{"id":"https://openalex.org/W7138336662","doi":"https://doi.org/10.1609/aaai.v40i6.42490","title":"Medverse: A Universal Model for Full-Resolution 3D Medical Image Segmentation, Transformation and Enhancement","display_name":"Medverse: A Universal Model for Full-Resolution 3D Medical Image Segmentation, Transformation and Enhancement","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138336662","doi":"https://doi.org/10.1609/aaai.v40i6.42490"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v40i6.42490","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i6.42490","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/42490/46451","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/42490/46451","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069670820","display_name":"Jiesi Hu","orcid":"https://orcid.org/0000-0001-6256-2082"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiesi Hu","raw_affiliation_strings":["Harbin Institute of Technology (Shenzhen)\nPengcheng Loboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology (Shenzhen)\nPengcheng Loboratory","institution_ids":["https://openalex.org/I204983213","https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5146898585","display_name":"Jianfeng Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Cao","raw_affiliation_strings":["Harbin Institute of Technology (Shenzhen)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology (Shenzhen)","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129666458","display_name":"Yanwu Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125796","display_name":"University Children's Hospital T\u00fcbingen","ror":"https://ror.org/03esvmb28","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4210094118","https://openalex.org/I4210125796"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yanwu Yang","raw_affiliation_strings":["University Hospital T\u00fcbingen\nGerman Center for Mental Health"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Hospital T\u00fcbingen\nGerman Center for Mental Health","institution_ids":["https://openalex.org/I4210125796"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129748495","display_name":"Chenfei Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenfei Ye","raw_affiliation_strings":["Harbin Institute of Technology (Shenzhen)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology (Shenzhen)","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129739844","display_name":"Yixuan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixuan Zhang","raw_affiliation_strings":["Harbin Institute of Technology (Shenzhen)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology (Shenzhen)","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006711084","display_name":"Hanyang Peng","orcid":"https://orcid.org/0000-0002-9715-473X"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanyang Peng","raw_affiliation_strings":["Pengcheng Loboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pengcheng Loboratory","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129696523","display_name":"Ting Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Ma","raw_affiliation_strings":["Harbin Institute of Technology (Shenzhen)\nPengcheng Loboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology (Shenzhen)\nPengcheng Loboratory","institution_ids":["https://openalex.org/I204983213","https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20690643,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"6","first_page":"4869","last_page":"4877"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.3059000074863434,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.3059000074863434,"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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.10890000313520432,"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"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.1023000031709671,"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/medical-imaging","display_name":"Medical imaging","score":0.6460000276565552},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5627999901771545},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5051000118255615},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5013999938964844},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45410001277923584},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4185999929904938},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.40540000796318054}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7544999718666077},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.6460000276565552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.640999972820282},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5627999901771545},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5051000118255615},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5013999938964844},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45410001277923584},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4334999918937683},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4185999929904938},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.40540000796318054},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.38190001249313354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3725000023841858},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.367900013923645},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33970001339912415},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2808000147342682},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.25600001215934753},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.25}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v40i6.42490","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i6.42490","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/42490/46451","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/42490","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/42490","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i6.42490","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i6.42490","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/42490/46451","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4090568348","display_name":null,"funder_award_id":"2023A1515010792","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320317967","display_name":"International Max Planck Research School for Environmental, Cellular and Molecular Microbiology","ror":null},{"id":"https://openalex.org/F4320321940","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08"},{"id":"https://openalex.org/F4320327553","display_name":"International Max Planck Research School for Advanced Methods in Process and Systems Engineering","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7138336662.pdf","grobid_xml":"https://content.openalex.org/works/W7138336662.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In-context":[0],"learning":[1,117],"(ICL)":[2],"offers":[3],"a":[4,65,81,113,140,165,192],"promising":[5],"paradigm":[6,194],"for":[7,26,85,195],"universal":[8,82,97],"medical":[9,27,54,73,87],"image":[10,17,98],"analysis,":[11],"enabling":[12,133],"models":[13,25],"to":[14,125],"perform":[15],"diverse":[16,53,94],"processing":[18],"tasks":[19,56,95],"without":[20],"retraining.":[21],"However,":[22],"current":[23],"ICL":[24,71,83,188],"imaging":[28,55,74,106,179],"remain":[29],"limited":[30],"in":[31,72,96],"two":[32],"critical":[33],"aspects:":[34],"they":[35],"cannot":[36],"simultaneously":[37],"achieve":[38],"high-fidelity":[39],"predictions":[40,122],"and":[41,45,59,61,101,108,132,150,178,190],"global":[42],"anatomical":[43,62,135],"understanding,":[44],"there":[46],"is":[47,161],"no":[48],"unified":[49],"model":[50,84],"trained":[51,89],"across":[52,103],"(e.g.,":[57],"segmentation":[58],"enhancement)":[60],"regions.":[63],"As":[64],"result,":[66],"the":[67],"full":[68],"potential":[69],"of":[70,168],"remains":[75],"underexplored.":[76],"Thus,":[77],"we":[78],"present":[79],"Medverse,":[80],"3D":[86],"imaging,":[88],"on":[90,164],"22":[91],"datasets":[92,170],"covering":[93,171],"segmentation,":[99],"transformation,":[100],"enhancement":[102],"multiple":[104],"organs,":[105,176],"modalities,":[107],"clinical":[109,174],"centers.":[110],"Medverse":[111,160,184],"employs":[112],"next-scale":[114],"autoregressive":[115],"in-context":[116,196],"framework":[118],"that":[119,144,183],"progressively":[120],"refines":[121],"from":[123],"coarse":[124],"fine,":[126],"generating":[127],"consistent,":[128],"full-resolution":[129],"volumetric":[130],"outputs":[131],"multi-scale":[134],"awareness.":[136],"We":[137],"further":[138],"propose":[139],"blockwise":[141],"cross-attention":[142],"module":[143],"facilitates":[145],"long-range":[146],"interactions":[147],"between":[148],"context":[149],"target":[151],"inputs":[152],"while":[153],"preserving":[154],"computational":[155],"efficiency":[156],"through":[157],"spatial":[158],"sparsity.":[159],"extensively":[162],"evaluated":[163],"broad":[166],"collection":[167],"held-out":[169],"previously":[172],"unseen":[173],"centers,":[175],"species,":[177],"modalities.":[180],"Results":[181],"demonstrate":[182],"substantially":[185],"outperforms":[186],"existing":[187],"baselines":[189],"establishes":[191],"novel":[193],"learning.":[197]},"counts_by_year":[],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2026-03-18T00:00:00"}
