{"id":"https://openalex.org/W4313525578","doi":"https://doi.org/10.1109/bibm55620.2022.9995409","title":"DBT-UNETR: Double Branch Transformer with Cross Fusion for 3D Medical Image Segmentation","display_name":"DBT-UNETR: Double Branch Transformer with Cross Fusion for 3D Medical Image Segmentation","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4313525578","doi":"https://doi.org/10.1109/bibm55620.2022.9995409"},"language":"en","primary_location":{"id":"doi:10.1109/bibm55620.2022.9995409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm55620.2022.9995409","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5050459584","display_name":"Haojie Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haojie Tao","raw_affiliation_strings":["Northeastern University,College of software,Shenyang,China","College of software, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Northeastern University,College of software,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"College of software, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077441424","display_name":"Keming Mao","orcid":"https://orcid.org/0000-0003-1243-0123"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keming Mao","raw_affiliation_strings":["Northeastern University,College of software,Shenyang,China","College of software, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Northeastern University,College of software,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"College of software, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101620559","display_name":"Yuhai Zhao","orcid":"https://orcid.org/0000-0002-1080-0859"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhai Zhao","raw_affiliation_strings":["Northeastern University,College of Computer science and engineering,Shenyang,China","College of Computer science and engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Northeastern University,College of Computer science and engineering,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"College of Computer science and engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050459584"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":0.4195,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71681164,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1213","last_page":"1218"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9993000030517578,"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":0.9962000250816345,"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":0.7021877765655518},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6921526789665222},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6506220102310181},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6313064098358154},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5400103330612183},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4819871783256531},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42767634987831116},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15419918298721313}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7021877765655518},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6921526789665222},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6506220102310181},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6313064098358154},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5400103330612183},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4819871783256531},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42767634987831116},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15419918298721313},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm55620.2022.9995409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm55620.2022.9995409","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321793","display_name":"Beijing Municipal Education Commission","ror":"https://ror.org/04bpn6s66"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2194775991","https://openalex.org/W2908510526","https://openalex.org/W3094502228","https://openalex.org/W3127751679","https://openalex.org/W3133696297","https://openalex.org/W3138516171","https://openalex.org/W3139049060","https://openalex.org/W3151130473","https://openalex.org/W3172661913","https://openalex.org/W3196811303","https://openalex.org/W3204166336","https://openalex.org/W3206162012","https://openalex.org/W4200015473","https://openalex.org/W4206126987","https://openalex.org/W4212875960","https://openalex.org/W4220672396","https://openalex.org/W4221163766","https://openalex.org/W4280578375","https://openalex.org/W4281263827","https://openalex.org/W4283819626","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6757817989","https://openalex.org/W6784333009","https://openalex.org/W6790275670","https://openalex.org/W6790690058","https://openalex.org/W6792695861","https://openalex.org/W6797175998","https://openalex.org/W6810488347"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W4395685956","https://openalex.org/W2799953226","https://openalex.org/W4398146871","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Medical":[0],"image":[1,44],"segmentation":[2],"is":[3,103],"significant":[4],"for":[5,15,32,87],"diagnosis":[6],"and":[7,54,70,120],"prognosis.":[8],"Inspired":[9],"by":[10],"the":[11,38,96,123,127],"success":[12],"of":[13,41,49],"Transformer":[14,27,53,58],"Natural":[16],"Language":[17],"Processing,":[18],"this":[19],"paper":[20],"presents":[21],"DBT-UNETR,":[22],"a":[23,50,55],"novel":[24],"double":[25],"branch":[26,65],"architecture":[28],"with":[29],"cross":[30,68],"fusion":[31],"multi-scale":[33],"feature":[34,78],"representation,":[35],"which":[36],"enhances":[37],"model":[39,97,125],"performance":[40],"3D":[42],"medical":[43],"segmentation.":[45,89],"The":[46,116],"DBT-UNETR":[47],"consists":[48],"single":[51],"scale":[52,57],"multiple":[56],"to":[59,82,93],"capture":[60],"informative":[61],"feature.":[62],"These":[63],"two":[64],"features":[66],"are":[67,73,80,107],"fused":[69],"then":[71],"they":[72],"combined":[74],"together.":[75],"Finally,":[76],"these":[77],"representations":[79],"sent":[81],"decoders":[83],"via":[84],"skip":[85],"connection":[86],"final":[88],"Moreover,":[90],"in":[91],"order":[92],"further":[94],"improve":[95],"performance,":[98],"an":[99],"Early":[100],"Fusion":[101],"module":[102],"designed.":[104],"Comprehensive":[105],"experiments":[106],"conducted":[108],"on":[109],"public":[110],"available":[111],"dataset,":[112],"Multi-Atlas":[113],"Labeling":[114],"Beyond":[115],"Cranial":[117],"Vault":[118],"(BTCV),":[119],"it":[121],"demonstrates":[122],"proposed":[124],"outperforms":[126],"comparative":[128],"baseline":[129],"methods.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
