{"id":"https://openalex.org/W3010806572","doi":"https://doi.org/10.1145/3440067.3440073","title":"RADIOGAN:Deep Convolutional Conditional Generative Adversarial Network to Generate PET Images","display_name":"RADIOGAN:Deep Convolutional Conditional Generative Adversarial Network to Generate PET Images","publication_year":2020,"publication_date":"2020-09-13","ids":{"openalex":"https://openalex.org/W3010806572","doi":"https://doi.org/10.1145/3440067.3440073","mag":"3010806572"},"language":"en","primary_location":{"id":"doi:10.1145/3440067.3440073","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3440067.3440073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 7th International Conference on Bioinformatics Research and Applications","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2003.08663","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005514617","display_name":"Amine Amyar","orcid":"https://orcid.org/0000-0002-1689-1544"},"institutions":[{"id":"https://openalex.org/I4210153881","display_name":"General Electric (France)","ror":"https://ror.org/04q26jh72","country_code":"FR","type":"company","lineage":["https://openalex.org/I1332737386","https://openalex.org/I4210153881"]},{"id":"https://openalex.org/I62396329","display_name":"Universit\u00e9 de Rouen Normandie","ror":"https://ror.org/03nhjew95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I62396329"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Amine Amyar","raw_affiliation_strings":["General Electric Healthcare and University of Rouen, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"General Electric Healthcare and University of Rouen, France","institution_ids":["https://openalex.org/I4210153881","https://openalex.org/I62396329"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037212091","display_name":"Su Ruan","orcid":"https://orcid.org/0000-0001-8785-6917"},"institutions":[{"id":"https://openalex.org/I62396329","display_name":"Universit\u00e9 de Rouen Normandie","ror":"https://ror.org/03nhjew95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I62396329"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Su Ruan","raw_affiliation_strings":["University of Rouen, France","Equipe Quantification en Imagerie Fonctionnelle"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rouen, France","institution_ids":["https://openalex.org/I62396329"]},{"raw_affiliation_string":"Equipe Quantification en Imagerie Fonctionnelle","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Pierre Vera","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151578","display_name":"Centre Virchow-Villerm\u00e9","ror":"https://ror.org/03vkhr254","country_code":"FR","type":"facility","lineage":["https://openalex.org/I204730241","https://openalex.org/I4210151578","https://openalex.org/I7877124"]},{"id":"https://openalex.org/I4387152093","display_name":"Centre Henri Becquerel","ror":"https://ror.org/00whhby07","country_code":null,"type":"facility","lineage":["https://openalex.org/I4210141925","https://openalex.org/I4387152093"]},{"id":"https://openalex.org/I62396329","display_name":"Universit\u00e9 de Rouen Normandie","ror":"https://ror.org/03nhjew95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I62396329"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pierre Vera","raw_affiliation_strings":["University of Rouen and Centre Henri Becquerel, France","Equipe Quantification en Imagerie Fonctionnelle"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rouen and Centre Henri Becquerel, France","institution_ids":["https://openalex.org/I4210151578","https://openalex.org/I4387152093","https://openalex.org/I62396329"]},{"raw_affiliation_string":"Equipe Quantification en Imagerie Fonctionnelle","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091229393","display_name":"Pierre Decazes","orcid":"https://orcid.org/0000-0001-5323-9910"},"institutions":[{"id":"https://openalex.org/I4210151578","display_name":"Centre Virchow-Villerm\u00e9","ror":"https://ror.org/03vkhr254","country_code":"FR","type":"facility","lineage":["https://openalex.org/I204730241","https://openalex.org/I4210151578","https://openalex.org/I7877124"]},{"id":"https://openalex.org/I4210154623","display_name":"Centre Hospitalier Universitaire de Rouen","ror":"https://ror.org/04cdk4t75","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210154623"]},{"id":"https://openalex.org/I4387152093","display_name":"Centre Henri Becquerel","ror":"https://ror.org/00whhby07","country_code":null,"type":"facility","lineage":["https://openalex.org/I4210141925","https://openalex.org/I4387152093"]},{"id":"https://openalex.org/I62396329","display_name":"Universit\u00e9 de Rouen Normandie","ror":"https://ror.org/03nhjew95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I62396329"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pierre Decazes","raw_affiliation_strings":["University of Rouen and Centre Henri Becquerel, France","Service de m\u00e9decine nucl\u00e9aire [Rouen]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rouen and Centre Henri Becquerel, France","institution_ids":["https://openalex.org/I4210151578","https://openalex.org/I4387152093","https://openalex.org/I62396329"]},{"raw_affiliation_string":"Service de m\u00e9decine nucl\u00e9aire [Rouen]","institution_ids":["https://openalex.org/I4210154623"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027818597","display_name":"Romain Modzelewski","orcid":"https://orcid.org/0000-0003-2172-3155"},"institutions":[{"id":"https://openalex.org/I4210151578","display_name":"Centre Virchow-Villerm\u00e9","ror":"https://ror.org/03vkhr254","country_code":"FR","type":"facility","lineage":["https://openalex.org/I204730241","https://openalex.org/I4210151578","https://openalex.org/I7877124"]},{"id":"https://openalex.org/I4387152093","display_name":"Centre Henri