{"id":"https://openalex.org/W7161809208","doi":"https://doi.org/10.1109/isbi61048.2026.11515770","title":"Task-Oriented Uncertainty Collaborative Learning for Label-Efficient Brain Tumor Segmentation","display_name":"Task-Oriented Uncertainty Collaborative Learning for Label-Efficient Brain Tumor Segmentation","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7161809208","doi":"https://doi.org/10.1109/isbi61048.2026.11515770"},"language":null,"primary_location":{"id":"doi:10.1109/isbi61048.2026.11515770","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114973376","display_name":"Zhenxuan Zhang","orcid":"https://orcid.org/0009-0002-2904-2848"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Zhenxuan Zhang","raw_affiliation_strings":["Imperial College London,Bioengineering Department and Imperial-X,London,UK,W12 7SL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London,Bioengineering Department and Imperial-X,London,UK,W12 7SL","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109547729","display_name":"H. Wu","orcid":"https://orcid.org/0009-0006-6713-6238"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hongjie Wu","raw_affiliation_strings":["Imperial College London,Department of Computing,London,UK,SW7 2AZ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London,Department of Computing,London,UK,SW7 2AZ","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136560806","display_name":"Tao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wang","raw_affiliation_strings":["College of physics and information engineering, Fuzhou University,Fuzhou,China,350108"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of physics and information engineering, Fuzhou University,Fuzhou,China,350108","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136511175","display_name":"Jiahao Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jiahao Huang","raw_affiliation_strings":["Imperial College London,Bioengineering Department and Imperial-X,London,UK,W12 7SL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London,Bioengineering Department and Imperial-X,London,UK,W12 7SL","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001581035","display_name":"Baihong Xie","orcid":"https://orcid.org/0000-0001-9892-3687"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baihong Xie","raw_affiliation_strings":["School of Biomedical Engineering, Sun Yat-sen University,Guangzhou,China,510006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Sun Yat-sen University,Guangzhou,China,510006","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049053722","display_name":"Zhifan Gao","orcid":"https://orcid.org/0000-0002-1576-4439"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhifan Gao","raw_affiliation_strings":["School of Biomedical Engineering, Sun Yat-sen University,Guangzhou,China,510006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Sun Yat-sen University,Guangzhou,China,510006","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012671697","display_name":"Peter Lally","orcid":"https://orcid.org/0000-0003-0075-0103"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Peter J Lally","raw_affiliation_strings":["Imperial College London,Bioengineering Department and Imperial-X,London,UK,W12 7SL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London,Bioengineering Department and Imperial-X,London,UK,W12 7SL","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5136589695","display_name":"Guang Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Guang Yang","raw_affiliation_strings":["Imperial College London,Bioengineering Department and Imperial-X,London,UK,W12 7SL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London,Bioengineering Department and Imperial-X,London,UK,W12 7SL","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5114973376"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.93382117,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.4747999906539917,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.4747999906539917,"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":0.05689999833703041,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.03449999913573265,"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/collaborative-learning","display_name":"Collaborative learning","score":0.4537999927997589},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.44290000200271606},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3587000072002411},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.2605000138282776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6092000007629395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5493000149726868},{"id":"https://openalex.org/C138020889","wikidata":"https://www.wikidata.org/wiki/Q2349659","display_name":"Collaborative learning","level":2,"score":0.4537999927997589},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.44290000200271606},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3587000072002411},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3068999946117401},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2768999934196472},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2547999918460846},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2305999994277954}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi61048.2026.11515770","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2464708700","https://openalex.org/W2905035558","https://openalex.org/W2962914239","https://openalex.org/W3206966550","https://openalex.org/W3214287966","https://openalex.org/W4212875960","https://openalex.org/W4221163766","https://openalex.org/W4283080861","https://openalex.org/W4285505112","https://openalex.org/W4307726656","https://openalex.org/W4385972867","https://openalex.org/W4387211174","https://openalex.org/W4387211248","https://openalex.org/W4390873495","https://openalex.org/W4401252125","https://openalex.org/W4408168032"],"related_works":[],"abstract_inverted_index":{"Multi-contrast":[0],"magnetic":[1],"resonance":[2],"imaging":[3],"(MRI)":[4],"enhances":[5],"brain":[6],"tumour":[7],"segmentation":[8],"by":[9],"combining":[10],"complementary":[11],"tissue":[12],"information":[13],"from":[14],"different":[15],"contrasts.":[16],"Yet,":[17],"existing":[18],"approaches":[19],"struggle":[20],"with":[21],"multi-level":[22],"specificity":[23],"perception":[24],"and":[25,49,63,91,99],"data":[26],"heterogeneity,":[27],"particularly":[28],"under":[29],"limited":[30],"annotations.":[31,104],"We":[32],"propose":[33],"a":[34,43,50,85],"Task-oriented":[35],"Uncertainty":[36],"Collaborative":[37],"Learning":[38],"(TUCL)":[39],"framework":[40],"that":[41],"integrates":[42],"task-oriented":[44],"prompt":[45],"attention":[46,65],"(TPA)":[47],"module":[48],"dual-path":[51],"uncertainty":[52,76],"refinement":[53],"(DUR)":[54],"strategy":[55],"for":[56],"robust":[57],"multi-contrast":[58],"segmentation.":[59],"TPA":[60],"employs":[61],"intra-":[62],"cross-prompt":[64],"to":[66],"model":[67],"inter-contrast":[68],"dependencies,":[69],"while":[70],"DUR":[71],"iteratively":[72],"refines":[73],"predictions":[74],"through":[75],"feedback.":[77],"Evaluated":[78],"on":[79,102],"limited-label":[80],"MRI":[81],"data,":[82],"TUCL":[83],"achieves":[84],"Dice":[86],"score":[87],"of":[88,93],"88.2":[89],"%":[90],"HD95":[92],"10.853":[94],"mm,":[95],"demonstrating":[96],"strong":[97],"generalisation":[98],"reduced":[100],"reliance":[101],"extensive":[103],"Code:":[105],"https://github.com/Zhenxuan-Zhang/TUCL_BrainSeg":[106]},"counts_by_year":[],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2026-05-21T00:00:00"}
