{"id":"https://openalex.org/W3000623398","doi":"https://doi.org/10.1109/soli48380.2019.8955074","title":"3D Deep Learning for 3D Printing of Tooth Model","display_name":"3D Deep Learning for 3D Printing of Tooth Model","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3000623398","doi":"https://doi.org/10.1109/soli48380.2019.8955074","mag":"3000623398"},"language":"en","primary_location":{"id":"doi:10.1109/soli48380.2019.8955074","is_oa":false,"landing_page_url":"https://doi.org/10.1109/soli48380.2019.8955074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)","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/A5100770932","display_name":"Yiwen Liu","orcid":"https://orcid.org/0000-0001-6677-7961"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiwen Liu","raw_affiliation_strings":["Faculty of Information, The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information, The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252","https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112558531","display_name":"Xiuqin Shang","orcid":"https://orcid.org/0000-0003-4531-396X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuqin Shang","raw_affiliation_strings":["The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045934908","display_name":"Zhen Shen","orcid":"https://orcid.org/0000-0002-9634-4945"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Shen","raw_affiliation_strings":["Beijing Engineering Research Center of Intelligent Systems and Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center of Intelligent Systems and Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380066","display_name":"Bin Hu","orcid":"https://orcid.org/0000-0003-3514-5413"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Hu","raw_affiliation_strings":["Beijing Engineering Research Center of Intelligent Systems and Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center of Intelligent Systems and Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100698057","display_name":"Zhihai Wang","orcid":"https://orcid.org/0000-0002-8696-0947"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihai Wang","raw_affiliation_strings":["Faculty of Information, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088979194","display_name":"Gang Xiong","orcid":"https://orcid.org/0000-0002-4303-5559"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Xiong","raw_affiliation_strings":["Beijing Engineering Research Center of Intelligent Systems and Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center of Intelligent Systems and Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100770932"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I37796252","https://openalex.org/I4210112150"],"apc_list":null,"apc_paid":null,"fwci":0.1892,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.53587284,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"274","last_page":"279"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.605462372303009},{"id":"https://openalex.org/keywords/3d-printing","display_name":"3D printing","score":0.5628113150596619},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44986557960510254},{"id":"https://openalex.org/keywords/3d-printed","display_name":"3d printed","score":0.4430440366268158},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41396570205688477},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.36006176471710205},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1846405565738678},{"id":"https://openalex.org/keywords/manufacturing-engineering","display_name":"Manufacturing engineering","score":0.09885740280151367},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.09078460931777954}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.605462372303009},{"id":"https://openalex.org/C524769229","wikidata":"https://www.wikidata.org/wiki/Q229367","display_name":"3D printing","level":2,"score":0.5628113150596619},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44986557960510254},{"id":"https://openalex.org/C3019308078","wikidata":"https://www.wikidata.org/wiki/Q229367","display_name":"3d printed","level":2,"score":0.4430440366268158},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41396570205688477},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.36006176471710205},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1846405565738678},{"id":"https://openalex.org/C117671659","wikidata":"https://www.wikidata.org/wiki/Q11049265","display_name":"Manufacturing engineering","level":1,"score":0.09885740280151367},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.09078460931777954}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/soli48380.2019.8955074","is_oa":false,"landing_page_url":"https://doi.org/10.1109/soli48380.2019.8955074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1920022804","https://openalex.org/W1973414297","https://openalex.org/W2010625607","https://openalex.org/W2027894370","https://openalex.org/W2076374635","https://openalex.org/W2157497352","https://openalex.org/W2169008480","https://openalex.org/W2254644702","https://openalex.org/W2560609797","https://openalex.org/W2606202972","https://openalex.org/W2778498877","https://openalex.org/W2803677510","https://openalex.org/W2891681677","https://openalex.org/W2892018721","https://openalex.org/W2945580652","https://openalex.org/W2962928871","https://openalex.org/W2963121255","https://openalex.org/W2963333168","https://openalex.org/W6640300118","https://openalex.org/W6730183526","https://openalex.org/W6739778489","https://openalex.org/W6763422710"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W3036311796","https://openalex.org/W4367665844","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285543619","https://openalex.org/W4285208911","https://openalex.org/W3082895349"],"abstract_inverted_index":{"Recently,":[0],"with":[1,18,36,66],"the":[2,14,19,71,87,94,98,111],"development":[3],"of":[4,16,56],"both":[5],"3D":[6,9,23,49,57,61],"sensors":[7],"and":[8,90,107],"virtual":[10],"network":[11,88,99],"that":[12,110],"bring":[13],"needs":[15],"interaction":[17],"real":[20],"world,":[21],"many":[22],"applications":[24],"burst":[25],"out.":[26],"However,":[27],"it":[28],"is":[29,44,73,100],"difficult":[30],"to":[31,46,92,102],"understanding":[32],"these":[33,48],"three-dimensional":[34],"scenes":[35],"a":[37,41,53,77],"fixed":[38],"program.":[39],"Then,":[40],"data-driven":[42],"method":[43,80],"required":[45],"process":[47],"data,":[50],"which":[51],"brings":[52],"strong":[54],"demand":[55],"Deep":[58],"Learning":[59],"in":[60],"data.":[62],"Towards":[63],"this":[64],"goal,":[65],"an":[67],"end-to-end":[68],"deep":[69],"learning,":[70],"experiment":[72,85],"based":[74],"on":[75],"PointNet++,":[76],"well":[78],"proposed":[79],"for":[81,105],"feature":[82],"extraction.":[83],"The":[84],"optimizes":[86],"structure":[89],"parameters":[91],"improve":[93],"classification":[95,106],"results.":[96],"Finally,":[97],"applied":[101],"tooth":[103],"model":[104,113],"identification":[108],"so":[109],"dental":[112],"can":[114],"be":[115],"found":[116],"from":[117],"different":[118],"perspectives.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
