<?xml version="1.0"?>
<rss version="2.0">
   <channel>
      <title>Master EEA SISEA by DENIS</title>
      <link>https://padlet.com/lenaick_denis/2jcy8ekiswnd</link>
      <description>Sauvegarder vos références bibliographiques</description>
      <language>en-us</language>
      <pubDate>2017-10-19 09:21:36 UTC</pubDate>
      <lastBuildDate>2023-05-10 01:49:51 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
      <image>
         <url></url>
      </image>
      <item>
         <title>Noms Prénoms</title>
         <author>lenaick_denis</author>
         <link>https://padlet.com/lenaick_denis/2jcy8ekiswnd/wish/198578708</link>
         <description><![CDATA[<div>Sujet<br>Vos références bibliographiques :</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-10-19 09:46:53 UTC</pubDate>
         <guid>https://padlet.com/lenaick_denis/2jcy8ekiswnd/wish/198578708</guid>
      </item>
      <item>
         <title>Fontaine Pierre</title>
         <author></author>
         <link>https://padlet.com/lenaick_denis/2jcy8ekiswnd/wish/201115236</link>
         <description><![CDATA[<blockquote><strong>Sujet: <br></strong>Analyse d’images multi-modales pour la prédiction de la récidive en<br>radiothérapie (via méthodologie RADIOMICS).</blockquote><div><br><strong>Mots-clés:</strong></div><blockquote>Radiomics, tumeur du foie, tumeur de la prostate  prédiction de la récidive classification, machine learning, analyse multi-modale, imagerie médicale, traitement et analyse d'images.</blockquote><div><br></div><div><strong>Références :</strong></div><ol><li><a href="http://www.sciencedirect.com/science/article/pii/S0959804911009993?via%3Dihub">http://www.sciencedirect.com/science/article/pii/S0959804911009993?via%3Dihub</a> (article)</li><li><a href="http://www.ajnr.org/content/early/2017/10/05/ajnr.A5391.long">http://www.ajnr.org/content/early/2017/10/05/ajnr.A5391.long</a> (article)</li><li><a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4898734/">https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4898734/</a> (article)</li></ol><div><br></div>]]></description>
         <enclosure url="http://www.rsna.org/uploadedImages/RSNA/Content/News/2015/02Feb/Radiomics%20Slide%2017_fmt.png" />
         <pubDate>2017-10-27 08:24:36 UTC</pubDate>
         <guid>https://padlet.com/lenaick_denis/2jcy8ekiswnd/wish/201115236</guid>
      </item>
      <item>
         <title>Hanni Guessoum</title>
         <author></author>
         <link>https://padlet.com/lenaick_denis/2jcy8ekiswnd/wish/201115299</link>
         <description><![CDATA[<div><strong>Sujet: </strong>Analyse et evaluation des competences chirurgical a l'aide d'interfaces cerveau-ordinateur de type EEG.<br><br><strong>Mots-Clés: </strong>Electroencephalography (EEG),Independent Component Analysis (ICA), Canonical Correlation Analysis(CCA), Blind Source Separation (BSS).SOBI Algorithm.WD Preprocessing.<br><strong>References:</strong><br>[1] <a href="http://www.sciencedirect.com/science/article/pii/S1053811917304469?via%3Dihub">http://www.sciencedirect.com/science/article/pii/S1053811917304469?via%3Dihub</a><br>[2] <a href="https://arxiv.org/abs/1702.02873">https://arxiv.org/abs/1702.02873</a><br>[3] <a href="http://ieeexplore.ieee.org.passerelle.univ-rennes1.fr/document/554307/">plore.ieee.org.passerelle.univ-rennes1.fr/document/554307/</a><br>[4]<a href="http://www.sciencedirect.com.passerelle.univ-rennes1.fr/search?qs=SISSY%3A+an+efficient+and+automatic+algorithm+for+the+analysis+of+EEG+sources+based+on+structured+sparsity+&amp;authors=&amp;pub=&amp;volume=&amp;issue=&amp;page=&amp;origin=home&amp;zone=qSearch">http://www.sciencedirect.com.passerelle.univ-rennes1.fr/search?qs=SISSY%3A+an+efficient+and+automatic+algorithm+for+the+analysis+of+EEG+sources+based+on+structured+sparsity+&amp;authors=&amp;pub=&amp;volume=&amp;issue=&amp;page=&amp;origin=home&amp;zone=qSearch</a></div>]]></description>
         <enclosure url="" />
         <pubDate>2017-10-27 08:24:54 UTC</pubDate>
         <guid>https://padlet.com/lenaick_denis/2jcy8ekiswnd/wish/201115299</guid>
      </item>
      <item>
         <title>Fatemeh Nasiri</title>
         <author></author>
         <link>https://padlet.com/lenaick_denis/2jcy8ekiswnd/wish/201115301</link>
         <description><![CDATA[<div>Subject : &nbsp;</div><div>Analysis of Multi-modal images&nbsp; for the prediction of recurrence in radiotherapy <br><br>key words: Radiomics, multi-modals Images, Prostate Cancer, Machine learning.<br><br>References: <br>[1] <a href="https://www.ncbi.nlm.nih.gov/pubmed/22257792">https://www.ncbi.nlm.nih.gov/pubmed/22257792</a> <br>[2]<a href="http://ieeexplore.ieee.org.passerelle.univ-rennes1.fr/document/8036869/">http://ieeexplore.ieee.org.passerelle.univ-rennes1.fr/document/8036869/</a><br><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2017-10-27 08:24:55 UTC</pubDate>
         <guid>https://padlet.com/lenaick_denis/2jcy8ekiswnd/wish/201115301</guid>
      </item>
