{"id":"https://openalex.org/W2745237096","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302286","title":"Modality-bridge transfer learning for medical image classification","display_name":"Modality-bridge transfer learning for medical image classification","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2745237096","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302286","mag":"2745237096"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2017.8302286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1708.03111","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043240146","display_name":"Hak Gu Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hak Gu Kim","raw_affiliation_strings":["School of Electrical Engineering KAIST, Republic of Korea","School of Electrical Engineering KAIST Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering KAIST, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"School of Electrical Engineering KAIST Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103022493","display_name":"Yeoreum Choi","orcid":"https://orcid.org/0000-0003-1541-7477"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yeoreum Choi","raw_affiliation_strings":["School of Electrical Engineering KAIST, Republic of Korea","School of Electrical Engineering KAIST Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering KAIST, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"School of Electrical Engineering KAIST Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038798134","display_name":"Yong Man Ro","orcid":"https://orcid.org/0000-0001-5306-6853"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yong Man Ro","raw_affiliation_strings":["School of Electrical Engineering KAIST, Republic of Korea","School of Electrical Engineering KAIST Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering KAIST, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"School of Electrical Engineering KAIST Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043240146"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":1.14589819,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.8209253,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9950000047683716,"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/T10862","display_name":"AI in cancer detection","score":0.9830999970436096,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/transfer-of-learning","display_name":"Transfer of learning","score":0.8113400936126709},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.806755542755127},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.7933576107025146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7107306718826294},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6176520586013794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5758954882621765},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5498927235603333},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5215418338775635},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.42531266808509827},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40454697608947754},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4010695815086365},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.323700487613678},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12193772196769714},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09816065430641174},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08221283555030823}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.8113400936126709},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.806755542755127},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.7933576107025146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7107306718826294},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6176520586013794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5758954882621765},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5498927235603333},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5215418338775635},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.42531266808509827},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40454697608947754},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4010695815086365},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.323700487613678},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12193772196769714},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09816065430641174},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08221283555030823},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/cisp-bmei.2017.8302286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1708.03111","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1708.03111","pdf_url":"https://arxiv.org/pdf/1708.03111","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.1708.03111","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1708.03111","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:2745237096","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1708.03111","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1708.03111","pdf_url":"https://arxiv.org/pdf/1708.03111","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2745237096.pdf"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W22861983","https://openalex.org/W317170363","https://openalex.org/W626427215","https://openalex.org/W1581627189","https://openalex.org/W2020410729","https://openalex.org/W2052293776","https://openalex.org/W2058583833","https://openalex.org/W2114175038","https://openalex.org/W2117499988","https://openalex.org/W2117539524","https://openalex.org/W2120621413","https://openalex.org/W2135003422","https://openalex.org/W2142514727","https://openalex.org/W2150534249","https://openalex.org/W2165698076","https://openalex.org/W2345010043","https://openalex.org/W2346062110","https://openalex.org/W2406361542","https://openalex.org/W2413867752","https://openalex.org/W2962835968","https://openalex.org/W4234930298","https://openalex.org/W6600949241","https://openalex.org/W6601146891","https://openalex.org/W6611025721","https://openalex.org/W6635327882","https://openalex.org/W6637373629","https://openalex.org/W6665312290","https://openalex.org/W6677604277","https://openalex.org/W6837117956"],"related_works":["https://openalex.org/W1454388745","https://openalex.org/W3180064010","https://openalex.org/W3154640967","https://openalex.org/W3203717475","https://openalex.org/W3163340381","https://openalex.org/W3134938083","https://openalex.org/W3187871083","https://openalex.org/W3042524218","https://openalex.org/W2767577934","https://openalex.org/W3011706535","https://openalex.org/W3205231674","https://openalex.org/W3202230209","https://openalex.org/W3153089280","https://openalex.org/W3037694411","https://openalex.org/W3118963290","https://openalex.org/W3016198642","https://openalex.org/W2189216844","https://openalex.org/W3097259160","https://openalex.org/W3159075836","https://openalex.org/W3081070642"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,37,95,101],"new":[4],"approach":[5],"of":[6,22,31,104],"transfer":[7,24,39,112],"learning-based":[8],"medical":[9,19,49,107],"image":[10],"classification":[11,97],"to":[12,28,63,68,110],"mitigate":[13],"insufficient":[14],"labeled":[15,32,105],"data":[16],"problem":[17],"in":[18,46],"domain.":[20],"Instead":[21],"direct":[23],"learning":[25,40,57,113],"from":[26,61,66],"source":[27,62,74],"small":[29,102],"number":[30,103],"target":[33,54,79,106],"data,":[34],"we":[35],"propose":[36],"modality-bridge":[38],"which":[41],"employs":[42],"the":[43,47,58,70,90],"bridge":[44,64,67],"database":[45],"same":[48],"imaging":[50],"acquisition":[51],"modality":[52],"as":[53],"database.":[55],"By":[56],"projection":[59],"function":[60],"and":[65,78],"target,":[69],"domain":[71],"difference":[72],"between":[73],"(e.g.,":[75,80],"natural":[76],"images)":[77,82],"X-ray":[81],"can":[83,93],"be":[84],"mitigated.":[85],"Experimental":[86],"results":[87],"show":[88],"that":[89],"proposed":[91],"method":[92],"achieve":[94],"high":[96],"performance":[98],"even":[99],"for":[100],"images,":[108],"compared":[109],"various":[111],"approaches.":[114]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}