLES      11 PREDICATES      32 URIs      8 LITERALS      3 BLANK NODES

    Subject Predicate Object
    1 sg:person.0647723014.95 schema:affiliation N8c17da70c66641508504f301afa2cfc0
    2 grid-institutes:grid.15444.30
    3 grid-institutes:grid.253755.3
    4 grid-institutes:grid.254229.a
    5 grid-institutes:grid.255649.9
    6 grid-institutes:grid.256753.0
    7 grid-institutes:grid.264381.a
    8 grid-institutes:grid.31501.36
    9 grid-institutes:grid.410914.9
    10 grid-institutes:grid.411120.7
    11 grid-institutes:grid.411551.5
    12 grid-institutes:grid.411627.7
    13 grid-institutes:grid.411651.6
    14 grid-institutes:grid.412010.6
    15 grid-institutes:grid.412479.d
    16 grid-institutes:grid.412480.b
    17 grid-institutes:grid.413967.e
    18 grid-institutes:grid.415520.7
    19 grid-institutes:grid.420044.6
    20 grid-institutes:grid.5406.7
    21 schema:familyName Han
    22 schema:givenName Joon Koo
    23 schema:identifier N9a8e124ccfdb4e1b90f975078b77f372
    24 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647723014.95
    25 https://orcid.org/0000-0001-5916-5545
    26 schema:sdDatePublished 2022-08-04T17:38
    27 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    28 schema:sdPublisher N01266b091bdd4a44b25042155c9ef30b
    29 sgo:license sg:explorer/license/
    30 sgo:sdDataset persons
    31 rdf:type schema:Person
    32 N01266b091bdd4a44b25042155c9ef30b schema:name Springer Nature - SN SciGraph project
    33 rdf:type schema:Organization
    34 N8c17da70c66641508504f301afa2cfc0 schema:affiliation grid-institutes:grid.412484.f
    35 sgo:isCurrent true
    36 rdf:type schema:OrganizationRole
    37 N9a8e124ccfdb4e1b90f975078b77f372 schema:name orcid_id
    38 schema:value 0000-0001-5916-5545
    39 rdf:type schema:PropertyValue
    40 grid-institutes:grid.15444.30 schema:Organization
    41 grid-institutes:grid.253755.3 schema:Organization
    42 grid-institutes:grid.254229.a schema:Organization
    43 grid-institutes:grid.255649.9 schema:Organization
    44 grid-institutes:grid.256753.0 schema:Organization
    45 grid-institutes:grid.264381.a schema:Organization
    46 grid-institutes:grid.31501.36 schema:Organization
    47 grid-institutes:grid.410914.9 schema:Organization
    48 grid-institutes:grid.411120.7 schema:Organization
    49 grid-institutes:grid.411551.5 schema:Organization
    50 grid-institutes:grid.411627.7 schema:Organization
    51 grid-institutes:grid.411651.6 schema:Organization
    52 grid-institutes:grid.412010.6 schema:Organization
    53 grid-institutes:grid.412479.d schema:Organization
    54 grid-institutes:grid.412480.b schema:Organization
    55 grid-institutes:grid.412484.f schema:Organization
    56 grid-institutes:grid.413967.e schema:Organization
    57 grid-institutes:grid.415520.7 schema:Organization
    58 grid-institutes:grid.420044.6 schema:Organization
    59 grid-institutes:grid.5406.7 schema:Organization
     




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


    ...