      <item>
         <title>Lianchen LI</title>
         <author></author>
         <link>https://padlet.com/lenaick_denis/2jcy8ekiswnd/wish/201115323</link>
         <description><![CDATA[<div><strong>Sujet:</strong><br><em>Détection de mouvements de bébés prématurés à partir de la méthode de régression logistique<br><br></em><strong>Mots-clés:</strong><br><em>DigiNewB,EEG,Régression logistique,Matlab,classification,<br>itération,segmentation,machine learning.<br><br></em><strong>Références:<br>[1].</strong><a href="http://ieeexplore.ieee.org.passerelle.univ-rennes1.fr/document/7840828/?part=1"><strong>http://ieeexplore.ieee.org.passerelle.univ-rennes1.fr/document/7840828/?part=1</strong></a><strong><br>[2].</strong><a href="http://www.sciencedirect.com/science/article/pii/S0761842505854506"><strong>http://www.sciencedirect.com/science/article/pii/S0761842505854506</strong></a><strong><br></strong><br><br><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2017-10-27 08:25:01 UTC</pubDate>
         <guid>https://padlet.com/lenaick_denis/2jcy8ekiswnd/wish/201115323</guid>
      </item>
      <item>
         <title>batoul dahman</title>
         <author></author>
         <link>https://padlet.com/lenaick_denis/2jcy8ekiswnd/wish/201115336</link>
         <description><![CDATA[<div>Detection de movements de bebes prematures a partit de la methode<br>&nbsp;de regression logistique<br><br><br>article Sc direct : <br><a href="http://www.sciencedirect.com.passerelle.univ-rennes1.fr/science/article/pii/S1959031817300544">http://www.sciencedirect.com.passerelle.univ-rennes1.fr/science/article/pii/S1959031817300544</a><br>Mot cles</div>]]></description>
         <enclosure url="" />
         <pubDate>2017-10-27 08:25:04 UTC</pubDate>
         <guid>https://padlet.com/lenaick_denis/2jcy8ekiswnd/wish/201115336</guid>
      </item>
      <item>
         <title>Lizhou LIU</title>
         <author></author>
         <link>https://padlet.com/lenaick_denis/2jcy8ekiswnd/wish/201115371</link>
         <description><![CDATA[<pre><strong>Sujet</strong>: Détection de mouvements de bébé prématures à partir de la méthode de régression logistique</pre><div><br></div><pre><strong>Mot clés</strong>: régression logistique, détection des mouvements</pre><div><mark><br></mark><br></div><div><strong>Référence</strong>: </div><blockquote><a href="http://www.sciencedirect.com/science/article/pii/S0761842505854506">http://www.sciencedirect.com/science/article/pii/S0761842505854506</a></blockquote><div><br></div><blockquote><a href="http://www.sciencedirect.com/science/article/pii/S1746809415000749">http://www.sciencedirect.com/science/article/pii/S1746809415000749</a></blockquote><div><br></div><blockquote><a href="https://www.math.univ-toulouse.fr/~besse/Wikistat/pdf/st-m-app-rlogit.pdf">https://www.math.univ-toulouse.fr/~besse/Wikistat/pdf/st-m-app-rlogit.pdf</a></blockquote><div><br></div>]]></description>
         <enclosure url="https://padletuploads.blob.core.windows.net/prod/233743579/e5a718b626e1b338a11dbee839360534/Gretsi_poree_2017.pdf" />
         <pubDate>2017-10-27 08:25:15 UTC</pubDate>
         <guid>https://padlet.com/lenaick_denis/2jcy8ekiswnd/wish/201115371</guid>
      </item>
      <item>
         <title>Zoubiri Abdellah</title>
         <author></author>
         <link>https://padlet.com/lenaick_denis/2jcy8ekiswnd/wish/201115769</link>
         <description><![CDATA[<div>sujet:<br>Analyse et evoluation des competences chirugical&nbsp; a l'aide d'interfaces cerveau-ordinateur de type EEG<br><br>Mots-clés :<br>EEG, reconnaissance d'émotion, localisation de source, connectivité fonctionnelle, Analyse indépendante des composants (ICA),Couplage d'amplitude de phase.<br>Réference:<br>[1] <br><a href="http://ieeexplore.ieee.org.passerelle.univ-rennes1.fr/document/7906577/">http://ieeexplore.ieee.org.<br>passerelle.univ-rennes1.fr/document/7906577/</a><br>[2] <a href="http://www.sciencedirect.com.passerelle.univ-rennes1.fr/science/article/pii/S1053811916303263">http://www.sciencedirect.com.passerelle.univ-rennes1.fr/science/article/pii/S1053811916303263</a><br>[3] <a href="http://www.sciencedirect.com.passerelle.univ-rennes1.fr/science/article/pii/S0920996413005756">http://www.sciencedirect.com.passerelle.univ-rennes1.fr/science/article/pii/S0920996413005756</a></div>]]></description>
         <enclosure url="" />
         <pubDate>2017-10-27 08:27:21 UTC</pubDate>
         <guid>https://padlet.com/lenaick_denis/2jcy8ekiswnd/wish/201115769</guid>
      </item>
      <item>
         <title></title>
         <author></author>
         <link>https://padlet.com/lenaick_denis/2jcy8ekiswnd/wish/201125579</link>
         <description><![CDATA[]]></description>
         <enclosure url="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4533986/" />
         <pubDate>2017-10-27 09:24:13 UTC</pubDate>
         <guid>https://padlet.com/lenaick_denis/2jcy8ekiswnd/wish/201125579</guid>
      </item>
   </channel>
</rss>
