{"id":"https://openalex.org/W2898909240","doi":"https://doi.org/10.1109/embc.2018.8512282","title":"Fetal Skull Reconstruction via Deep Convolutional Autoencoders","display_name":"Fetal Skull Reconstruction via Deep Convolutional Autoencoders","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2898909240","doi":"https://doi.org/10.1109/embc.2018.8512282","mag":"2898909240","pmid":"https://pubmed.ncbi.nlm.nih.gov/30440533"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2018.8512282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2018.8512282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","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/A5051073355","display_name":"Juan J. Cerrolaza","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Juan J. Cerrolaza","raw_affiliation_strings":["Imperial College London, London, London, GB"],"affiliations":[{"raw_affiliation_string":"Imperial College London, London, London, GB","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101730722","display_name":"Yuanwei Li","orcid":"https://orcid.org/0000-0001-8850-4411"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yuanwei Li","raw_affiliation_strings":["Imperial College London, London, London, GB"],"affiliations":[{"raw_affiliation_string":"Imperial College London, London, London, GB","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016254297","display_name":"Carlo Biffi","orcid":"https://orcid.org/0000-0002-4913-7441"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Carlo Biffi","raw_affiliation_strings":["Imperial College London, London, London, GB"],"affiliations":[{"raw_affiliation_string":"Imperial College London, London, London, GB","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030694361","display_name":"Alberto G\u00f3mez","orcid":"https://orcid.org/0000-0002-7897-7589"},"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":"Alberto Gomez","raw_affiliation_strings":["King's College London, London, London, GB"],"affiliations":[{"raw_affiliation_string":"King's College London, London, London, GB","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112369795","display_name":"Jaqueline Matthew","orcid":null},"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":"Jaqueline Matthew","raw_affiliation_strings":["King's College London, London, London, GB"],"affiliations":[{"raw_affiliation_string":"King's College London, London, London, GB","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101719622","display_name":"Matthew Sinclair","orcid":"https://orcid.org/0000-0003-0480-4834"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Matthew Sinclair","raw_affiliation_strings":["Imperial College London, London, London, GB"],"affiliations":[{"raw_affiliation_string":"Imperial College London, London, London, GB","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003861881","display_name":"Chandni Gupta","orcid":null},"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":"Chandni Gupta","raw_affiliation_strings":["King's College London, London, London, GB"],"affiliations":[{"raw_affiliation_string":"King's College London, London, London, GB","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101719831","display_name":"Caroline L. Knight","orcid":"https://orcid.org/0000-0002-0970-9687"},"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":"Caroline L. Knight","raw_affiliation_strings":["King's College London, London, London, GB"],"affiliations":[{"raw_affiliation_string":"King's College London, London, London, GB","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006461848","display_name":"Daniel Rueckert","orcid":"https://orcid.org/0000-0002-5683-5889"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Daniel Rueckert","raw_affiliation_strings":["Imperial College London, London, London, GB"],"affiliations":[{"raw_affiliation_string":"Imperial College London, London, London, GB","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5051073355"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":0.7287,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78259297,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2018","issue":null,"first_page":"887","last_page":"890"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.9984999895095825,"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/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.9984999895095825,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9825999736785889,"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/T11374","display_name":"Cleft Lip and Palate Research","score":0.9564999938011169,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8179816007614136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6831640005111694},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6722314357757568},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6158046722412109},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.566979706287384},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.5069596767425537},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4977686405181885},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48448750376701355},{"id":"https://openalex.org/keywords/skull","display_name":"Skull","score":0.4581543207168579},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.44998595118522644},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41944730281829834},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3973371982574463},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12704309821128845},{"id":"https://openalex.org/keywords/surgery","display_name":"Surgery","score":0.0980035662651062},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