<?xml version="1.0" encoding="utf-8"?>
<TEI xmlns="http://www.tei-c.org/ns/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:hal="http://hal.archives-ouvertes.fr/" xmlns:gml="http://www.opengis.net/gml/3.3/" xmlns:gmlce="http://www.opengis.net/gml/3.3/ce" version="1.1" xsi:schemaLocation="http://www.tei-c.org/ns/1.0 http://api.archives-ouvertes.fr/documents/aofr-sword.xsd">
  <teiHeader>
    <fileDesc>
      <titleStmt>
        <title>HAL TEI export of hal-02076510</title>
      </titleStmt>
      <publicationStmt>
        <distributor>CCSD</distributor>
        <availability status="restricted">
          <licence target="https://creativecommons.org/publicdomain/zero/1.0/">CC0 1.0 - Universal</licence>
        </availability>
        <date when="2026-05-17T07:24:29+02:00"/>
      </publicationStmt>
      <sourceDesc>
        <p part="N">HAL API Platform</p>
      </sourceDesc>
    </fileDesc>
  </teiHeader>
  <text>
    <body>
      <listBibl>
        <biblFull>
          <titleStmt>
            <title xml:lang="en">ECKO: Ensemble of Clustered Knockoffs for robust multivariate inference on MRI data</title>
            <author role="aut">
              <persName>
                <forename type="first">Tuan-Binh</forename>
                <surname>Nguyen</surname>
              </persName>
              <idno type="idhal" notation="numeric">1200125</idno>
              <idno type="halauthorid" notation="string">1550943-1200125</idno>
              <idno type="ORCID">https://orcid.org/0000-0002-6703-3371</idno>
              <idno type="IDREF">https://www.idref.fr/259433195</idno>
              <affiliation ref="#struct-56051"/>
              <affiliation ref="#struct-118170"/>
              <affiliation ref="#struct-40"/>
              <affiliation ref="#struct-1042460"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Jérôme-Alexis</forename>
                <surname>Chevalier</surname>
              </persName>
              <email type="md5">9d71a52f55c8c8e8e25cc005a2db3008</email>
              <email type="domain">inria.fr</email>
              <idno type="idhal" notation="string">jerome-alexis-chevalier</idno>
              <idno type="idhal" notation="numeric">740212</idno>
              <idno type="halauthorid" notation="string">40591-740212</idno>
              <idno type="ORCID">https://orcid.org/0000-0003-1959-3056</idno>
              <idno type="IDREF">https://www.idref.fr/253224241</idno>
              <affiliation ref="#struct-56051"/>
              <affiliation ref="#struct-118170"/>
              <affiliation ref="#struct-300362"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Bertrand</forename>
                <surname>Thirion</surname>
              </persName>
              <email type="md5">7e13f0e43798e8f4736d80bff2fa694a</email>
              <email type="domain">inria.fr</email>
              <idno type="idhal" notation="numeric">833469</idno>
              <idno type="halauthorid" notation="string">142896-833469</idno>
              <affiliation ref="#struct-56051"/>
              <affiliation ref="#struct-118170"/>
            </author>
            <editor role="depositor">
              <persName>
                <forename>Binh T.</forename>
                <surname>Nguyen</surname>
              </persName>
              <email type="md5">8d4a79bb165b072a2d7b898cb363c789</email>
              <email type="domain">gmail.com</email>
            </editor>
            <funder ref="#projanr-43304"/>
            <funder ref="#projanr-49791"/>
          </titleStmt>
          <editionStmt>
            <edition n="v1" type="current">
              <date type="whenSubmitted">2019-03-22 10:48:53</date>
              <date type="whenModified">2026-02-06 11:36:02</date>
              <date type="whenReleased">2019-04-04 13:44:24</date>
              <date type="whenProduced">2019-06-02</date>
              <date type="whenEndEmbargoed">2019-03-22</date>
              <ref type="file" target="https://hal.science/hal-02076510v1/document">
                <date notBefore="2019-03-22"/>
              </ref>
