{"id":"https://openalex.org/W7214722756","doi":"https://doi.org/10.64898/2026.09.28.755033","title":"AC-Diff: Anatomy\u2013Contrast Disentangled Diffusion for Multi-Vendor Liver MRI Harmonization","display_name":"AC-Diff: Anatomy\u2013Contrast Disentangled Diffusion for Multi-Vendor Liver MRI Harmonization","publication_year":2026,"publication_date":"2026-09-29","ids":{"openalex":"https://openalex.org/W7214722756","doi":"https://doi.org/10.64898/2026.09.28.755033"},"language":"en","primary_location":{"id":"doi:10.64898/2026.09.28.755033","doi":"https://doi.org/10.64898/2026.09.28.755033","is_oa":true,"landing_page_url":"https://doi.org/10.64898/2026.09.28.755033","pdf_url":"https://www.biorxiv.org/content/biorxiv/early/2026/09/29/2026.09.28.755033.full.pdf","source":{"id":"https://openalex.org/S4306402567","display_name":"bioRxiv (Cold Spring Harbor Laboratory)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2750212522","host_organization_name":"Cold Spring Harbor Laboratory","host_organization_lineage":["https://openalex.org/I2750212522"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"bioRxiv","raw_type":"posted-content"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.biorxiv.org/content/biorxiv/early/2026/09/29/2026.09.28.755033.full.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011392592","display_name":"Hansen Feng","orcid":"https://orcid.org/0000-0003-3045-2772","observed_orcids":["https://orcid.org/0000-0003-3045-2772"]},"institutions":[{"id":"https://openalex.org/I4405263052","display_name":"Tsinghua Shenzhen International Graduate School","ror":"https://ror.org/01vceef04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405263052","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Hansen Feng","raw_affiliation_strings":["McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston","Tsinghua Shenzhen International Graduate School, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston","institution_ids":["https://openalex.org/I919571938"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University","institution_ids":["https://openalex.org/I4405263052","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047204069","display_name":"Haotian Dang","orcid":"https://orcid.org/0000-0002-1406-2953","observed_orcids":["https://orcid.org/0000-0002-1406-2953"]},"institutions":[{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haotian Dang","raw_affiliation_strings":["McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston","institution_ids":["https://openalex.org/I919571938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063804447","display_name":"Lei You","orcid":"https://orcid.org/0000-0003-2293-4069","observed_orcids":["https://orcid.org/0000-0003-2293-4069"]},"institutions":[{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei You","raw_affiliation_strings":["McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston","institution_ids":["https://openalex.org/I919571938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136149226","display_name":"Hongyu Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongyu Wang","raw_affiliation_strings":["McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston","institution_ids":["https://openalex.org/I919571938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5153413224","display_name":"Xiaobo zhou","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaobo Zhou","raw_affiliation_strings":["McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston","institution_ids":["https://openalex.org/I919571938"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5153413224"],"corresponding_institution_ids":["https://openalex.org/I919571938"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.6190999746322632,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.6190999746322632,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.2556000053882599,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.051600001752376556,"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/mri-harmonization","display_name":"MRI harmonization","score":0.9750000238418579},{"id":"https://openalex.org/keywords/diffusion-models","display_name":"diffusion models","score":0.824999988079071},{"id":"https://openalex.org/keywords/latent-diffusion-models","display_name":"latent diffusion models","score":0.5429999828338623},{"id":"https://openalex.org/keywords/liver-segmentation","display_name":"liver segmentation","score":0.9309999942779541}],"concepts":[{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.5871999859809875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5863999724388123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5771999955177307},{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.553600013256073},{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.46790000796318054},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46700000762939453},{"id":"https://openalex.org/C2779962950","wikidata":"https://www.wikidata.org/wiki/Q5659376","display_name":"Harmonization","level":2,"score":0.4465000033378601},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.439300000667572},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4235999882221222},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40869998931884766},{"id":"https://openalex.org/C157787499","wikidata":"https://www.wikidata.org/wiki/Q13479657","display_name":"Real-time MRI","level":3,"score":0.4034000039100647},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.39640000462532043},{"id":"https://openalex.org/C2994599478","wikidata":"https://www.wikidata.org/wiki/Q9368","display_name":"Liver