08659029006958008}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8179816007614136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6831640005111694},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6722314357757568},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6158046722412109},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.566979706287384},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.5069596767425537},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4977686405181885},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48448750376701355},{"id":"https://openalex.org/C2779300802","wikidata":"https://www.wikidata.org/wiki/Q13147","display_name":"Skull","level":2,"score":0.4581543207168579},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.44998595118522644},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41944730281829834},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3973371982574463},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12704309821128845},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.0980035662651062},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08659029006958008},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[{"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":"D005333","descriptor_name":"Fetus","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005333","descriptor_name":"Fetus","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005333","descriptor_name":"Fetus","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012886","descriptor_name":"Skull","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012886","descriptor_name":"Skull","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012886","descriptor_name":"Skull","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/embc.2018.8512282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2018.8512282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:30440533","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30440533","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":null},{"id":"pmh:oai:kclpure.kcl.ac.uk:publications/5a034286-9cc1-437b-af8a-bc23f5fdd85a","is_oa":false,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/5a034286-9cc1-437b-af8a-bc23f5fdd85a","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Cerrolaza, J J, Li, Y, Biffi, C, Gomez, A, Matthew, J, Sinclair, M, Gupta, C, Knight, C L & Rueckert, D 2018, Fetal Skull Reconstruction via Deep Convolutional Autoencoders. in 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. vol. 2018-July, 8512282, Institute of Electrical and Electronics Engineers Inc., pp. 887-890, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018, Honolulu, United States, 18/07/2018. https://doi.org/10.1109/EMBC.2018.8512282","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2020465694","https://openalex.org/W2057346508","https://openalex.org/W2140251674","https://openalex.org/W2163605009","https://openalex.org/W2188365844","https://openalex.org/W2467604901","https://openalex.org/W2470142083","https://openalex.org/W2592929672","https://openalex.org/W2735582614","https://openalex.org/W2750941149","https://openalex.org/W2754853733","https://openalex.org/W2964137676","https://openalex.org/W6684191040","https://openalex.org/W6687045409","https://openalex.org/W6703199735","https://openalex.org/W6719953051","https://openalex.org/W6720208624","https://openalex.org/W6744070701"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W2145836866","https://openalex.org/W2803255133","https://openalex.org/W2909431601"],"abstract_inverted_index":{"Ultrasound":[0],"(US)":[1],"imaging":[2],"is":[3,131],"arguably":[4],"the":[5,31,44,48,51,54,58,65,68,83,86,109,129,134,154,165],"most":[6],"commonly":[7],"used":[8],"modality":[9],"for":[10,53,82,114,141,146],"fetal":[11,87],"screening.":[12],"Recently,":[13],"3DUS":[14,92],"has":[15],"been":[16],"progressively":[17],"adopted":[18],"in":[19,61,89,133,161],"modern":[20],"obstetric":[21,162],"practice,":[22],"showing":[23,121],"promising":[24],"diagnosis":[25],"capabilities,":[26],"and":[27,40,50,100,143,168],"alleviating":[28],"many":[29],"of":[30,34,47,67,71,85,108,128],"inherent":[32],"limitations":[33],"traditional":[35],"2DUS,":[36],"such":[37],"as":[38],"subjectivity":[39],"operator":[41,55],"dependence.":[42],"However,":[43],"involuntary":[45],"movements":[46],"fetus,":[49],"difficulty":[52],"to":[56,118,156],"inspect":[57],"entire":[59,69],"volume":[60,136],"real-time":[62],"can":[63],"hinder":[64],"acquisition":[66,159,166],"region":[70],"interest.":[72],"In":[73],"this":[74],"paper,":[75],"we":[76],"present":[77],"two":[78,110],"deep":[79,96],"convolutional":[80,97],"architectures":[81],"reconstruction":[84,149],"skull":[88,130],"partially":[90,175],"occluded":[91,176],"volumes:":[93],"a":[94,101],"TL":[95],"network":[98],"(TL-Net),":[99],"conditional":[102],"variational":[103],"autoencoder":[104],"(CVAE).":[105],"The":[106,148],"performance":[107],"networks":[111,150],"was":[112],"evaluated":[113],"occlusion":[115],"rates":[116],"up":[117],"50%,":[119],"both":[120],"accurate":[122],"results":[123],"even":[124,173],"when":[125],"only":[126],"60%":[127],"included":[132],"US":[135],"(Dice":[137],"coeff.":[138],"$0.84\\pm":[139],"0.04$":[140],"CVAE":[142],"$0.83\\pm":[144],"0.03$":[145],"TL-Net).":[147],"proposed":[151],"here":[152],"have":[153],"potential":[155],"optimize":[157],"image":[158],"protocols":[160],"sonography,":[163],"reducing":[164],"time":[167],"providing":[169],"comprehensive":[170],"anatomical":[171],"information":[172],"from":[174],"images.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}
