{"id":"https://openalex.org/W7126119898","doi":"https://doi.org/10.1109/bibm66473.2025.11356588","title":"SLFCNet: Brain Tumor Segmentation Architecture for Incomplete MRI via Shared Latent Feature Compensation","display_name":"SLFCNet: Brain Tumor Segmentation Architecture for Incomplete MRI via Shared Latent Feature Compensation","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126119898","doi":"https://doi.org/10.1109/bibm66473.2025.11356588"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356588","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5124201565","display_name":"Chunyan Yu","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":true,"raw_author_name":"Chunyan Yu","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University,Fuzhou,China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University,Fuzhou,China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124198083","display_name":"Wanjian Xu","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":"Wanjian Xu","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University,Fuzhou,China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University,Fuzhou,China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124251248","display_name":"Zexi Lin","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":"Zexi Lin","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University,Fuzhou,China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University,Fuzhou,China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008327508","display_name":"Shun Huang","orcid":"https://orcid.org/0009-0005-4645-6999"},"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":"Shengbiao Huang","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University,Fuzhou,China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University,Fuzhou,China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124172350","display_name":"Zejie Yan","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":"Zejie Yan","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University,Fuzhou,China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University,Fuzhou,China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124285946","display_name":"Jiannan You","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":"Jiannan You","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University,Fuzhou,China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University,Fuzhou,China","institution_ids":["https://openalex.org/I80947539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5124201565"],"corresponding_institution_ids":["https://openalex.org/I80947539"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.69290379,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6001","last_page":"6008"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.46970000863075256,"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":0.46970000863075256,"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":0.4138000011444092,"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":0.02889999933540821,"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":0.7186999917030334},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6380000114440918},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5446000099182129},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5248000025749207},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.4081999957561493},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.38839998841285706},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.35179999470710754}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7666000127792358},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7186999917030334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.694100022315979},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6380000114440918},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5446000099182129},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5248000025749207},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.4081999957561493},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.38839998841285706},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3779999911785126},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.35179999470710754},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3456999957561493},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3244999945163727},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.31310001015663147},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.31150001287460327},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.3077000081539154},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.29249998927116394},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.26249998807907104},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356588","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8569679628","display_name":null,"funder_award_id":"2023YFB2904000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2502805798","https://openalex.org/W2962678076","https://openalex.org/W3000179685","https://openalex.org/W3010913688","https://openalex.org/W3143351114","https://openalex.org/W3203976604","https://openalex.org/W4295938041","https://openalex.org/W4380881563","https://openalex.org/W4382450643","https://openalex.org/W4389426316","https://openalex.org/W4403152483"],"related_works":[],"abstract_inverted_index":{"In":[0],"clinical":[1],"practice,":[2],"MR":[3],"images":[4],"with":[5],"incomplete":[6,19],"modalities":[7],"lead":[8],"to":[9,30,69,85],"severe":[10],"degradation":[11],"of":[12,34,40,49,90,94,120],"tumor":[13],"segmentation":[14,36,108],"performance.":[15],"We":[16],"propose":[17],"an":[18],"modality":[20],"Segmentation":[21],"network":[22],"based":[23],"on":[24,112],"shared":[25,53,74,77],"latent":[26,78],"feature":[27],"compensation":[28],"(SLFCNet)":[29],"address":[31],"the":[32,38,66,73,83,91,118],"challenge":[33],"robust":[35],"in":[37],"presence":[39],"arbitrary":[41],"missing":[42],"modalities.":[43],"Specifically,":[44],"SLFCNet":[45],"includes":[46],"a":[47,52,56],"set":[48],"hybrid":[50,63],"encoders,":[51],"encoder,":[54],"and":[55,103,114],"Multimodal":[57],"correlation":[58],"Modeling":[59],"Module":[60],"(MCMM).":[61],"The":[62,80,96],"encoder":[64,75],"employs":[65],"mamaba":[67],"mechanism":[68],"extract":[70],"modality-specific":[71],"features;":[72],"extracts":[76],"features.":[79,95],"MCMM":[81],"introduces":[82],"Transformer":[84],"realize":[86],"effective":[87],"information":[88,102],"fusion":[89],"two":[92],"types":[93],"fused":[97],"features":[98],"have":[99],"richer":[100],"semantic":[101],"can":[104],"produce":[105],"more":[106],"accurate":[107],"results.":[109],"Comprehensive":[110],"experiments":[111],"BraTS2018":[113],"BraTS2021":[115],"datasets":[116],"verify":[117],"effectiveness":[119],"our":[121],"method.":[122]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-30T00:00:00"}