parenchyma","level":2,"score":0.39089998602867126},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3799000084400177},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.3612000048160553},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.3384000062942505},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33799999952316284},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.337799996137619},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.3203999996185303},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3025999963283539},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.2946000099182129},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.28029999136924744},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.2671999931335449},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.2648000121116638},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.263700008392334},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.262800008058548},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.25209999084472656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.64898/2026.09.28.755033","doi":"https://doi.org/10.64898/2026.09.28.755033","is_oa":true,"landing_page_url":"https://doi.org/10.64898/2026.09.28.755033","pdf_url":"https://www.biorxiv.org/content/biorxiv/early/2026/09/29/2026.09.28.755033.full.pdf","source":{"id":"https://openalex.org/S4306402567","display_name":"bioRxiv (Cold Spring Harbor Laboratory)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2750212522","host_organization_name":"Cold Spring Harbor Laboratory","host_organization_lineage":["https://openalex.org/I2750212522"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"bioRxiv","raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.64898/2026.09.28.755033","doi":"https://doi.org/10.64898/2026.09.28.755033","is_oa":true,"landing_page_url":"https://doi.org/10.64898/2026.09.28.755033","pdf_url":"https://www.biorxiv.org/content/biorxiv/early/2026/09/29/2026.09.28.755033.full.pdf","source":{"id":"https://openalex.org/S4306402567","display_name":"bioRxiv (Cold Spring Harbor Laboratory)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2750212522","host_organization_name":"Cold Spring Harbor Laboratory","host_organization_lineage":["https://openalex.org/I2750212522"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"bioRxiv","raw_type":"posted-content"},"sustainable_development_goals":[{"score":0.46810001134872437,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G1838953251","display_name":"An integrated imaging informatics platform for HCC surveillance","funder_award_id":"RP250043","funder_id":"https://openalex.org/F4320308129","funder_display_name":"Cancer Prevention and Research Institute of Texas"}],"funders":[{"id":"https://openalex.org/F4320308129","display_name":"Cancer Prevention and Research Institute of Texas","ror":"https://ror.org/0003xa228"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7214722756.pdf","grobid_xml":"https://content.openalex.org/works/W7214722756.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W2936596052","https://openalex.org/W2950030754","https://openalex.org/W2950086191","https://openalex.org/W2961602927","https://openalex.org/W3034600949","https://openalex.org/W3089660604","https://openalex.org/W3115055674","https://openalex.org/W3197863729","https://openalex.org/W3199619903","https://openalex.org/W4312933868","https://openalex.org/W4366494274","https://openalex.org/W4385814309","https://openalex.org/W4386591605","https://openalex.org/W4390616981","https://openalex.org/W4390873030","https://openalex.org/W4407080228","https://openalex.org/W4407677889","https://openalex.org/W4414314524","https://openalex.org/W4415992283"],"related_works":["https://openalex.org/W4414314524","https://openalex.org/W4327666302","https://openalex.org/W7214311917","https://openalex.org/W4282984345","https://openalex.org/W4415992283","https://openalex.org/W7202098756","https://openalex.org/W4385814309","https://openalex.org/W4405139155","https://openalex.org/W4401832852","https://openalex.org/W6950706611"],"abstract_inverted_index":{"Abstract":[0],"Magnetic":[1],"resonance":[2],"imaging":[3],"(MRI)":[4],"exhibits":[5],"substantial":[6],"scanner":[7],"and":[8,46,79,91],"protocol":[9],"dependent":[10],"appearance":[11],"variations,":[12],"making":[13],"harmonization":[14,36],"challenging":[15],"without":[16],"distorting":[17],"patient":[18],"specific":[19],"anatomy,":[20],"particularly":[21],"in":[22],"abdominal":[23],"imaging.":[24],"We":[25],"propose":[26],"AC-Diff,":[27],"an":[28,87],"anatomy\u2013contrast":[29],"disentangled":[30],"diffusion":[31,78],"framework":[32],"that":[33],"formulates":[34],"MRI":[35,96,137],"as":[37,131],"a":[38,132],"factor-specific":[39],"generative":[40],"intervention.":[41],"Using":[42],"aligned":[43],"multi-contrast":[44],"supervision":[45],"cross-patient":[47],"factor":[48],"swapping,":[49],"AC-Diff":[50,65,110],"learns":[51],"to":[52,69,119,135],"separate":[53],"anatomical":[54],"structure":[55],"from":[56,113],"acquisition-dependent":[57],"contrast.":[58],"Unlike":[59],"conventional":[60],"image":[61],"or":[62],"latent":[63,129],"diffusion,":[64],"restricts":[66],"stochastic":[67],"generation":[68,130],"the":[70,74,92,116,122],"contrast":[71],"subspace":[72],"while":[73],"source":[75],"anatomy":[76],"bypasses":[77],"is":[80],"directly":[81],"reused":[82],"during":[83],"reconstruction.":[84],"Experiments":[85],"on":[86],"in-house":[88],"multi-vendor":[89],"cohort":[90],"external":[93],"Duke":[94],"Liver":[95],"dataset":[97],"demonstrate":[98],"improved":[99],"target-domain":[100],"alignment":[101],"with":[102],"strong":[103],"structural":[104],"preservation.":[105],"In":[106],"downstream":[107],"liver":[108],"segmentation,":[109],"improves":[111],"Dice":[112],"0.942":[114],"for":[115,121],"original":[117],"inputs":[118],"0.954":[120],"harmonized":[123],"images.":[124],"These":[125],"results":[126],"support":[127],"contrast-specific":[128],"promising":[133],"approach":[134],"anatomy-preserving":[136],"harmonization.":[138]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-09-30T00:00:00"}