{"id":"https://openalex.org/W4403792105","doi":"https://doi.org/10.1145/3664647.3681174","title":"Neural Boneprint: Person Identification from Bones Using Generative Contrastive Deep Learning","display_name":"Neural Boneprint: Person Identification from Bones Using Generative Contrastive Deep Learning","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403792105","doi":"https://doi.org/10.1145/3664647.3681174"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3681174","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","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/A5009338778","display_name":"Chaoqun Niu","orcid":"https://orcid.org/0000-0001-7146-7677"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoqun Niu","raw_affiliation_strings":["College of Computer Science, Sichuan University & Engineering Research Center of Machine Learning and Industry Intelligence, Ministry of Education, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-7146-7677","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University & Engineering Research Center of Machine Learning and Industry Intelligence, Ministry of Education, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364591","display_name":"Dongdong Chen","orcid":"https://orcid.org/0000-0002-7016-9288"},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dongdong Chen","raw_affiliation_strings":["School of Mathematical & Computer Sciences, Heriot-Watt University, Edinburgh, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-7016-9288","affiliations":[{"raw_affiliation_string":"School of Mathematical & Computer Sciences, Heriot-Watt University, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I32062511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003270633","display_name":"Jizhe Zhou","orcid":"https://orcid.org/0000-0002-2447-1806"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jizhe Zhou","raw_affiliation_strings":["College of Computer Science, Sichuan University & Engineering Research Center of Machine Learning and Industry Intelligence, Ministry of Education, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-2447-1806","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University & Engineering Research Center of Machine Learning and Industry Intelligence, Ministry of Education, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100623819","display_name":"Jian Wang","orcid":"https://orcid.org/0000-0002-9173-4979"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Wang","raw_affiliation_strings":["College of Computer Science, Sichuan University & Engineering Research Center of Machine Learning and Industry Intelligence, Ministry of Education, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-9173-4979","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University & Engineering Research Center of Machine Learning and Industry Intelligence, Ministry of Education, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109392220","display_name":"Xiang Luo","orcid":"https://orcid.org/0000-0001-5232-569X"},"institutions":[{"id":"https://openalex.org/I2800091995","display_name":"West China Medical Center of Sichuan University","ror":"https://ror.org/040nggs60","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I24185976","https://openalex.org/I2800091995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Luo","raw_affiliation_strings":["West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-5232-569X","affiliations":[{"raw_affiliation_string":"West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I2800091995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101632544","display_name":"Quan-Hui Liu","orcid":"https://orcid.org/0000-0002-9481-7964"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan-Hui Liu","raw_affiliation_strings":["College of Computer Science, Sichuan University & Engineering Research Center of Machine Learning and Industry Intelligence, Ministry of Education, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-9481-7964","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University & Engineering Research Center of Machine Learning and Industry Intelligence, Ministry of Education, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuan Li","orcid":"https://orcid.org/0000-0001-8708-2472"},"institutions":[{"id":"https://openalex.org/I2800091995","display_name":"West China Medical Center of Sichuan University","ror":"https://ror.org/040nggs60","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I24185976","https://openalex.org/I2800091995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Li","raw_affiliation_strings":["West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-8708-2472","affiliations":[{"raw_affiliation_string":"West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I2800091995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073535763","display_name":"Jiancheng Lv","orcid":"https://orcid.org/0000-0001-6551-3884"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiancheng Lv","raw_affiliation_strings":["College of Computer Science, Sichuan University & Engineering Research Center of Machine Learning and Industry Intelligence, Ministry of Education, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-6551-3884","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University & Engineering Research Center of Machine Learning and Industry Intelligence, Ministry of Education, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.7389,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.96766439,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"7609","last_page":"7618"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10992","display_name":"Forensic