{"id":"https://openalex.org/W4389219863","doi":"https://doi.org/10.1016/j.media.2023.103037","title":"Multi-source multi-modal markers for Bayesian Networks: Application to the extremely preterm born brain","display_name":"Multi-source multi-modal markers for Bayesian Networks: Application to the extremely preterm born brain","publication_year":2023,"publication_date":"2023-12-01","ids":{"openalex":"https://openalex.org/W4389219863","doi":"https://doi.org/10.1016/j.media.2023.103037","pmid":"https://pubmed.ncbi.nlm.nih.gov/38056163"},"language":"en","primary_location":{"id":"doi:10.1016/j.media.2023.103037","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.media.2023.103037","pdf_url":null,"source":{"id":"https://openalex.org/S116571295","display_name":"Medical Image Analysis","issn_l":"1361-8415","issn":["1361-8415","1361-8423","1361-8431"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Image Analysis","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.media.2023.103037","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030158768","display_name":"Hassna Irzan","orcid":"https://orcid.org/0000-0002-2524-9529"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Hassna Irzan","raw_affiliation_strings":["School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE17EU, UK; Department of Medical Physics and Biomedical Engineering, University College London, London, WC1E6BT, UK. Electronic address: hassna.irzan@kcl.ac.uk","Department of Medical Physics and Biomedical Engineering, University College London, London, WC1E6BT, UK","School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE17EU, UK"],"raw_orcid":"https://orcid.org/0000-0002-2524-9529","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE17EU, UK; Department of Medical Physics and Biomedical Engineering, University College London, London, WC1E6BT, UK. Electronic address: hassna.irzan@kcl.ac.uk","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"Department of Medical Physics and Biomedical Engineering, University College London, London, WC1E6BT, UK","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE17EU, UK","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041728550","display_name":"Michael H\u00fctel","orcid":"https://orcid.org/0000-0001-8322-6432"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Michael H\u00fctel","raw_affiliation_strings":["School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE17EU, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE17EU, UK","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042800835","display_name":"Helen O\u2019Reilly","orcid":"https://orcid.org/0000-0002-0216-5234"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB","IE"],"is_corresponding":false,"raw_author_name":"Helen O\u2019Reilly","raw_affiliation_strings":["Department of Psychology, University College Dublin, Dublin, D04C1P1, Ireland","Institute for Women\u2019s Health, University College London, London, WC1E6HU, UK","Institute for Women's Health, University College London, London, WC1E6HU, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychology, University College Dublin, Dublin, D04C1P1, Ireland","institution_ids":["https://openalex.org/I100930933"]},{"raw_affiliation_string":"Institute for Women\u2019s Health, University College London, London, WC1E6HU, UK","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"Institute for Women's Health, University College London, London, WC1E6HU, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082106258","display_name":"S\u00e9bastien Ourselin","orcid":"https://orcid.org/0000-0002-5694-5340"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sebastien Ourselin","raw_affiliation_strings":["School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE17EU, UK"],"raw_orcid":"https://orcid.org/0000-0002-5694-5340","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE17EU, UK","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001505718","display_name":"Neil Marlow","orcid":"https://orcid.org/0000-0001-5890-2953"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Neil Marlow","raw_affiliation_strings":["Institute for Women's Health, University College London, London, WC1E6HU, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Women's Health, University College London, London, WC1E6HU, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035099926","display_name":"Andrew Melbourne","orcid":"https://orcid.org/0000-0001-7667-3947"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andrew Melbourne","raw_affiliation_strings":["School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE17EU, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE17EU, UK","institution_ids":["https://openalex.org/I183935753"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5030158768"],"corresponding_institution_ids":["https://openalex.org/I183935753","https://openalex.org/I45129253"],"apc_list":{"value":3970,"currency":"USD","value_usd":3970},"apc_paid":{"value":3970,"currency":"USD","value_usd":3970},"fwci":1.6946,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.86774593,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"92","issue":null,"first_page":"103037","last_page":"103037"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11184","display_name":"Neonatal and fetal brain pathology","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11184","display_name":"Neonatal and fetal brain pathology","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bootstrapping","display_name":"Bootstrapping (finance)","score":0.6297403573989868},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6207123398780823},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6088430285453796},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5776596069335938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5446478724479675},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.532020092010498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4750121533870697},{"id":"https://openalex.org/keywords/confounding","display_name":"Confounding","score":0.4644218981266022},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4453132748603821},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4235891103744507},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2113659381866455},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17673459649085999},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.1492709517478943}],"concepts":[{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.6297403573989868},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6207123398780823},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6088430285453796},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5776596069335938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5446478724479675},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.532020092010498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4750121533870697},{"id":"https://openalex.org/C77350462","wikidata":"https://www.wikidata.org/wiki/Q1125472","display_name":"Confounding","level":2,"score":0.4644218981266022},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4453132748603821},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4235891103744507},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2113659381866455},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17673459649085999},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.1492709517478943},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007231","descriptor_name":"Infant, Newborn","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007231","descriptor_name":"Infant, Newborn","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007231","descriptor_name":"Infant, Newborn","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007231","descriptor_name":"Infant, Newborn","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007231","descriptor_name":"Infant, Newborn","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007231","descriptor_name":"Infant, Newborn","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007231","descriptor_name":"Infant, Newborn","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007231","descriptor_name":"Infant, Newborn","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D047928","descriptor_name":"Premature Birth","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D047928","descriptor_name":"Premature Birth","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D047928","descriptor_name":"Premature Birth","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D047928","descriptor_name":"Premature Birth","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D047928","descriptor_name":"Premature Birth","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D047928","descriptor_name":"Premature Birth","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D047928","descriptor_name":"Premature Birth","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D047928","descriptor_name":"Premature Birth","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062071","descriptor_name":"Infant, Extremely Premature","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062071","descriptor_name":"Infant, Extremely Premature","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062071","descriptor_name":"Infant, Extremely Premature","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062071","descriptor_name":"Infant, Extremely Premature","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062071","descriptor_name":"Infant, Extremely Premature","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062071","descriptor_name":"Infant, Extremely Premature","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062071","descriptor_name":"Infant, Extremely Premature","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062071","descriptor_name":"Infant, Extremely Premature","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.1016/j.media.2023.103037","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.media.2023.103037","pdf_url":null,"source":{"id":"https://openalex.org/S116571295","display_name":"Medical Image Analysis","issn_l":"1361-8415","issn":["1361-8415","1361-8423","1361-8431"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Image Analysis","raw_type":"journal-article"},{"id":"pmid:38056163","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38056163","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical image analysis","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:7616207","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7616207","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC7616207/pdf/EMS197103.