{"id":"https://openalex.org/W7161798649","doi":"https://doi.org/10.1109/isbi61048.2026.11515655","title":"A Unified Brain Extraction Framework Powered by Structure-Intensity Disentanglement-Based Data Augmentation","display_name":"A Unified Brain Extraction Framework Powered by Structure-Intensity Disentanglement-Based Data Augmentation","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7161798649","doi":"https://doi.org/10.1109/isbi61048.2026.11515655"},"language":null,"primary_location":{"id":"doi:10.1109/isbi61048.2026.11515655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515655","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":"conference-paper","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/A5133914109","display_name":"Xiaoye Li","orcid":null},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoye Li","raw_affiliation_strings":["School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University,Shanghai,China,201210"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University,Shanghai,China,201210","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061589980","display_name":"Shijie Huang","orcid":"https://orcid.org/0000-0002-9508-0458"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shijie Huang","raw_affiliation_strings":["School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University,Shanghai,China,201210"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University,Shanghai,China,201210","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418049","display_name":"Yulin Wang","orcid":"https://orcid.org/0000-0002-9899-7712"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulin Wang","raw_affiliation_strings":["School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University,Shanghai,China,201210"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University,Shanghai,China,201210","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055876949","display_name":"Zifeng Lian","orcid":"https://orcid.org/0000-0001-6627-8580"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zifeng Lian","raw_affiliation_strings":["School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University,Shanghai,China,201210"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University,Shanghai,China,201210","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136590784","display_name":"Jiameng Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiameng Liu","raw_affiliation_strings":["School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University,Shanghai,China,201210"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University,Shanghai,China,201210","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136586610","display_name":"Kaicong Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaicong Sun","raw_affiliation_strings":["School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University,Shanghai,China,201210"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University,Shanghai,China,201210","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5136555667","display_name":"Dinggang Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dinggang Shen","raw_affiliation_strings":["School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University,Shanghai,China,201210"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University,Shanghai,China,201210","institution_ids":["https://openalex.org/I30809798"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I30809798"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.07970000058412552,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.07970000058412552,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.07199999690055847,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.05119999870657921,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3370000123977661},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.3246000111103058},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.27149999141693115},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.26429998874664307},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.25780001282691956}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5878000259399414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5128999948501587},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3370000123977661},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.3246000111103058},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.25780001282691956},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2549000084400177},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25029999017715454},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.24220000207424164}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi61048.2026.11515655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515655","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":[{"id":"https://metadata.un.org/sdg/10","score":0.6854146122932434,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2091901390","display_name":null,"funder_award_id":"S20240085,STI2030Major Projects-2022ZD0209000,STI2030-Major Projects2022ZD0213100","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"},{"id":"https://openalex.org/G6949627334","display_name":null,"funder_award_id":"62131015,82441023,U23A20295,82394432","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"},{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1909740415","https://openalex.org/W2071881327","https://openalex.org/W2082704080","https://openalex.org/W2091233543","https://openalex.org/W2122328291","https://openalex.org/W2284198383","https://openalex.org/W2297651635","https://openalex.org/W2524545577","https://openalex.org/W2590651237","https://openalex.org/W2729876886","https://openalex.org/W2789530810","https://openalex.org/W2793631099","https://openalex.org/W2968446587","https://openalex.org/W3035294798","https://openalex.org/W4221163766","https://openalex.org/W4241074797","https://openalex.org/W4285097303","https://openalex.org/W4389319130"],"related_works":[],"abstract_inverted_index":{"Brain":[0],"extraction":[1,40],"is":[2,92],"a":[3,34,58,75,131,137,146],"fundamental":[4],"step":[5],"in":[6,24],"neuroimaging":[7,151],"analysis,":[8],"yet":[9],"existing":[10,114],"methods":[11],"are":[12],"often":[13],"constrained":[14],"to":[15,70,81,99,102,113],"specific":[16],"modalities":[17,44],"or":[18],"age":[19],"groups,":[20],"limiting":[21],"their":[22],"applicability":[23],"largescale,":[25],"lifespan":[26,61],"studies.":[27],"In":[28],"this":[29],"work,":[30],"we":[31,55],"present":[32],"BrainExt,":[33],"unified":[35,142],"foundation":[36,140],"model":[37,91],"for":[38,86,141,149],"brain":[39,62,143],"across":[41,123],"multiple":[42],"imaging":[43],"and":[45,52,73,110,119,130,153],"the":[46],"whole":[47],"lifespan.":[48],"To":[49],"address":[50],"inter-modality":[51],"across-age":[53],"variations,":[54],"first":[56],"collect":[57],"large-scale":[59],"multi-modal,":[60],"dataset":[63],"of":[64],"25,487":[65],"scans":[66,98],"spanning":[67],"from":[68],"fetal":[69],"elderly":[71],"subjects":[72],"introduce":[74],"Structure-Intensity":[76],"Disentanglement":[77],"Synthesis":[78],"(SIDSyn)":[79],"module":[80],"generate":[82],"real-world":[83,103],"distribution-aligned":[84],"data":[85,104],"robust":[87],"pre-training.":[88],"The":[89],"pre-trained":[90],"subsequently":[93],"fine-tuned":[94],"on":[95],"real":[96],"clinical":[97,154],"better":[100],"adapt":[101],"distributions.":[105],"BrainExt":[106,135],"demonstrates":[107],"superior":[108],"generalization":[109],"stability":[111],"compared":[112],"methods,":[115],"achieving":[116],"high":[117],"Dice":[118],"low":[120],"surface":[121],"distance":[122],"all":[124],"modalities.":[125],"Empowered":[126],"by":[127],"disentanglement-based":[128],"augmentation":[129],"two-stage":[132],"training":[133],"strategy,":[134],"provides":[136],"scalable,":[138],"modality-agnostic":[139],"extraction,":[144],"establishing":[145],"strong":[147],"basis":[148],"advancing":[150],"research":[152],"applications.":[155]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-05-21T00:00:00"}