{"id":"https://openalex.org/W4405488570","doi":"https://doi.org/10.1109/embc53108.2024.10782450","title":"Probabilistic Correspondence Analysis in Pediatric Health by Using Variational Mixture Models","display_name":"Probabilistic Correspondence Analysis in Pediatric Health by Using Variational Mixture Models","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4405488570","doi":"https://doi.org/10.1109/embc53108.2024.10782450","pmid":"https://pubmed.ncbi.nlm.nih.gov/40040150"},"language":"en","primary_location":{"id":"doi:10.1109/embc53108.2024.10782450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc53108.2024.10782450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110621254","display_name":"Hern\u00e1n F. Garc\u00eda","orcid":null},"institutions":[{"id":"https://openalex.org/I35961687","display_name":"Universidad de Antioquia","ror":"https://ror.org/03bp5hc83","country_code":"CO","type":"education","lineage":["https://openalex.org/I35961687"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Hernan F. Garcia","raw_affiliation_strings":["University of Antioquia,Sistemic Research Group,Medellín,COL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Antioquia,Sistemic Research Group,Medellín,COL","institution_ids":["https://openalex.org/I35961687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034969635","display_name":"Gloria Liliana Porras-Hurtado","orcid":"https://orcid.org/0000-0003-1193-7184"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gloria Liliana Porras-Hurtado","raw_affiliation_strings":["Caja de Compensación Familiar de Risaralda,Salud Comfamiliar,Pereira,COL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Caja de Compensación Familiar de Risaralda,Salud Comfamiliar,Pereira,COL","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084061494","display_name":"Augusto Enrique Salazar-Jimenez","orcid":"https://orcid.org/0000-0003-1694-7306"},"institutions":[{"id":"https://openalex.org/I35961687","display_name":"Universidad de Antioquia","ror":"https://ror.org/03bp5hc83","country_code":"CO","type":"education","lineage":["https://openalex.org/I35961687"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Augusto E. Salazar-Jimenez","raw_affiliation_strings":["University of Antioquia,Sistemic Research Group,Medellín,COL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Antioquia,Sistemic Research Group,Medellín,COL","institution_ids":["https://openalex.org/I35961687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051166145","display_name":"Eliana Vasquez-Osorio","orcid":null},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]},{"id":"https://openalex.org/I4210129527","display_name":"Cancer Research UK Manchester Institute","ror":"https://ror.org/037405c78","country_code":"GB","type":"facility","lineage":["https://openalex.org/I2801316944","https://openalex.org/I28407311","https://openalex.org/I4210129527"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Eliana Vasquez-Osorio","raw_affiliation_strings":["University of Manchester,Cancer Research Centre,Manchester,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Manchester,Cancer Research Centre,Manchester,UK","institution_ids":["https://openalex.org/I28407311","https://openalex.org/I4210129527"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007248971","display_name":"Mauricio A. \u00c1lvarez","orcid":"https://orcid.org/0000-0002-8980-4472"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mauricio A. \u00c1lvarez","raw_affiliation_strings":["University of Manchester,Centre for AI Fundamentals,Manchester,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Manchester,Centre for AI Fundamentals,Manchester,UK","institution_ids":["https://openalex.org/I28407311"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24506605,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2024","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9894999861717224,"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"}},"topics":[{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9894999861717224,"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"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9685999751091003,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.940500020980835,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.7182602286338806},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5711257457733154},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.423915833234787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3267640471458435}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7182602286338806},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5711257457733154},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.423915833234787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3267640471458435}],"mesh":[{"descriptor_ui":"D000067576","descriptor_name":"Child Health","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":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":true},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002675","descriptor_name":"Child, Preschool","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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010372","descriptor_name":"Pediatrics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010372","descriptor_name":"Pediatrics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/embc53108.2024.10782450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc53108.2024.10782450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:40040150","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40040150","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":"Journal Article"},{"id":"pmh:oai:pure.atira.dk:publications/0adb165d-bdbd-4e52-98b4-6ec0bb887579","is_oa":false,"landing_page_url":"https://research.manchester.ac.uk/en/publications/0adb165d-bdbd-4e52-98b4-6ec0bb887579","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1985851765","https://openalex.org/W1997208188","https://openalex.org/W2007206727","https://openalex.org/W2068897382","https://openalex.org/W2075947900","https://openalex.org/W2169779569","https://openalex.org/W2278171434","https://openalex.org/W2558049802","https://openalex.org/W2737091388","https://openalex.org/W2963653041","https://openalex.org/W3005136825","https://openalex.org/W4241422529","https://openalex.org/W4243293508","https://openalex.org/W4387764139","https://openalex.org/W6677403968","https://openalex.org/W6684785420","https://openalex.org/W6695061060"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Analyzing":[0],"brain":[1,17,62,81,124,147],"structures":[2,63,125],"in":[3,12,46,122,126,143],"medical":[4],"imaging":[5],"poses":[6],"challenging":[7],"problems":[8],"due":[9],"to":[10,22,27,80,109],"heterogeneity":[11],"pediatric":[13],"diseases.":[14],"Besides,":[15],"measuring":[16],"changes":[18,142],"quantitatively":[19],"is":[20,137],"crucial":[21],"evaluating":[23],"clinical":[24],"outcomes":[25],"related":[26,79],"anatomical":[28,141],"factors.":[29],"From":[30],"an":[31,54],"artificial":[32],"intelligence":[33],"perspective,":[34],"establishing":[35],"correspondences":[36],"between":[37],"nonrigid":[38,123],"shapes":[39],"often":[40],"requires":[41],"computing":[42],"similarity-based":[43],"measures":[44],"that,":[45],"most":[47],"cases,":[48],"are":[49],"unavailable.":[50],"This":[51],"paper":[52],"proposes":[53],"unsupervised":[55,67,111],"probabilistic":[56],"framework":[57],"for":[58,139],"shape":[59],"matching":[60],"on":[61],"by":[64],"using":[65,93],"variational":[66,95],"learning.":[68],"Our":[69],"approach":[70],"comprehensively":[71],"captures":[72,120],"the":[73,98,106,118,134],"underlying":[74],"representation":[75],"of":[76,90,97],"surface":[77],"descriptors":[78,92],"structures.":[82],"Then,":[83],"we":[84],"learned":[85],"group-wise":[86],"latent":[87,101],"space":[88],"representations":[89],"these":[91],"a":[94],"derivation":[96],"Gaussian":[99],"process":[100],"variable":[102],"model,":[103],"which":[104],"matches":[105],"resulting":[107],"features":[108],"establish":[110],"correspondences.":[112],"The":[113],"experimental":[114],"results":[115,131],"show":[116],"how":[117],"model":[119,136],"non-linearities":[121],"real-world":[127],"neurodevelopmental":[128],"data.":[129],"These":[130],"demonstrated":[132],"that":[133],"proposed":[135],"suitable":[138],"monitoring":[140],"healthy":[144],"and":[145],"abnormal":[146],"shapes.":[148]},"counts_by_year":[],"updated_date":"2026-08-27T14:10:00.468798","created_date":"2025-10-10T00:00:00"}