{"id":"https://openalex.org/W4413887047","doi":"https://doi.org/10.1109/tpami.2025.3598866","title":"LatentAugment: Data Augmentation via Guided Manipulation of GAN\u2019s Latent Space","display_name":"LatentAugment: Data Augmentation via Guided Manipulation of GAN\u2019s Latent Space","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4413887047","doi":"https://doi.org/10.1109/tpami.2025.3598866","pmid":"https://pubmed.ncbi.nlm.nih.gov/40889306"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2025.3598866","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3598866","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tpami.2025.3598866","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067471614","display_name":"Lorenzo Tronchin","orcid":"https://orcid.org/0000-0001-6512-9444"},"institutions":[{"id":"https://openalex.org/I155125353","display_name":"Universit\u00e0 Campus Bio-Medico","ror":"https://ror.org/04gqx4x78","country_code":"IT","type":"education","lineage":["https://openalex.org/I155125353"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Tronchin","raw_affiliation_strings":["Department of Engineering, University Campus-Biomedico of Rome, Rome, Italy"],"raw_orcid":"https://orcid.org/0000-0001-6512-9444","affiliations":[{"raw_affiliation_string":"Department of Engineering, University Campus-Biomedico of Rome, Rome, Italy","institution_ids":["https://openalex.org/I155125353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063734949","display_name":"Minh H. Vu","orcid":"https://orcid.org/0000-0002-2391-1419"},"institutions":[{"id":"https://openalex.org/I4210122018","display_name":"University of Maryland Extension","ror":"https://ror.org/03r8q5f36","country_code":"US","type":"education","lineage":["https://openalex.org/I4210122018"]},{"id":"https://openalex.org/I90267481","display_name":"Ume\u00e5 University","ror":"https://ror.org/05kb8h459","country_code":"SE","type":"education","lineage":["https://openalex.org/I90267481"]}],"countries":["SE","US"],"is_corresponding":false,"raw_author_name":"Minh H. Vu","raw_affiliation_strings":["Department of Radiation Sciences, Ume&#x00E5; University, Ume&#x00E5;, Sweden"],"raw_orcid":"https://orcid.org/0000-0002-2391-1419","affiliations":[{"raw_affiliation_string":"Department of Radiation Sciences, Ume&#x00E5; University, Ume&#x00E5;, Sweden","institution_ids":["https://openalex.org/I90267481","https://openalex.org/I4210122018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003216983","display_name":"Paolo Soda","orcid":"https://orcid.org/0000-0003-2621-072X"},"institutions":[{"id":"https://openalex.org/I155125353","display_name":"Universit\u00e0 Campus Bio-Medico","ror":"https://ror.org/04gqx4x78","country_code":"IT","type":"education","lineage":["https://openalex.org/I155125353"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paolo Soda","raw_affiliation_strings":["Department of Engineering, University Campus-Biomedico of Rome, Rome, Italy"],"raw_orcid":"https://orcid.org/0000-0003-2621-072X","affiliations":[{"raw_affiliation_string":"Department of Engineering, University Campus-Biomedico of Rome, Rome, Italy","institution_ids":["https://openalex.org/I155125353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035857033","display_name":"Tommy L\u00f6fstedt","orcid":"https://orcid.org/0000-0001-7119-7646"},"institutions":[{"id":"https://openalex.org/I90267481","display_name":"Ume\u00e5 University","ror":"https://ror.org/05kb8h459","country_code":"SE","type":"education","lineage":["https://openalex.org/I90267481"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Tommy L\u00f6fstedt","raw_affiliation_strings":["Department of Computing Science, Ume&#x00E5; University, Ume&#x00E5;, Sweden"],"raw_orcid":"https://orcid.org/0000-0001-7119-7646","affiliations":[{"raw_affiliation_string":"Department of Computing Science, Ume&#x00E5; University, Ume&#x00E5;, Sweden","institution_ids":["https://openalex.org/I90267481"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.0637,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.95320882,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"47","issue":"12","first_page":"11519","last_page":"11533"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.98089998960495,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.98089998960495,"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/T10028","display_name":"Topic Modeling","score":0.9671000242233276,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9301999807357788,"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/computer-science","display_name":"Computer