{"id":"https://openalex.org/W7126024729","doi":"https://doi.org/10.1109/bibm66473.2025.11356443","title":"AnatoMaskGAN: GNN-Driven Slice Feature Fusion and Noise Augmentation for Medical Semantic Image Synthesis","display_name":"AnatoMaskGAN: GNN-Driven Slice Feature Fusion and Noise Augmentation for Medical Semantic Image Synthesis","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126024729","doi":"https://doi.org/10.1109/bibm66473.2025.11356443"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356443","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/A5124171581","display_name":"Zonglin Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zonglin Wu","raw_affiliation_strings":["College of Computer and Information Science, Southwest University"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074492257","display_name":"Yule Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yule Xue","raw_affiliation_strings":["College of Computer and Information Science, Southwest University"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124154921","display_name":"Qianxiang Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianxiang Hu","raw_affiliation_strings":["College of Computer and Information Science, Southwest University"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086085686","display_name":"Feng Yu","orcid":"https://orcid.org/0000-0002-4745-5219"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaoyao Feng","raw_affiliation_strings":["College of Computer and Information Science, Southwest University"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120872710","display_name":"Yuqi Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqi Ma","raw_affiliation_strings":["College of Computer and Information Science, Southwest University"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124190845","display_name":"Shanxiong Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanxiong Chen","raw_affiliation_strings":["College of Computer and Information Science, Southwest University"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5124171581"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.72205769,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4269","last_page":"4274"},"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":0.7358999848365784,"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":0.7358999848365784,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.121799997985363,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.0210999995470047,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5618000030517578},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.49470001459121704},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4578000009059906},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.454800009727478},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4262000024318695},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4050999879837036},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.39430001378059387},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.3849000036716461},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3702999949455261}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7750999927520752},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7317000031471252},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5618000030517578},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.49470001459121704},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4812999963760376},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4578000009059906},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.454800009727478},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4262000024318695},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4050999879837036},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.39430001378059387},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.3849000036716461},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3702999949455261},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.3594000041484833},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.35929998755455017},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.3582000136375427},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.353300005197525},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3531999886035919},{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.3312999904155731},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.3215999901294708},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.3163999915122986},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.31529998779296875},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.31520000100135803},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.3037000000476837},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.29269999265670776},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.28439998626708984},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2750999927520752},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.25850000977516174}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356443","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2116341502","https://openalex.org/W2150534249","https://openalex.org/W2413073178","https://openalex.org/W2807888536","https://openalex.org/W2884065486","https://openalex.org/W2914057844","https://openalex.org/W2962974533","https://openalex.org/W2963073614","https://openalex.org/W3074741277","https://openalex.org/W3093407252","https://openalex.org/W3107948185","https://openalex.org/W3118910650","https://openalex.org/W3140743785","https://openalex.org/W3199674835","https://openalex.org/W4214868041","https://openalex.org/W4313148383","https://openalex.org/W4391935240","https://openalex.org/W4392643603","https://openalex.org/W4403069997"],"related_works":[],"abstract_inverted_index":{"Medical":[0],"semantic-mask":[1],"synthesis":[2],"enhances":[3],"data":[4],"augmentation":[5,38],"and":[6,40,58,91,99,109,123,146,158],"analysis,":[7],"yet":[8],"most":[9],"GAN-based":[10],"methods":[11],"still":[12],"generate":[13],"one-to-one":[14],"images":[15],"without":[16],"maintaining":[17],"spatial":[18,34,56,72,77],"consistency":[19],"across":[20],"slices.":[21],"To":[22],"overcome":[23],"this,":[24],"we":[25],"propose":[26],"AnatoMaskGAN,":[27],"a":[28,50,86,130],"novel":[29],"framework":[30],"that":[31,103,136],"embeds":[32],"interslice":[33],"features,":[35],"integrates":[36],"diverse":[37],"strategies,":[39],"optimizes":[41],"deep":[42],"feature":[43],"learning":[44],"for":[45],"complex":[46],"medical":[47],"scans.":[48],"Specifically,":[49],"GNN-based":[51],"slice-feature":[52],"fusion":[53],"module":[54],"models":[55],"relationships":[57],"aggregates":[59],"contextual":[60],"cues":[61],"from":[62],"neighboring":[63],"slices,":[64],"capturing":[65],"anatomical":[66],"structures":[67],"more":[68],"comprehensively.":[69],"A":[70],"3D":[71],"noise-injection":[73],"strategy":[74],"fuses":[75],"weighted":[76],"features":[78],"with":[79],"noise":[80],"to":[81],"enrich":[82],"structural":[83],"diversity,":[84],"while":[85],"grayscale-texture":[87],"classifier":[88],"refines":[89],"grayscale":[90],"texture":[92],"representation":[93],"during":[94],"generation.":[95],"Experiments":[96],"on":[97,112,127],"L2R-OASIS":[98],"L2R-Abdomen":[100,128],"CT":[101],"show":[102],"AnatoMaskGAN":[104],"achieves":[105],"26.50":[106],"dB":[107],"PSNR":[108],"0.9229":[110],"SSIM":[111,126],"L2R-OASIS,":[113],"surpassing":[114],"the":[115,118,140,149],"state":[116],"of":[117,139,151],"art":[119],"by":[120],"0.43":[121],"dB,":[122],"reaches":[124],"0.8602":[125],"CT,":[129],"0.48-point":[131],"improvement.":[132],"Ablation":[133],"studies":[134],"confirm":[135],"removing":[137],"any":[138],"three":[141],"modules":[142],"degrades":[143],"PSNR,":[144],"SSIM,":[145],"LPIPS,":[147],"verifying":[148],"effectiveness":[150],"each":[152],"component":[153],"in":[154],"enhancing":[155],"reconstruction":[156],"fidelity":[157],"perceptual":[159],"quality.":[160],"Code":[161],"is":[162],"available":[163],"at":[164],"https://github.com/noheadwuzonglin/AnatoMaskGAN.":[165]},"counts_by_year":[],"updated_date":"2026-02-01T03:34:12.195049","created_date":"2026-01-30T00:00:00"}
