{"id":"https://openalex.org/W7131622629","doi":"https://doi.org/10.1007/s11263-026-02789-0","title":"Generative Enhancement for 3D Medical Images","display_name":"Generative Enhancement for 3D Medical Images","publication_year":2026,"publication_date":"2026-02-26","ids":{"openalex":"https://openalex.org/W7131622629","doi":"https://doi.org/10.1007/s11263-026-02789-0"},"language":"en","primary_location":{"id":"doi:10.1007/s11263-026-02789-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-026-02789-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-026-02789-0.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11263-026-02789-0.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126938781","display_name":"Lingting Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lingting Zhu","raw_affiliation_strings":["The University of Hong Kong, Hong Kong SAR, China"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126940982","display_name":"Noel Codella","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Noel Codella","raw_affiliation_strings":["Microsoft, Washington, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Washington, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126909651","display_name":"Dongdong Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dongdong Chen","raw_affiliation_strings":["Microsoft, Washington, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Washington, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126865913","display_name":"Zhenchao Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhenchao Jin","raw_affiliation_strings":["The University of Hong Kong, Hong Kong SAR, China"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126893534","display_name":"Lu Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lu Yuan","raw_affiliation_strings":["Microsoft, Washington, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Washington, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121584940","display_name":"Lequan Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Lequan Yu","raw_affiliation_strings":["The University of Hong Kong, Hong Kong SAR, China"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5121584940"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":{"value":2890,"currency":"EUR","value_usd":3690},"apc_paid":{"value":2890,"currency":"EUR","value_usd":3690},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.62281141,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"134","issue":"3","first_page":null,"last_page":null},"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":0.5001000165939331,"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":0.5001000165939331,"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":0.05299999937415123,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.052799999713897705,"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/segmentation","display_name":"Segmentation","score":0.5103999972343445},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5070000290870667},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48510000109672546},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.48030000925064087},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.46299999952316284},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4474000036716461},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.43959999084472656},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4293999969959259}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7645999789237976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.675599992275238},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5422999858856201},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5103999972343445},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5070000290870667},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48510000109672546},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.48030000925064087},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.46299999952316284},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4474000036716461},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.43959999084472656},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4293999969959259},{"id":"https://openalex.org/C2989087649","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Image synthesis","level":3,"score":0.4214000105857849},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.39399999380111694},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33090001344680786},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.32899999618530273},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2913999855518341},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2842999994754791},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.26660001277923584},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.26269999146461487}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11263-026-02789-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-026-02789-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-026-02789-0.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11263-026-02789-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-026-02789-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-026-02789-0.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1477544716","display_name":null,"funder_award_id":"Guangdong","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6740839966","display_name":null,"funder_award_id":"62201483","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7131622629.pdf","grobid_xml":"https://content.openalex.org/works/W7131622629.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W1641498739","https://openalex.org/W1901129140","https://openalex.org/W2098979973","https://openalex.org/W2127890285","https://openalex.org/W2194775991","https://openalex.org/W2531409750","https://openalex.org/W2795889831","https://openalex.org/W2806118840","https://openalex.org/W2890139949","https://openalex.org/W2962785568","https://openalex.org/W2963073614","https://openalex.org/W2979808915","https://openalex.org/W2982587597","https://openalex.org/W3014974815","https://openalex.org/W3083622693","https://openalex.org/W3167788848","https://openalex.org/W3172681723","https://openalex.org/W3180355996","https://openalex.org/W3183302989","https://openalex.org/W3203233031","https://openalex.org/W3204364267","https://openalex.org/W4212875960","https://openalex.org/W4283698495","https://openalex.org/W4288068240","https://openalex.org/W4312497550","https://openalex.org/W4312749295","https://openalex.org/W4312933868","https://openalex.org/W4313186194","https://openalex.org/W4319866177","https://openalex.org/W4372336638","https://openalex.org/W4386065887","https://openalex.org/W4386071957","https://openalex.org/W4386072096","https://openalex.org/W4386075819","https://openalex.org/W4386076215","https://openalex.org/W4386076613","https://openalex.org/W4387211424","https://openalex.org/W4387211647","https://openalex.org/W4387226001","https://openalex.org/W4387226011","https://openalex.org/W4390872876","https://openalex.org/W4390873054","https://openalex.org/W4393148714","https://openalex.org/W4402716265","https://openalex.org/W4403906510","https://openalex.org/W4405822262","https://openalex.org/W4409248232","https://openalex.org/W4412396034"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"The":[1,188],"limited":[2],"availability":[3],"of":[4,25,67,74,170],"3D":[5,34,46,68,105,111,131,173],"medical":[6,26,35,69,112,174],"image":[7,36,149],"datasets,":[8],"due":[9,38],"to":[10,39,50,64,93],"privacy":[11],"concerns":[12],"and":[13,44,71,98,117,151,161],"high":[14],"collection":[15],"or":[16],"annotation":[17],"costs,":[18],"poses":[19],"significant":[20],"challenges":[21],"in":[22,41],"the":[23,65,72,90,95,100,110,138],"field":[24],"imaging.":[27],"There":[28],"are":[29],"few":[30],"solutions":[31],"for":[32,128,183],"realistic":[33],"synthesis":[37,66,150],"difficulties":[40],"backbone":[42],"design":[43],"fewer":[45],"training":[47],"samples":[48],"compared":[49],"2D":[51,86],"counterparts.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56],"propose":[57],"GEM-3D":[58,121,144,167],",":[59],"a":[60,85,104,123,180],"novel":[61],"generative":[62],"approach":[63],"images":[70,113,132,164,175],"enhancement":[73,185],"existing":[75,134],"datasets":[76],"using":[77,103],"conditional":[78],"diffusion":[79],"models.":[80],"Our":[81],"method":[82],"begins":[83],"with":[84,154,176],"slice,":[87],"noted":[88],"as":[89,137],"informed":[91,139],"slice":[92,140],"serve":[94],"patient":[96,118],"prior,":[97],"propagates":[99],"generation":[101],"process":[102],"segmentation":[106],"mask.":[107],"By":[108],"decomposing":[109],"into":[114],"editable":[115],"masks":[116],"prior":[119],"information,":[120,143],"offers":[122],"flexible":[124],"yet":[125],"effective":[126],"solution":[127,182],"generating":[129],"versatile":[130],"from":[133],"datasets.":[135],"Moreover,":[136],"contains":[141],"patient-wise":[142],"can":[145],"also":[146],"facilitate":[147],"counterfactual":[148],"dataset-level":[152],"de-enhancement":[153],"desired":[155],"control.":[156],"Experiments":[157],"on":[158],"brain":[159],"MRI":[160],"abdomen":[162],"CT":[163],"demonstrate":[165],"that":[166],"is":[168,190],"capable":[169],"synthesizing":[171],"high-quality":[172],"volumetric":[177],"consistency,":[178],"offering":[179],"straightforward":[181],"dataset":[184],"during":[186],"inference.":[187],"code":[189],"available":[191],"at":[192],"https://github.com/HKU-MedAI/GEM-3D":[193],".":[194]},"counts_by_year":[],"updated_date":"2026-03-22T08:09:32.410652","created_date":"2026-02-27T00:00:00"}