{"id":"https://openalex.org/W3133030124","doi":"https://doi.org/10.1117/12.2581687","title":"Advancing the AmbientGAN for learning stochastic object models","display_name":"Advancing the AmbientGAN for learning stochastic object models","publication_year":2021,"publication_date":"2021-02-12","ids":{"openalex":"https://openalex.org/W3133030124","doi":"https://doi.org/10.1117/12.2581687","mag":"3133030124"},"language":"en","primary_location":{"id":"doi:10.1117/12.2581687","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2581687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment","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/A5035698435","display_name":"Weimin Zhou","orcid":"https://orcid.org/0000-0001-6678-4088"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Weimin Zhou","raw_affiliation_strings":["Univ. of California, Santa Barbara (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of California, Santa Barbara (United States)","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091328277","display_name":"Sayantan Bhadra","orcid":"https://orcid.org/0000-0001-8321-1142"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sayantan Bhadra","raw_affiliation_strings":["Washington Univ. in St. Louis (United States)"],"affiliations":[{"raw_affiliation_string":"Washington Univ. in St. Louis (United States)","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064714231","display_name":"Frank J. Brooks","orcid":"https://orcid.org/0000-0002-5949-3386"},"institutions":[{"id":"https://openalex.org/I2801919071","display_name":"University of Illinois System","ror":"https://ror.org/05e94g991","country_code":"US","type":"education","lineage":["https://openalex.org/I2801919071"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Frank J. Brooks","raw_affiliation_strings":["Univ. of Illinois (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Illinois (United States)","institution_ids":["https://openalex.org/I2801919071"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068094970","display_name":"Jason Granstedt","orcid":"https://orcid.org/0009-0009-8228-5540"},"institutions":[{"id":"https://openalex.org/I2801919071","display_name":"University of Illinois System","ror":"https://ror.org/05e94g991","country_code":"US","type":"education","lineage":["https://openalex.org/I2801919071"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jason L. Granstedt","raw_affiliation_strings":["Univ. of Illinois (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Illinois (United States)","institution_ids":["https://openalex.org/I2801919071"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057105337","display_name":"Hua Li","orcid":"https://orcid.org/0000-0002-5629-2247"},"institutions":[{"id":"https://openalex.org/I1308343090","display_name":"Carle Foundation Hospital","ror":"https://ror.org/02nfcgd30","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1308343090"]},{"id":"https://openalex.org/I2801919071","display_name":"University of Illinois System","ror":"https://ror.org/05e94g991","country_code":"US","type":"education","lineage":["https://openalex.org/I2801919071"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hua Li","raw_affiliation_strings":["Carle Foundation Hospital (United States)","Univ. of Illinois (United States)"],"affiliations":[{"raw_affiliation_string":"Carle Foundation Hospital (United States)","institution_ids":["https://openalex.org/I1308343090"]},{"raw_affiliation_string":"Univ. of Illinois (United States)","institution_ids":["https://openalex.org/I2801919071"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046506193","display_name":"Mark A. Anastasio","orcid":"https://orcid.org/0000-0002-3192-4172"},"institutions":[{"id":"https://openalex.org/I2801919071","display_name":"University of Illinois System","ror":"https://ror.org/05e94g991","country_code":"US","type":"education","lineage":["https://openalex.org/I2801919071"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark A. Anastasio","raw_affiliation_strings":["Univ. of Illinois (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Illinois (United States)","institution_ids":["https://openalex.org/I2801919071"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5035698435"],"corresponding_institution_ids":["https://openalex.org/I154570441"],"apc_list":null,"apc_paid":null,"fwci":0.1921,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.45588235,"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":"7","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9994000196456909,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9994000196456909,"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":0.9771999716758728,"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"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9753000140190125,"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":0.8264322280883789},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6061583757400513},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5345629453659058},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.5257585644721985},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4690324068069458},{"id":"https://openalex.org/keywords/stylized-fact","display_name":"Stylized