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Med Image Anal","raw_type":"Text"},{"id":"pmh:oai:kclpure.kcl.ac.uk:openaire/356c2e44-1fe5-41cc-a27c-757d34a03598","is_oa":true,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/356c2e44-1fe5-41cc-a27c-757d34a03598","pdf_url":null,"source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Irzan, H, H\u00fctel, M, O'Reilly, H, Ourselin, S, Marlow, N & Melbourne, A 2024, 'Multi-source multi-modal markers for Bayesian Networks : Application to the extremely preterm born brain', Medical Image Analysis, vol. 92, 103037. https://doi.org/10.1016/j.media.2023.103037","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:kclpure.kcl.ac.uk:publications/356c2e44-1fe5-41cc-a27c-757d34a03598","is_oa":true,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85178663446&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Irzan, H, H\u00fctel, M, O'Reilly, H, Ourselin, S, Marlow, N & Melbourne, A 2024, 'Multi-source multi-modal markers for Bayesian Networks : Application to the extremely preterm born brain', Medical Image Analysis, vol. 92, 103037. https://doi.org/10.1016/j.media.2023.103037","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1016/j.media.2023.103037","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.media.2023.103037","pdf_url":null,"source":{"id":"https://openalex.org/S116571295","display_name":"Medical Image Analysis","issn_l":"1361-8415","issn":["1361-8415","1361-8423","1361-8431"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Image Analysis","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6000000238418579,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1054121244","display_name":null,"funder_award_id":"203148/Z/16/Z","funder_id":"https://openalex.org/F4320334626","funder_display_name":"Medical Research Council"},{"id":"https://openalex.org/G1322964166","display_name":null,"funder_award_id":"203148/Z/16/Z","funder_id":"https://openalex.org/F4320311904","funder_display_name":"Wellcome Trust"},{"id":"https://openalex.org/G1622632528","display_name":"EPSRC Centre for Doctoral Training in Medical Imaging","funder_award_id":"EP/L016478/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G2387129260","display_name":null,"funder_award_id":"MR/N024869/1","funder_id":"https://openalex.org/F4320334626","funder_display_name":"Medical Research Council"},{"id":"https://openalex.org/G2408009129","display_name":null,"funder_award_id":"NS/A000027/1","funder_id":"https://openalex.org/F4320319990","funder_display_name":"National Institute for Health and Care Research"},{"id":"https://openalex.org/G4215281196","display_name":null,"funder_award_id":"WT203148/Z/16/Z","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G4220999590","display_name":null,"funder_award_id":"EP/L016478/1","funder_id":"https://openalex.org/F4320337314","funder_display_name":"Centre For Medical Engineering, King\u2019s College London"},{"id":"https://openalex.org/G4563744000","display_name":null,"funder_award_id":"101957/Z/13/Z","funder_id":"https://openalex.org/F4320311904","funder_display_name":"Wellcome Trust"},{"id":"https://openalex.org/G5296857752","display_name":null,"funder_award_id":"203148/Z/16/Z","funder_id":"https://openalex.org/F4320337314","funder_display_name":"Centre For Medical Engineering, King\u2019s College London"},{"id":"https://openalex.org/G5561172208","display_name":null,"funder_award_id":"WT203148/Z/16/Z","funder_id":"https://openalex.org/F4320337314","funder_display_name":"Centre For Medical Engineering, King\u2019s College London"},{"id":"https://openalex.org/G5907639349","display_name":null,"funder_award_id":"203148","funder_id":"https://openalex.org/F4320311904","funder_display_name":"Wellcome Trust"},{"id":"https://openalex.org/G5917232323","display_name":null,"funder_award_id":"WT203148/Z/16/Z","funder_id":"https://openalex.org/F4320311904","funder_display_name":"Wellcome Trust"},{"id":"https://openalex.org/G6217919152","display_name":null,"funder_award_id":"210182/Z/18/Z","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6242399341","display_name":null,"funder_award_id":"210182/Z/18/Z","funder_id":"https://openalex.org/F4320311904","funder_display_name":"Wellcome Trust"},{"id":"https://openalex.org/G696815201","display_name":null,"funder_award_id":"EP/L016478/1","funder_id":"https://openalex.org/F4320320286","funder_display_name":"University College London"},{"id":"https://openalex.org/G7091628156","display_name":"EPICure2@11 - Outcome at 11 years for a national cohort of births between 22 and 26 weeks of gestation in England in 2006","funder_award_id":"MR/N024869/1","funder_id":"https://openalex.org/F4320334626","funder_display_name":"Medical Research Council"},{"id":"https://openalex.org/G7459679515","display_name":null,"funder_award_id":"NS/A000027/1","funder_id":"https://openalex.org/F4320311904","funder_display_name":"Wellcome Trust"},{"id":"https://openalex.org/G7746801374","display_name":null,"funder_award_id":"NS/A000027/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8775246936","display_name":null,"funder_award_id":"203148/Z/16/Z","funder_id":"https://openalex.org/F4320319990","funder_display_name":"National Institute for Health and Care Research"},{"id":"https://openalex.org/G8787748348","display_name":null,"funder_award_id":"203148/Z/16/Z","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320311904","display_name":"Wellcome Trust","ror":"https://ror.org/029chgv08"},{"id":"https://openalex.org/F4320319990","display_name":"National Institute for Health and Care Research","ror":"https://ror.org/0187kwz08"},{"id":"https://openalex.org/F4320320286","display_name":"University College London","ror":"https://ror.org/02jx3x895"},{"id":"https://openalex.org/F4320334626","display_name":"Medical