{"id":"https://openalex.org/W7126112805","doi":"https://doi.org/10.1109/bibm66473.2025.11356187","title":"OMGAN: One-to-Many Generative Adversarial Network for Diagnosing Orbital Lymphoproliferative Disorders in Incomplete Multi-Parametric MRI","display_name":"OMGAN: One-to-Many Generative Adversarial Network for Diagnosing Orbital Lymphoproliferative Disorders in Incomplete Multi-Parametric MRI","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126112805","doi":"https://doi.org/10.1109/bibm66473.2025.11356187"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356187","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5124197698","display_name":"Yuanxin Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuanxin Zhao","raw_affiliation_strings":["School of Information Science and Technology, Northwest University,Xi&#x0027;an Key Lab of Radiomics and Intelligent Perception,Xi&#x0027;an,China,710127"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northwest University,Xi&#x0027;an Key Lab of Radiomics and Intelligent Perception,Xi&#x0027;an,China,710127","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124211370","display_name":"Fengjun Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengjun Zhao","raw_affiliation_strings":["School of Information Science and Technology, Northwest University,Xi&#x0027;an Key Lab of Radiomics and Intelligent Perception,Xi&#x0027;an,China,710127"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northwest University,Xi&#x0027;an Key Lab of Radiomics and Intelligent Perception,Xi&#x0027;an,China,710127","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084379028","display_name":"Huachen Zhang","orcid":"https://orcid.org/0000-0002-4618-0380"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huachen Zhang","raw_affiliation_strings":["School of Information Science and Technology, Northwest University,Xi&#x0027;an Key Lab of Radiomics and Intelligent Perception,Xi&#x0027;an,China,710127"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northwest University,Xi&#x0027;an Key Lab of Radiomics and Intelligent Perception,Xi&#x0027;an,China,710127","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124184246","display_name":"Lijuan Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141776","display_name":"China XD Group (China)","ror":"https://ror.org/04ceqst84","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210141776"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijuan Yang","raw_affiliation_strings":["Xi&#x0027;an Fourth Hospital,Department of Radiology,Xi&#x0027;an,China,710004"],"affiliations":[{"raw_affiliation_string":"Xi&#x0027;an Fourth Hospital,Department of Radiology,Xi&#x0027;an,China,710004","institution_ids":["https://openalex.org/I4210141776"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120951513","display_name":"Xuelei He","orcid":null},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuelei He","raw_affiliation_strings":["School of Information Science and Technology, Northwest University,Xi&#x0027;an Key Lab of Radiomics and Intelligent Perception,Xi&#x0027;an,China,710127"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northwest University,Xi&#x0027;an Key Lab of Radiomics and Intelligent Perception,Xi&#x0027;an,China,710127","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100950376","display_name":"Xiaowei He","orcid":null},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowei He","raw_affiliation_strings":["School of Information Science and Technology, Northwest University,Xi&#x0027;an Key Lab of Radiomics and Intelligent Perception,Xi&#x0027;an,China,710127"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northwest University,Xi&#x0027;an Key Lab of Radiomics and Intelligent Perception,Xi&#x0027;an,China,710127","institution_ids":["https://openalex.org/I37802460"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5124197698"],"corresponding_institution_ids":["https://openalex.org/I37802460"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.71171753,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4471","last_page":"4476"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.289000004529953,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.289000004529953,"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/T10185","display_name":"Lymphoma Diagnosis and Treatment","score":0.11739999800920486,"subfield":{"id":"https://openalex.org/subfields/2734","display_name":"Pathology and Forensic Medicine"},"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/T12212","display_name":"CNS Lymphoma Diagnosis and Treatment","score":0.04129999876022339,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.6439999938011169},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5597000122070312},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.413100004196167},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4032999873161316},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.39820000529289246},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.3555999994277954},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.3230000138282776},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.3181999921798706}],"concepts":[{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.6439999938011169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6399000287055969},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.621399998664856},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5597000122070312