{"id":"https://openalex.org/W4225345662","doi":"https://doi.org/10.1109/isbi52829.2022.9761494","title":"Pneumonia Detection With Semantic Similarity Scores","display_name":"Pneumonia Detection With Semantic Similarity Scores","publication_year":2022,"publication_date":"2022-03-28","ids":{"openalex":"https://openalex.org/W4225345662","doi":"https://doi.org/10.1109/isbi52829.2022.9761494"},"language":"en","primary_location":{"id":"doi:10.1109/isbi52829.2022.9761494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi52829.2022.9761494","pdf_url":null,"source":{"id":"https://openalex.org/S4363605129","display_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","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 19th International Symposium on Biomedical Imaging (ISBI)","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/A5018316181","display_name":"Rahil Gholamipoor","orcid":null},"institutions":[{"id":"https://openalex.org/I44260953","display_name":"Heinrich Heine University D\u00fcsseldorf","ror":"https://ror.org/024z2rq82","country_code":"DE","type":"education","lineage":["https://openalex.org/I44260953"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Rahil Gholamipoor","raw_affiliation_strings":["Heinrich Heine University,Department of Computer Science,Düsseldorf,Germany"],"affiliations":[{"raw_affiliation_string":"Heinrich Heine University,Department of Computer Science,Düsseldorf,Germany","institution_ids":["https://openalex.org/I44260953"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017658581","display_name":"Nima Rafiee","orcid":null},"institutions":[{"id":"https://openalex.org/I44260953","display_name":"Heinrich Heine University D\u00fcsseldorf","ror":"https://ror.org/024z2rq82","country_code":"DE","type":"education","lineage":["https://openalex.org/I44260953"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nima Rafiee","raw_affiliation_strings":["Heinrich Heine University,Department of Computer Science,Düsseldorf,Germany"],"affiliations":[{"raw_affiliation_string":"Heinrich Heine University,Department of Computer Science,Düsseldorf,Germany","institution_ids":["https://openalex.org/I44260953"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110456998","display_name":"Markus Kollmann","orcid":null},"institutions":[{"id":"https://openalex.org/I44260953","display_name":"Heinrich Heine University D\u00fcsseldorf","ror":"https://ror.org/024z2rq82","country_code":"DE","type":"education","lineage":["https://openalex.org/I44260953"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus Kollmann","raw_affiliation_strings":["Heinrich Heine University,Department of Computer Science,Düsseldorf,Germany"],"affiliations":[{"raw_affiliation_string":"Heinrich Heine University,Department of Computer Science,Düsseldorf,Germany","institution_ids":["https://openalex.org/I44260953"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018316181"],"corresponding_institution_ids":["https://openalex.org/I44260953"],"apc_list":null,"apc_paid":null,"fwci":0.2235,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.38886394,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998000264167786,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998000264167786,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9824000000953674,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.8180850744247437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7555714845657349},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6961772441864014},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.6582505702972412},{"id":"https://openalex.org/keywords/abnormality","display_name":"Abnormality","score":0.6306262612342834},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5183442831039429},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5177665948867798},{"id":"https://openalex.org/keywords/pneumonia","display_name":"Pneumonia","score":0.49721768498420715},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.4281143248081207},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4141348600387573},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4128553867340088},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16802731156349182},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1415596604347229},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11838895082473755},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.10332956910133362}],"concepts":[{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.8180850744247437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7555714845657349},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6961772441864014},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.6582505702972412},{"id":"https://openalex.org/C50965678","wikidata":"https://www.wikidata.org/wiki/Q2724302","display_name":"Abnormality","level":2,"score":0.6306262612342834},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5183442831039429},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5177665948867798},{"id":"https://openalex.org/C2777914695","wikidata":"https://www.wikidata.org/wiki/Q12192","display_name":"Pneumonia","level":2,"score":0.49721768498420715},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.4281143248081207},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4141348600387573},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4128553867340088},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16802731156349182},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1415596604347229},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11838895082473755},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.10332956910133362},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi52829.2022.9761494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi52829.2022.9761494","pdf_url":null,"source":{"id":"https://openalex.org/S4363605129","display_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","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 19th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2531327146","https://openalex.org/W2611650229","https://openalex.org/W2622263826","https://openalex.org/W2767414122","https://openalex.org/W2786052267","https://openalex.org/W2867167548","https://openalex.org/W2914203365","https://openalex.org/W2963243407","https://openalex.org/W2963466845","https://openalex.org/W3005680577","https://openalex.org/W3025404316","https://openalex.org/W3035524453","https://openalex.org/W3090304925","https://openalex.org/W3090754826","https://openalex.org/W3091546937","https://openalex.org/W3101156210","https://openalex.org/W3120430728","https://openalex.org/W3127694486","https://openalex.org/W3139379779","https://openalex.org/W3164161311","https://openalex.org/W4287262235","https://openalex.org/W4287899531","https://openalex.org/W6728622933","https://openalex.org/W6739622702","https://openalex.org/W6745891213","https://openalex.org/W6747758984","https://openalex.org/W6752760542","https://openalex.org/W6773129678","https://openalex.org/W6774314701","https://openalex.org/W6784185929","https://openalex.org/W6789731502"],"related_works":["https://openalex.org/W4382795578","https://openalex.org/W2355463328","https://openalex.org/W2402648945","https://openalex.org/W1431147547","https://openalex.org/W2055761197","https://openalex.org/W939486154","https://openalex.org/W2053213469","https://openalex.org/W2057608111","https://openalex.org/W2793032185","https://openalex.org/W2728851634"],"abstract_inverted_index":{"X-ray":[0],"images":[1,83],"have":[2],"been":[3],"widely":[4],"used":[5],"for":[6,96,115],"medical":[7],"diagnoses":[8],"of":[9,49,99],"cardiothoracic":[10],"and":[11,36,52],"pulmonary":[12],"abnormalities":[13],"due":[14],"to":[15,45,55,73,91],"their":[16],"noninvasiveness.":[17],"Advancement":[18],"in":[19],"computer-aided":[20],"diagnostic":[21],"technologies,":[22],"such":[23],"as":[24],"deep":[25],"supervised":[26,113],"methods,":[27],"can":[28],"help":[29],"radiologists":[30],"with":[31,68],"a":[32,56,64,69],"reliable":[33],"early":[34],"treatment":[35],"reduce":[37],"diagnosis":[38],"time.":[39],"Nevertheless,":[40],"these":[41],"methods":[42,95],"are":[43,53],"prone":[44],"the":[46,85,97,108,112],"small":[47],"number":[48],"labeled":[50],"samples":[51],"limited":[54],"specific":[57],"abnormality.":[58],"In":[59],"this":[60],"paper,":[61],"we":[62],"combined":[63],"self-supervised":[65,109],"contrastive":[66],"method":[67,78,110],"Mahalanobis":[70],"distance":[71],"score":[72],"develop":[74],"an":[75],"abnormality":[76],"detection":[77],"that":[79,104],"uses":[80],"only":[81],"healthy":[82],"during":[84],"training":[86],"procedure.":[87],"We":[88,102],"were":[89],"able":[90],"outperform":[92],"previous":[93],"unsupervised":[94],"task":[98],"Pneumonia":[100,116],"detection.":[101,117],"show":[103],"representation":[105],"learned":[106],"by":[107],"improves":[111],"tasks":[114]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}