              <ref type="file" subtype="author" n="1" target="https://hal.science/hal-02076510v1/file/ipmi_2019.pdf" id="file-2076510-2077210">
                <date notBefore="2019-03-22"/>
              </ref>
            </edition>
            <respStmt>
              <resp>contributor</resp>
              <name key="712171">
                <persName>
                  <forename>Binh T.</forename>
                  <surname>Nguyen</surname>
                </persName>
                <email type="md5">8d4a79bb165b072a2d7b898cb363c789</email>
                <email type="domain">gmail.com</email>
              </name>
            </respStmt>
          </editionStmt>
          <publicationStmt>
            <distributor>CCSD</distributor>
            <idno type="halId">hal-02076510</idno>
            <idno type="halUri">https://hal.science/hal-02076510</idno>
            <idno type="halBibtex">nguyen:hal-02076510</idno>
            <idno type="halRefHtml">&lt;i&gt;IPMI 2019 - International Conference on Information Processing in Medical Imaging&lt;/i&gt;, Jun 2019, Hong Kong, Hong Kong SAR China. &lt;a target="_blank" href="https://dx.doi.org/10.1007/978-3-030-20351-1_35"&gt;&amp;#x27E8;10.1007/978-3-030-20351-1_35&amp;#x27E9;&lt;/a&gt;</idno>
            <idno type="halRef">IPMI 2019 - International Conference on Information Processing in Medical Imaging, Jun 2019, Hong Kong, Hong Kong SAR China. &amp;#x27E8;10.1007/978-3-030-20351-1_35&amp;#x27E9;</idno>
            <availability status="restricted">
              <licence target="https://about.hal.science/hal-authorisation-v1/">HAL Authorization<ref corresp="#file-2076510-2077210"/></licence>
            </availability>
          </publicationStmt>
          <seriesStmt>
            <idno type="stamp" n="CEA">CEA - Commissariat à l'énergie atomique</idno>
            <idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno>
            <idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno>
            <idno type="stamp" n="UNIV-PSUD">Université Paris Sud - Paris XI</idno>
            <idno type="stamp" n="ENST">Ecole Nationale Supérieure des Télécommunications</idno>
            <idno type="stamp" n="INRIA-SACLAY" corresp="INRIA">INRIA Saclay - Ile de France</idno>
            <idno type="stamp" n="INSMI">CNRS-INSMI - INstitut des Sciences Mathématiques et de leurs Interactions</idno>
            <idno type="stamp" n="TELECOM-PARISTECH" corresp="PARISTECH">Télécom Paris</idno>
            <idno type="stamp" n="PARISTECH">ParisTech</idno>
            <idno type="stamp" n="INRIA_TEST">INRIA - Institut National de Recherche en Informatique et en Automatique</idno>
            <idno type="stamp" n="LM-ORSAY">Laboratoire de Mathématiques d'Orsay</idno>
            <idno type="stamp" n="TESTALAIN1">TESTALAIN1</idno>
            <idno type="stamp" n="DSV" corresp="CEA">Direction de la recherche fondamentale - sciences du vivant</idno>
            <idno type="stamp" n="INRIA2">INRIA 2</idno>
            <idno type="stamp" n="CEA-UPSAY" corresp="CEA">CEA - Université Paris-Saclay</idno>
            <idno type="stamp" n="UNIV-PARIS-SACLAY">Université Paris-Saclay</idno>
            <idno type="stamp" n="UNIV-PSUD-SACLAY" corresp="UNIV-PARIS-SACLAY">Université Paris Sud pour Paris Saclay</idno>
            <idno type="stamp" n="CEA-UPSAY-SACLAY" corresp="CEA">CEA-UPSAY-SACLAY</idno>
            <idno type="stamp" n="INRIA-SACLAY-2015" corresp="UNIV-PARIS-SACLAY">INRIA-SACLAY-2015</idno>
            <idno type="stamp" n="JOLIOT" corresp="CEA">Institut des Sciences du Vivant Frédéric JOLIOT</idno>
            <idno type="stamp" n="CEA-DRF" corresp="CEA">Direction de Recherche Fondamentale</idno>
            <idno type="stamp" n="NEUROSPIN" corresp="JOLIOT">Département NEUROSPIN</idno>
            <idno type="stamp" n="IP_PARIS">Institut Polytechnique de Paris</idno>
            <idno type="stamp" n="TEST-HALCNRS">Collection test HAL CNRS</idno>
            <idno type="stamp" n="ANR">ANR</idno>
            <idno type="stamp" n="GS-ENGINEERING">Graduate School Sciences de l'Ingénierie et des Systèmes</idno>
            <idno type="stamp" n="GS-MATHEMATIQUES">Graduate School Mathématiques</idno>
