Project deliverable Open Access

euCanSHare. Deliverable 4.3 - Cardiac image analyser

Campello, Victor; Gkontra, Polyxeni


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.4299893", 
  "language": "eng", 
  "title": "euCanSHare. Deliverable 4.3 - Cardiac image analyser", 
  "issued": {
    "date-parts": [
      [
        2020, 
        11, 
        30
      ]
    ]
  }, 
  "abstract": "<p>In this deliverable, euCanSHare presents the Cardiac Image Analyzer, the first open-source image analysis platform for cardiac magnetic resonance images (CMR). Automated CMR analysis is of paramount importance for accurate disease diagnosis and risk stratification. Adequate tools to perform the essential steps of a typical cardiac image analysis pipeline were developed by the University of Barcelona (UB). The tools were subsequently incorporated into the Virtual Research Environment (VRE) of euCanSHare, a platform developed by the Barcelona Supercomputing Center (BSC). The tools are offered as cloud-based services to the users, free of any charge. The deliverable is the series of open-source software/tools that comprise the euCanSHare Cardiac Image Analyser implemented in the VRE. The present document provides a description of the developed tools and their usage. The platform will be tested during 2020-2021 and any necessary adaptations according to the users&rsquo; needs will be performed.</p>", 
  "author": [
    {
      "family": "Campello, Victor"
    }, 
    {
      "family": "Gkontra, Polyxeni"
    }
  ], 
  "note": "This deliverable has been produced in the context of the euCanSHare (An EU-Canada joint infrastructure for next-generation multi-Study Heart research) Research and Innovation Action, funded by the European Union's Horizon 2020 programme (grant agreement No 825903), the Canadian Institutes of Health Research (CIHR) and the Fonds de recherche du Qu\u00e9bec \u2013 Sant\u00e9 under the framework of Canada\u2010EU Commission Flagship Collaboration for Human data storage, integration and sharing.", 
  "type": "report", 
  "id": "4299893"
}
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