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Embryo selection is a critical step in the process of in-vitro fertilisation in which embryologists choose the most viable embryos for transfer into the uterus. In recent years, numerous works have used computer vision to perform embryo selection. However, many of these works have neglected the fact that the embryo is a 3D structure, instead opting to analyse embryo images captured at a single focal plane. In this paper we present a method for the 3D reconstruction of cleavage-stage human embryos. Through a user study, we validate that our reconstructions align with expert assessments. Furthermore, we demonstrate the utility of our approach by generating graph representations that capture biologically relevant features of the embryos. In pilot experiments, we train a graph neural network on these representations and show that it outperforms existing methods in predicting live birth from euploid embryo transfers. Our findings suggest that incorporating 3D reconstruction and graph-based analysis can improve automated embryo selection.
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<span class="author-name" >Karpavičiūtė N. </span> ; <span class="author-name" >Hariharan R. </span> ; <span class="author-name" >Jacques C. </span> ; <span class="author-name" >Chambost J. </span> ; <span class="author-name" >Malmsten J. </span> ; <span class="author-name" >Zaninovic N. </span> ; <span class="author-name" >Wouters K. </span> ; <span class="author-name" >Fréour T. </span> ; <span class="author-name" >Hickman C. </span> ; <span class="author-name" >Vasconcelos F. </span> </div> </div> <div class="title"><a href="/gui2/?mode=browse¶ms=publication;35518692" target="_blank">Embryo Graphs: Predicting Human Embryo Viability from 3D Morphology</a></div> <div> <span class="journal-title">LECTURE NOTES IN ARTIFICIAL INTELLIGENCE</span> <span class="journal-issn">(<a target="_blank" href="https://portal.issn.org/resource/ISSN/0302-9743">0302-9743</a> <a target="_blank" href="https://portal.issn.org/resource/ISSN/1611-3349">1611-3349</a>)</span>: <span class="journal-volume">15004</span> <span class="page"> pp 80-90 </span> <span class="year">(2024)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:black" title="10.1007/978-3-031-72083-3_8" target="_blank" href="https://doi.org/10.1007/978-3-031-72083-3_8"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="001342228800008" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/001342228800008"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="85207662602" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85207662602"> Scopus </a> </span> </span> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;35518692&sort=publishedYear,desc&sort=title"> Idézett közlemények száma: 1 </a> </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 35518692</span> | <span class="status-data status-VALIDATED"> Egyeztetett </span> Idéző | <span class="type-subtype">Folyóiratcikk ( Konferenciaközlemény ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">Scopus</span> </div> <div class="lastModified">Utolsó módosítás: 2026.06.01. 12:03 Csajbók Edit (SE_KK_Admin5_CSE, admin) </div> </div></div>
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<div class="JournalArticle Publication short-list"> <div class="authors"> <span class="author-name" > Purohit, M.V. </span> <span class="author-type"> </span> </div ><div class="title"><a href="/gui2/?mode=browse¶ms=publication;33857731" mtid="33857731" target="_blank">Discovery of Small Signals in Big Backgrounds</a></div> <div class="pub-info"> <span class="journal-title">LECTURE NOTES IN ARTIFICIAL INTELLIGENCE</span> <span class="journal-volume">13830 LNCS</span> <span class="page"> pp. 31-37. , 7 p. </span> <span class="year">(2023)</span> </div> <div class="pub-end"><div class="identifier-list"> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1007/978-3-031-28350-5_3" target="_blank" href="https://doi.org/10.1007/978-3-031-28350-5_3"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="001004046900003" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/001004046900003"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85151058953" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85151058953"> Scopus </a> </span> </span> </div> <div class="short-pub-prop-list"> <span class="short-pub-mtid"> Közlemény:33857731 </span> <span class="status-holder"><span class="status-data status-VALIDATED"> Egyeztetett </span></span> <span class="pub-core"> Idéző </span> <span class="pub-type">Folyóiratcikk (Konferenciaközlemény ) </span> <!-- && !record.category.scientific --> <span class="pub-category">Tudományos</span> </div> </div> </div><div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" >Purohit M.V. </span> </div> </div> <div class="title"><a href="/gui2/?mode=browse¶ms=publication;33857731" target="_blank">Discovery of Small Signals in Big Backgrounds</a></div> <div> <span class="journal-title">LECTURE NOTES IN ARTIFICIAL INTELLIGENCE</span> <span class="journal-issn">(<a target="_blank" href="https://portal.issn.org/resource/ISSN/0302-9743">0302-9743</a> <a target="_blank" href="https://portal.issn.org/resource/ISSN/1611-3349">1611-3349</a>)</span>: <span class="journal-volume">13830 LNCS</span> <span class="page"> pp 31-37 </span> <span class="year">(2023)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1007/978-3-031-28350-5_3" target="_blank" href="https://doi.org/10.1007/978-3-031-28350-5_3"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="001004046900003" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/001004046900003"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85151058953" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85151058953"> Scopus </a> </span> </span> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;33857731&sort=publishedYear,desc&sort=title"> Idézett közlemények száma: 4 </a> </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 33857731</span> | <span class="status-data status-VALIDATED"> Egyeztetett </span> Idéző | <span class="type-subtype">Folyóiratcikk ( Konferenciaközlemény ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">Scopus</span> </div> <div class="lastModified">Utolsó módosítás: 2026.05.18. 12:23 Tomcsik Adrienn (Wigner admin5) </div> </div></div>
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<div class="JournalArticle Publication short-list"> <div class="authors"> <span class="author-name" > Holzer, M. </span> <span class="author-type"> </span> ; <span class="author-name" mtid="10012028"> <a href="/gui2/?type=authors&mode=browse&sel=10012028" target="_blank">Nagy, B.</a> </span> <span class="author-type"> </span> </div ><div class="title"><a href="/gui2/?mode=browse¶ms=publication;34406580" mtid="34406580" target="_blank">Preface</a></div> <div class="pub-info"> <span class="journal-title">LECTURE NOTES IN ARTIFICIAL INTELLIGENCE</span> <span class="journal-volume">14151 LNCS</span> <span class="page"> pp. v-vi. </span> <span class="year">(2023)</span> </div> <div class="pub-end"><div class="identifier-list"> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85172114320" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85172114320"> Scopus </a> </span> </span> </div> <div class="short-pub-prop-list"> <span class="short-pub-mtid"> Közlemény:34406580 </span> <span class="status-holder"><span class="status-data status-APPROVED"> Nyilvános </span></span> <span class="pub-core">Forrás </span> <span class="pub-type">Folyóiratcikk (Hozzászólás, helyreigazítás ) </span> <!-- && !record.category.scientific --> <span class="pub-category">Tudományos</span> </div> </div> </div><div class="JournalArticle Publication long-list">
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<div class="lastModified">Utolsó módosítás: 2024.02.17. 18:16 Oszlánczi Krisztina (EKKE admin 4)
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<pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Megjegyzés</u>: Export Date: 22 March 2025; Cited By: 0; Conference name: Implementation and Application of Automata - 27th International Conference, CIAA 2023, Proceedings; Conference date: 19 September 2023 through 22 September 2023; Conference code: 299399</pre>
</div></div>