Presentation Open Access

Boosting Medical Imaging with AI

Paolo Fonio; Giorgio Limerutti; Marco Calandri; Marco Grosso; Marco Grangetto; Maurizio Lucenteforte; Enzo Tartaglione; Davide Cavagnino; Riccardo Renzulli; Daniele Perlo


JSON-LD (schema.org) Export

{
  "description": "<p>As part of the&nbsp;<a href=\"https://sirm.org/2021/08/26/torino-9-10-settembre-2021-convegno-nazionale-sezione-di-cardioradiologia-cardiox/?fbclid=IwAR1WBbr8r4VIKwy5jc_ewHEbYC5eMTyErX2uTgrLZMx1hRWW-ojz4u5AluA\">CardioX</a>&nbsp;event, organized by SIRM &ndash; Italian Society of Medical and Interventional Radiology on 9 and 10 September at OGR Turin, workshops were held on the relationship between Artificial Intelligence and Radiology.</p>\n\n<p>The Department of Diagnostic Imaging and Interventional Radiology of Citt&agrave; della Salute e della Scienza of Turin, for some years, has set up a laboratory of&nbsp;<a href=\"https://www.cittadellasalute.to.it/index.php?option=com_content&amp;view=article&amp;id=8451%3Adipartimento-diagnostica-per-immagini-e-radiologia-interventistica-direttore-prof-paolo-fonio&amp;catid=369%3Adipartimenti-assistenziali-&amp;Itemid=581\">Radiomics</a>&nbsp;and Giorgio Limerutti and Paolo Fonio are responsible for it.</p>\n\n<p>Citt&agrave; della Salute e della Scienza and the Computer Science Department of the University of Turin work side by side on multiple research topics and in particular in the &ldquo;DeepHealth&rdquo; project where, under the coordination of Marco Grangetto, they are involved both in the application level part, as responsible of three medical use cases and in the technical one, addressing AI technology and parallel and distributed platform (based on HPC4AI).</p>\n\n<p>The purpose of these &ldquo;Boosting medical imaging with AI&rdquo; workshops, held on 9 and 10 September, was to illustrate the activities of the laboratory and the progress of the ongoing experimentation in the DeepHealth project. The session covered the following topics: perspective of AI in medical imaging, presentation of the main outcomes of the DeepHealth project, interactive demo on CT scan segmentation (DeepHealth use case).&nbsp;</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Citt\u00e0 della Salute e della Scienza of Turin", 
      "@type": "Person", 
      "name": "Paolo Fonio"
    }, 
    {
      "affiliation": "Citt\u00e0 della Salute e della Scienza of Turin", 
      "@type": "Person", 
      "name": "Giorgio Limerutti"
    }, 
    {
      "affiliation": "Citt\u00e0 della Salute e della Scienza of Turin", 
      "@type": "Person", 
      "name": "Marco Calandri"
    }, 
    {
      "affiliation": "Citt\u00e0 della Salute e della Scienza of Turin", 
      "@type": "Person", 
      "name": "Marco Grosso"
    }, 
    {
      "affiliation": "Computer Science Department, University of Turin", 
      "@id": "https://orcid.org/0000-0002-2709-7864", 
      "@type": "Person", 
      "name": "Marco Grangetto"
    }, 
    {
      "affiliation": "Computer Science Department, University of Turin", 
      "@type": "Person", 
      "name": "Maurizio Lucenteforte"
    }, 
    {
      "affiliation": "Computer Science Department, University of Turin", 
      "@id": "https://orcid.org/0000-0003-4274-8298", 
      "@type": "Person", 
      "name": "Enzo Tartaglione"
    }, 
    {
      "affiliation": "Computer Science Department, University of Turin", 
      "@type": "Person", 
      "name": "Davide Cavagnino"
    }, 
    {
      "affiliation": "Computer Science Department, University of Turin", 
      "@type": "Person", 
      "name": "Riccardo Renzulli"
    }, 
    {
      "affiliation": "Computer Science Department, University of Turin", 
      "@id": "https://orcid.org/0000-0001-6879-8475", 
      "@type": "Person", 
      "name": "Daniele Perlo"
    }
  ], 
  "url": "https://zenodo.org/record/5564826", 
  "datePublished": "2021-09-09", 
  "@type": "PresentationDigitalDocument", 
  "keywords": [
    "AI, Medical Imaging, Deep Learning"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.5564826", 
  "@id": "https://doi.org/10.5281/zenodo.5564826", 
  "workFeatured": {
    "url": "https://sirm.org/2021/08/26/torino-9-10-settembre-2021-convegno-nazionale-sezione-di-cardioradiologia-cardiox/?fbclid=IwAR1WBbr8r4VIKwy5jc_ewHEbYC5eMTyErX2uTgrLZMx1hRWW-ojz4u5AluA", 
    "alternateName": "CARDIOX", 
    "location": "Turin, Italy", 
    "@type": "Event", 
    "name": "Convegno Nazionale Sezione di Cardioradiologia"
  }, 
  "name": "Boosting Medical Imaging with AI"
}
116
62
views
downloads
All versions This version
Views 116116
Downloads 6262
Data volume 179.6 MB179.6 MB
Unique views 8585
Unique downloads 5959

Share

Cite as