            <idno type="stamp" n="GS-COMPUTER-SCIENCE">Graduate School Computer Science</idno>
            <idno type="stamp" n="INSTITUT-MINES-TELECOM">Institut Mines Telecom</idno>
          </seriesStmt>
          <notesStmt>
            <note type="audience" n="2">International</note>
            <note type="invited" n="0">No</note>
            <note type="popular" n="0">No</note>
            <note type="peer" n="1">Yes</note>
            <note type="proceedings" n="1">Yes</note>
          </notesStmt>
          <sourceDesc>
            <biblStruct>
              <analytic>
                <title xml:lang="en">ECKO: Ensemble of Clustered Knockoffs for robust multivariate inference on MRI data</title>
                <author role="aut">
                  <persName>
                    <forename type="first">Tuan-Binh</forename>
                    <surname>Nguyen</surname>
                  </persName>
                  <idno type="idhal" notation="numeric">1200125</idno>
                  <idno type="halauthorid" notation="string">1550943-1200125</idno>
                  <idno type="ORCID">https://orcid.org/0000-0002-6703-3371</idno>
                  <idno type="IDREF">https://www.idref.fr/259433195</idno>
                  <affiliation ref="#struct-56051"/>
                  <affiliation ref="#struct-118170"/>
                  <affiliation ref="#struct-40"/>
                  <affiliation ref="#struct-1042460"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Jérôme-Alexis</forename>
                    <surname>Chevalier</surname>
                  </persName>
                  <email type="md5">9d71a52f55c8c8e8e25cc005a2db3008</email>
                  <email type="domain">inria.fr</email>
                  <idno type="idhal" notation="string">jerome-alexis-chevalier</idno>
                  <idno type="idhal" notation="numeric">740212</idno>
                  <idno type="halauthorid" notation="string">40591-740212</idno>
                  <idno type="ORCID">https://orcid.org/0000-0003-1959-3056</idno>
                  <idno type="IDREF">https://www.idref.fr/253224241</idno>
                  <affiliation ref="#struct-56051"/>
                  <affiliation ref="#struct-118170"/>
                  <affiliation ref="#struct-300362"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Bertrand</forename>
                    <surname>Thirion</surname>
                  </persName>
                  <email type="md5">7e13f0e43798e8f4736d80bff2fa694a</email>
                  <email type="domain">inria.fr</email>
                  <idno type="idhal" notation="numeric">833469</idno>
                  <idno type="halauthorid" notation="string">142896-833469</idno>
                  <affiliation ref="#struct-56051"/>
                  <affiliation ref="#struct-118170"/>
                </author>
              </analytic>
              <monogr>
                <meeting>
                  <title>IPMI 2019 - International Conference on Information Processing in Medical Imaging</title>
                  <date type="start">2019-06-02</date>
                  <date type="end">2019-06-07</date>
                  <settlement>Hong Kong</settlement>
                  <country key="HK">Hong Kong SAR China</country>
                </meeting>
                <imprint>
                  <biblScope unit="serie">Information Processing in Medical Imaging. IPMI 2019. Lecture Notes in Computer Science</biblScope>
                  <biblScope unit="volume">11492</biblScope>
                </imprint>
              </monogr>
              <idno type="doi">10.1007/978-3-030-20351-1_35</idno>
            </biblStruct>
          </sourceDesc>
          <profileDesc>
            <langUsage>
              <language ident="en">English</language>
            </langUsage>
            <textClass>
              <classCode scheme="halDomain" n="stat.me">Statistics [stat]/Methodology [stat.ME]</classCode>
              <classCode scheme="halDomain" n="stat.th">Statistics [stat]/Statistics Theory [stat.TH]</classCode>
              <classCode scheme="halDomain" n="stat.ap">Statistics [stat]/Applications [stat.AP]</classCode>
