<?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-01845688</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="2026-05-19T18:05:46+02:00"/>
      </publicationStmt>
      <sourceDesc>
        <p part="N">HAL API Platform</p>
      </sourceDesc>
    </fileDesc>
  </teiHeader>
  <text>
    <body>
      <listBibl>
        <biblFull>
          <titleStmt>
            <title xml:lang="en">Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic Registration</title>
            <author role="aut">
              <persName>
                <forename type="first">Julian</forename>
                <surname>Krebs</surname>
              </persName>
              <email type="md5">77a31affbfa2fdd5aeaa1708a4c18eba</email>
              <email type="domain">inria.fr</email>
              <idno type="idhal" notation="numeric">1013799</idno>
              <idno type="halauthorid" notation="string">1206777-1013799</idno>
              <affiliation ref="#struct-525212"/>
              <affiliation ref="#struct-551344"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Tommaso</forename>
                <surname>Mansi</surname>
              </persName>
              <email type="md5">88a3af76193ee065e09542f885ddf18f</email>
              <email type="domain">yahoo.fr</email>
              <idno type="idhal" notation="numeric">863245</idno>
              <idno type="halauthorid" notation="string">415923-863245</idno>
              <affiliation ref="#struct-551344"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Boris</forename>
                <surname>Mailhé</surname>
              </persName>
              <email type="md5">98decb6fb5eff4442a6b20a2d2e6e2c2</email>
              <email type="domain">irisa.fr</email>
              <idno type="idhal" notation="numeric">856985</idno>
              <idno type="halauthorid" notation="string">371486-856985</idno>
              <idno type="ORCID">https://orcid.org/0000-0002-4531-392X</idno>
              <idno type="IDREF">https://www.idref.fr/148378811</idno>
              <idno type="RESEARCHERID">http://www.researcherid.com/rid/ITI-7636-2023</idno>
              <affiliation ref="#struct-551344"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Nicholas</forename>
                <surname>Ayache</surname>
              </persName>
              <email type="md5">9acf4d3624bc46705cec66854ce9e456</email>
              <email type="domain">inria.fr</email>
              <idno type="idhal" notation="string">nicholas-ayache</idno>
              <idno type="idhal" notation="numeric">833436</idno>
              <idno type="halauthorid" notation="string">142607-833436</idno>
              <idno type="ORCID">https://orcid.org/0009-0007-2359-9596</idno>
              <affiliation ref="#struct-525212"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Hervé</forename>
                <surname>Delingette</surname>
              </persName>
              <email type="md5">c70509137c97ce71dd2c05ca7ab5b80c</email>
              <email type="domain">inria.fr</email>
              <ptr type="url" target="https://www-sop.inria.fr/members/Herve.Delingette/"/>
              <idno type="idhal" notation="string">herve-delingette</idno>
              <idno type="idhal" notation="numeric">2424</idno>
              <idno type="halauthorid" notation="string">22115-2424</idno>
              <idno type="IDREF">https://www.idref.fr/050645714</idno>
              <idno type="ORCID">https://orcid.org/0000-0001-6050-5949</idno>
              <affiliation ref="#struct-525212"/>
            </author>
            <editor role="depositor">
              <persName>
                <forename>Julian</forename>
                <surname>Krebs</surname>
              </persName>
              <email type="md5">9b6beaa45443a3d2238b81bdf11c9c2a</email>
              <email type="domain">gmail.com</email>
            </editor>
          </titleStmt>
          <editionStmt>
            <edition n="v1" type="current">
              <date type="whenSubmitted">2018-07-20 15:27:49</date>
              <date type="whenModified">2025-08-26 15:21:01</date>
              <date type="whenReleased">2018-07-20 15:41:32</date>
              <date type="whenProduced">2018-09-20</date>
              <date type="whenEndEmbargoed">2018-07-20</date>
              <ref type="file" target="https://inria.hal.science/hal-01845688v1/document">
                <date notBefore="2018-07-20"/>
              </ref>
              <ref type="file" subtype="author" n="1" target="https://inria.hal.science/hal-01845688v1/file/32_dlmia18.pdf" id="file-1845688-1870226">
                <date notBefore="2018-07-20"/>
              </ref>
            </edition>
            <respStmt>
              <resp>contributor</resp>
              <name key="645278">
                <persName>