science","score":0.6394751071929932},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6001554131507874},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.48264747858047485},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48259246349334717},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36866381764411926}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6394751071929932},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6001554131507874},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.48264747858047485},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48259246349334717},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36866381764411926},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2025.3598866","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3598866","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:40889306","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40889306","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:DiVA.org:umu-244092","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-244092","pdf_url":null,"source":{"id":"https://openalex.org/S4306400361","display_name":"DiVA at Ume\u00e5 University (Ume\u00e5 University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I90267481","host_organization_name":"Ume\u00e5 University","host_organization_lineage":["https://openalex.org/I90267481"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1109/tpami.2025.3598866","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3598866","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1364868472","display_name":null,"funder_award_id":"2018-05973","funder_id":"https://openalex.org/F4320322581","funder_display_name":"Vetenskapsr\u00e5det"},{"id":"https://openalex.org/G8869864247","display_name":null,"funder_award_id":"2022-06725","funder_id":"https://openalex.org/F4320322581","funder_display_name":"Vetenskapsr\u00e5det"}],"funders":[{"id":"https://openalex.org/F4320322581","display_name":"Vetenskapsr\u00e5det","ror":"https://ror.org/03zttf063"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Data":[0],"Augmentation":[1],"(DA)":[2],"is":[3,137],"a":[4,44,97,159],"technique":[5],"to":[6,60,128,140,183],"increase":[7],"the":[8,13,51,102,130,141,144,156],"quantity":[9],"and":[10,16,21,67,71,74,121,134,143,205],"diversity":[11,70,104,133],"of":[12,53,105,150,158],"training":[14],"data,":[15],"by":[17,46],"that":[18,100,153],"alleviate":[19],"overfitting":[20],"improve":[22],"generalisation.":[23],"However,":[24,56],"standard":[25,167],"DA":[26,92,98,112,168],"produces":[27],"synthetic":[28,48,131,199],"data":[29],"for":[30,109],"augmentation":[31],"with":[32,195],"limited":[33],"diversity.":[34,206],"Generative":[35],"Adversarial":[36],"Networks":[37],"(GANs)":[38],"may":[39],"unlock":[40],"additional":[41],"information":[42],"in":[43,91,111,187,193],"dataset":[45,142],"generating":[47],"samples":[49,81,200],"having":[50],"appearance":[52],"real":[54],"images.":[55],"these":[57],"models":[58],"struggle":[59],"simultaneously":[61],"address":[62],"three":[63],"key":[64],"requirements:":[65],"fidelity":[66],"high-quality":[68,80],"samples;":[69],"mode":[72,86,203],"coverage;":[73],"fast":[75],"sampling.":[76,172],"Indeed,":[77],"GANs":[78],"generate":[79],"rapidly,":[82],"but":[83],"have":[84],"poor":[85],"coverage,":[87],"limiting":[88],"their":[89],"adoption":[90],"applications.":[93,113],"We":[94,173],"propose":[95],"LatentAugment,":[96],"strategy":[99],"overcomes":[101],"low":[103],"GANs,":[106],"opening":[107],"up":[108],"use":[110],"Without":[114],"external":[115],"supervision,":[116],"LatentAugment":[117,154,198],"modifies":[118],"latent":[119,125],"vectors":[120],"moves":[122],"them":[123],"into":[124],"space":[126],"regions":[127],"maximise":[129],"images'":[132],"fidelity.":[135],"It":[136],"also":[138],"agnostic":[139],"downstream":[145],"task.":[146],"A":[147],"wide":[148],"set":[149],"experiments":[151],"shows":[152],"improves":[155],"generalisation":[157],"deep":[160],"model":[161],"translating":[162,179],"from":[163,180],"MRI-to-CT":[164],"beating":[165],"both":[166],"as":[169],"well":[170],"GAN-based":[171,196],"further":[174],"demonstrate":[175],"its":[176],"effectiveness":[177],"when":[178],"low-energy":[181],"mammograms":[182],"dual-energy":[184],"subtracted":[185],"images":[186],"contrast-enhanced":[188],"spectral":[189],"mammography.":[190],"Moreover,":[191],"still":[192],"comparison":[194],"sampling,":[197],"show":[201],"superior":[202],"coverage":[204]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-19T17:40:00.097472","created_date":"2025-10-10T00:00:00"}
