Noha El Zehiry

Ontology type: schema:Person     

Person Info




El Zehiry

Publications in SciGraph latest 50 shown

  • 2017 Deep Convolutional Encoder-Decoders for Prostate Cancer Detection and Classification in MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION − MICCAI 2017
  • 2015 Robust Live Tracking of Mitral Valve Annulus for Minimally-Invasive Intervention Guidance in MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION -- MICCAI 2015
  • 2014 Automatic and Reliable Segmentation of Spinal Canals in Low-Resolution, Low-Contrast CT Images in COMPUTATIONAL METHODS AND CLINICAL APPLICATIONS FOR SPINE IMAGING
  • 2013-09 Combinatorial Optimization of the Discretized Multiphase Mumford–Shah Functional in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2013 Learning the Manifold of Quality Ultrasound Acquisition in ADVANCED INFORMATION SYSTEMS ENGINEERING
  • 2011 Discrete Optimization of the Multiphase Piecewise Constant Mumford-Shah Functional in ENERGY MINIMIZATION METHODS IN COMPUTER VISION AND PATTERN RECOGNITION
  • 2007 Volumetric Mri Analysis Of Dyslexic Subjects Using A Level Set Framework in DEFORMABLE MODELS
  • 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": "", 
        "affiliation": [
            "affiliation": {
              "id": "", 
              "type": "Organization"
            "isCurrent": true, 
            "type": "OrganizationRole"
            "id": "", 
            "type": "Organization"
        "familyName": "El Zehiry", 
        "givenName": "Noha", 
        "id": "sg:person.07657676251.51", 
        "sameAs": [
        "sdDataset": "persons", 
        "sdDatePublished": "2019-03-07T14:04", 
        "sdLicense": "", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        "sdSource": "s3://com-uberresearch-data-dimensions-researchers-20181010/20181011/dim_researchers/base/researchers_1839.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' ''

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

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

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' ''

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

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


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