Becquerel","ror":"https://ror.org/00whhby07","country_code":null,"type":"facility","lineage":["https://openalex.org/I4210141925","https://openalex.org/I4387152093"]},{"id":"https://openalex.org/I62396329","display_name":"Universit\u00e9 de Rouen Normandie","ror":"https://ror.org/03nhjew95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I62396329"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Romain Modzelewski","raw_affiliation_strings":["University of Rouen and Centre Henri Becquerel, France","Equipe Quantification en Imagerie Fonctionnelle"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rouen and Centre Henri Becquerel, France","institution_ids":["https://openalex.org/I4210151578","https://openalex.org/I4387152093","https://openalex.org/I62396329"]},{"raw_affiliation_string":"Equipe Quantification en Imagerie Fonctionnelle","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7205,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67062315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"28","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9991000294685364,"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":0.9991000294685364,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9919000267982483,"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/computer-science","display_name":"Computer science","score":0.7785326242446899},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7399454116821289},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.6872080564498901},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6568601131439209},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5782021284103394},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45350033044815063},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.44440701603889465},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3569701313972473}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7785326242446899},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7399454116821289},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.6872080564498901},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6568601131439209},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5782021284103394},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45350033044815063},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.44440701603889465},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3569701313972473}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3440067.3440073","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3440067.3440073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 7th International Conference on Bioinformatics Research and Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2003.08663","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.08663","pdf_url":"https://arxiv.org/pdf/2003.08663","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"raw_type":"text"},{"id":"pmh:oai:HAL:hal-03087169v1","is_oa":false,"landing_page_url":"https://hal.archives-ouvertes.fr/hal-03087169","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Biomedical Engineering and Bioinformatics","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.48550/arxiv.2003.08663","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2003.08663","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2003.08663","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.08663","pdf_url":"https://arxiv.org/pdf/2003.08663","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3010806572.pdf","grobid_xml":"https://content.openalex.org/works/W3010806572.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W2056393111","https://openalex.org/W2083927153","https://openalex.org/W2099471712","https://openalex.org/W2125389028","https://openalex.org/W2173520492","https://openalex.org/W2567079332","https://openalex.org/W2775795276","https://openalex.org/W2806321514","https://openalex.org/W2893749619","https://openalex.org/W3103042993"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W4385421777","https://openalex.org/W3178813832"],"abstract_inverted_index":{"One":[0],"of":[1,11,58,102,107,113,117,128],"the":[2,9,28,155],"most":[3],"challenges":[4],"in":[5,31],"medical":[6],"imaging":[7],"is":[8,14,38,48,81,111],"lack":[10],"data.":[12],"It":[13],"proven":[15],"that":[16,85,110,140],"classical":[17],"data":[18],"augmentation":[19],"methods":[20],"are":[21],"useful":[22],"but":[23],"still":[24],"limited":[25],"due":[26],"to":[27,42,50,54,72,94,153],"huge":[29],"variation":[30],"images.":[32],"Using":[33],"generative":[34,69],"adversarial":[35,70],"networks":[36],"(GAN)":[37],"a":[39,65,82,87,121,132,141,144,151],"promising":[40,134],"way":[41],"address":[43],"this":[44,61],"problem,":[45],"however,":[46],"it":[47],"challenging":[49],"train":[51],"one":[52,108],"model":[53,109],"generate":[55,73],"different":[56,95,115],"classes":[57,116],"lesions.":[59],"In":[60,136],"paper,":[62],"we":[63,138],"propose":[64],"deep":[66],"convolutional":[67],"conditional":[68],"network":[71],"MIP":[74],"positron":[75],"emission":[76],"tomography":[77],"image":[78,84],"(PET)":[79],"which":[80],"2D":[83],"represents":[86],"3D":[88],"volume":[89],"for":[90,125],"fast":[91],"interpretation,":[92],"according":[93],"lesions":[96,118],"or":[97],"non-lesion":[98],"(normal).":[99],"The":[100],"advantage":[101],"our":[103],"proposed":[104],"method":[105],"consists":[106],"capable":[112],"generating":[114],"trained":[119],"on":[120],"small":[122],"sample":[123],"size":[124],"each":[126],"class":[127],"lesion":[129],"and":[130],"showing":[131],"very":[133],"result.":[135],"addition,":[137],"show":[139],"walk":[142],"through":[143],"latent":[145],"space":[146],"can":[147],"be":[148],"used":[149],"as":[150],"tool":[152],"evaluate":[154],"images":[156],"generated.":[157]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}
