{"id":"https://openalex.org/W7126116745","doi":"https://doi.org/10.1109/bibm66473.2025.11356979","title":"Brain-SAM: Modality-Agnostic Model for Brain Lesion Segmentation","display_name":"Brain-SAM: Modality-Agnostic Model for Brain Lesion Segmentation","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126116745","doi":"https://doi.org/10.1109/bibm66473.2025.11356979"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356979","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356979","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/A5060340166","display_name":"Yifeng Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yifeng Wu","raw_affiliation_strings":["Southern University of Science and Technology,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124256601","display_name":"Yicheng Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yicheng Yu","raw_affiliation_strings":["Minzu University of China,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Minzu University of China,Beijing,China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059012572","display_name":"Zhongheng Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]},{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhongheng Yang","raw_affiliation_strings":["Northeastern University,Boston,United States"],"affiliations":[{"raw_affiliation_string":"Northeastern University,Boston,United States","institution_ids":["https://openalex.org/I12912129","https://openalex.org/I111088046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038137163","display_name":"Zeng Zy","orcid":null},"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":"Zixuan Zeng","raw_affiliation_strings":["Sun Yat-sen University,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,Shenzhen,China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124239310","display_name":"Guanhua Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanhua Chen","raw_affiliation_strings":["Southern University of Science and Technology,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065474848","display_name":"Jinping Xu","orcid":"https://orcid.org/0000-0003-3877-5445"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinping Xu","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences,Shenzhen,China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5060340166"],"corresponding_institution_ids":["https://openalex.org/I3045169105"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.6927616,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3000","last_page":"3005"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.651199996471405,"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":0.651199996471405,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.14399999380111694,"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":0.07020000368356705,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7418000102043152},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5856999754905701},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5271999835968018},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.45669999718666077},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4058000147342682},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.39800000190734863},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.382999986410141},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.34940001368522644}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7771999835968018},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7418000102043152},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5856999754905701},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5587999820709229},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5271999835968018},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.45669999718666077},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4058000147342682},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.39800000190734863},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.382999986410141},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.34940001368522644},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3463999927043915},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.33709999918937683},{"id":"https://openalex.org/C2781156865","wikidata":"https://www.wikidata.org/wiki/Q827023","display_name":"Lesion","level":2,"score":0.3246000111103058},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.3222000002861023},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3206000030040741},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3061999976634979},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.2957000136375427},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2904999852180481},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.2890999913215637},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.28349998593330383},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.267300009727478}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356979","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356979","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/G5333013917","display_name":null,"funder_award_id":"62476267","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2777186991","https://openalex.org/W3035665735","https://openalex.org/W4212875960","https://openalex.org/W4284973149","https://openalex.org/W4295938041","https://openalex.org/W4311663126","https://openalex.org/W4384923855","https://openalex.org/W4385245566","https://openalex.org/W4386852157","https://openalex.org/W4387642391","https://openalex.org/W4387968082","https://openalex.org/W4390874575","https://openalex.org/W4391109864","https://openalex.org/W4402400868","https://openalex.org/W4403067074","https://openalex.org/W4403147953","https://openalex.org/W4403944333","https://openalex.org/W4406259884"],"related_works":[],"abstract_inverted_index":{"Brain":[0],"lesion":[1,17],"segmentation":[2,72,180],"is":[3,84,94,119,159,213],"a":[4,68,113],"critical":[5],"yet":[6],"challenging":[7,137],"task":[8],"in":[9,39],"the":[10,122,146,153,156,167,205],"medical":[11],"analysis":[12],"applications,":[13],"primarily":[14],"due":[15],"to":[16,27,53],"heterogeneity":[18],"and":[19,101,142,198],"low-contrast":[20],"boundaries.":[21],"However,":[22],"existing":[23],"methods":[24,207],"give":[25],"rise":[26],"two":[28,87,209],"main":[29],"concerns:":[30],"1)":[31],"lacking":[32],"effective":[33],"utilization":[34],"of":[35,43,61,96,109,124,169,185,191],"multi-modality":[36,102],"information":[37],"results":[38],"incomplete":[40],"complementary":[41,125],"cues":[42],"heterogeneous":[44],"tumor":[45],"regions;":[46],"2)":[47],"relying":[48],"on":[49,55,66,136,148,175,208,216],"prompt-based":[50],"decoder":[51],"leads":[52],"dependency":[54],"manual":[56],"annotation":[57],"priors.":[58],"In":[59],"light":[60],"these":[62],"issues,":[63],"we":[64],"focus":[65],"investigating":[67],"fully":[69],"automated":[70],"3D":[71],"model":[73],"specifically":[74],"tailored":[75],"for":[76,161],"substantial":[77,186],"brain":[78,178,187],"lesions,":[79,188],"dubbed":[80],"as":[81],"Brain-SAM,":[82],"which":[83,164],"powered":[85],"by":[86],"appealing":[88],"designs:":[89],"(1)":[90],"Modality-Agnostic":[91],"Encoder":[92],"that":[93,132],"capable":[95],"automatically":[97],"transitioning":[98],"between":[99],"single-modality":[100],"input":[103],"modes.":[104],"To":[105],"achieve":[106],"synergistic":[107],"integration":[108],"structurally":[110],"divergent":[111],"modalities,":[112],"parameter-efficient":[114],"Agent":[115],"Cross":[116],"Attention":[117],"mechanism":[118],"intro-duced,":[120],"facilitating":[121],"extraction":[123],"pathological":[126],"patterns.":[127],"(2)":[128],"Memorable":[129],"Scale-Aware":[130],"Decoder":[131],"enhances":[133,166],"hierarchically":[134],"focuses":[135],"lesions":[138],"(e.g.,":[139],"small":[140],"sizes":[141],"fuzzy":[143],"boundaries),":[144],"discarding":[145],"reliance":[147],"prompt":[149],"information.":[150],"Benefiting":[151],"from":[152],"memory":[154],"guidance,":[155],"prior":[157],"knowledge":[158],"leveraged":[160],"contextual":[162],"learning,":[163],"optimally":[165],"continuity":[168],"three-dimensional":[170],"features.":[171],"We":[172],"evaluate":[173],"Brain-SAM":[174],"four":[176],"common":[177],"disease":[179],"benchmarks":[181],"across":[182],"five":[183],"datasets":[184],"including":[189],"cases":[190],"focal":[192],"cortical":[193],"dysplasia,":[194],"glioma,":[195],"cerebral":[196,199],"hemorrhage,":[197],"ischemia,":[200],"yielding":[201],"consistent":[202],"improvements":[203],"over":[204],"state-of-the-art":[206],"metrics.":[210],"Our":[211],"code":[212],"currently":[214],"open-source":[215],"https://anonymous.4open.science/r/Brain-SAM-50F4.":[217]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-30T00:00:00"}