{"id":"https://openalex.org/W4414969197","doi":"https://doi.org/10.1109/wacv61042.2026.00809","title":"DuPLUS: Dual-Prompt Vision-Language Framework for Universal Medical Image Segmentation and Prognosis","display_name":"DuPLUS: Dual-Prompt Vision-Language Framework for Universal Medical Image Segmentation and Prognosis","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W4414969197","doi":"https://doi.org/10.1109/wacv61042.2026.00809"},"language":"en","primary_location":{"id":"doi:10.1109/wacv61042.2026.00809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2510.03483","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080370771","display_name":"Numan Saeed","orcid":"https://orcid.org/0000-0002-6326-6434"},"institutions":[{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Numan Saeed","raw_affiliation_strings":["Mohamed Bin Zayed University of Artificial Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mohamed Bin Zayed University of Artificial Intelligence","institution_ids":["https://openalex.org/I4210113480"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tausifa Jan Saleem","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Tausifa Jan Saleem","raw_affiliation_strings":["Mohamed Bin Zayed University of Artificial Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mohamed Bin Zayed University of Artificial Intelligence","institution_ids":["https://openalex.org/I4210113480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086883301","display_name":"Fadillah Adamsyah Maani","orcid":"https://orcid.org/0000-0001-5927-7782"},"institutions":[{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Fadillah Maani","raw_affiliation_strings":["Mohamed Bin Zayed University of Artificial Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mohamed Bin Zayed University of Artificial Intelligence","institution_ids":["https://openalex.org/I4210113480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073495877","display_name":"Muhammad Ridzuan","orcid":"https://orcid.org/0000-0003-0935-8466"},"institutions":[{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Muhammad Ridzuan","raw_affiliation_strings":["Mohamed Bin Zayed University of Artificial Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mohamed Bin Zayed University of Artificial Intelligence","institution_ids":["https://openalex.org/I4210113480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101516902","display_name":"Hu Wang","orcid":"https://orcid.org/0000-0003-1725-873X"},"institutions":[{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Hu Wang","raw_affiliation_strings":["Mohamed Bin Zayed University of Artificial Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mohamed Bin Zayed University of Artificial Intelligence","institution_ids":["https://openalex.org/I4210113480"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088282276","display_name":"Mohammad Yaqub","orcid":"https://orcid.org/0000-0001-6896-1105"},"institutions":[{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Mohammad Yaqub","raw_affiliation_strings":["Mohamed Bin Zayed University of Artificial Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mohamed Bin Zayed University of Artificial Intelligence","institution_ids":["https://openalex.org/I4210113480"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210113480"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.002,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8386","last_page":"8395"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.8826000094413757,"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"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.8826000094413757,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.8758000135421753,"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/T10862","display_name":"AI in cancer detection","score":0.8744000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.6951000094413757},{"id":"https://openalex.org/keywords/extensibility","display_name":"Extensibility","score":0.5741999745368958},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5062000155448914},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4982999861240387},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4896000027656555},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.42149999737739563},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4131999909877777},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4108000099658966}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7754999995231628},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.6951000094413757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6014999747276306},{"id":"https://openalex.org/C32833848","wikidata":"https://www.wikidata.org/wiki/Q4115054","display_name":"Extensibility","level":2,"score":0.5741999745368958},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5062000155448914},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4982999861240387},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4896000027656555},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4634000062942505},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.42149999737739563},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4131999909877777},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4108000099658966},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.397599995136261},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3806999921798706},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.36899998784065247},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3467999994754791},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3441999852657318},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.33559998869895935},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.3019999861717224},{"id":"https://openalex.org/C2993312423","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medical practice","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2535000145435333},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2533000111579895}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/wacv61042.2026.00809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2510.03483","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.03483","pdf_url":"https://arxiv.org/pdf/2510.03483","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"},{"id":"doi:10.48550/arxiv.2510.03483","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2510.03483","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2510.03483","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.03483","pdf_url":"https://arxiv.org/pdf/2510.03483","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Deep":[0],"learning":[1,38],"for":[2,40,57,145,186,192],"medical":[3,26,43,76,105,187],"imaging":[4,99],"is":[5,93,195],"hampered":[6],"by":[7,85,136],"task-specific":[8,119],"models":[9,122],"that":[10,52],"lack":[11],"generalizability":[12],"and":[13,24,112,120,148,152,172,182],"prognostic":[14],"capabilities,":[15],"while":[16],"existing":[17],"\u2019universal\u2019":[18],"approaches":[19],"suffer":[20],"from":[21,174],"simplistic":[22],"conditioning":[23],"poor":[25],"semantic":[27,55],"understanding.":[28],"To":[29,71],"address":[30],"these":[31],"limitations,":[32],"we":[33],"introduce":[34],"DuPLUS,":[35],"a":[36,48,64,80,86,150,158,180],"deep":[37],"framework":[39,51],"efficient":[41],"multimodal":[42],"image":[44,188],"analysis.":[45,189],"DuPLUS":[46,92,156,178],"introduces":[47],"novel":[49],"vision-language":[50],"leverages":[53],"hierarchical":[54],"prompts":[56],"fine-grained":[58],"control":[59],"over":[60],"the":[61,117],"analysis":[62],"task,":[63],"capability":[65],"absent":[66],"in":[67],"prior":[68],"universal":[69,121],"models.":[70],"enable":[72],"extensibility":[73,131],"to":[74,95,169],"other":[75],"tasks,":[77],"it":[78],"includes":[79],"hierarchical,":[81],"text-controlled":[82,134],"architecture":[83,135],"driven":[84],"unique":[87],"dual-prompt":[88],"mechanism.":[89],"For":[90],"segmentation,":[91],"able":[94],"generalize":[96],"across":[97],"three":[98],"modalities,":[100],"ten":[101],"different":[102],"anatomically":[103],"various":[104],"datasets,":[106],"encompassing":[107],"more":[108],"than":[109],"30":[110],"organs":[111],"tumor":[113],"types.":[114],"It":[115],"outperforms":[116],"state-of-the-art":[118],"on":[123,149],"8":[124],"out":[125],"of":[126,132,139,162],"10":[127],"datasets.":[128],"We":[129],"demonstrate":[130],"its":[133],"seamless":[137],"integration":[138],"electronic":[140],"health":[141],"record":[142],"(EHR)":[143],"data":[144],"prognosis":[146],"prediction,":[147],"head":[151],"neck":[153],"cancer":[154],"dataset,":[155],"achieved":[157],"Concordance":[159],"Index":[160],"(CI)":[161],"0.69.":[163],"Parameter-efficient":[164],"fine-tuning":[165],"enables":[166],"rapid":[167],"adaptation":[168],"new":[170],"tasks":[171],"modalities":[173],"varying":[175],"centers,":[176],"establishing":[177],"as":[179],"versatile":[181],"clinically":[183],"relevant":[184],"solution":[185],"The":[190],"code":[191],"this":[193],"work":[194],"made":[196],"available":[197],"at:":[198],"Code":[199]},"counts_by_year":[],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-09T00:00:00"}