{"id":"https://openalex.org/W7161827738","doi":"https://doi.org/10.1109/isbi61048.2026.11515512","title":"A Unified Deep Learning Pipeline for Placental Morphometric and Phenotypic Mapping in Gestational Diabetes","display_name":"A Unified Deep Learning Pipeline for Placental Morphometric and Phenotypic Mapping in Gestational Diabetes","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7161827738","doi":"https://doi.org/10.1109/isbi61048.2026.11515512"},"language":null,"primary_location":{"id":"doi:10.1109/isbi61048.2026.11515512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515512","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5136593089","display_name":"Yi Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Yi Fang","raw_affiliation_strings":["School of Computing, University of Leeds,Leeds,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, University of Leeds,Leeds,UK","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136587875","display_name":"Lara Morley","orcid":null},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lara Morley","raw_affiliation_strings":["School of Medicine, University of Leeds,Leeds,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Medicine, University of Leeds,Leeds,UK","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136570313","display_name":"Abigail Byford","orcid":null},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Abigail Byford","raw_affiliation_strings":["School of Medicine, University of Leeds,Leeds,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Medicine, University of Leeds,Leeds,UK","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136514060","display_name":"Karen Forbes","orcid":null},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Karen Forbes","raw_affiliation_strings":["School of Medicine, University of Leeds,Leeds,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Medicine, University of Leeds,Leeds,UK","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136552039","display_name":"Nigel Simpson","orcid":null},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nigel Simpson","raw_affiliation_strings":["School of Medicine, University of Leeds,Leeds,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Medicine, University of Leeds,Leeds,UK","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059420861","display_name":"Arash Rabbani","orcid":"https://orcid.org/0000-0001-5181-7318"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Arash Rabbani","raw_affiliation_strings":["School of Computing, University of Leeds,Leeds,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, University of Leeds,Leeds,UK","institution_ids":["https://openalex.org/I130828816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5136593089"],"corresponding_institution_ids":["https://openalex.org/I130828816"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.93753425,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10290","display_name":"Pregnancy and preeclampsia studies","score":0.4584999978542328,"subfield":{"id":"https://openalex.org/subfields/2729","display_name":"Obstetrics and Gynecology"},"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/T10290","display_name":"Pregnancy and preeclampsia studies","score":0.4584999978542328,"subfield":{"id":"https://openalex.org/subfields/2729","display_name":"Obstetrics and Gynecology"},"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/T10673","display_name":"Gestational Diabetes Research and Management","score":0.3285999894142151,"subfield":{"id":"https://openalex.org/subfields/2729","display_name":"Obstetrics and Gynecology"},"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/T11184","display_name":"Neonatal and fetal brain pathology","score":0.02370000071823597,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6460999846458435},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6403999924659729},{"id":"https://openalex.org/keywords/gestational-diabetes","display_name":"Gestational diabetes","score":0.49239999055862427},{"id":"https://openalex.org/keywords/phenotype","display_name":"Phenotype","score":0.43149998784065247},{"id":"https://openalex.org/keywords/placenta","display_name":"Placenta","score":0.38280001282691956},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3271999955177307}],"concepts":[{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6460999846458435},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6403999924659729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.54339998960495},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.49709999561309814},{"id":"https://openalex.org/C2779434492","wikidata":"https://www.wikidata.org/wiki/Q126691","display_name":"Gestational diabetes","level":4,"score":0.49239999055862427},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.43149998784065247},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42419999837875366},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.397599995136261},{"id":"https://openalex.org/C2776953305","wikidata":"https://www.wikidata.org/wiki/Q1212935","display_name":"Placenta","level":4,"score":0.38280001282691956},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.37929999828338623},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3271999955177307},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.313400000333786},{"id":"https://openalex.org/C2909919656","wikidata":"https://www.wikidata.org/wiki/Q7200296","display_name":"Placenta Diseases","level":5,"score":0.2939999997615814},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.2906000018119812},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2874000072479248},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.27549999952316284},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.27219998836517334},{"id":"https://openalex.org/C130895681","wikidata":"https://www.wikidata.org/wiki/Q5282122","display_name":"Disease gene identification","level":5,"score":0.2500999867916107},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.25}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi61048.2026.11515512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515512","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.5272329449653625,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1970185637","https://openalex.org/W2015159529","https://openalex.org/W2097117768","https://openalex.org/W2152460775","https://openalex.org/W2194775991","https://openalex.org/W2294318823","https://openalex.org/W2504150216","https://openalex.org/W2581082771","https://openalex.org/W2618530766","https://openalex.org/W2896790556","https://openalex.org/W2974825848","https://openalex.org/W2997591727","https://openalex.org/W4393270996"],"related_works":[],"abstract_inverted_index":{"This":[0,58],"study":[1],"investigated":[2],"morphometric":[3,101],"differences":[4,68],"in":[5],"placentas":[6,26,72,80,88],"from":[7,27],"gestational":[8],"diabetes":[9],"mellitus":[10],"(GDM)":[11],"pregnancies":[12,39],"by":[13],"integrating":[14],"deep":[15,114],"learning":[16],"with":[17],"quantitative":[18],"statistical":[19],"analysis.":[20],"Whole":[21],"slide":[22],"images":[23],"(WSIs)":[24],"of":[25,100],"four":[28],"pathological":[29],"groups:":[30],"small-for-gestational-age":[31],"(SGA),":[32],"appropriate-for-gestational-age":[33],"(AGA),":[34],"large-for-gestational-age":[35],"(LGA),":[36],"and":[37,48,64,78,86,111],"non-GDM":[38,87],"were":[40],"analyzed":[41],"to":[42],"evaluate":[43],"cell":[44,62],"type":[45],"distributions,":[46],"morphology,":[47],"connectivity.":[49],"A":[50],"state-of-the-art":[51],"benchmark":[52],"model":[53],"was":[54],"used":[55],"for":[56,108],"comparison.":[57],"pipeline":[59],"produced":[60],"plausible":[61],"maps":[63],"revealed":[65],"significant":[66],"cell-type-specific":[67],"across":[69],"groups.":[70],"SGA":[71],"showed":[73,89],"reduced":[74],"vascular":[75],"myocyte":[76],"connectivity,":[77],"AGA":[79],"maintained":[81],"robust":[82],"cellular":[83,116],"interactions.":[84],"LGA":[85],"intermediate":[90],"or":[91],"compensatory":[92],"remodeling":[93],"patterns.":[94],"These":[95],"results":[96],"highlight":[97],"the":[98],"potential":[99],"analysis":[102],"as":[103],"a":[104],"biomarker":[105],"discovery":[106],"tool":[107],"placental":[109],"dysfunction":[110],"suggest":[112],"that":[113],"learning-based":[115],"mapping":[117],"can":[118],"provide":[119],"clinically":[120],"relevant":[121],"insights":[122],"into":[123],"pregnancy":[124],"outcomes.":[125]},"counts_by_year":[],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2026-05-21T00:00:00"}