              <classCode scheme="halDomain" n="scco.neur">Cognitive science/Neuroscience</classCode>
              <classCode scheme="halTypology" n="COMM">Conference papers</classCode>
              <classCode scheme="halOldTypology" n="COMM">Conference papers</classCode>
              <classCode scheme="halTreeTypology" n="COMM">Conference papers</classCode>
            </textClass>
            <abstract xml:lang="en">
              <p>Continuous improvement in medical imaging techniques allows the acquisition of higher-resolution images. When these are used in a predictive setting, a greater number of explanatory variables are potentially related to the dependent variable (the response). Meanwhile, the number of acquisitions per experiment remains limited. In such high dimension/small sample size setting, it is desirable to find the explanatory variables that are truly related to the response while controlling the rate of false discoveries. To achieve this goal, novel multivariate inference procedures, such as knockoff inference, have been proposed recently. However, they require the feature covariance to be well-defined, which is impossible in high-dimensional settings. In this paper, we propose a new algorithm, called Ensemble of Clustered Knockoffs, that allows to select explanatory variables while controlling the false discovery rate (FDR), up to a prescribed spatial tolerance. The core idea is that knockoff-based inference can be applied on groups (clusters) of voxels, which drastically reduces the problem's dimension; an ensembling step then removes the dependence on a fixed clustering and stabilizes the results. We benchmark this algorithm and other FDR-controlling methods on brain imaging datasets and observe empirical gains in sensitivity, while the false discovery rate is controlled at the nominal level.</p>
            </abstract>
          </profileDesc>
        </biblFull>
      </listBibl>
    </body>
    <back>
      <listOrg type="structures">
        <org type="researchteam" xml:id="struct-56051" status="OLD">
          <idno type="RNSR">200919007A</idno>
          <orgName>Modelling brain structure, function and variability based on high-field MRI data</orgName>
          <orgName type="acronym">PARIETAL</orgName>
          <date type="start">2009-07-01</date>
          <date type="end">2022-03-31</date>
          <desc>
            <address>
              <addrLine>Neurospin, CEA Saclay, Bâtiment 145, 91191 Gif-sur-Yvette Cedex</addrLine>
              <country key="FR"/>
            </address>
          </desc>
          <listRelation>
            <relation active="#struct-40417" type="direct"/>
            <relation active="#struct-419361" type="indirect"/>
            <relation active="#struct-487603" type="indirect"/>
            <relation name="DRF" active="#struct-300016" type="indirect"/>
            <relation active="#struct-118511" type="direct"/>
            <relation active="#struct-300009" type="indirect"/>
          </listRelation>
        </org>
        <org type="laboratory" xml:id="struct-118170" status="VALID">
          <orgName>IFR49 - Neurospin - CEA</orgName>
          <desc>
            <address>
              <addrLine>Gif sur Yvette</addrLine>
              <country key="FR"/>
            </address>
          </desc>
          <listRelation>
            <relation active="#struct-300016" type="direct"/>
          </listRelation>
        </org>
        <org type="laboratory" xml:id="struct-40" status="OLD">
          <orgName>Laboratoire de Mathématiques d'Orsay</orgName>
          <orgName type="acronym">LMO</orgName>
          <date type="end">2019-12-31</date>
          <desc>
            <address>
              <addrLine>Bâtiment 307, rue Michel Magat, Faculté des sciences, Université Paris-Saclay, 91405 Orsay Cédex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.math.u-psud.fr</ref>
          </desc>
          <listRelation>
            <relation active="#struct-92966" type="direct"/>
            <relation name="UMR8628" active="#struct-441569" type="direct"/>
          </listRelation>
        </org>
        <org type="researchteam" xml:id="struct-1042460" status="VALID">
