{"id":"https://openalex.org/W7125910072","doi":"https://doi.org/10.1109/smc58881.2025.11343065","title":"A Dual-Branch Unsupervised Network with Wavelet Transform and Style Consistency for CT to MRI Image Generation <sup>*</sup>","display_name":"A Dual-Branch Unsupervised Network with Wavelet Transform and Style Consistency for CT to MRI Image Generation <sup>*</sup>","publication_year":2025,"publication_date":"2025-10-05","ids":{"openalex":"https://openalex.org/W7125910072","doi":"https://doi.org/10.1109/smc58881.2025.11343065"},"language":null,"primary_location":{"id":"doi:10.1109/smc58881.2025.11343065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343065","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 Systems, Man, and Cybernetics (SMC)","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/A5115594547","display_name":"Shuyue Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuyue Zhang","raw_affiliation_strings":["University of Shanghai for Science and Technology,Institute of Optical-Electrical and Computer Engineering,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"University of Shanghai for Science and Technology,Institute of Optical-Electrical and Computer Engineering,Shanghai,China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124147879","display_name":"Chaoli Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoli Wang","raw_affiliation_strings":["University of Shanghai for Science and Technology,Institute of Optical-Electrical and Computer Engineering,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"University of Shanghai for Science and Technology,Institute of Optical-Electrical and Computer Engineering,Shanghai,China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080158846","display_name":"Zhanquan Sun","orcid":"https://orcid.org/0000-0002-6911-6437"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanquan Sun","raw_affiliation_strings":["University of Shanghai for Science and Technology,Institute of Optical-Electrical and Computer Engineering,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"University of Shanghai for Science and Technology,Institute of Optical-Electrical and Computer Engineering,Shanghai,China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124101546","display_name":"Xiaochen Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiaochen Feng","raw_affiliation_strings":["Artificial Intelligence Imaging, The First Affiliated Hospital of Naval Medical University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Imaging, The First Affiliated Hospital of Naval Medical University,Shanghai,China","institution_ids":["https://openalex.org/I4210164862"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100419861","display_name":"Yong Zhang","orcid":"https://orcid.org/0000-0003-2179-3698"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaying Zhang","raw_affiliation_strings":["Shanghai Fourth People's Hospital Affiliated to Tongji University,Cerebral Apoplexy and Artificial Intelligence Imaging,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Fourth People's Hospital Affiliated to Tongji University,Cerebral Apoplexy and Artificial Intelligence Imaging,Shanghai,China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5115594547"],"corresponding_institution_ids":["https://openalex.org/I148128674"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.71400932,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1894","last_page":"1899"},"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":0.9596999883651733,"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":0.9596999883651733,"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/T11019","display_name":"Image Enhancement Techniques","score":0.01080000028014183,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.002400000113993883,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.6383000016212463},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5838000178337097},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5303000211715698},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5160999894142151},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47380000352859497},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43860000371932983},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4081999957561493},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.38690000772476196}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7836999893188477},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7267000079154968},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6383000016212463},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5838000178337097},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5303000211715698},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5160999894142151},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47380000352859497},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43860000371932983},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4081999957561493},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.38690000772476196},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.36800000071525574},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.3589000105857849},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.34769999980926514},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31610000133514404},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3140999972820282},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.3093000054359436},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.2913999855518341},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.28870001435279846},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.25850000977516174},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.25450000166893005},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.2538999915122986},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc58881.2025.11343065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343065","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 Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","score":0.4742136597633362,"id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1974741599","https://openalex.org/W2607711656","https://openalex.org/W2741196023","https://openalex.org/W2745006834","https://openalex.org/W2749212728","https://openalex.org/W2962784654","https://openalex.org/W2962793481","https://openalex.org/W2962891897","https://openalex.org/W2963073614","https://openalex.org/W2963111219","https://openalex.org/W2963494934","https://openalex.org/W2963890275","https://openalex.org/W3007632139","https://openalex.org/W3048439504","https://openalex.org/W3136541198","https://openalex.org/W3196878101","https://openalex.org/W3208983592","https://openalex.org/W3212516020","https://openalex.org/W4240805545","https://openalex.org/W4379202866","https://openalex.org/W4379649695","https://openalex.org/W4382372079","https://openalex.org/W4391957952","https://openalex.org/W4399074845"],"related_works":[],"abstract_inverted_index":{"Medical":[0],"image":[1,29,94],"generation":[2,30],"plays":[3],"an":[4],"important":[5],"role":[6],"in":[7,11,123,174],"clinical":[8,166,185],"applications,":[9],"particularly":[10],"modality":[12],"translation":[13],"tasks":[14],"such":[15],"as":[16],"CT-to-MRI":[17],"synthesis.":[18],"Compared":[19],"with":[20,158],"supervised":[21],"methods":[22,43,173],"that":[23,142,169],"rely":[24],"on":[25,162],"paired":[26],"datasets,":[27],"unsupervised":[28,42],"is":[31,89,121,131],"more":[32],"practical":[33],"due":[34],"to":[35,91,112,135],"its":[36],"lower":[37],"data":[38],"requirements.":[39],"However,":[40],"existing":[41,172],"often":[44],"suffer":[45],"from":[46],"insufficient":[47],"high-frequency":[48,99],"detail":[49,100,175],"preservation":[50,176],"and":[51,98,109,127,153,165,177],"poor":[52],"style":[53,125,129,137,178],"consistency.":[54,138],"Although":[55],"wavelet":[56,87],"transform":[57],"offers":[58],"promising":[59],"multi-scale":[60,117],"representation":[61],"capabilities,":[62],"effectively":[63],"integrating":[64],"it":[65],"into":[66,95],"deep":[67],"generative":[68],"models":[69],"remains":[70],"challenging.":[71],"To":[72],"address":[73],"these":[74],"issues,":[75],"we":[76],"propose":[77],"WDS-Net":[78,143,170],"(Wavelet-based":[79],"Dual-branch":[80],"Style-consistent":[81],"Network).":[82],"In":[83],"the":[84,93,124],"content":[85,114],"encoder,":[86,126],"decomposition":[88],"used":[90],"separate":[92],"low-frequency":[96],"structural":[97],"components,":[101],"which":[102],"are":[103],"processed":[104],"through":[105],"a":[106],"dual-branch":[107],"architecture":[108],"then":[110],"fused":[111],"enhance":[113],"representation.":[115],"A":[116],"feature":[118],"extraction":[119],"mechanism":[120],"employed":[122],"layer-wise":[128],"injection":[130],"applied":[132],"during":[133],"decoding":[134],"improve":[136],"Experimental":[139],"results":[140],"demonstrate":[141],"can":[144],"generate":[145],"high-quality":[146],"MRI":[147],"images":[148],"under":[149],"unpaired":[150],"training":[151],"conditions":[152],"achieves":[154],"robust":[155],"performance":[156],"even":[157],"limited":[159],"data.":[160],"Evaluations":[161],"both":[163],"public":[164],"datasets":[167],"confirm":[168],"outperforms":[171],"consistency,":[179],"showing":[180],"strong":[181],"potential":[182],"for":[183],"real-world":[184],"applications.":[186]},"counts_by_year":[],"updated_date":"2026-01-29T23:17:01.242718","created_date":"2026-01-29T00:00:00"}
