{"id":"https://openalex.org/W4402351101","doi":"https://doi.org/10.1109/tmi.2024.3456251","title":"Toward Semantically-Consistent Deformable 2D-3D Registration for 3D Craniofacial Structure Estimation From a Single-View Lateral Cephalometric Radiograph","display_name":"Toward Semantically-Consistent Deformable 2D-3D Registration for 3D Craniofacial Structure Estimation From a Single-View Lateral Cephalometric Radiograph","publication_year":2024,"publication_date":"2024-09-09","ids":{"openalex":"https://openalex.org/W4402351101","doi":"https://doi.org/10.1109/tmi.2024.3456251","pmid":"https://pubmed.ncbi.nlm.nih.gov/39250375"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2024.3456251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3456251","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-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/A5016397295","display_name":"Yikun Jiang","orcid":"https://orcid.org/0000-0001-8191-3343"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yikun Jiang","raw_affiliation_strings":["Center for Data Science, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8191-3343","affiliations":[{"raw_affiliation_string":"Center for Data Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051110215","display_name":"Yuru Pei","orcid":"https://orcid.org/0000-0001-8520-3509"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuru Pei","raw_affiliation_strings":["School of Intelligence Science and Technology, Key Laboratory of Machine Perception (MOE), State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, China","Key Laboratory of Machine Perception (MOE), State Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8520-3509","affiliations":[{"raw_affiliation_string":"School of Intelligence Science and Technology, Key Laboratory of Machine Perception (MOE), State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]},{"raw_affiliation_string":"Key Laboratory of Machine Perception (MOE), State Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084999631","display_name":"Tianmin Xu","orcid":"https://orcid.org/0000-0001-6975-6226"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210132950","display_name":"Stomatology Hospital","ror":"https://ror.org/041yj5753","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210132950"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianmin Xu","raw_affiliation_strings":["School of Stomatology, Stomatology Hospital, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Stomatology, Stomatology Hospital, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210132950","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038943746","display_name":"Xiaoru Yuan","orcid":"https://orcid.org/0000-0002-7233-980X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoru Yuan","raw_affiliation_strings":["School of Intelligence Science and Technology, Key Laboratory of Machine Perception (MOE), State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, China","Key Laboratory of Machine Perception (MOE), State Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7233-980X","affiliations":[{"raw_affiliation_string":"School of Intelligence Science and Technology, Key Laboratory of Machine Perception (MOE), State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]},{"raw_affiliation_string":"Key Laboratory of Machine Perception (MOE), State Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017031914","display_name":"Hongbin Zha","orcid":"https://orcid.org/0000-0001-5860-4673"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbin Zha","raw_affiliation_strings":["School of Intelligence Science and Technology, Key Laboratory of Machine Perception (MOE), State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, China","Key Laboratory of Machine Perception (MOE), State Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5860-4673","affiliations":[{"raw_affiliation_string":"School of Intelligence Science and Technology, Key Laboratory of Machine Perception (MOE), State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]},{"raw_affiliation_string":"Key Laboratory of Machine Perception (MOE), State Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4062,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61401833,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"44","issue":"2","first_page":"685","last_page":"697"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11363","display_name":"Dental Radiography and Imaging","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/3504","display_name":"Oral Surgery"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11363","display_name":"Dental Radiography and Imaging","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/3504","display_name":"Oral Surgery"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10992","display_name":"Forensic Anthropology and Bioarchaeology Studies","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/craniofacial","display_name":"Craniofacial","score":0.7107515931129456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6804354190826416},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.673920750617981},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5864726305007935},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5484524369239807},{"id":"https://openalex.org/keywords/radiography","display_name":"Radiography","score":0.5073065161705017},{"id":"https://openalex.org/keywords/orthodontics","display_name":"Orthodontics","score":0.4573677182197571},{"id":"https://openalex.org/keywords/cephalometric-analysis","display_name":"Cephalometric analysis","score":0.4105963408946991},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23486065864562988},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.21140000224113464},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.14625871181488037}],"concepts":[{"id":"https://openalex.org/C2781245598","wikidata":"https://www.wikidata.org/wiki/Q5182134","display_name":"Craniofacial","level":2,"score":0.7107515931129456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6804354190826416},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.673920750617981},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5864726305007935},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5484524369239807},{"id":"https://openalex.org/C36454342","wikidata":"https://www.wikidata.org/wiki/Q245341","display_name":"Radiography","level":2,"score":0.5073065161705017},{"id":"https://openalex.org/C29694066","wikidata":"https://www.wikidata.org/wiki/Q118301","display_name":"Orthodontics","level":1,"score":0.4573677182197571},{"id":"https://openalex.org/C2779333352","wikidata":"https://www.wikidata.org/wiki/Q5063294","display_name":"Cephalometric