Anthropology and Bioarchaeology Studies","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10992","display_name":"Forensic Anthropology and Bioarchaeology Studies","score":0.9995999932289124,"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/T12296","display_name":"Autopsy Techniques and Outcomes","score":0.9779999852180481,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11448","display_name":"Face recognition and analysis","score":0.963100016117096,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7168752551078796},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.643662691116333},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6403196454048157},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6312285661697388},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5410605072975159},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5077091455459595},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06594571471214294}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7168752551078796},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.643662691116333},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6403196454048157},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6312285661697388},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5410605072975159},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5077091455459595},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06594571471214294},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3664647.3681174","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1586064734","https://openalex.org/W1943029493","https://openalex.org/W1973471886","https://openalex.org/W1998473914","https://openalex.org/W2013827642","https://openalex.org/W2019566532","https://openalex.org/W2039110588","https://openalex.org/W2053625321","https://openalex.org/W2056072369","https://openalex.org/W2062816471","https://openalex.org/W2096733369","https://openalex.org/W2304547203","https://openalex.org/W2398081562","https://openalex.org/W2605160046","https://openalex.org/W2780564062","https://openalex.org/W2944067726","https://openalex.org/W2953214814","https://openalex.org/W2962898354","https://openalex.org/W2963037989","https://openalex.org/W2963073614","https://openalex.org/W2963466847","https://openalex.org/W2963775347","https://openalex.org/W2963976704","https://openalex.org/W2965825127","https://openalex.org/W2967716061","https://openalex.org/W2969985801","https://openalex.org/W2975706315","https://openalex.org/W2990651013","https://openalex.org/W2992949251","https://openalex.org/W3008797044","https://openalex.org/W3035524453","https://openalex.org/W3086987754","https://openalex.org/W3139379779","https://openalex.org/W3158304272","https://openalex.org/W3162474807","https://openalex.org/W3172109584","https://openalex.org/W3194065175","https://openalex.org/W3209073624","https://openalex.org/W3214064215","https://openalex.org/W4226344018","https://openalex.org/W4292828954","https://openalex.org/W4294031812","https://openalex.org/W4313525974","https://openalex.org/W4380368610","https://openalex.org/W4382372240","https://openalex.org/W4385989249","https://openalex.org/W4386887987","https://openalex.org/W4402753825"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W4321369474","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"Forensic":[0],"person":[1,49],"identification":[2],"is":[3,26,162],"of":[4,58,97,112,135],"paramount":[5],"importance":[6],"in":[7],"accidents":[8],"and":[9,78,115,122],"criminal":[10],"investigations.":[11],"Existing":[12],"methods":[13,157],"based":[14],"on":[15,128],"soft":[16],"tissue":[17],"or":[18,30],"DNA":[19],"can":[20,43],"be":[21],"unavailable":[22],"if":[23],"the":[24,70,85,95,98,104,133,136],"body":[25],"badly":[27],"decomposed,":[28],"white-ossified,":[29],"charred.":[31],"However,":[32],"bones":[33,59],"last":[34],"a":[35,40,48,55,108,118,148],"long":[36],"time.":[37],"This":[38],"raises":[39],"natural":[41],"question:":[42],"we":[44,68],"learn":[45],"to":[46,93],"identify":[47],"using":[50],"bone":[51],"data?":[52],"We":[53,101,141],"present":[54],"novel":[56],"feature":[57],"called":[60],"Neural":[61,137],"Boneprint":[62,138],"for":[63,139,151],"personal":[64],"identification.":[65,140],"In":[66],"particular,":[67],"exploit":[69],"thoracic":[71],"skeletal":[72,130],"data":[73,131],"including":[74],"chest":[75],"radiographs":[76],"(CXRs)":[77],"computed":[79],"tomography":[80],"(CT)":[81],"images":[82,114],"enhanced":[83],"by":[84],"volume":[86],"rendering":[87],"technique":[88],"(VRT)":[89],"as":[90,107],"an":[91],"example":[92],"explore":[94],"availability":[96],"neural":[99,105],"boneprint.":[100],"then":[102],"represent":[103],"boneprint":[106],"joint":[109],"latent":[110],"embedding":[111],"VRT":[113],"CXRs":[116],"through":[117],"bidirectional":[119],"cross-modality":[120],"translation":[121],"contrastive":[123],"learning.":[124],"Preliminary":[125],"experimental":[126],"results":[127],"real":[129],"demonstrate":[132],"effectiveness":[134],"hope":[142],"that":[143],"this":[144],"approach":[145],"will":[146],"provide":[147],"promising":[149],"alternative":[150],"challenging":[152],"forensic":[153],"cases":[154],"where":[155],"conventional":[156],"are":[158],"limited.":[159],"The":[160],"code":[161],"available":[163],"at":[164],"https://github.com/CheltonNiu/Neural-Boneprint.git.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}