fact","score":0.4667167067527771},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4575807452201843},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4300905466079712},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4178919196128845},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.41094857454299927},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.28895944356918335}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8264322280883789},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6061583757400513},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5345629453659058},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.5257585644721985},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4690324068069458},{"id":"https://openalex.org/C38935604","wikidata":"https://www.wikidata.org/wiki/Q4330363","display_name":"Stylized fact","level":2,"score":0.4667167067527771},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4575807452201843},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4300905466079712},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4178919196128845},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.41094857454299927},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.28895944356918335},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2581687","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2581687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2529311304","https://openalex.org/W4248275646","https://openalex.org/W2992609826","https://openalex.org/W3124809058","https://openalex.org/W2552900035","https://openalex.org/W2162875951","https://openalex.org/W2062875858","https://openalex.org/W4380047323","https://openalex.org/W3171895902","https://openalex.org/W4287122539"],"abstract_inverted_index":{"Medical":[0],"imaging":[1,144,150,179,206,220],"systems":[2,207],"are":[3,135,146,174,208,234],"commonly":[4,147],"assessed":[5],"and":[6,88,196,222],"optimized":[7],"by":[8,49,96,188],"use":[9,70,97],"of":[10,12,20,35,98,108,114,212,225,231],"objective-measures":[11],"image":[13,167],"quality":[14],"(IQ)":[15],"that":[16,37,59,156,173],"quantify":[17],"the":[18,28,105,112,162,223],"performance":[19],"an":[21,32,76],"observer":[22,41],"at":[23],"specific":[24,166],"tasks.":[25],"Variation":[26],"in":[27],"objects":[29,233],"to-be-imaged":[30],"is":[31,67,121],"important":[33],"source":[34],"variability":[36,45],"can":[38,46,60],"significantly":[39],"limit":[40],"performance.":[42],"This":[43],"object":[44,51,64,119],"be":[47,93],"described":[48],"stochastic":[50],"models":[52,120],"(SOMs).":[53],"In":[54,181],"order":[55],"to":[56,69,116,164,215,227],"establish":[57,117],"SOMs":[58,218],"accurately":[61],"model":[62],"realistic":[63,118],"variability,":[65],"it":[66],"desirable":[68],"experimental":[71],"data.":[72],"To":[73,123],"achieve":[74],"this,":[75,125],"augmented":[77],"generative":[78],"adversarial":[79],"network":[80],"(GAN)":[81],"architecture":[82],"called":[83],"AmbientGAN":[84,128,192],"has":[85,130],"been":[86,131],"developed":[87],"investigated.":[89],"However,":[90,133],"AmbientGANs":[91,115],"cannot":[92],"immediately":[94],"trained":[95],"advanced":[99,191],"GAN":[100],"training":[101],"methods":[102],"such":[103,169],"as":[104,170],"progressive":[106],"growing":[107],"GANs":[109],"(ProGANs).":[110],"Therefore,":[111],"ability":[113,163,211,224],"limited.":[122],"circumvent":[124],"a":[126],"progressively-growing":[127],"(ProAmGAN)":[129],"proposed.":[132],"ProAmGANs":[134,155,195,214],"designed":[136],"for":[137,149],"generating":[138],"two-dimensional":[139],"(2D)":[140],"images":[141],"while":[142],"medical":[143],"modalities":[145],"employed":[148],"three-dimensional":[151],"(3D)":[152],"objects.":[153],"Moreover,":[154],"employ":[157],"traditional":[158],"generator":[159],"architectures":[160],"lack":[161],"control":[165,228],"features":[168],"fine-scale":[171,229],"textures":[172,230],"frequently":[175],"considered":[176],"when":[177],"optimizing":[178],"systems.":[180],"this":[182],"study,":[183],"we":[184],"address":[185],"these":[186],"limitations":[187],"proposing":[189],"two":[190],"architectures:":[193],"3D":[194,213,217],"Style-AmbientGANs":[197],"(StyAmGANs).":[198],"Stylized":[199],"numerical":[200],"studies":[201],"involving":[202],"magnetic":[203],"resonance":[204],"(MR)":[205],"conducted.":[209],"The":[210],"learn":[216],"from":[219],"measurements":[221],"StyAmGANs":[226],"synthesized":[232],"demonstrated.":[235]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
