Ezequiel Geremia

Ontology type: schema:Person     

Person Info





Publications in SciGraph latest 50 shown

  • 2013 Brain Tumor Cell Density Estimation from Multi-modal MR Images Based on a Synthetic Tumor Growth Model in MEDICAL COMPUTER VISION. RECOGNITION TECHNIQUES AND APPLICATIONS IN MEDICAL IMAGING
  • 2013 Classification Forests for Semantic Segmentation of Brain Lesions in Multi-channel MRI in DECISION FORESTS FOR COMPUTER VISION AND MEDICAL IMAGE ANALYSIS
  • 2012 Predicting the Location of Glioma Recurrence after a Resection Surgery in SPATIO-TEMPORAL IMAGE ANALYSIS FOR LONGITUDINAL AND TIME-SERIES IMAGE DATA
  • 2012 Layered Spatio-temporal Forests for Left Ventricle Segmentation from 4D Cardiac MRI Data in STATISTICAL ATLASES AND COMPUTATIONAL MODELS OF THE HEART. IMAGING AND MODELLING CHALLENGES
  • 2010 Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel MR Images in MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION – MICCAI 2010
  • 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.5328.c", 
              "type": "Organization"
            "isCurrent": true, 
            "type": "OrganizationRole"
            "id": "https://www.grid.ac/institutes/grid.24488.32", 
            "type": "Organization"
        "familyName": "Geremia", 
        "givenName": "Ezequiel", 
        "id": "sg:person.01054000753.26", 
        "sameAs": [
        "sdDataset": "persons", 
        "sdDatePublished": "2019-03-07T15:08", 
        "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_819.json", 
        "type": "Person"

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


    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.01054000753.26'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/person.01054000753.26'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/person.01054000753.26'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/person.01054000753.26'


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