          <idno type="RNSR">201923222N</idno>
          <orgName>Statistique mathématique et apprentissage</orgName>
          <orgName type="acronym">CELESTE</orgName>
          <date type="start">2020-01-01</date>
          <date type="end">2027-12-31</date>
          <desc>
            <address>
              <addrLine>Bâtiment 307, 91405, Orsay cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.inria.fr/equipes/celeste</ref>
          </desc>
          <listRelation>
            <relation active="#struct-1042458" type="direct"/>
            <relation active="#struct-419361" type="indirect"/>
            <relation name="UMR8628" active="#struct-441569" type="indirect"/>
            <relation active="#struct-1225627" type="direct"/>
            <relation active="#struct-118511" type="indirect"/>
            <relation active="#struct-300009" type="indirect"/>
          </listRelation>
        </org>
        <org type="institution" xml:id="struct-300362" status="VALID">
          <idno type="ROR">https://ror.org/01naq7912</idno>
          <orgName>Télécom ParisTech</orgName>
          <date type="start">2008-01-01</date>
          <date type="end">2019-06-11</date>
          <desc>
            <address>
              <addrLine>46 rue Barrault 75634 Paris Cedex 13</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.telecom-paris.fr</ref>
          </desc>
        </org>
        <org type="laboratory" xml:id="struct-40417" status="VALID">
          <idno type="RNSR">201722552U</idno>
          <orgName>Service NEUROSPIN</orgName>
          <orgName type="acronym">NEUROSPIN</orgName>
          <desc>
            <address>
              <country key="FR"/>
            </address>
            <ref type="url">https://joliot.cea.fr/drf/joliot/recherche/neurospin</ref>
          </desc>
          <listRelation>
            <relation active="#struct-419361" type="direct"/>
            <relation active="#struct-487603" type="direct"/>
            <relation name="DRF" active="#struct-300016" type="indirect"/>
          </listRelation>
        </org>
        <org type="institution" xml:id="struct-419361" status="VALID">
          <idno type="IdRef">241345251</idno>
          <idno type="ROR">https://ror.org/03xjwb503</idno>
          <orgName>Université Paris-Saclay</orgName>
          <desc>
            <address>
              <addrLine>Bâtiment Bréguet, 3 Rue Joliot Curie 2e ét, 91190 Gif-sur-Yvette</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.universite-paris-saclay.fr/fr</ref>
          </desc>
        </org>
        <org type="regrouplaboratory" xml:id="struct-487603" status="VALID">
          <idno type="IdRef">262253712</idno>
          <idno type="RNSR">201722498K</idno>
          <idno type="ROR">https://ror.org/016pnwd02</idno>
          <idno type="Wikidata">Q61933008</idno>
          <orgName>Institut des Sciences du Vivant Frédéric JOLIOT</orgName>
          <orgName type="acronym">JOLIOT</orgName>
          <date type="start">2017-01-01</date>
          <desc>
            <address>
              <addrLine>DRFCEAGif-sur-Yvette</addrLine>
              <country key="FR"/>
            </address>
          </desc>
          <listRelation>
            <relation name="DRF" active="#struct-300016" type="direct"/>
          </listRelation>
        </org>
        <org type="institution" xml:id="struct-300016" status="VALID">
          <idno type="IdRef">026372061</idno>
          <idno type="ISNI">0000000122998025</idno>
          <idno type="ROR">https://ror.org/00jjx8s55</idno>
          <idno type="Wikidata">Q868550</idno>
          <orgName>Commissariat à l'énergie atomique et aux énergies alternatives</orgName>
          <orgName type="acronym">CEA</orgName>
          <desc>
            <address>
              <addrLine>Centre de SaclayCentre de GrenobleCentre de Cadaracheetc</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.cea.fr/</ref>
          </desc>
        </org>
        <org type="laboratory" xml:id="struct-118511" status="VALID">
          <idno type="RNSR">200818248E</idno>
          <idno type="ROR">https://ror.org/0315e5x55</idno>
