{"id":"https://openalex.org/W4313527305","doi":"https://doi.org/10.1109/bibm55620.2022.9995488","title":"Image-to-Image Orthodontics Transfer Employing Gray Level CO-Occurrence Matrix Loss","display_name":"Image-to-Image Orthodontics Transfer Employing Gray Level CO-Occurrence Matrix Loss","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4313527305","doi":"https://doi.org/10.1109/bibm55620.2022.9995488"},"language":"en","primary_location":{"id":"doi:10.1109/bibm55620.2022.9995488","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bibm55620.2022.9995488","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5009922928","display_name":"Sanbi Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"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/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sanbi Luo","raw_affiliation_strings":["Institute of Information Engineering,Chinese Academy of Sciences,Beijing,China","School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering,Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5009922928"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29681185,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"70","issue":null,"first_page":"1668","last_page":"1672"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9936000108718872,"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"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9936000108718872,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.989799976348877,"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"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9706000089645386,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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/image","display_name":"Image (mathematics)","score":0.5986875295639038},{"id":"https://openalex.org/keywords/co-occurrence-matrix","display_name":"Co-occurrence matrix","score":0.5753729343414307},{"id":"https://openalex.org/keywords/gray-level","display_name":"Gray level","score":0.5443399548530579},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5199452638626099},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4929349422454834},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4764711856842041},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.32632529735565186},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32431545853614807},{"id":"https://openalex.org/keywords/orthodontics","display_name":"Orthodontics","score":0.32277339696884155},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3043820261955261},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.2923141121864319},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10374674201011658}],"concepts":[{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5986875295639038},{"id":"https://openalex.org/C117479156","wikidata":"https://www.wikidata.org/wiki/Q1543908","display_name":"Co-occurrence matrix","level":5,"score":0.5753729343414307},{"id":"https://openalex.org/C2985861186","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Gray level","level":3,"score":0.5443399548530579},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5199452638626099},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4929349422454834},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4764711856842041},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.32632529735565186},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32431545853614807},{"id":"https://openalex.org/C29694066","wikidata":"https://www.wikidata.org/wiki/Q118301","display_name":"Orthodontics","level":1,"score":0.32277339696884155},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3043820261955261},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.2923141121864319},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10374674201011658}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm55620.2022.9995488","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bibm55620.2022.9995488","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":37,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W2044465660","https://openalex.org/W2133665775","https://openalex.org/W2612063021","https://openalex.org/W2896240508","https://openalex.org/W2949981374","https://openalex.org/W2962793481","https://openalex.org/W2962903125","https://openalex.org/W2962974533","https://openalex.org/W2963021791","https://openalex.org/W2963073614","https://openalex.org/W2963420272","https://openalex.org/W2963444790","https://openalex.org/W2963723198","https://openalex.org/W2963800363","https://openalex.org/W2966963399","https://openalex.org/W2972043148","https://openalex.org/W2989855043","https://openalex.org/W2990269423","https://openalex.org/W3023089346","https://openalex.org/W3034482833","https://openalex.org/W3034491749","https://openalex.org/W3034521057","https://openalex.org/W3034583007","https://openalex.org/W3034832575","https://openalex.org/W3034954643","https://openalex.org/W3106333289","https://openalex.org/W3112587064","https://openalex.org/W3196446418","https://openalex.org/W3212329498","https://openalex.org/W4301206121","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6735204497","https://openalex.org/W6752009473","https://openalex.org/W6765779288","https://openalex.org/W6766150548"],"related_works":["https://openalex.org/W1505833044","https://openalex.org/W2617798614","https://openalex.org/W2393987497","https://openalex.org/W2366706511","https://openalex.org/W2358710088","https://openalex.org/W2799833988","https://openalex.org/W2365822921","https://openalex.org/W2085254577","https://openalex.org/W2388086542","https://openalex.org/W1999006669"],"abstract_inverted_index":{"Orthodontics":[0],"transfer":[1,7,46,84,95,129],"is":[2,101,134],"a":[3],"new,":[4],"challenging":[5],"image-to-image":[6,21,44],"task":[8,85],"from":[9],"malpositioned-teeth":[10,56],"images":[11,57,62],"to":[12,19,26,81,118,125],"neat-teeth":[13,61],"images.":[14],"More":[15],"specifically,":[16],"it":[17],"belongs":[18],"the":[20,28,51,73,78,82,92,115],"location":[22],"transfer,":[23],"which":[24],"aims":[25],"rearrange":[27],"chaotic":[29],"foreground":[30],"objects":[31],"into":[32],"an":[33,88],"orderly":[34],"layout.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39,49,71,112],"conducted":[40],"further":[41,102],"research":[42],"on":[43,91],"orthodontics":[45,83,128],"task.":[47,130],"Firstly,":[48],"studied":[50],"similarities":[52,67],"and":[53,58,63,86,122],"differences":[54],"between":[55,68],"their":[59],"corresponding":[60],"found":[64],"texture":[65],"feature":[66],"them.":[69],"Then":[70],"analyzed":[72],"problems":[74],"of":[75],"directly":[76],"applying":[77],"LTGAN":[79],"method":[80,121],"proposed":[87],"approach":[89],"based":[90],"boundary":[93],"label":[94],"bridge.":[96],"Finally,":[97],"our":[98,120],"model\u2019s":[99],"performance":[100],"improved":[103],"by":[104],"employing":[105],"gray":[106],"level":[107],"co-occurrence":[108],"matrix":[109],"loss.":[110],"Moreover,":[111],"have":[113],"augmented":[114],"OrthoD":[116],"datasets":[117],"support":[119],"potential":[123],"attempts":[124],"deal":[126],"with":[127],"The":[131],"added":[132],"data":[133],"available":[135],"at":[136],"https://drive.google.com/drive/folders/1bzoxzi_608SzCVgaABlPAjZVqp6pp7L8?usp=sharing.":[137]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}