{"id":"https://openalex.org/W2961921225","doi":"https://doi.org/10.1109/isbi.2019.8759249","title":"Semi-Supervised Learning With Structured Knowledge For Body Hair Detection In Photoacoustic Image","display_name":"Semi-Supervised Learning With Structured Knowledge For Body Hair Detection In Photoacoustic Image","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2961921225","doi":"https://doi.org/10.1109/isbi.2019.8759249","mag":"2961921225"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2019.8759249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2019.8759249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)","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/A5013233710","display_name":"Ryo Kikkawa","orcid":null},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryo Kikkawa","raw_affiliation_strings":["Kyushu University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyushu University","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109836480","display_name":"Hiroyuki Sekiguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210150196","display_name":"Kyoto University Hospital","ror":"https://ror.org/04k6gr834","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210150196"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroyuki Sekiguchi","raw_affiliation_strings":["Kyoto University Hospital"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University Hospital","institution_ids":["https://openalex.org/I4210150196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060664074","display_name":"Itaru Tsuge","orcid":"https://orcid.org/0000-0003-2441-979X"},"institutions":[{"id":"https://openalex.org/I4210150196","display_name":"Kyoto University Hospital","ror":"https://ror.org/04k6gr834","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210150196"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Itaru Tsuge","raw_affiliation_strings":["Kyoto University Hospital"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University Hospital","institution_ids":["https://openalex.org/I4210150196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024566838","display_name":"Susumu Saito","orcid":"https://orcid.org/0000-0003-2684-7018"},"institutions":[{"id":"https://openalex.org/I4210150196","display_name":"Kyoto University Hospital","ror":"https://ror.org/04k6gr834","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210150196"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Susumu Saito","raw_affiliation_strings":["Kyoto University Hospital"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University Hospital","institution_ids":["https://openalex.org/I4210150196"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064312777","display_name":"Ryoma Bise","orcid":"https://orcid.org/0000-0002-2214-6719"},"institutions":[{"id":"https://openalex.org/I4210150196","display_name":"Kyoto University Hospital","ror":"https://ror.org/04k6gr834","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210150196"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryoma Bise","raw_affiliation_strings":["Kyoto University Hospital"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University Hospital","institution_ids":["https://openalex.org/I4210150196"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3958,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.7977646,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1411","last_page":"1415"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":1.0,"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"}},{"id":"https://openalex.org/T11856","display_name":"Thermography and Photoacoustic Techniques","score":0.9732999801635742,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9567000269889832,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7045209407806396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6978210806846619},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6238932609558105},{"id":"https://openalex.org/keywords/photoacoustic-imaging-in-biomedicine","display_name":"Photoacoustic imaging in biomedicine","score":0.5647725462913513},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5422627925872803},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5322200059890747},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49400097131729126},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.467507928609848},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.44315770268440247}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7045209407806396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6978210806846619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6238932609558105},{"id":"https://openalex.org/C54932901","wikidata":"https://www.wikidata.org/wiki/Q7187705","display_name":"Photoacoustic imaging in biomedicine","level":2,"score":0.5647725462913513},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5422627925872803},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5322200059890747},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49400097131729126},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.467507928609848},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.44315770268440247},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2019.8759249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2019.8759249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1709989312","https://openalex.org/W2048545478","https://openalex.org/W2048679005","https://openalex.org/W2061526129","https://openalex.org/W2079057609","https://openalex.org/W2108501770","https://openalex.org/W2126375075","https://openalex.org/W2136504847","https://openalex.org/W2137450504","https://openalex.org/W2140045824","https://openalex.org/W2962914239","https://openalex.org/W6637278222"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W2392812199","https://openalex.org/W4389116644","https://openalex.org/W4200176076","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W598185802","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W1487808658"],"abstract_inverted_index":{"Photoacoustic":[0],"(PA)":[1],"imaging":[2,7,59],"is":[3,55,60,122],"a":[4,43,61,70],"promising":[5],"new":[6,62],"technology":[8],"for":[9,76,124],"non-invasively":[10],"visualizing":[11],"blood":[12,20,39],"vessels":[13],"inside":[14],"biological":[15],"tissues.":[16],"In":[17],"addition":[18],"to":[19],"vessels,":[21],"body":[22,32,44,78,107,126],"hairs":[23,127],"are":[24],"also":[25],"visualized":[26],"in":[27],"PA":[28,58,115],"imaging,":[29],"and":[30,52,92],"the":[31,36,47,84,102,119],"hair":[33,45],"signals":[34],"degrade":[35],"visibility":[37],"of":[38,49,101],"vessels.":[40],"For":[41],"learning":[42,73],"classifier,":[46],"amount":[48],"real":[50,114],"training":[51,90],"test":[53,95],"data":[54,91,96,116],"limited,":[56],"because":[57],"modality.":[63],"To":[64],"address":[65],"this":[66],"problem,":[67],"we":[68],"propose":[69],"novel":[71],"semi-supervised":[72],"(SSL)":[74],"method":[75,81],"extracting":[77,125],"hairs.":[79],"The":[80],"effectively":[82],"learns":[83],"discriminative":[85],"model":[86],"from":[87],"small":[88,93],"labeled":[89],"unlabeled":[94],"by":[97],"introducing":[98],"prior":[99],"knowledge,":[100],"orientation":[103],"similarity":[104],"among":[105],"adjacent":[106],"hairs,":[108],"into":[109],"SSL.":[110],"Experimental":[111],"results":[112],"using":[113],"demonstrate":[117],"that":[118],"proposed":[120],"approach":[121],"effective":[123],"as":[128],"compared":[129],"with":[130],"several":[131],"baseline":[132],"methods.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}