{"id":"https://openalex.org/W4392904427","doi":"https://doi.org/10.1109/icassp48485.2024.10446605","title":"M3DSYNTH: A Dataset of Medical 3D Images with AI-Generated Local Manipulations","display_name":"M3DSYNTH: A Dataset of Medical 3D Images with AI-Generated Local Manipulations","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392904427","doi":"https://doi.org/10.1109/icassp48485.2024.10446605"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10446605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5078732355","display_name":"Giada Zingarini","orcid":"https://orcid.org/0009-0002-8702-5464"},"institutions":[{"id":"https://openalex.org/I4210117450","display_name":"Federico II University Hospital","ror":"https://ror.org/02jr6tp70","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210117450","https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"G. Zingarini","raw_affiliation_strings":["University Federico II of Naples,Italy","University Federico II of Naples, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Federico II of Naples,Italy","institution_ids":["https://openalex.org/I4210117450"]},{"raw_affiliation_string":"University Federico II of Naples, Italy","institution_ids":["https://openalex.org/I4210117450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085769320","display_name":"Davide Cozzolino","orcid":"https://orcid.org/0000-0001-6158-7595"},"institutions":[{"id":"https://openalex.org/I4210117450","display_name":"Federico II University Hospital","ror":"https://ror.org/02jr6tp70","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210117450","https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"D. Cozzolino","raw_affiliation_strings":["University Federico II of Naples,Italy","University Federico II of Naples, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Federico II of Naples,Italy","institution_ids":["https://openalex.org/I4210117450"]},{"raw_affiliation_string":"University Federico II of Naples, Italy","institution_ids":["https://openalex.org/I4210117450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005264328","display_name":"Raffaella Corvi","orcid":"https://orcid.org/0000-0001-5632-4467"},"institutions":[{"id":"https://openalex.org/I4210117450","display_name":"Federico II University Hospital","ror":"https://ror.org/02jr6tp70","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210117450","https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"R. Corvi","raw_affiliation_strings":["University Federico II of Naples,Italy","University Federico II of Naples, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Federico II of Naples,Italy","institution_ids":["https://openalex.org/I4210117450"]},{"raw_affiliation_string":"University Federico II of Naples, Italy","institution_ids":["https://openalex.org/I4210117450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081981044","display_name":"Giovanni Poggi","orcid":"https://orcid.org/0000-0003-1327-4812"},"institutions":[{"id":"https://openalex.org/I4210117450","display_name":"Federico II University Hospital","ror":"https://ror.org/02jr6tp70","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210117450","https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"G. Poggi","raw_affiliation_strings":["University Federico II of Naples,Italy","University Federico II of Naples, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Federico II of Naples,Italy","institution_ids":["https://openalex.org/I4210117450"]},{"raw_affiliation_string":"University Federico II of Naples, Italy","institution_ids":["https://openalex.org/I4210117450"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080842029","display_name":"Luisa Verdoliva","orcid":"https://orcid.org/0000-0001-7286-7963"},"institutions":[{"id":"https://openalex.org/I4210117450","display_name":"Federico II University Hospital","ror":"https://ror.org/02jr6tp70","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210117450","https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"L. Verdoliva","raw_affiliation_strings":["University Federico II of Naples,Italy","University Federico II of Naples, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Federico II of Naples,Italy","institution_ids":["https://openalex.org/I4210117450"]},{"raw_affiliation_string":"University Federico II of Naples, Italy","institution_ids":["https://openalex.org/I4210117450"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7498,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.85138361,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"13176","last_page":"13180"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9891999959945679,"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"}},"topics":[{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9891999959945679,"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/T10862","display_name":"AI in cancer