                  <forename>Julian</forename>
                  <surname>Krebs</surname>
                </persName>
                <email type="md5">9b6beaa45443a3d2238b81bdf11c9c2a</email>
                <email type="domain">gmail.com</email>
              </name>
            </respStmt>
          </editionStmt>
          <publicationStmt>
            <distributor>CCSD</distributor>
            <idno type="halId">hal-01845688</idno>
            <idno type="halUri">https://inria.hal.science/hal-01845688</idno>
            <idno type="halBibtex">krebs:hal-01845688</idno>
            <idno type="halRefHtml">&lt;i&gt;Deep Learning in Medical Image Analysis (MICCAI workshop)&lt;/i&gt;, Sep 2018, Granada, Spain</idno>
            <idno type="halRef">Deep Learning in Medical Image Analysis (MICCAI workshop), Sep 2018, Granada, Spain</idno>
            <availability status="restricted">
              <licence target="https://about.hal.science/hal-authorisation-v1/">HAL Authorization<ref corresp="#file-1845688-1870226"/></licence>
            </availability>
          </publicationStmt>
          <seriesStmt>
            <idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno>
            <idno type="stamp" n="INRIA-SOPHIA">INRIA Sophia Antipolis - Méditerranée</idno>
            <idno type="stamp" n="INRIASO">INRIA-SOPHIA</idno>
            <idno type="stamp" n="INRIA_TEST">INRIA - Institut National de Recherche en Informatique et en Automatique</idno>
            <idno type="stamp" n="TESTALAIN1">TESTALAIN1</idno>
            <idno type="stamp" n="INRIA2">INRIA 2</idno>
            <idno type="stamp" n="UNIV-COTEDAZUR">Université Côte d'Azur</idno>
            <idno type="stamp" n="INRIA-ETATSUNIS">Copublications Inria-Etats-Unis</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">Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic Registration</title>
                <author role="aut">
                  <persName>
                    <forename type="first">Julian</forename>
                    <surname>Krebs</surname>
                  </persName>
                  <email type="md5">77a31affbfa2fdd5aeaa1708a4c18eba</email>
                  <email type="domain">inria.fr</email>
                  <idno type="idhal" notation="numeric">1013799</idno>
                  <idno type="halauthorid" notation="string">1206777-1013799</idno>
                  <affiliation ref="#struct-525212"/>
                  <affiliation ref="#struct-551344"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Tommaso</forename>
                    <surname>Mansi</surname>
                  </persName>
                  <email type="md5">88a3af76193ee065e09542f885ddf18f</email>
                  <email type="domain">yahoo.fr</email>
                  <idno type="idhal" notation="numeric">863245</idno>
                  <idno type="halauthorid" notation="string">415923-863245</idno>
                  <affiliation ref="#struct-551344"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Boris</forename>
                    <surname>Mailhé</surname>
                  </persName>
                  <email type="md5">98decb6fb5eff4442a6b20a2d2e6e2c2</email>
                  <email type="domain">irisa.fr</email>
                  <idno type="idhal" notation="numeric">856985</idno>
                  <idno type="halauthorid" notation="string">371486-856985</idno>
                  <idno type="ORCID">https://orcid.org/0000-0002-4531-392X</idno>
                  <idno type="IDREF">https://www.idref.fr/148378811</idno>
                  <idno type="RESEARCHERID">http://www.researcherid.com/rid/ITI-7636-2023</idno>
                  <affiliation ref="#struct-551344"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Nicholas</forename>
                    <surname>Ayache</surname>
                  </persName>
                  <email type="md5">9acf4d3624bc46705cec66854ce9e456</email>
                  <email type="domain">inria.fr</email>
                  <idno type="idhal" notation="string">nicholas-ayache</idno>
                  <idno type="idhal" notation="numeric">833436</idno>
                  <idno type="halauthorid" notation="string">142607-833436</idno>
                  <idno type="ORCID">https://orcid.org/0009-0007-2359-9596</idno>
                  <affiliation ref="#struct-525212"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Hervé</forename>
                    <surname>Delingette</surname>
                  </persName>
                  <email type="md5">c70509137c97ce71dd2c05ca7ab5b80c</email>
                  <email type="domain">inria.fr</email>
                  <ptr type="url" target="https://www-sop.inria.fr/members/Herve.Delingette/"/>
                  <idno type="idhal" notation="string">herve-delingette</idno>