},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.413100004196167},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4032999873161316},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.39820000529289246},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.3555999994277954},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.3230000138282776},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.3181999921798706},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.30979999899864197},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30649998784065247},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3025999963283539},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.29269999265670776},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.2858999967575073},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.27799999713897705},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.2777999937534332},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2775000035762787},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.272599995136261},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.25690001249313354},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356187","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5845209084","display_name":null,"funder_award_id":"62476218,62201459","funder_id":"https://openalex.org/F4320320885","funder_display_name":"European Research Consortium for Informatics and Mathematics"}],"funders":[{"id":"https://openalex.org/F4320320885","display_name":"European Research Consortium for Informatics and Mathematics","ror":"https://ror.org/055zrhj18"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1978971215","https://openalex.org/W1987466318","https://openalex.org/W1992530733","https://openalex.org/W2153596034","https://openalex.org/W2173762291","https://openalex.org/W2295839376","https://openalex.org/W2429648571","https://openalex.org/W2790746777","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963767194","https://openalex.org/W3026661235","https://openalex.org/W3044278755","https://openalex.org/W3048618621","https://openalex.org/W4210345945","https://openalex.org/W4281618764","https://openalex.org/W4282053004","https://openalex.org/W4328048195","https://openalex.org/W4390939367","https://openalex.org/W4390971129","https://openalex.org/W4406367153"],"related_works":[],"abstract_inverted_index":{"Multi-parametric":[0],"magnetic":[1],"resonance":[2],"imaging":[3],"(mpMRI)":[4],"is":[5],"widely":[6],"used":[7],"in":[8,22,80,115,214],"the":[9,75,157,183,209,215,230],"diagnosis":[10,129,211],"of":[11,77,91,119,212],"orbital":[12],"lymphoproliferative":[13],"disorders":[14],"(OLPDs)":[15],"due":[16,32],"to":[17,33,35,54,154,162,181,196,207],"its":[18],"non-invasive":[19],"nature.":[20],"However,":[21],"clinical":[23],"practice,":[24],"contrast-enhanced":[25],"T1-weighted":[26,59],"(T1C)":[27],"images":[28,42,57,93,132],"are":[29,205,241],"often":[30,86],"unavailable":[31],"contraindications":[34],"gadolinium-based":[36],"contrast":[37],"agents,":[38],"meanwhile":[39],"T2-weighted":[40],"(T2w)":[41],"may":[43],"also":[44],"be":[45],"omitted":[46],"for":[47,64,112],"time-sensitive":[48],"diagnoses,":[49],"making":[50],"it":[51],"a":[52,106,120,124,135,173,177,189,193],"challenge":[53],"generate":[55],"these":[56],"from":[58,88,159],"(T1":[60],"w)":[61],"image":[62,82,200],"alone":[63,133],"multimodal":[65,128,203],"differential":[66,210],"diagnosis.":[67],"Generative":[68,108],"adversarial":[69],"network":[70],"(GAN)-based":[71],"models":[72],"partially":[73],"address":[74],"issue":[76],"missing":[78,92,184],"modalities":[79],"medical":[81],"analysis;":[83],"however,":[84],"they":[85],"suffer":[87],"unstable":[89],"generation":[90,158],"and":[94,123,151,164,232,237],"lack":[95],"integration":[96],"with":[97,176,192,229],"subsequent":[98],"diagnostic":[99],"tasks.":[100],"To":[101],"this":[102],"end,":[103],"we":[104,139,171,187],"propose":[105],"One-to-Many":[107],"Adversarial":[109],"Network":[110],"(OMGAN)":[111],"diagnosing":[113],"OLPDs":[114,213],"incomplete":[116],"mpMRI,":[117],"consisting":[118],"cross-modal":[121,174],"generator":[122,175],"self-representation":[125,190],"module,":[126],"enabling":[127],"using":[130],"pre-contrast":[131],"within":[134,167],"single":[136],"model.":[137,169],"Specifically,":[138],"first":[140],"design":[141],"an":[142],"image-modality":[143],"fusion":[144],"module":[145,191],"that":[146,223],"incorporates":[147],"trigonometric":[148],"function":[149],"coding":[150],"mixup":[152],"augmentation":[153],"effectively":[155,197],"guide":[156],"T1":[160,165],"w":[161],"T2w":[163],"C":[166],"one":[168],"Then,":[170],"construct":[172],"semantic":[178],"disambiguation":[179],"block":[180],"synthesize":[182],"images.":[185],"Meanwhile,":[186],"use":[188],"classification-guided":[194],"branch":[195],"extract":[198],"task-relevant":[199],"features.":[201],"Finally,":[202],"features":[204],"fused":[206],"accomplish":[208],"downstream":[216],"task.":[217],"Experiments":[218],"on":[219],"internal":[220],"datasets":[221],"demonstrated":[222],"OMGAN":[224],"outperforms":[225],"state-of-the-art":[226],"GAN-based":[227],"models,":[228],"area-under-the-curve":[231],"accuracy":[233],"improving":[234],"by":[235],"8.18-14.04%":[236],"12.53-16.39%,":[238],"respectively.":[239],"Codes":[240],"available":[242],"at":[243],"https://github.com/3Iasticheart/OMGAN.":[244]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-30T00:00:00"}
