{"id":"https://openalex.org/W7126080411","doi":"https://doi.org/10.1109/bibm66473.2025.11357150","title":"MorphMamba: A Global Context-Aware Mamba for Volumetric Multi-Organ Segmentation","display_name":"MorphMamba: A Global Context-Aware Mamba for Volumetric Multi-Organ Segmentation","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126080411","doi":"https://doi.org/10.1109/bibm66473.2025.11357150"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11357150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11357150","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/A5108045047","display_name":"Saidi Guo","orcid":"https://orcid.org/0000-0003-1943-635X"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Saidi Guo","raw_affiliation_strings":["Zhengzhou University,Zhengzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhengzhou University,Zhengzhou,China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101608437","display_name":"Haoran Geng","orcid":"https://orcid.org/0000-0001-8375-7196"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoran Geng","raw_affiliation_strings":["Zhengzhou University,Zhengzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhengzhou University,Zhengzhou,China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112641291","display_name":"Weijie Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Weijie Cai","raw_affiliation_strings":["Queen Mary University of London,London,United Kingdom"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London,London,United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022926968","display_name":"Jinquan Luo","orcid":"https://orcid.org/0000-0003-3983-6502"},"institutions":[{"id":"https://openalex.org/I4210107594","display_name":"Zhongshan People's Hospital","ror":"https://ror.org/01x5dfh38","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210107594"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinquan Luo","raw_affiliation_strings":["The People&#x0027;s Hospital of Zhongshan,Zhongshan,China"],"affiliations":[{"raw_affiliation_string":"The People&#x0027;s Hospital of Zhongshan,Zhongshan,China","institution_ids":["https://openalex.org/I4210107594"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060158141","display_name":"Mancheng Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210107594","display_name":"Zhongshan People's Hospital","ror":"https://ror.org/01x5dfh38","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210107594"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mancheng Gong","raw_affiliation_strings":["The People&#x0027;s Hospital of Zhongshan,Zhongshan,China"],"affiliations":[{"raw_affiliation_string":"The People&#x0027;s Hospital of Zhongshan,Zhongshan,China","institution_ids":["https://openalex.org/I4210107594"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124289953","display_name":"Xianfan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114043","display_name":"Henan Institute of Technology","ror":"https://ror.org/024f5m737","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210114043"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianfang Wang","raw_affiliation_strings":["Henan Institute of Technology,Xinxiang,China"],"affiliations":[{"raw_affiliation_string":"Henan Institute of Technology,Xinxiang,China","institution_ids":["https://openalex.org/I4210114043"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085632247","display_name":"Nan Lin","orcid":"https://orcid.org/0000-0002-8331-6988"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Lin","raw_affiliation_strings":["Zhengzhou University,Zhengzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhengzhou University,Zhengzhou,China","institution_ids":["https://openalex.org/I38877650"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5108045047"],"corresponding_institution_ids":["https://openalex.org/I38877650"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.69164441,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3630","last_page":"3633"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.7146000266075134,"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":0.7146000266075134,"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/T10862","display_name":"AI in cancer detection","score":0.05350000038743019,"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"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.04839999973773956,"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":0.6741999983787537},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6617000102996826},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5983999967575073},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5753999948501587},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5565999746322632},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5144000053405762},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4805000126361847},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46239998936653137},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.43790000677108765}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7074999809265137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6805999875068665},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6741999983787537},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6617000102996826},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5983999967575073},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5753999948501587},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5565999746322632},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5144000053405762},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.498199999332428},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4805000126361847},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46239998936653137},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.43790000677108765},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.39750000834465027},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.39649999141693115},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.38600000739097595},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.37059998512268066},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.3402000069618225},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3366999924182892},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.3337000012397766},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.32580000162124634},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.314300000667572},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.31139999628067017},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3091000020503998},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.30809998512268066},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3037000000476837},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.298799991607666},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.28610000014305115},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2856000065803528},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.25850000977516174},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.2565999925136566},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11357150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11357150","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/G3907687336","display_name":null,"funder_award_id":"62072157","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5536042715","display_name":null,"funder_award_id":"252300423359","funder_id":"https://openalex.org/F4320323845","funder_display_name":"Natural Science Foundation of Henan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323845","display_name":"Natural Science Foundation of Henan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2962914239","https://openalex.org/W3138516171","https://openalex.org/W3204166336","https://openalex.org/W3204255739","https://openalex.org/W4306975314","https://openalex.org/W4379140988","https://openalex.org/W4396705030","https://openalex.org/W4401247101","https://openalex.org/W4403152483","https://openalex.org/W4405911113","https://openalex.org/W4406047507","https://openalex.org/W4408537585","https://openalex.org/W4409985478","https://openalex.org/W4410295645","https://openalex.org/W4410295818","https://openalex.org/W4410296443","https://openalex.org/W4410296941","https://openalex.org/W4410453865","https://openalex.org/W4411070653","https://openalex.org/W4415043857"],"related_works":[],"abstract_inverted_index":{"We":[0,102],"introduce":[1],"MorphMamba,":[2],"a":[3,47,57,71,89,121,126,146],"new":[4,147],"deep":[5],"learning":[6],"architecture":[7,66],"for":[8,62,151],"3D":[9,39,152],"medical":[10,43],"image":[11],"segmentation":[12],"that":[13],"successfully":[14],"adapts":[15],"the":[16,37,94,104],"efficiency":[17],"of":[18,42,107,139],"state":[19],"space":[20],"models":[21,28],"to":[22,35,46,80,96],"volumetric":[23,63],"data.":[24],"While":[25],"standard":[26],"Mamba":[27],"excel":[29],"at":[30,158],"long-sequence":[31],"modeling,":[32],"they":[33],"fail":[34],"preserve":[36],"rich":[38],"spatial":[40],"context":[41],"images":[44],"due":[45],"required":[48],"data-flattening":[49],"step.":[50],"MorphMamba":[51,108],"overcomes":[52],"this":[53],"critical":[54],"limitation":[55],"with":[56],"novel":[58],"Mamba-based":[59],"encoder":[60],"designed":[61],"inputs.":[64],"Our":[65,131,154],"integrates":[67],"two":[68],"key":[69],"innovations:":[70],"Channel-Spatial":[72],"Attention":[73],"Guided":[74],"module,":[75],"which":[76],"refines":[77],"feature":[78,100],"maps":[79],"emphasize":[81],"salient":[82],"anatomical":[83],"information":[84],"before":[85],"sequential":[86],"processing,":[87],"and":[88,125,142,148],"Context":[90],"Refining":[91],"Block":[92],"in":[93,137],"skip-connections":[95],"ensure":[97],"optimal":[98],"multi-scale":[99],"fusion.":[101],"demonstrate":[103],"state-of-the-art":[105],"performance":[106],"through":[109],"extensive":[110],"experiments":[111],"on":[112],"four":[113],"diverse":[114],"benchmarks,":[115],"including":[116],"BraTS":[117],"2023,":[118],"LiTS":[119],"2017,":[120],"private":[122,127],"cardiac":[123],"dataset":[124],"prostate":[128],"tumor":[129],"dataset.":[130],"model":[132],"consistently":[133],"achieves":[134],"superior":[135],"results":[136],"terms":[138],"both":[140],"accuracy":[141],"boundary":[143],"delineation,":[144],"establishing":[145],"efficient":[149],"baseline":[150],"segmentation.":[153],"code":[155],"is":[156],"available":[157],"https://github.com/haoranGeng/MorphMamba.":[159]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-30T00:00:00"}
