{"id":"https://openalex.org/W3194799535","doi":"https://doi.org/10.1109/icip42928.2021.9506282","title":"Interpretation of Lesional Detection via Counterfactual Generation","display_name":"Interpretation of Lesional Detection via Counterfactual Generation","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3194799535","doi":"https://doi.org/10.1109/icip42928.2021.9506282","mag":"3194799535"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100659571","display_name":"Junho Kim","orcid":"https://orcid.org/0000-0002-7769-910X"},"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"]},{"id":"https://openalex.org/I4210140439","display_name":"Digital Video (Italy)","ror":"https://ror.org/04ge7a533","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210140439"]}],"countries":["IT","KR"],"is_corresponding":false,"raw_author_name":"Junho Kim","raw_affiliation_strings":["KAIST,Image and Video Systems Lab School of Electrical Engineering,South Korea","Image and Video Systems Lab School of Electrical Engineering, KAIST, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST,Image and Video Systems Lab School of Electrical Engineering,South Korea","institution_ids":["https://openalex.org/I4210140439"]},{"raw_affiliation_string":"Image and Video Systems Lab School of Electrical Engineering, KAIST, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029810193","display_name":"Minsu Kim","orcid":"https://orcid.org/0009-0008-3072-3660"},"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"]},{"id":"https://openalex.org/I4210140439","display_name":"Digital Video (Italy)","ror":"https://ror.org/04ge7a533","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210140439"]}],"countries":["IT","KR"],"is_corresponding":false,"raw_author_name":"Minsu Kim","raw_affiliation_strings":["KAIST,Image and Video Systems Lab School of Electrical Engineering,South Korea","Image and Video Systems Lab School of Electrical Engineering, KAIST, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST,Image and Video Systems Lab School of Electrical Engineering,South Korea","institution_ids":["https://openalex.org/I4210140439"]},{"raw_affiliation_string":"Image and Video Systems Lab School of Electrical Engineering, KAIST, South 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"]},{"id":"https://openalex.org/I4210140439","display_name":"Digital Video (Italy)","ror":"https://ror.org/04ge7a533","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210140439"]}],"countries":["IT","KR"],"is_corresponding":false,"raw_author_name":"Yong Man Ro","raw_affiliation_strings":["KAIST,Image and Video Systems Lab School of Electrical Engineering,South Korea","Image and Video Systems Lab School of Electrical Engineering, KAIST, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST,Image and Video Systems Lab School of Electrical Engineering,South Korea","institution_ids":["https://openalex.org/I4210140439"]},{"raw_affiliation_string":"Image and Video Systems Lab School of Electrical Engineering, KAIST, South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"96","last_page":"100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9921000003814697,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9921000003814697,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.978600025177002,"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":0.9715999960899353,"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/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.9694788455963135},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7618827819824219},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7027308940887451},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6229954957962036},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5720385909080505},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5596687197685242},{"id":"https://openalex.org/keywords/attribution","display_name":"Attribution","score":0.5078886151313782},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.45110052824020386},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44238924980163574},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3602434992790222},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0842197835445404}],"concepts":[{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.9694788455963135},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7618827819824219},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7027308940887451},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6229954957962036},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5720385909080505},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5596687197685242},{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.5078886151313782},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.45110052824020386},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44238924980163574},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3602434992790222},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0842197835445404},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip42928.2021.9506282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7699999809265137,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1849277567","https://openalex.org/W1901129140","https://openalex.org/W2123045220","https://openalex.org/W2125389028","https://openalex.org/W2133506114","https://openalex.org/W2194775991","https://openalex.org/W2334028018","https://openalex.org/W2599354622","https://openalex.org/W2606462007","https://openalex.org/W2776207810","https://openalex.org/W2792263949","https://openalex.org/W2908510526","https://openalex.org/W2914570111","https://openalex.org/W2962858109","https://openalex.org/W2963446712","https://openalex.org/W3035253074","https://openalex.org/W3092001068","https://openalex.org/W3101156210","https://openalex.org/W3101609372","https://openalex.org/W4293861706","https://openalex.org/W4300235091","https://openalex.org/W4300485340","https://openalex.org/W4320013936","https://openalex.org/W6639204139","https://openalex.org/W6639824700","https://openalex.org/W6677995690","https://openalex.org/W6678815747","https://openalex.org/W6725739302","https://openalex.org/W6739575509","https://openalex.org/W6746693533","https://openalex.org/W6749927861","https://openalex.org/W6752170072","https://openalex.org/W6757817989","https://openalex.org/W6768888876"],"related_works":["https://openalex.org/W3201448254","https://openalex.org/W4286970243","https://openalex.org/W2066431708","https://openalex.org/W3025615835","https://openalex.org/W4384133558","https://openalex.org/W173210993","https://openalex.org/W2390660599","https://openalex.org/W3003410553","https://openalex.org/W3028847759","https://openalex.org/W2073196990"],"abstract_inverted_index":{"To":[0,60],"interpret":[1],"the":[2,19,27,34,49,136,143],"decision":[3],"of":[4,26,90,145],"Deep":[5],"Neural":[6],"Networks":[7],"(DNNs),":[8],"explainable":[9,79,94],"artificial":[10],"intelligence":[11],"research":[12],"has":[13,44],"been":[14],"widely":[15],"investigated.":[16],"Especially,":[17],"visualizing":[18],"attribution":[20,121],"maps":[21,122],"is":[22],"known":[23],"as":[24,96],"one":[25],"efficient":[28],"ways":[29],"to":[30,92,101,141],"provide":[31,65],"explanations":[32,68],"for":[33],"trained":[35],"networks.":[36],"Applying":[37],"existing":[38],"visualization":[39],"methods":[40],"on":[41,135],"medical":[42,50,70],"images":[43,51,106,127],"significant":[45],"issues":[46,63],"in":[47,69,72],"that":[48],"commonly":[52],"have":[53],"inherent":[54],"imbalanced":[55],"data":[56],"poses":[57],"and":[58,64,99,123],"scarcity.":[59],"tackle":[61],"such":[62],"more":[66],"accurate":[67],"images,":[71],"this":[73],"paper,":[74],"we":[75],"propose":[76],"a":[77],"new":[78],"framework,":[80],"Counterfactual":[81],"Generative":[82],"Network":[83],"(CGN).":[84],"We":[85],"embed":[86],"counterfactual":[87,104],"lesion":[88],"prediction":[89],"DNNs":[91],"our":[93,146],"framework":[95],"prior":[97],"conditions":[98],"guide":[100],"generate":[102,124],"various":[103],"lesional":[105],"from":[107,128],"normal":[108,126],"input":[109],"sources,":[110],"or":[111],"vice":[112],"versa.":[113],"By":[114],"doing":[115],"so,":[116],"CGN":[117],"can":[118],"represent":[119],"detailed":[120],"corresponding":[125],"leisonal":[129],"inputs.":[130],"Extensive":[131],"experiments":[132],"are":[133],"conducted":[134],"two":[137],"chest":[138],"X-ray":[139],"datasets":[140],"verify":[142],"effectiveness":[144],"method.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}
