{"id":"https://openalex.org/W4415342227","doi":"https://doi.org/10.1109/iccv51701.2025.02017","title":"Neuroverse3D: Developing in-Context Learning Universal Model for Neuroimaging in 3D","display_name":"Neuroverse3D: Developing in-Context Learning Universal Model for Neuroimaging in 3D","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4415342227","doi":"https://doi.org/10.1109/iccv51701.2025.02017"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51701.2025.02017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.02017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2503.02410","any_repository_has_fulltext":true},"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/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"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":"Jiesi Hu","raw_affiliation_strings":["Harbin Institute of Technology at Shenzhen,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology at Shenzhen,Shenzhen,China","institution_ids":["https://openalex.org/I158809036","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":["Peng Cheng Laboratory,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory,Shenzhen,China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029228576","display_name":"Yanwu Yang","orcid":"https://orcid.org/0000-0002-7547-4580"},"institutions":[{"id":"https://openalex.org/I143910747","display_name":"TH Bingen University of Applied Sciences","ror":"https://ror.org/01pxkj057","country_code":"DE","type":"education","lineage":["https://openalex.org/I143910747"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yanwu Yang","raw_affiliation_strings":["University Hospital T&#x00FC;bingen,T&#x00FC;bingen,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Hospital T&#x00FC;bingen,T&#x00FC;bingen,Germany","institution_ids":["https://openalex.org/I143910747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101542210","display_name":"Xutao Guo","orcid":"https://orcid.org/0000-0003-1953-3272"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"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":"Xutao Guo","raw_affiliation_strings":["Harbin Institute of Technology at Shenzhen,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology at Shenzhen,Shenzhen,China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101467055","display_name":"Yang Shang","orcid":"https://orcid.org/0000-0002-0802-7094"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"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":"Yang Shang","raw_affiliation_strings":["Harbin Institute of Technology at Shenzhen,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology at Shenzhen,Shenzhen,China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007491518","display_name":"Pengcheng Shi","orcid":"https://orcid.org/0000-0002-9463-6370"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"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":"Pengcheng Shi","raw_affiliation_strings":["Harbin Institute of Technology at Shenzhen,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology at Shenzhen,Shenzhen,China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021063919","display_name":"Chenfei Ye","orcid":"https://orcid.org/0000-0001-5265-3546"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"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 at Shenzhen,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology at Shenzhen,Shenzhen,China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101880102","display_name":"Ting Ma","orcid":"https://orcid.org/0000-0002-0420-1905"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"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":"Ting Ma","raw_affiliation_strings":["Harbin Institute of Technology at Shenzhen,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology at Shenzhen,Shenzhen,China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31215579,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"21721","last_page":"21731"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9661999940872192,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9661999940872192,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.957099974155426,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9325000047683716,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.6632000207901001},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6276999711990356},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.557200014591217},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.47609999775886536},{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.45969998836517334},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4253000020980835},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.37059998512268066},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.3619999885559082}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8043000102043152},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.6632000207901001},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6276999711990356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.597000002861023},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.557200014591217},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.47609999775886536},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4675999879837036},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.45969998836517334},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4253000020980835},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.37059998512268066},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.3619999885559082},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.35569998621940613},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.34850001335144043},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3206999897956848},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.2831999957561493},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.27900001406669617},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.27390000224113464},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2734000086784363},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.2685000002384186},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C52338299","wikidata":"https://www.wikidata.org/wiki/Q1004354","display_name":"Functional neuroimaging","level":3,"score":0.2599000036716461},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2549000084400177}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccv51701.2025.02017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.02017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2503.02410","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.02410","pdf_url":"https://arxiv.org/pdf/2503.02410","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2503.02410","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.02410","pdf_url":"https://arxiv.org/pdf/2503.02410","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In-context":[0],"learning":[1],"(ICL),":[2],"a":[3,12,99],"type":[4],"of":[5,15,33,60,72,110],"universal":[6],"model,":[7],"demonstrates":[8],"exceptional":[9],"generalization":[10],"across":[11],"wide":[13],"range":[14],"tasks":[16,76,147],"without":[17,174],"retraining":[18],"by":[19],"leveraging":[20],"task-specific":[21,165],"guidance":[22],"from":[23,137],"context,":[24],"making":[25],"it":[26,104],"particularly":[27],"effective":[28],"for":[29],"the":[30,56,85],"intricate":[31],"demands":[32,59],"neuroimaging.":[34],"However,":[35],"current":[36],"ICL":[37,69,160],"models,":[38,166],"limited":[39],"to":[40,49,51,55,105,120,170],"2D":[41],"inputs":[42,53,92],"and":[43,98,124,141,162,178],"thus":[44],"exhibiting":[45],"suboptimal":[46],"performance,":[47],"struggle":[48],"extend":[50],"3D":[52,78,91,134],"due":[54],"high":[57],"memory":[58,87],"ICL.":[61],"In":[62],"this":[63],"regard,":[64],"we":[65,114],"introduce":[66],"Neuroverse3D,":[67],"an":[68,107,116],"model":[70,179],"capable":[71],"performing":[73],"multiple":[74],"neuroimaging":[75,139],"in":[77],"(e.g.,":[79],"segmentation,":[80],"denoising,":[81],"inpainting).":[82],"Neuroverse3D":[83,143,156],"overcomes":[84],"large":[86],"consumption":[88],"associated":[89],"with":[90],"through":[93],"adaptive":[94],"parallel-sequential":[95],"context":[96,111],"processing":[97],"U-shaped":[100],"fusion":[101],"strategy,":[102],"allowing":[103],"handle":[106],"unlimited":[108],"number":[109],"images.":[112],"Additionally,":[113],"propose":[115],"optimized":[117],"loss":[118],"function":[119],"balance":[121],"multi-task":[122],"training":[123],"enhance":[125],"focus":[126],"on":[127,144],"anatomical":[128],"boundaries.":[129],"Our":[130],"study":[131],"incorporates":[132],"43,674":[133],"multi-modal":[135],"scans":[136],"19":[138],"datasets":[140],"evaluates":[142],"14":[145],"diverse":[146],"using":[148],"held-out":[149],"test":[150],"sets.":[151],"The":[152,176],"results":[153],"demonstrate":[154],"that":[155],"significantly":[157],"outperforms":[158],"existing":[159],"models":[161],"closely":[163],"matches":[164],"enabling":[167],"flexible":[168],"adaptation":[169],"medical":[171],"center":[172],"variations":[173],"retraining.":[175],"code":[177],"weights":[180],"are":[181],"publicly":[182],"available":[183],"at":[184],"https://github.com/jiesihu/Neuroverse3D.":[185]},"counts_by_year":[],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-20T00:00:00"}