                  <idno type="idhal" notation="numeric">2424</idno>
                  <idno type="halauthorid" notation="string">22115-2424</idno>
                  <idno type="IDREF">https://www.idref.fr/050645714</idno>
                  <idno type="ORCID">https://orcid.org/0000-0001-6050-5949</idno>
                  <affiliation ref="#struct-525212"/>
                </author>
              </analytic>
              <monogr>
                <meeting>
                  <title>Deep Learning in Medical Image Analysis (MICCAI workshop)</title>
                  <date type="start">2018-09-20</date>
                  <settlement>Granada</settlement>
                  <country key="ES">Spain</country>
                </meeting>
                <imprint/>
              </monogr>
            </biblStruct>
          </sourceDesc>
          <profileDesc>
            <langUsage>
              <language ident="en">English</language>
            </langUsage>
            <textClass>
              <keywords scheme="author">
                <term xml:lang="en">Medical imaging analysis</term>
                <term xml:lang="en">Deep learning</term>
                <term xml:lang="en">Image registration</term>
              </keywords>
              <classCode scheme="halDomain" n="info.info-im">Computer Science [cs]/Medical Imaging</classCode>
              <classCode scheme="halDomain" n="info.info-ai">Computer Science [cs]/Artificial Intelligence [cs.AI]</classCode>
              <classCode scheme="halDomain" n="info.info-ti">Computer Science [cs]/Image Processing [eess.IV]</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>We propose a deformable registration algorithm based on unsupervised learning of a low-dimensional probabilistic parameterization of deformations. We model registration in a probabilistic and generative fashion, by applying a conditional variational autoencoder (CVAE) network. This model enables to also generate normal or pathological deformations of any new image based on the probabilistic latent space. Most recent learning-based registration algorithms use supervised labels or deformation models, that miss important properties such as diffeomorphism and sufficiently regular deformation fields. In this work, we constrain transformations to be diffeomorphic by using a differentiable exponentiation layer with a symmetric loss function. We evaluated our method on 330 cardiac MR sequences and demonstrate robust intra-subject registration results comparable to two state-of-the-art methods but with more regular deformation fields compared to a recent learning-based algorithm. Our method reached a mean DICE score of 78.3% and a mean Hausdorff distance of 7.9mm. In two preliminary experiments, we illustrate the model's abilities to transport pathological deformations to healthy subjects and to cluster five diseases in the unsupervised deformation encoding space with a classification performance of 70%. </p>
            </abstract>
          </profileDesc>
        </biblFull>
      </listBibl>
    </body>
    <back>
      <listOrg type="structures">
        <org type="researchteam" xml:id="struct-525212" status="VALID">
          <idno type="RNSR">201822641L</idno>
          <idno type="ROR">https://ror.org/05sxdf220</idno>
          <orgName>E-Patient : Images, données &amp; mOdèles pour la médeciNe numériquE</orgName>
          <orgName type="acronym">EPIONE</orgName>
          <date type="start">2018-01-01</date>
          <date type="end">2027-12-31</date>
          <desc>
            <address>
              <addrLine>2004 route des Lucioles BP 93 06902 Sophia Antipolis</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.inria.fr/equipes/epione</ref>
          </desc>
          <listRelation>
            <relation active="#struct-34586" type="direct"/>
            <relation active="#struct-300009" type="indirect"/>
          </listRelation>
        </org>
        <org type="institution" xml:id="struct-551344" status="VALID">
          <orgName>Siemens Healthineers, Digital Services, Digital Technology and Innovation</orgName>
          <desc>
            <address>
              <addrLine>755 College Rd E, Princeton, NJ 08540, États-Unis</addrLine>
              <country key="US"/>
            </address>
          </desc>
        </org>
        <org type="laboratory" xml:id="struct-34586" status="VALID">
          <idno type="RNSR">198318250R</idno>
          <idno type="ROR">https://ror.org/01nzkaw91</idno>
          <orgName>Centre Inria d'Université Côte d'Azur</orgName>
          <desc>
            <address>
              <addrLine>2004 route des Lucioles BP 93 06902 Sophia Antipolis</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.inria.fr/centre/sophia/</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>
      </listOrg>
    </back>
  </text>
</TEI>