          <orgName>Centre Inria de Saclay</orgName>
          <desc>
            <address>
              <addrLine>1 rue Honoré d'Estienne d'OrvesBâtiment Alan TuringCampus de l'École Polytechnique91120 Palaiseau</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.inria.fr/centre/saclay</ref>
          </desc>
          <listRelation>
            <relation active="#struct-300009" type="direct"/>
          </listRelation>
        </org>
        <org type="institution" xml:id="struct-300009" status="VALID">
          <idno type="ROR">https://ror.org/02kvxyf05</idno>
          <orgName>Institut National de Recherche en Informatique et en Automatique</orgName>
          <orgName type="acronym">Inria</orgName>
          <desc>
            <address>
              <addrLine>Domaine de VoluceauRocquencourt - BP 10578153 Le Chesnay Cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.inria.fr/en/</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-92966" status="OLD">
          <idno type="ROR">https://ror.org/028rypz17</idno>
          <orgName>Université Paris-Sud - Paris 11</orgName>
          <orgName type="acronym">UP11</orgName>
          <date type="end">2019-12-31</date>
          <desc>
            <address>
              <addrLine>Bâtiment 300 - 91405 Orsay cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.u-psud.fr/</ref>
          </desc>
        </org>
        <org type="regroupinstitution" xml:id="struct-441569" status="VALID">
          <idno type="IdRef">02636817X</idno>
          <idno type="ISNI">0000000122597504</idno>
          <idno type="ROR">https://ror.org/02feahw73</idno>
          <orgName>Centre National de la Recherche Scientifique</orgName>
          <orgName type="acronym">CNRS</orgName>
          <date type="start">1939-10-19</date>
          <desc>
            <address>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.cnrs.fr/</ref>
          </desc>
        </org>
        <org type="laboratory" xml:id="struct-1042458" status="VALID">
          <idno type="IdRef">152028714</idno>
          <idno type="ISNI">0000000121434842</idno>
          <idno type="RNSR">199812953T</idno>
          <idno type="ROR">https://ror.org/03ab0zs98</idno>
          <orgName>Laboratoire de Mathématiques d'Orsay</orgName>
          <orgName type="acronym">LMO</orgName>
          <date type="start">2020-01-01</date>
          <desc>
            <address>
              <addrLine>Bâtiment 307, 91405, Orsay cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.imo.universite-paris-saclay.fr/fr/la-recherche/</ref>
          </desc>
          <listRelation>
            <relation active="#struct-419361" type="direct"/>
            <relation name="UMR8628" active="#struct-441569" type="direct"/>
          </listRelation>
        </org>
        <org type="department" xml:id="struct-1225627" status="VALID">
          <idno type="ROR">https://ror.org/040753f36</idno>
          <orgName>Centre Inria de l'Université Paris-Saclay</orgName>
          <date type="start">2022-11-01</date>
          <desc>
            <address>
              <addrLine>9 Rue Joliot Curie, 91190 Gif-sur-Yvette</addrLine>
              <country key="FR"/>
            </address>
          </desc>
          <listRelation>
            <relation active="#struct-118511" type="direct"/>
            <relation active="#struct-300009" type="indirect"/>
          </listRelation>
        </org>
      </listOrg>
      <listOrg type="projects">
        <org type="anrProject" xml:id="projanr-43304" status="VALID">
          <idno type="anr">ANR-17-CE23-0011</idno>
          <orgName>FAST-BIG</orgName>
          <desc>Tests Statistiques efficaces pour les données de grande dimension: application à l'imagerie cérébrale et la génétique</desc>
          <date type="start">2017</date>
        </org>
        <org type="anrProject" xml:id="projanr-49791" status="VALID">
          <idno type="anr">ANR-11-LABX-0045</idno>
          <orgName>DIGICOSME</orgName>
          <desc>Mondes numériques: Données, programmes et architectures distribués</desc>
          <date type="start">2011</date>
        </org>
      </listOrg>
    </back>
  </text>
</TEI>