detection","score":0.9782000184059143,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9772999882698059,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8023509979248047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6517831087112427},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.6346965432167053},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.5724198222160339},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5459115505218506},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5374857187271118},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5275984406471252},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4298444092273712},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.42875513434410095},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4016953706741333},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3200545907020569},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.15836694836616516},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.09022185206413269}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8023509979248047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6517831087112427},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.6346965432167053},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.5724198222160339},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5459115505218506},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5374857187271118},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5275984406471252},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4298444092273712},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.42875513434410095},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4016953706741333},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3200545907020569},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.15836694836616516},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.09022185206413269},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10446605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1579019551","display_name":null,"funder_award_id":"FA8750-20-2-1004","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G2151224667","display_name":null,"funder_award_id":"101070093","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G2599072453","display_name":null,"funder_award_id":"PRIN 2017","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4713059963","display_name":null,"funder_award_id":"FA8750","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320321408","display_name":"Ministry of Education","ror":"https://ror.org/01p262204"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320332815","display_name":"Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1986649315","https://openalex.org/W2531409750","https://openalex.org/W2752929869","https://openalex.org/W2769848455","https://openalex.org/W2948407537","https://openalex.org/W2963073614","https://openalex.org/W2965545961","https://openalex.org/W2982058372","https://openalex.org/W2994855290","https://openalex.org/W3034530968","https://openalex.org/W3036167779","https://openalex.org/W3087912695","https://openalex.org/W3097255416","https://openalex.org/W3154575015","https://openalex.org/W3204445027","https://openalex.org/W4283698495","https://openalex.org/W4285176942","https://openalex.org/W4308862026","https://openalex.org/W4375869427","https://openalex.org/W4385815563","https://openalex.org/W4386075803","https://openalex.org/W6757703924","https://openalex.org/W6779823529"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2000169967","https://openalex.org/W2112883198"],"abstract_inverted_index":{"The":[0],"ability":[1],"to":[2,63,153],"detect":[3,155],"manipulated":[4,82,90,122,158],"visual":[5],"content":[6,32],"is":[7,26,55],"becoming":[8],"increasingly":[9],"important":[10],"in":[11,19,99],"many":[12],"application":[13],"fields,":[14],"given":[15],"the":[16,27,31,37,50,56,147],"rapid":[17],"advances":[18],"image":[20],"synthesis":[21],"methods.":[22],"Of":[23],"particular":[24],"concern":[25],"possibility":[28],"of":[29,33,58,81,120],"modifying":[30],"medical":[34],"images,":[35],"altering":[36],"resulting":[38],"diagnoses.":[39],"Despite":[40],"its":[41],"relevance,":[42],"this":[43,73],"issue":[44,74],"has":[45],"received":[46],"limited":[47],"attention":[48],"from":[49],"research":[51],"community.":[52],"One":[53],"reason":[54],"lack":[57],"large":[59,79],"and":[60,67,75,141,156,164,175],"curated":[61],"datasets":[62],"use":[64],"for":[65,117],"development":[66],"benchmarking":[68],"purposes.":[69],"Here,":[70],"we":[71],"investigate":[72],"propose":[76],"M3Dsynth,":[77],"a":[78,118],"dataset":[80],"Computed":[83],"Tomography":[84],"(CT)":[85],"lung":[86,96],"images.":[87],"We":[88,134],"create":[89],"images":[91,128],"by":[92],"injecting":[93],"or":[94,113],"removing":[95],"cancer":[97],"nodules":[98],"real":[100],"CT":[101],"scans,":[102],"using":[103],"three":[104],"different":[105],"methods":[106],"based":[107],"on":[108,146],"Generative":[109],"Adversarial":[110],"Networks":[111],"(GAN)":[112],"Diffusion":[114],"Models":[115],"(DM),":[116],"total":[119],"8,577":[121],"samples.":[123],"Experiments":[124],"show":[125],"that":[126],"these":[127],"easily":[129],"fool":[130],"automated":[131],"diagnostic":[132],"tools.":[133],"also":[135],"tested":[136],"several":[137],"state-of-the-art":[138],"forensic":[139],"detectors":[140],"demonstrated":[142],"that,":[143],"once":[144],"trained":[145],"proposed":[148],"dataset,":[149],"they":[150],"are":[151,167,177],"able":[152],"accurately":[154],"localize":[157],"synthetic":[159],"content,":[160],"even":[161],"when":[162],"training":[163],"test":[165],"sets":[166],"not":[168],"aligned,":[169],"showing":[170],"good":[171],"generalization":[172],"ability.":[173],"Dataset":[174],"code":[176],"publicly":[178],"available":[179],"at":[180],"https://grip-unina.github.io/M3Dsynth/.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