analysis","level":2,"score":0.4105963408946991},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23486065864562988},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.21140000224113464},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.14625871181488037},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","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":"D002508","descriptor_name":"Cephalometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D002508","descriptor_name":"Cephalometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D002508","descriptor_name":"Cephalometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D002508","descriptor_name":"Cephalometry","qualifier_ui":"Q000379","qualifier_name":"methods","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012886","descriptor_name":"Skull","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012886","descriptor_name":"Skull","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D012886","descriptor_name":"Skull","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012886","descriptor_name":"Skull","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D054893","descriptor_name":"Cone-Beam Computed Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D054893","descriptor_name":"Cone-Beam Computed Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D054893","descriptor_name":"Cone-Beam Computed Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D054893","descriptor_name":"Cone-Beam Computed Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2024.3456251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3456251","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:39250375","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39250375","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":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2169685823","display_name":null,"funder_award_id":"7232337","funder_id":"https://openalex.org/F4320334977","funder_display_name":"Beijing Municipal Natural Science Foundation"},{"id":"https://openalex.org/G534002323","display_name":null,"funder_award_id":"82071172","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7098578991","display_name":null,"funder_award_id":"61876008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G749641739","display_name":null,"funder_award_id":"62272011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334977","display_name":"Beijing Municipal Natural Science Foundation","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W245150054","https://openalex.org/W1520633619","https://openalex.org/W1555620887","https://openalex.org/W1601177101","https://openalex.org/W1784553244","https://openalex.org/W1909903157","https://openalex.org/W1970928383","https://openalex.org/W1972344168","https://openalex.org/W1990470832","https://openalex.org/W2000529452","https://openalex.org/W2011095615","https://openalex.org/W2023473820","https://openalex.org/W2028296930","https://openalex.org/W2032841984","https://openalex.org/W2044444637","https://openalex.org/W2062389113","https://openalex.org/W2065161384","https://openalex.org/W2102286300","https://openalex.org/W2130428136","https://openalex.org/W2135296153","https://openalex.org/W2152947391","https://openalex.org/W2194775991","https://openalex.org/W2323970633","https://openalex.org/W2329673985","https://openalex.org/W2344328023","https://openalex.org/W2523510515","https://openalex.org/W2591105087","https://openalex.org/W2591825272","https://openalex.org/W2593013519","https://openalex.org/W2732397834","https://openalex.org/W2751249193","https://openalex.org/W2755211235","https://openalex.org/W2792256465","https://openalex.org/W2799774179","https://openalex.org/W2805658037","https://openalex.org/W2891631795","https://openalex.org/W2945773929","https://openalex.org/W2949477454","https://openalex.org/W2962759210","https://openalex.org/W2963097316","https://openalex.org/W2965761874","https://openalex.org/W2970654711","https://openalex.org/W2982067315","https://openalex.org/W2982389107","https://openalex.org/W3026967795","https://openalex.org/W3094379937","https://openalex.org/W3151224251","https://openalex.org/W3196648233","https://openalex.org/W3198813222","https://openalex.org/W4205716522","https://openalex.org/W4285104720","https://openalex.org/W4306914348","https://openalex.org/W4385626871","https://openalex.org/W4387079729","https://openalex.org/W6618372016","https://openalex.org/W6763194938","https://openalex.org/W6775212149","https://openalex.org/W6805366898"],"related_works":["https://openalex.org/W1996253731","https://openalex.org/W2039542506","https://openalex.org/W4380680244","https://openalex.org/W1995173235","https://openalex.org/W2067245475","https://openalex.org/W2139327020","https://openalex.org/W2023521928","https://openalex.org/W2795817156","https://openalex.org/W4392757210","https://openalex.org/W2367103279"],"abstract_inverted_index":{"The":[0,86,173],"deep":[1],"neural":[2],"networks":[3],"combined":[4],"with":[5,98,162],"the":[6,27,34,75,92,106,145],"statistical":[7,94],"shape":[8],"model":[9],"have":[10],"enabled":[11],"efficient":[12],"deformable":[13,60,159],"2D-3D":[14,61,160],"registration":[15,62,72,96,121,161,167],"and":[16,41,63,79,102,129,151,168],"recovery":[17,67],"of":[18,37,44,120,147],"3D":[19],"anatomical":[20,39],"structures":[21,40],"from":[22,105],"a":[23,53,70,80,112,117,135],"single":[24,81],"radiograph.":[25],"However,":[26],"recovered":[28],"volumetric":[29,35,65,130,148,170],"image":[30,66,149],"tends":[31],"to":[32,90,115,123],"lack":[33],"fidelity":[36],"fine-grained":[38,125],"explicit":[42],"consideration":[43],"cross-dimensional":[45],"semantic":[46,103,138,142],"correspondence.":[47],"In":[48],"this":[49],"paper,":[50],"we":[51],"introduce":[52],"simple":[54],"but":[55],"effective":[56],"solution":[57],"for":[58,141],"semantically-consistent":[59],"detailed":[64],"by":[68],"inferring":[69],"voxel-wise":[71],"field":[73,97],"between":[74],"cone-beam":[76],"computed":[77],"tomography":[78],"lateral":[82],"cephalometric":[83],"radiograph":[84],"(LC).":[85],"key":[87],"idea":[88],"is":[89,176],"refine":[91],"initial":[93],"model-based":[95],"craniofacial":[99,126],"structural":[100,127],"details":[101,128],"consistency":[104,139],"LC.":[107],"Specifically,":[108],"our":[109,156],"framework":[110],"employs":[111],"self-supervised":[113],"scheme":[114],"learn":[116],"voxel-level":[118],"refiner":[119],"fields":[122],"provide":[124],"fidelity.":[131],"We":[132],"also":[133],"present":[134],"weakly":[136],"supervised":[137],"measure":[140],"correspondence,":[143],"relieving":[144],"requirements":[146],"collections":[150],"annotations.":[152],"Experiments":[153],"showcase":[154],"that":[155],"method":[157],"achieves":[158],"performance":[163],"gains":[164],"over":[165],"state-of-the-art":[166],"radiograph-based":[169],"reconstruction":[171],"methods.":[172],"source":[174],"code":[175],"available":[177],"at":[178],"https://github.com/Jyk-122/SC-DREG.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2024-09-10T00:00:00"}