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


MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
  <leader>00000nam##2200000uu#4500</leader>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">AI, Medical Imaging, Deep Learning</subfield>
  </datafield>
  <controlfield tag="005">20211013163443.0</controlfield>
  <controlfield tag="001">5564826</controlfield>
  <datafield tag="711" ind1=" " ind2=" ">
    <subfield code="d">9-10 Settembre 2021</subfield>
    <subfield code="g">CARDIOX</subfield>
    <subfield code="a">Convegno Nazionale Sezione di Cardioradiologia</subfield>
    <subfield code="c">Turin, Italy</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Città della Salute e della Scienza of Turin</subfield>
    <subfield code="a">Giorgio Limerutti</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Città della Salute e della Scienza of Turin</subfield>
    <subfield code="a">Marco Calandri</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Città della Salute e della Scienza of Turin</subfield>
    <subfield code="a">Marco Grosso</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Computer Science Department, University of Turin</subfield>
    <subfield code="0">(orcid)0000-0002-2709-7864</subfield>
    <subfield code="a">Marco Grangetto</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Computer Science Department, University of Turin</subfield>
    <subfield code="a">Maurizio Lucenteforte</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Computer Science Department, University of Turin</subfield>
    <subfield code="0">(orcid)0000-0003-4274-8298</subfield>
    <subfield code="a">Enzo Tartaglione</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Computer Science Department, University of Turin</subfield>
    <subfield code="a">Davide Cavagnino</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Computer Science Department, University of Turin</subfield>
    <subfield code="a">Riccardo Renzulli</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Computer Science Department, University of Turin</subfield>
    <subfield code="0">(orcid)0000-0001-6879-8475</subfield>
    <subfield code="a">Daniele Perlo</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">2896184</subfield>
    <subfield code="z">md5:c06e93c4799314bc6fc68ab0ac1a2371</subfield>
    <subfield code="u">https://zenodo.org/record/5564826/files/DEEPHEALTH_Cardiologia2021.pdf</subfield>
  </datafield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="y">Conference website</subfield>
    <subfield code="u">https://sirm.org/2021/08/26/torino-9-10-settembre-2021-convegno-nazionale-sezione-di-cardioradiologia-cardiox/?fbclid=IwAR1WBbr8r4VIKwy5jc_ewHEbYC5eMTyErX2uTgrLZMx1hRWW-ojz4u5AluA</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2021-09-09</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="p">openaire</subfield>
    <subfield code="p">user-deephealth</subfield>
    <subfield code="o">oai:zenodo.org:5564826</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="u">Città della Salute e della Scienza of Turin</subfield>
    <subfield code="a">Paolo Fonio</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">Boosting Medical Imaging with AI</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">user-deephealth</subfield>
  </datafield>
  <datafield tag="536" ind1=" " ind2=" ">
    <subfield code="c">825111</subfield>
    <subfield code="a">Deep-Learning and HPC to Boost Biomedical Applications for Health</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield>
    <subfield code="a">Creative Commons Attribution 4.0 International</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2">opendefinition.org</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&lt;p&gt;As part of the&amp;nbsp;&lt;a href="https://sirm.org/2021/08/26/torino-9-10-settembre-2021-convegno-nazionale-sezione-di-cardioradiologia-cardiox/?fbclid=IwAR1WBbr8r4VIKwy5jc_ewHEbYC5eMTyErX2uTgrLZMx1hRWW-ojz4u5AluA"&gt;CardioX&lt;/a&gt;&amp;nbsp;event, organized by SIRM &amp;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.&lt;/p&gt;

&lt;p&gt;The Department of Diagnostic Imaging and Interventional Radiology of Citt&amp;agrave; della Salute e della Scienza of Turin, for some years, has set up a laboratory of&amp;nbsp;&lt;a href="https://www.cittadellasalute.to.it/index.php?option=com_content&amp;amp;view=article&amp;amp;id=8451%3Adipartimento-diagnostica-per-immagini-e-radiologia-interventistica-direttore-prof-paolo-fonio&amp;amp;catid=369%3Adipartimenti-assistenziali-&amp;amp;Itemid=581"&gt;Radiomics&lt;/a&gt;&amp;nbsp;and Giorgio Limerutti and Paolo Fonio are responsible for it.&lt;/p&gt;

&lt;p&gt;Citt&amp;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 &amp;ldquo;DeepHealth&amp;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).&lt;/p&gt;

&lt;p&gt;The purpose of these &amp;ldquo;Boosting medical imaging with AI&amp;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).&amp;nbsp;&lt;/p&gt;</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="n">doi</subfield>
    <subfield code="i">isVersionOf</subfield>
    <subfield code="a">10.5281/zenodo.5564825</subfield>
  </datafield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.5281/zenodo.5564826</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">presentation</subfield>
  </datafield>
</record>
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