Research Council","ror":"https://ror.org/03x94j517"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320337314","display_name":"Centre For Medical Engineering, King\u2019s College London","ror":"https://ror.org/04s9kfd63"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1511986666","https://openalex.org/W1775388063","https://openalex.org/W1970902974","https://openalex.org/W1985558471","https://openalex.org/W1991699532","https://openalex.org/W2004026511","https://openalex.org/W2024568256","https://openalex.org/W2032254014","https://openalex.org/W2054422278","https://openalex.org/W2057637996","https://openalex.org/W2079087023","https://openalex.org/W2090813996","https://openalex.org/W2093120878","https://openalex.org/W2103780005","https://openalex.org/W2112927272","https://openalex.org/W2118020555","https://openalex.org/W2119290186","https://openalex.org/W2143022451","https://openalex.org/W2148103594","https://openalex.org/W2159080219","https://openalex.org/W2165190832","https://openalex.org/W2171620180","https://openalex.org/W2275580678","https://openalex.org/W2341661195","https://openalex.org/W2363249082","https://openalex.org/W2396961413","https://openalex.org/W2407670121","https://openalex.org/W2515437281","https://openalex.org/W2530713571","https://openalex.org/W2580688057","https://openalex.org/W2625270121","https://openalex.org/W2738780662","https://openalex.org/W2790008622","https://openalex.org/W2806322961","https://openalex.org/W2885562916","https://openalex.org/W2887446886","https://openalex.org/W2962309242","https://openalex.org/W2994371469","https://openalex.org/W3038027488","https://openalex.org/W3105164764","https://openalex.org/W3159369921","https://openalex.org/W3195973239","https://openalex.org/W3205047529","https://openalex.org/W4230201191","https://openalex.org/W4244955044","https://openalex.org/W4251699351","https://openalex.org/W6635046684","https://openalex.org/W6766051749","https://openalex.org/W6783303133","https://openalex.org/W6783602162","https://openalex.org/W6784492474","https://openalex.org/W6785005049","https://openalex.org/W6800327728","https://openalex.org/W6802332158"],"related_works":["https://openalex.org/W1534274833","https://openalex.org/W3117246195","https://openalex.org/W2081850291","https://openalex.org/W156620619","https://openalex.org/W2914363205","https://openalex.org/W1598221548","https://openalex.org/W1963695443","https://openalex.org/W2997844990","https://openalex.org/W2616249226","https://openalex.org/W2117545158"],"abstract_inverted_index":{"The":[0,161],"preterm":[1,76,224],"phenotype":[2],"results":[3,228],"from":[4],"the":[5,11,104,107,155,180,193],"interplay":[6],"of":[7,131,136,139,143,158,184,195,203],"multiple":[8],"disorders":[9],"affecting":[10],"brain":[12],"and":[13,61,80,86,94,99,141,150,182,207,226],"cognitive":[14,87,171],"outcomes.":[15],"Accurately":[16],"characterising":[17,219],"these":[18,32],"interactions":[19],"can":[20],"reveal":[21],"prematurity":[22],"markers.":[23],"Bayesian":[24,51],"Networks":[25],"(BNs)":[26],"are":[27],"powerful":[28],"tools":[29],"to":[30,64,71,120,134],"disentangle":[31],"relationships,":[33,200],"as":[34,223],"they":[35],"inherently":[36],"measure":[37],"associations":[38],"between":[39],"variables":[40,202,210],"while":[41,145],"mitigating":[42],"confounding":[43],"factors.":[44],"We":[45,68,102],"present":[46],"Modified":[47],"PC-HC":[48],"(MPC-HC),":[49],"a":[50,185],"Network":[52],"(BN)":[53],"structural":[54],"learning":[55,189],"algorithm.":[56],"MPC-HC":[57,70,125],"employs":[58],"statistical":[59],"testing":[60],"search-and-score":[62],"techniques":[63],"explore":[65],"equivalent":[66],"classes.":[67],"employ":[69],"estimate":[72],"BNs":[73,196],"for":[74],"extremely":[75],"(EP)":[77],"young":[78],"adults":[79],"full-term":[81],"controls.":[82],"Using":[83],"MRI":[84,166],"measurements":[85,167],"performance":[88],"markers,":[89],"we":[90,215],"investigate":[91],"predictive":[92],"relationships":[93],"mutual":[95],"influences":[96],"through":[97],"predictions":[98],"sensitivity":[100,162],"analysis.":[101],"assess":[103],"confidence":[105],"in":[106,153,197],"estimated":[108],"BN":[109,123,187],"structures":[110],"using":[111],"bootstrapping.":[112],"Furthermore,":[113],"MPC-HC's":[114],"validation":[115,183],"involves":[116],"assessing":[117],"its":[118],"ability":[119],"recover":[121],"benchmark":[122,159],"structures.":[124],"achieves":[126],"an":[127],"average":[128],"prediction":[129],"accuracy":[130],"72.5%":[132],"compared":[133],"62.5%":[135],"PC,":[137,148],"64.5%":[138],"MMHC,":[140,149],"71.5%":[142],"HC,":[144],"it":[146],"outperforms":[147],"HC":[151],"algorithms":[152],"reconstructing":[154],"true":[156],"structure":[157,188],"BNs.":[160],"analysis":[163],"shows":[164],"that":[165],"mainly":[168],"affect":[169],"EP":[170],"scores.":[172],"Our":[173],"work":[174],"has":[175],"two":[176],"key":[177],"contributions:":[178],"first,":[179],"introduction":[181],"new":[186],"method.":[190],"Second,":[191],"demonstrating":[192],"potential":[194],"modelling":[198,205],"variable":[199],"predicting":[201],"interest,":[204],"uncertainty,":[206],"evaluating":[208],"how":[209],"impact":[211],"each":[212],"other.":[213],"Finally,":[214],"demonstrate":[216],"this":[217],"by":[218],"complex":[220],"phenotypes,":[221],"such":[222],"birth,":[225],"discovering":[227],"consistent":[229],"with":[230],"literature":[231],"findings.":[232]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
